Measurement error correction method and electric component property measurement device
10203396 ยท 2019-02-12
Assignee
Inventors
Cpc classification
G01R35/007
PHYSICS
G01R27/32
PHYSICS
G01R35/00
PHYSICS
International classification
G01R27/28
PHYSICS
G01R35/00
PHYSICS
Abstract
A likely value is calculated by a maximum-likelihood method for all coefficients of a relative error correction circuit network model derived by assuming that, for all pairs of two ports selected from among signal line ports related to application or detection of a high frequency signal and non signal line ports other than the signal line ports, there exists a leak signal directly transferred between the ports. A coefficient of a first relative error correction circuit network submodel derived by assuming that, for all pairs of two ports selected only from among signal line ports, there exists a leak signal directly transferred between the ports, and a coefficient for a non signal line port of a second relative error correction circuit network submodel derived by assuming that there exists a signal reflected at a non signal line port are used as initial values.
Claims
1. A measurement error correction method for an electric property of an electric component including a signal line port connected with a signal line related to application or detection of a high frequency signal and a non signal line port other than the signal line port, the method being configured to calculate, from a result of performing measurement while the electric component is connected with a test jig capable of measuring the signal line and the non signal line port, an estimation value of the electric property of the electric component that would be obtained by performing measurement while the electric component is connected with a reference jig capable of measuring the signal line port only, the method comprising: a first step of obtaining a first measurement value by measuring an electric property for at least one of signal line ports and at least one of non signal line ports of each of at least three kinds of correction data acquisition specimens having equivalent electric properties while the correction data acquisition specimen is connected with the test jig, and measuring an electric property for at least one of signal line ports of each correction data acquisition specimen while the correction data acquisition specimen is connected with the reference jig; a second step of obtaining a second measurement value by preparing a correction data acquisition through-device electrically connected with at least one of the signal line ports and at least one of the non signal line ports, measuring the signal line port and the non signal line port while the correction data acquisition through-device is connected with the test jig, and measuring the signal line port while the correction data acquisition through-device is connected with the reference jig; a third step of determining, based on the first measurement value and the second measurement value, an expression for calculating an estimation value of the electric property of the electric component that would be obtained by measuring the signal line port while the electric component is connected with the reference jig, from a result of measuring the signal line port and the non signal line port while the electric component is connected with the test jig; a fourth step of measuring the signal line port and the non signal line port of any given electric component while the electric component is connected with the test jig; and a fifth step of calculating, by using the expression determined in the third step based on measurement values obtained in the fourth step, an estimation value of the electric property of the electric component that would be obtained by measuring the signal line port while the electric component is connected with the reference jig, wherein: the expression determined in the third step is obtained by using a relative error correction circuit network model derived by assuming that, in each of the reference jig and the test jig, there exists, for all pairs of two ports selected from among the signal line ports and the non signal line ports, a leak signal not transferred to the electric component connected with the two ports but directly transferred between the two ports, in addition to a signal transferred within each of the signal line ports and the non signal line ports, and the third step includes: a first substep of calculating, based on the first measurement value, a first coefficient of a first relative error correction circuit network submodel derived by assuming that, in each of the reference jig and the test jig, there exists, for all pairs of two ports selected only from among the signal line ports, the leak signal not transferred to the electric component connected with the two ports but directly transferred between the two ports, in addition to a signal transferred within each signal line port, a second substep of calculating, based on the second measurement value, a second coefficient other than the coefficient corresponding to the first coefficient among coefficients of a second relative error correction circuit network submodel derived by assuming that, in each of the reference jig and the test jig, there exists a signal reflected at the non signal line port in addition to the assumption for the first relative error correction circuit network model, and a third substep of calculating, using the first and second coefficients as initial values of the coefficients corresponding to the first and second coefficients among the coefficients of the relative error correction circuit network model and using predetermined values as initial values of the other coefficients, likely values for all of the coefficients of the relative error correction circuit network model by a maximum-likelihood method using the first and second measurement values, and determining the expression by using the calculated likely values.
2. An electric component property measurement device configured to perform, for an electric component including a signal line port connected with a signal line related to application or detection of a high frequency signal and a non signal line port other than the signal line port, measurement of the signal line port and the non signal line port while the electric component is connected with a test jig capable of measuring the signal line and the non signal line port, and calculate, from a result of the measurement, an estimation value of the electric property of the electric component that would be obtained by measuring the signal line port while the electric component is connected with a reference jig capable of measuring the signal line port only, the device comprising: a measurement unit configured to measure the signal line port and the non signal line port while the electric component is connected with the test jig; an expression storage unit configured to store a value of a coefficient of an expression determined for calculating, based on a first measurement value acquired by measuring an electric property for at least one of signal line ports of each of at least three kinds of correction data acquisition specimens having equivalent electric properties while the correction data acquisition specimen is connected with the test jig and while the correction data acquisition specimen is connected with the reference jig, and a second measurement value acquired by measuring at least one of signal line ports and at least one of non signal line ports while a correction data acquisition through-device electrically connected with the signal line port and the non signal line port is connected with the test jig and measuring the signal line port while the correction data acquisition through-device is connected with the reference jig, an estimation value of the electric property of the electric component that would be obtained by measuring the signal line port while the electric component is connected with the reference jig from a result of measuring the signal line port and the non signal line port while the electric component is connected with the test jig; and an electric property estimation unit configured to read the value of the coefficient stored in the expression storage unit from a measurement value obtained for any given electric component by measurement at the measurement unit, and calculate, using the expression, an estimation value of the electric property of the electric component that would be obtained by measuring the signal line port while the electric component is connected with the reference jig, wherein: the value of the coefficient stored in the expression storage unit: is a value of a coefficient of a relative error correction circuit network model derived by assuming that, in each of the reference jig and the test jig, there exists, for all pairs of two ports selected from among the signal line ports and the non signal line ports, a leak signal not transferred to the electric component connected with the two ports but directly transferred between the two ports, in addition to a signal transferred within each of the signal line ports and the non signal line ports, and is, for all of the coefficients of the relative error correction circuit network model, a likely value calculated by a maximum-likelihood method based on the first and second measurement values by using: the first coefficient calculated based on the first measurement value as an initial value of the coefficient of the relative error correction circuit network model corresponding to a first coefficient of a first relative error correction circuit network submodel derived by assuming that, in each of the reference jig and the test jig, there exists, for all pairs of two ports selected only from among the signal line ports, the leak signal not transferred to the electric component connected with the two ports but directly transferred between the two ports, in addition to a signal transferred within each signal line port; the second coefficient calculated based on the second measurement value as an initial value of the coefficient of the relative error correction circuit network model corresponding to a second coefficient other than the coefficient corresponding to the first coefficient among the relative error correction circuit network models corresponding to a coefficient for the non signal line port of a second relative error correction circuit network submodel derived by assuming that, in each of the reference jig and the test jig, there exists a signal reflected at the non signal line port in addition to the assumption for the first relative error correction circuit network model; and predetermined values as initial values of the other coefficients of the relative error correction circuit network model.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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DETAILED DESCRIPTION
(12) An embodiment of the present disclosure will be described below with reference to
(13) Measurement System
(14)
(15) The measurement device 110 performs arithmetic processing on measurement data in accordance with a predetermined program to calculate the electric property of the electric component 102. In this case, the measurement device 110 reads necessary data such as a measurement value and a coefficient used for calculation from, for example, an internal memory and a recording medium, or from an external device (for example, a server) through communication. The measurement device 110 may be configured as a plurality of separate devices. For example, the measurement device 110 may be divided into a measurement unit configured to perform measurement only, and a calculation unit configured to receive inputting of measurement data and perform arithmetic processing and validity determination.
(16) The measurement device 110 only needs to include an expression storage unit such as a memory and an electric property estimation unit such as a CPU. The expression storage unit stores data (values of coefficients of a relative error correction circuit network model) of expressions used in a relative error correction method to be described later in detail. The electric property estimation unit calculates an estimation value of a reference jig measurement value for any given electric component using this data. In other words, the measurement device 110 may be configured to (a) determine the expressions used in the relative error correction method by performing measurement and calculation itself, (b) determine the expressions used in the relative error correction method by using data measured by another measurement device, or (c) store, in the expression storage unit, data of the expressions used in the relative error correction method, which is determined by another measurement device, and calculate, through the electric property estimation unit, an estimation value of the reference jig measurement value for any given electric component using the data.
(17) It is difficult to manufacture a plurality of the measurement jigs 112 having an identical property.
(18) For this reason, measurements of the same electric component 102 yield different measurement results when different measurement jigs 112 are used between the measurements because each measurement jig has a property variation. For example, different measurement results are obtained between a measurement jig used to guarantee an electric property for a user and a measurement jig used in measurement for a property-based selection in a process of manufacturing an electric component. Such a measurement value difference between measurement jigs can be corrected by the relative error correction method described below.
(19) Measurement Jig
(20) The following describes measurement jigs (a reference jig 10 and a test jig 20) used in the relative error correction method with reference to
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(23) The test jig 20 may be provided with the mounting unit 14 as provided to the reference jig 10, or may not be provided with the mounting unit 14. The test jig 20 has less restriction on designing as compared to the reference jig 10, and thus may have a configuration for facilitating mass production.
(24) Relative Error Correction Circuit Network Model
(25) The following describes the relative error correction circuit network model with reference to signal flow graphs in
(26)
(27)
(28)
(29) Theoretically, the cancellation circuit block 29 of the test jig is obtained by converting the scattering matrix (S parameter) of the circuit block 28 of the test jig into a transmission matrix (T parameter), calculating an inverse matrix of the transmission matrix, and converting the inverse matrix back into a scattering matrix. A part 27 where the cancellation circuit block 29 of the test jig and the circuit block 28 of the test jig are connected provides a cancellation state in which each port has a transmission coefficient of one and a reflection coefficient of zero, and no signal is directly transferred between different ports. Thus, the state illustrated in
(30) In
(31)
(32) Thus, when each coefficient corresponding to an arrowed line segment in the circuit block 38 of the relative error correction adapter is determined and the values of nodes c.sub.1, d.sub.1, c.sub.2, d.sub.2, c.sub.3, and d.sub.3 in the right part of the circuit block 38 of the relative error correction adapter are set to be measurement values in the test state, calculation of the values of nodes a.sub.1, b.sub.1, a.sub.2, and b.sub.2 in the left part of the circuit block 38 of the relative error correction adapter yields measurement values in the reference state. In other words, synthesizing the relative error correction adapter with the measurement values in the test state can obtain measurement values in the reference state.
(33) The circuit block 38 of the relative error correction adapter represents the relative error correction circuit network model. The circuit block 38 of the relative error correction adapter, which is the relative error correction circuit network model, is derived on an assumption that, in each of the reference jig and the test jig, there exists, for all pairs of two ports selected only from among signal line ports, a leak signal not transferred to an electric component connected with the two ports but directly transferred between the two ports, in addition to a signal transferred within an identical signal line port, as illustrated in
(34) Procedure of Measurement Error Correction Method
(35) The following describes a specific procedure of a measurement error correction method with reference to
(36) (Procedure 1)
(37) First, initial values of a transmission path and a leak error component are derived.
(38) The circuit block 32 of the relative error correction adapter is derived by assuming that, in each of the reference jig and the test jig, there exists, for all pairs of two ports selected only from among signal line ports, the leak signal not transferred to an electric component connected with the two ports but directly transferred between the two ports, in addition to a signal transferred within each signal line port. In other words, the derivation is made by assuming a circuit block (signal flow) of the reference jig and a circuit block (signal flow) of the test jig that do not include a branch at least one of the start and end points of which is a non signal port. The circuit block 32 of the relative error correction adapter is a first relative error correction circuit network submodel.
(39) A coefficient corresponding to each branch of the circuit block 32 of the relative error correction adapter, in other words, a coefficient of the first relative error correction circuit network submodel is calculated by the same method as the method disclosed in Japanese Patent No. 5246172.
(40) Specifically, first, a first measurement value is obtained by measuring an electric property for at least one of signal line ports of each of at least three kinds of correction data acquisition specimens having equivalent electric properties while the correction data acquisition specimen is connected with the test jig and while the correction data acquisition specimen is connected with the reference jig. This corresponds to a first step.
(41) Subsequently, the coefficient corresponding to each branch of the circuit block 32 of the relative error correction adapter illustrated in
(42) The coefficient corresponding to each branch of the circuit block 32 of the relative error correction adapter illustrated in
(43) In the first relative error correction circuit network submodel illustrated in
(44) From
(45)
The T parameter T.sub.CA corresponding to a relative correction adapter 32 is given by Expression 4 below.
(46)
(47) T.sub.CA11, T.sub.CA12, T.sub.CA21, and T.sub.CA22 represent 22 square matrices obtained by dividing T.sub.CA. Specifically, T.sub.CA11, T.sub.CA12, T.sub.CA21, and T.sub.CA22 are given by Expression 5 below.
(48)
(49) Expression 1 can be written as Expressions 6 and 7 below using Expressions 5.
(50)
Substituting Expressions 3 and 7 into Expression 6 yields Expression 8 below.
(51)
Substituting Expression 2 into Expression 8 yields Expression 9 below.
T.sub.CA11.Math.S.sub.T+T.sub.CA12=S.sub.D.Math.(T.sub.CA21.Math.S.sub.T+T.sub.CA22)Expression 9
Multiplying Expression 9 with (T.sub.CA21.Math.S.sub.T+T.sub.CA22).sup.1 from the right derives Expression 10 below.
S.sub.D=(T.sub.CA11.Math.S.sub.T+T.sub.CA12).Math.(T.sub.CA21.Math.S.sub.T+T.sub.CA22).sup.1Expression 10
(52) Deforming Expression 10 into a linear combination for T.sub.CA yields Expressions 11 and 12 below.
(53)
(54) In the above expressions,Expression 13
represents the Kronecker product, and
cs[ ]Expression 14
represents a column expansion.
(55) The superscript t represents a transpose matrix.
(56) I.sub.2 is a 22 unit matrix. Hereinafter, I.sub.n is defined to be an nn unit matrix.
(57) Specifically, when the relative error correction adapter is defined by using the T parameter, other coefficients can be normalized with one optional coefficient, which allows definition of a normal equation of the least-squares method. With the S parameter, however, other coefficients cannot be normalized with one optional coefficient, and thus the normal equation is measured to be zero. For this reason, solutions of the least-squares method are values of the rightmost column (related to mapping with the smallest singular value) of the right singular vector of a singular value decomposition.
(58) The relative error correction adapter can be represented by Expression 15 below. Expression 15 can be deformed into Expression 17.
T.sub.CA=UDV.sup.tExpression 15
(59) U.Math.V is a 416 matrix and have a relation represented by
(60) Expression 16 below. D is a diagonal matrix of positive numbers.
(61)
.sub.k represents a singular value of T.sub.CA. U.sub.k is a left singular vector. V.sub.k is a right singular vector.
(62) In this case, a derived solution is the product of the true T parameter and an unknown coefficient A. The true T parameter needs to be known before the S parameter is converted into the T parameter. Thus, the coefficient A is derived by using the reciprocal theorem.
(63) The coefficient A is calculated based on the determination of the T parameter is one when the reciprocal theorem holds. In this case, the number of solutions of the coefficient A is equal to the number of elements of the T parameter, and thus each solution of the coefficient A is used to perform the conversion from the T parameter to the S parameter and select a value of the coefficient A for which the reciprocal theorem (S.sub.xy=S.sub.yx, xy) for the S parameter holds.
(64) The relative error correction adapter can be represented by Expression 18 below.
T.sub.CA=A.Math.T.sub.CAExpression 18
T.sub.CA is the true T parameter.
(65) The coefficient A can be calculated based on a relation represented by Expression 19 below.
|T.sub.CA|=1Expression 19
(66) (Procedure 2)
(67) Subsequently, initial values of part of coefficients of the GND port are calculated by the well-known method disclosed in Japanese Patent No. 4009876 using the initial values of a transmission path and a leak signal that are derived in Procedure 1.
(68)
(69) The circuit block 34 of the relative error correction adapter is derived by assuming, in each of the reference jig and the test jig, a signal reflected by the GND port, which is a non signal line port, in addition to the assumption for the circuit block 32 of the relative error correction adapter in
(70) Procedure 2 calculates a coefficient corresponding to the branch 35 of the circuit block 34 of the relative error correction adapter, in other words, part corresponding to a load match for the GND port. The coefficient corresponding to the branch 35 is, among coefficients of the second relative error correction circuit network submodel, a second coefficient other than a coefficient corresponding to a first coefficient of the first relative error correction circuit network submodel.
(71) Since Japanese Patent No. 4009876 uses the relative error correction circuit network model assuming no leak signal, a reflection coefficient is calculated for each port as the coefficient corresponding to the branch 35. However, since Procedure 2 uses the second relative error correction circuit network submodel derived by assuming the leak signal, the coefficient corresponding to the branch 35 is calculated as one common value, not a value for each port.
(72) Specifically, first, a second measurement value is obtained by preparing a correction data acquisition through-device electrically connected with at least one of signal line ports and at least one of non signal line ports, measuring the signal line port and the non signal line port while the correction data acquisition through-device is connected with the test jig, and measuring the signal line port while the correction data acquisition through-device is connected with the reference jig. This corresponds to a second step.
(73) Subsequently, the coefficient corresponding to the branch 35 of the circuit block 34 of the relative error correction adapter, in other words, a second coefficient of the second relative error correction circuit network submodel is calculated based on the obtained second measurement value. This corresponds to a second substep of the third step.
(74) Specifically, the values determined in Procedure 1 are used as values corresponding to branches other than the branch 35 among branches of the circuit block 34 of the relative error correction adapter illustrated in
(75) (Procedure 3)
(76) Subsequently, a likely value is derived by a maximum-likelihood method for all coefficients corresponding to the respective branches of the circuit block 38 of the relative error correction adapter illustrated in the signal flow graph in
(77) The following describes calculation by the maximum-likelihood method in detail.
(78) Measurement values of the k-th standard specimen in the reference state (in which the standard specimen is connected with the reference jig) are represented by a column matrix indicated in Expression 1 in Expression 20 below.
(79)
(80) Expression 2 in Expression 21 below represents difference between the measurement values of the k-th standard specimen in the reference state and values obtained by correcting the measurement values of the k-th standard specimen in the test state (in which the standard specimen is connected with the test jig) to measurement values in the reference state through a relative error correction adapter x.
h.sup.k(x)=s.sup.kg.sup.k(x)+w.sup.kExpression 21
Expression 2
(81) Parameters in Expression 2 are defined as follows. In the expression, h represents a residue, s represents a measurement value in the reference state, x represents a coefficient of the relative error correction adapter, g represents a value obtained by performing correction with the coefficient x of the relative error correction adapter, w represents measurement variation (measurement variation when an identical specimen is measured a plurality of times), and k represents a standard specimen number.
(82) Since the circuit block 38 of the relative error correction adapter illustrated in
(83) Next, a residue of a combination of N standard specimens is represented as a linear combination of Expression 2 as represented by Expression 3 in Expression 22 below.
(84)
(85) According to publicly known literature (for example, KAY, S. M. FUNDAMENTALS OF STATISTICAL SIGNAL PROCESSING: ESTIMATION THEORY), a likelihood function related to h(x) is given by Expression 4 in Expression 23 below. In the expression, C.sub.w represents a covariance matrix when measurement variation w has a normal distribution with an average value of zero.
(86)
(87) Thus, the coefficient x for which the likelihood function has a maximum value is a likely coefficient x, in other words, a likely value of the coefficient of the relative error correction adapter. Accordingly, the likely value (the left-hand side of Expression 5 in Expression 24 below) of the coefficient of the relative error correction adapter is derived through the right-hand side of Expression 5.
(88)
(89) Since the right-hand side of Expression 5 is a non-linear function of x, the solution thereof is derived by a non-linear least-squares method. The Levenberg-Marquardt algorithm (corrected Marquardt algorithm) that is unlikely to diverge and has a high convergence efficiency is used as an algorithm of the non-linear least-squares method.
(90) Procedures 1 and 2 described above calculate all coefficients that can be calculated from measurement values among coefficients of the relative error correction circuit network model. However, this calculation does not take into account all coefficients of the relative error correction circuit network model, and thus has a lower accuracy accordingly. In Procedure 3, the likely value is calculated by the maximum-likelihood method for all coefficients of the relative error correction circuit network model by using the coefficients calculated in Procedures 1 and 2 as initial values.
(91) Specifically, Procedure 3 calculates, using the coefficients of the first and second relative error correction circuit network submodels calculated in Procedures 1 and 2 as initial values of coefficients corresponding to the coefficients of the first and second relative error correction circuit network submodels calculated in Procedures 1 and 2, among the coefficients of the relative error correction circuit network model, and using predetermined values as initial values of other coefficients corresponding to the branches 36a to 36d and 37a to 37d of the circuit block 38 of the relative error correction adapter in
(92) (Procedure 4)
(93) A measurement error of any given electric component is corrected by using the likely values of all coefficients of the relative error correction adapter determined in Procedure 3.
(94) Specifically, the signal line port and the non signal line port are measured while any given electric component is connected with the test jig. This corresponds to a fourth step.
(95) Subsequently, for a specimen measured while the specimen is connected with the test jig, an estimation value of the electric property that would be obtained by measuring the signal line port while the specimen is connected with the reference jig is calculated by using the expression determined by calculating the likely values of coefficients in Procedure 3based on obtained measurement values. This corresponds to a fifth step.
(96) The above-described application of the maximum-likelihood method in Procedure 3 provides three typical effects as follows.
(97) Firstly, a relative error due to signal leakage between ports including a non signal port in a measurement jig can be handled, thereby highly accurately performing relative correction even when error in leakage into the non signal port differs between a reference jig and a test jig. This leads to an increased freedom of designing the measurement jig, thereby achieving a high mass-productivity of the measurement jig.
(98) Secondly, a measurement error can be highly accurately corrected, thereby allowing highly accurate selection of a high-frequency component having a high performance property through a property-based selection process.
(99) Thirdly, for a module in which the property of a high-frequency component is largely affected by other components and substrates due to its reduction in size and thickness, sophistication, and high-functionalization, the electric property of the entire module can be highly accurately estimated by measuring the property of the module before the high-frequency component is mounted thereon, applying the measurement error correction method so as to select a module having a desired property, and mounting the high-frequency component to manufacture the module.
EXEMPLARY EXPERIMENT 1
(100) Two measurement states (the reference state and the test state) in which a GND terminal of a scratchbuilt substrate had different impedances were configured to check the effect of the measurement error correction method according to the present disclosure.
(101) As illustrated in
(102) Seven three-port standard specimens (the correction data acquisition specimen and the correction data acquisition through-device) listed in Table 1 below were prepared as scratchbuilt substrates.
(103) TABLE-US-00001 TABLE 1 Table 1 Standard specimen properties No. Port 1 Port 2 Port 3 (GND) 1 OPEN SHORT LOAD 2 LOAD OPEN LOAD 3 SHORT LOAD LOAD 4 SHORT OPEN LOAD 5 THRU THRU LOAD 6 LOAD OPEN SHORT 7 THRU THRU THRU
(104) The following lists other experiment conditions.
(105) (Measurement device) R3860A (manufactured by Advantest Corporation) (The number of measurement ports)two ports for the reference jig, and three ports for the test jig (Measurement frequency) 300 kHz (Intermediate frequency) 1 kHz (DUT) scratchbuilt substrate (50 microstripline)
(106) The low measurement frequency of 300 kHz is attributable to the instability of a measurement and evaluation system due to attachment and detachment of a connector because a specimen is connected with a jig through the connector as illustrated in
(107) Table 2 below lists measurement values of S.sub.21 of DUT in the reference state, measurement values thereof in the test state, and correction results (estimation values of measurement values in the reference state calculated from the measurement values in the test state).
(108) TABLE-US-00002 TABLE 2 Table 2 Correction Result Comparison of S.sub.21 CORRECTION DIFFERENCE TEST STATE RESULT REFERENCE STATE (I.L.@2 dB) NO CORRECTION 0.922 + 0.020j 0.996 + 0.039j 1.112 UP TO PROCEDURE 2 0.922 + 0.020j 0.989 + 0.039j 0.996 + 0.039j 0.109 PRESENT METHOD 0.922 + 0.020j 0.997 + 0.032j 0.996 + 0.039j 0.032
(109) Table 2 indicates that, the correction up to Procedure 2, which does not involve the maximum-likelihood method, yields a difference of 0.109 dB between the reference state and a result of correction on a measurement system having different impedances of GND terminals, suggesting insufficient correction. The present method including Procedure 3 yields a difference of 0.032 dB between the correction result and the reference state, which indicates that the correction was accurate.
SUMMARY
(110) As described above, the measurement error correction method for an electric component according to the present disclosure can perform accurate correction of differences in measurement values between measurement jigs, taking into account the three factors (transmission path difference, direct wave difference, and non-transmission path difference) that cause the differences in measurement values between the measurement jigs.
(111) The present disclosure is not limited to the above-described embodiment, but can be carried out with various kinds of modifications.
(112) For example, the present disclosure is applicable to an electric component including optional number of signal line ports and non signal line ports.