Radar sensor and method for operating a radar sensor
09791549 · 2017-10-17
Assignee
Inventors
Cpc classification
G01S13/34
PHYSICS
G01S13/02
PHYSICS
International classification
G01S13/34
PHYSICS
Abstract
In a method for operating a radar sensor, the unambiguousness range of the radar sensor is increased with respect to the range and/or the relative velocity by: transmitting multiple ramp sets by the radar sensor, the frequency ramps of the individual ramp sets each differing in one system parameter; adapting the sampling frequency during the detection of the radar echoes in such a way that a constant number of samples always results for each frequency ramp; and, to evaluate the radar signals, the spectra are periodically continued and compared to each other.
Claims
1. A radar sensor, comprising: a transceiver unit configured to transmit a sequence of modulated rapid-chirp radar signals and to receive radar echoes of the transmitted rapid-chirp radar signals which are reflected by an object; and a sampling device configured to sample the received radar echoes at a sampling frequency; wherein: the transmitted rapid-chirp radar signals include at least two ramp sets; each of the at least two ramp sets has a plurality of frequency ramps; each frequency ramp of a ramp set has a ramp period and a frequency deviation, and, within each of the at least two ramp sets, all of the frequency ramps of the ramp set have the same ramp period as one another and the same frequency deviation as one another; two consecutive frequency ramps have a time difference, and within each of the at least two ramp sets, the time differences between consecutive frequency ramps of the ramp set are the same as one another; the transceiver unit transmits the at least two ramp sets, wherein the at least two ramp sets differ from one another in one of the ramp period and the time difference between consecutive frequency ramps, but not both the ramp period and the time difference between consecutive frequency ramps; and the sampling device varies the sampling frequency for each ramp set.
2. The radar sensor as recited in claim 1, wherein the sampling frequency is adapted as a function of the ramp period.
3. The radar sensor as recited in claim 2, wherein the radar echo of each transmitted frequency ramp is detected using an equal number of samples.
4. The radar sensor as recited in claim 3, wherein the radar sensor has an unambiguousness range which is extended up to the least common multiple of all unambiguousness ranges of the individual ramp sets.
5. The radar sensor as recited in claim 3, wherein the transmitted rapid-chirp radar signals include a plurality of ramp sets transmitted in succession.
6. The radar sensor as recited in claim 5, wherein the radar sensor is part of a driver assistance system of a motor vehicle.
7. The radar sensor as recited in claim 3, wherein the transmitted rapid-chirp radar signals include a plurality of interleaved ramp sets.
8. The radar sensor as recited in claim 3, wherein the radar sensor is part of a driver assistance system.
9. The radar sensor of claim 1, wherein the differences in ramp period and the time difference between consecutive frequency ramps of the multiple ramp sets are dynamically adapted according to a velocity of a host vehicle of the radar sensor.
10. A method for operating a radar sensor, comprising: transmitting a sequence of modulated rapid-chirp radar signals; receiving radar echoes of the transmitted modulated rapid-chirp radar signals which are reflected by an object; and detecting the received radar echoes at a predefined sampling frequency; wherein: the transmitted modulated rapid-chirp radar signals include a plurality of ramp sets; each of the plurality of ramp sets has a plurality of frequency ramps; each frequency ramp of a ramp set has a ramp period and a frequency deviation, and within each of the plurality of ramp sets, all of the frequency ramps of the ramp set have the same ramp period as one another and the same frequency deviation as one another; two consecutive frequency ramps have a time difference, and within each of the plurality of ramp sets, the time differences between consecutive frequency ramps of the ramp set are the same as one another; the plurality of ramp sets differ from one another in one of the ramp period and the time difference between consecutive frequency ramps, but not both the ramp period and the time difference between consecutive frequency ramps; and the predefined sampling frequency is varied for each ramp set.
11. The method as recited in claim 10, further comprising: calculating a separate spectrum of the detected radar echoes for each of the plurality of ramp sets; creating a periodic continuation of the calculated spectra in the dimension of at least one of the range and the velocity; and ascertaining a match of a detected object in the periodic continuations of the calculated spectra.
12. The method as recited in claim 11, wherein the creating of the periodic continuation includes extending the calculated spectra up to the least common multiple of all unambiguousness ranges of the ramp sets.
13. The method as recited in claim 11, wherein the ascertaining of a match includes forming a cost function and determining a minimum of the cost function for ascertaining the match.
14. The method of claim 10, wherein the differences in ramp period and the time difference between consecutive frequency ramps of the plurality of ramp sets are dynamically adapted according to a velocity of a host vehicle of the radar sensor.
15. A radar sensor for a motor vehicle, comprising: a transceiver unit configured to transmit a sequence of modulated rapid-chirp radar signals and to receive radar echoes of the transmitted rapid-chirp radar signals which are reflected by an object; and a sampling device configured to sample the received radar echoes at a sampling frequency; wherein: the transmitted rapid-chirp radar signals include multiple ramp sets; each of the multiple ramp sets has a plurality of frequency ramps; each frequency ramp of a ramp set has a ramp period and a frequency deviation, and, within each of the multiple ramp sets, all of the frequency ramps of the ramp set have the same ramp period as one another and the same frequency deviation as one another; two consecutive frequency ramps have a time difference, and within each of the multiple ramp sets, the time differences between consecutive frequency ramps of the ramp set are the same as one another; the transceiver unit transmits the multiple ramp sets, wherein the multiple ramp sets differ from one another in at least one of the ramp period and the time difference between consecutive frequency ramps; the difference in the at least one of ramp period and the time difference between consecutive frequency ramps of the multiple ramp sets is dynamically adapted according to a speed of the motor vehicle; and the sampling device varies the sampling frequency for each ramp set.
16. The radar sensor of claim 15, wherein the multiple ramp sets are transmitted in succession.
17. A method for operating a radar sensor, comprising: transmitting a sequence of modulated rapid-chirp radar signals; receiving radar echoes of the transmitted modulated rapid-chirp radar signals which are reflected by an object; and detecting the received radar echoes at a predefined sampling frequency; wherein: the transmitted modulated rapid-chirp radar signals include a plurality of ramp sets; each of the plurality of ramp sets has a plurality of frequency ramps; each frequency ramp of a ramp set has a ramp period and a frequency deviation, and, within each of the plurality of ramp sets, all of the frequency ramps of the ramp set have the same ramp period as one another and the same frequency deviation as one another; two consecutive frequency ramps have a time difference, and within each of the plurality of ramp sets, the time differences between consecutive frequency ramps of the ramp set are the same as one another; the plurality of ramp sets differ from one another in at least one of the ramp period and the time difference between consecutive frequency ramps; the difference in the at least one of the ramp period and the time difference between consecutive frequency ramps of the plurality of ramp sets is dynamically adapted according to a speed of the motor vehicle; and the predefined sampling frequency is varied for each ramp set.
18. The method of claim 17, wherein the ramp sets of the plurality of ramp sets are transmitted in succession.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1)
(2)
(3)
(4)
(5)
(6)
DETAILED DESCRIPTION OF THE INVENTION
(7)
(8) Radar system 1 includes a transceiver unit 10. This transceiver unit 10 transmits a sequence of modulated rapid-chirp radar signals. These transmitted rapid-chirp radar signals strike objects 21 and 22 which are situated at respective distances X1 and X2 from radar sensor 1. Objects 21 and 22 move relative to radar sensor 1 at velocities v1 and v2. In addition, it is also possible that the additional objects are situated in the detection range of radar sensor 1. Distances X1 and X2 and relative velocities v1 and v2 of the individual objects may be different. However, it is also possible that distances X1 and X2 and relative velocities v1 and v2 of some objects are completely or approximately equal.
(9) The modulated rapid-chirp radar signals transmitted by transceiver unit 10 strike objects 21 and 22 after some time. Objects 21 and 22 completely or partially reflect the striking rapid-chirp radar signals. Transceiver unit 10 of radar sensor 1 subsequently receives a portion of the rapid-chirp radar signals reflected by objects 21 and 22. The radar echoes received by transceiver unit 10 are then converted into digital signals in a sampling device 30 and compared to the transmitted rapid-chirp radar signals in an evaluation unit 20. From this comparison, radar sensor 1 then ascertains spatial distances X1 and X2 and relative velocities v1 and v2 of objects 21 and 22 in the detection range of the radar sensor.
(10)
(11) Maximum unambiguousness range X.sub.max and resolution ΔX are functions of sampling rate K as follows:
X.sub.max=K/2*ΔX;f.sub.x,max=K/2*Δf.sub.x (1)
(12) In addition, maximum resolvable relative velocity v.sub.max and resolution of relative velocity Δv are functions of the number of frequency ramps L in a ramp set as follows:
v.sub.max=L/2*Δv;f.sub.v,max=L/2*Δf.sub.v. (2)
(13)
(14) Multiple ramp sets are transmitted for extending the maximum unambiguousness range f.sub.X,max with respect to the range of the objects to be monitored, the ramp periods T.sub.fast,i of the frequency ramps of the different ramp sets differing. In other words, ramp period T.sub.fast,1 of frequency ramps R1 of the first ramp set is different from ramp period T.sub.fast,2 of frequency ramps R2 of the second ramp set. If more than two different ramp sets are transmitted, the subsequent ramp sets also have deviating ramp periods T.sub.fast,i. Furthermore, for the case that the maximum unambiguousness range of radar sensor 1 is to be extended, time interval T.sub.r2r,i between two consecutive fast frequency ramps is equal for all frequency ramps of the different ramp sets. Furthermore, all ramp sets have the same number L of frequency ramps R1, R2.
(15) The resulting actual range in the spatial frequency domain is:
f.sub.RC=n.sub.i.Math.f.sub.Xmax,i+r.sub.i, (3)
where
r.sub.i=q.sub.i.Math.Δf.sub.X,i (4)
n.sub.i and q.sub.i are integers and i is an integer between 1 and P, where P is the number of different frequency ramps. Thus, the unambiguousness range of the radar system for the range may be extended up to the least common multiple (LCM) of the unambiguousness ranges of all individual ramp sets:
f.sub.X,max=LCM(f.sub.X,max,1,f.sub.X,max,2, . . . ,f.sub.X,max,P) (5)
(16) When selecting the modulation parameters, it must therefore in particular be ensured that the resulting unambiguousness ranges of the individual ramp sets are not a multiple of each other.
(17) Alternatively, to increase the unambiguousness range with respect to the relative velocity of the objects to be monitored, time interval T.sub.r2r,i between two fast frequency ramps in the individual ramp sets may be varied. The remaining system parameters, such as frequency deviation F, ramp period T.sub.fast,i, and number L of the frequency ramps per ramp set remain the same for all ramp sets. Analogously to the increase of the unambiguousness in the range direction, the unambiguousness of relative velocity v.sub.max may thus also be increased correspondingly:
f.sub.v,max=LCM(f.sub.v,max,1,f.sub.v,max,2, . . . ,f.sub.v,max,P) (6)
(18) The system parameters of the frequency ramps and the ramp sets may be dynamically adapted according to instantaneous general conditions. For example, the system parameters in a radar system of a driver assistance system of a motor vehicle may be adapted in such a way that the unambiguousness range is relatively small during slow travel or a parking procedure. In contrast, if the velocity increases, the system parameters such as ramp period T.sub.fast,i and/or the time interval T.sub.r2r,i of the frequency ramps may be adapted per ramp set in order to increase the unambiguousness range. Depending on the use case, other dynamic adaptations are also possible.
(19) For the analog-digital conversion of the rapid-chirp radar signals and the received radar echoes, each of the signals must be digitized at a suitable sampling rate. The sampling rate of each of the frequency ramps must satisfy the Shannon sampling theorem and must therefore be sampled at least at twice the frequency of the frequency ramp.
(20) Furthermore, for the additional signal processing and in particular for the search method described below, it is advantageous if each frequency ramp has the same number of samples. In particular, it is advantageous to generate a number of samples for all sampled frequency ramps which is able to be further processed particularly efficiently using a fast Fourier transform (FFT).
(21) This means that an individual sampling frequency results for each ramp set. The individual sampling rates and thus also the system parameters for the frequency ramps of the individual ramp sets must be chosen in such a way that the extended maximum unambiguousness and the measuring accuracy meet the system requirements.
(22)
(23) After the analog-to-digital conversion of the signals, additional signal processing is carried out which includes a two-stage fast Fourier transform (FFT) for each ramp set. This signal processing provides a two-dimensional spectrum of the frequency range f.sub.x with respect to the range estimation over the frequency range f.sub.D with respect to the relative velocity estimation. Ambiguities in this obtained frequency spectrum may subsequently be resolved with the aid of a suitable search method.
(24)
(25) In the exemplary embodiment shown in
(26) In the example depicted here, the spectrum of the first ramp set is repeated T.sub.1 times, and the spectrum of the second ramp is repeated T.sub.2 times. Thus, the spectrum of the first ramp set is extended to T.sub.1.Math.f.sub.X,max,1 and the spectrum of the second ramp set is extended to T.sub.2.Math.f.sub.X,max,2. Additional exemplary embodiments having more than two ramp sets are also possible.
(27) The periodic repetitions of the individual spectra are then compared to each other and checked for matches of the peaks. In the illustrated example according to
(28) To resolve the ambiguities and to determine estimated values n.sub.i,est of factor n.sub.i according to Formula 3, a so-called cost function C is established and minimized, as described by Formula 7 for two different ramp sets. The determination of the best match is carried out via a search method which minimizes this cost function C.
min C(n.sub.1,est,n.sub.2,est)={|n.sub.1,estf.sub.X,max,1+r.sub.1,est−n.sub.2,estf.sub.X,max,1−r.sub.2,est|}.fwdarw.(n.sub.1,n.sub.2) (7)
(29) Such a search method for minimizing cost function C may, for example, try all variations of n.sub.1 and n.sub.2 and ascertain those values of n.sub.1 and n.sub.2 as an answer in which the cost function becomes minimal. T.sub.1.Math.T.sub.2 separate cost functions must be calculated.
(30) After the repetition n.sub.i with which the periodic continuation yields the best match has been ascertained for each ramp set 1−P, the final answer may, for example, be calculated using averaging.
(31) The search complexity may be further reduced using a suitable optimized search method. Such an improved search method carries out, for example, the following steps for minimizing cost function C.
(32) For all values 0 to T.sub.1−1 of first estimated value n.sub.1,est, function n.sub.2,est (n.sub.1,est) is formed and minimized: min C(n.sub.1,est, n.sub.2,est(n.sub.1,est)). In addition, for all values 0 to T.sub.2−1 of second estimated value n.sub.2,est, function n.sub.1,est(n.sub.2,est) is formed and minimized: min C(n.sub.1,est(n.sub.2,est), n.sub.2,est). Finally, the minimum of both functions is searched for:
min{min C(n.sub.1,est,n.sub.2,est(n.sub.1,est)),min C(n.sub.1,est(n.sub.2,est),n.sub.2,est)}. (8)
(33) Thus, the resulting complexity is only T.sub.1+T.sub.2 cost functions C to be solved.
(34) In this way, the unambiguousness range of the radar system may be extended at a maximum up to the least common multiple of the unambiguousness ranges of the individual ramp sets. The maximum estimation error in the ascertainment is upwardly limited by the sampling interval of the fast Fourier transform.
(35) The previously described search method with respect to range estimation may also be applied with respect to the estimation of the relative velocity.
(36) In most cases, two ramp sets having a different system parameter are sufficient for the expansion of the maximum unambiguousness into the desired dimension (range or relative velocity). In the case of only two different ramp sets, particularly rapid and resource-saving processing may be achieved. In addition, by using more than two ramp sets, the accuracy may be further improved and/or the unambiguousness range may be additionally extended.
(37) As already previously described, the unambiguousness range with respect to the range may be increased by multiple ramp sets having a variation in the ramp period T.sub.fast,i. In addition, by varying the time interval T.sub.r2r,i between two consecutive fast frequency ramps, the unambiguousness range with respect to the relative velocity may be increased. Thus, by using at least three consecutive ramp sets, the unambiguousness range with respect to the range and the relative velocity may be increased by, for example, the ramp period T.sub.fast,i being varied between a first and second ramp set, and the time interval T.sub.r2r,i between consecutive fast frequency ramps being varied between the second and third ramp sets. Alternative variations of the system parameters are of course also possible.
(38)
(39) Furthermore, in step 140, a separate spectrum f.sub.X,max,1, f.sub.X,max,2 of the detected radar echoes may be calculated for each of the plurality of ramp sets. Subsequently, step 150 creates a periodic continuation T.sub.1.Math.f.sub.X,max,1 and T.sub.2.Math.f.sub.X,max,2 of the calculated spectra f.sub.X,max,1 and f.sub.X,max,2 in the dimension of the range and/or the velocity. Then, in step 160, a match of a detected object is ascertained in the periodic continuations T.sub.1.Math.f.sub.X,max,1 and T.sub.2.Math.f.sub.X,max,2 of the calculated spectra f.sub.X,max,1 and f.sub.X,max,2.
(40) In step 150 for creating the periodic continuations T.sub.1.Math.f.sub.X,max,1 and T.sub.2.Math.f.sub.X,max,2, the calculated spectra f.sub.X,max,1 and f.sub.X,max,2 are extended up to the least common multiple of the unambiguousness ranges of the ramp sets.
(41) An efficient ascertainment of the match is possible by forming a previously described cost function.
(42) In summary, the present invention relates to a radar sensor and a method for operating a radar sensor, the unambiguousness range of the radar sensor being increased with respect to the range and/or the relative velocity. For this purpose, multiple ramp sets are transmitted by the radar sensor, the frequency ramps of the individual ramp sets each differing in one system parameter. In particular, the sampling frequency is adapted during the detection of the radar echoes in such a way that a constant number of samples always results for each frequency ramp. To evaluate the radar signals, the spectra may be continued periodically and compared to each other. A reliable determination of the range and the relative velocity is thus possible with a large unambiguousness range, in particular in combination with a suitable search method.