Conventional real-time spectrum analyzers have a degree of technical complexity in the hardware which increases disproportionately as the analysis bandwidth increases for Fourier transformations of the measured sampling values. When using high analysis bandwidths, a detailed resolution is not needed of each analyzed individual frequency on the time plane at the same time; instead, detection of the presence of short pulses can be important as well. For this application, mixing sampling values on the time plane using a variable auxiliary frequency allows the sampling rate to be reduced, in that the bandwidth is maintained but a compression is carried out on the time plane. A very high time resolution which far exceeds the capabilities of conventional real-time spectrum analyzers can additionally be achieved overall for the analysis bandwidth, the time resolution then being computationally assignable to the individual frequencies for signal forms, in particular pulses, which occur in practice.

A method of measuring a movement, the method comprising the steps of: acquiring and digitizing both a first measurement voltage across the terminals of a first secondary winding and also a second measurement voltage across the terminals of a second secondary winding of an inductive movement sensor; multiplying the first measurement voltage by itself in order to obtain a first component of a crossed vector, multiplying the second measurement voltage by itself in order to obtain a second component of the crossed vector, and multiplying together the first measurement voltage and the second measurement voltage in order to obtain a third component of the crossed vector; applying the crossed vector as input to a lowpass filter in order to obtain a filtered vector, and estimating the movement from the components of the filtered vector.

A method of measuring a movement, the method comprising the steps of: acquiring and digitizing both a first measurement voltage across the terminals of a first secondary winding and also a second measurement voltage across the terminals of a second secondary winding of an inductive movement sensor; multiplying the first measurement voltage by itself in order to obtain a first component of a crossed vector, multiplying the second measurement voltage by itself in order to obtain a second component of the crossed vector, and multiplying together the first measurement voltage and the second measurement voltage in order to obtain a third component of the crossed vector; applying the crossed vector as input to a lowpass filter in order to obtain a filtered vector, and estimating the movement from the components of the filtered vector.

A multi-channel analog-digital converter (ADC) subsystem for test device such as a spectrum analyzer may include multiple multi-channel ADCs to receive down-converted signals and convert the received signals to digital output signals, a field programmable gate array (FPGA) to select one or more ADCs based on a frequency, a bandwidth, and/or a signal type of each received signal and a characteristic of each ADC, and an ADC sample clock to provide a clock signal to the selected ADCs. Characteristics of the ADCs may include a resolution, a signal-to-noise-and-distortion ratio (SINAD), an effective number of bits (ENOB), a signal-to-noise ratio (SNR), a total harmonic distortion (THD), a total harmonic distortion plus noise (THD+N), and/or a spurious free dynamic range (SFDR).

A multi-channel analog-digital converter (ADC) subsystem for test device such as a spectrum analyzer may include multiple multi-channel ADCs to receive down-converted signals and convert the received signals to digital output signals, a field programmable gate array (FPGA) to select one or more ADCs based on a frequency, a bandwidth, and/or a signal type of each received signal and a characteristic of each ADC, and an ADC sample clock to provide a clock signal to the selected ADCs. Characteristics of the ADCs may include a resolution, a signal-to-noise-and-distortion ratio (SINAD), an effective number of bits (ENOB), a signal-to-noise ratio (SNR), a total harmonic distortion (THD), a total harmonic distortion plus noise (THD+N), and/or a spurious free dynamic range (SFDR).

Apparatus and associated method for unambiguously evaluating high-bandwidth, rapidly changing analog range data in real time using low-cost components that allow detection of the signal of interest using a sampling rate that is lower than the Nyquist rate required to directly evaluate the full range data bandwidth.

Apparatus and associated method for unambiguously evaluating high-bandwidth, rapidly changing analog range data in real time using low-cost components that allow detection of the signal of interest using a sampling rate that is lower than the Nyquist rate required to directly evaluate the full range data bandwidth.

A spectrum analyzer having a memory function to adopt a digital-data-based frequency sweep scheme while achieving performance comparable to performance of a high-speed FFT spectrum analyzer, and a method of controlling the spectrum analyzer, in which the spectrum analyzer includes: an ADC for converting a BWP signal, which is at least one analog unit frequency band signal, into a digital data sample at a predetermined sample rate according to a span set by a user; a digital sweep part for sweeping the data sample passed through the ADC while digitally decimating the data sample through a decimation processing block having a two-stage cascaded structure, and processing the swept data sample to increase a frequency sweep speed; and a control unit for controlling the digital sweep part according to various items input, set, and selected by the user to perform spectrum analysis and output a spectrum analysis result.

A spectrum analyzer having a memory function to adopt a digital-data-based frequency sweep scheme while achieving performance comparable to performance of a high-speed FFT spectrum analyzer, and a method of controlling the spectrum analyzer, in which the spectrum analyzer includes: an ADC for converting a BWP signal, which is at least one analog unit frequency band signal, into a digital data sample at a predetermined sample rate according to a span set by a user; a digital sweep part for sweeping the data sample passed through the ADC while digitally decimating the data sample through a decimation processing block having a two-stage cascaded structure, and processing the swept data sample to increase a frequency sweep speed; and a control unit for controlling the digital sweep part according to various items input, set, and selected by the user to perform spectrum analysis and output a spectrum analysis result.

The present invention relates to a processing of digitally measured signals. When sampling a measurement signal with a predetermined sampling rate, aliasing effects may occur, if a Nyquist condition is violated. For this purpose, the present invention suggests to analyze a frequency spectrum of a signal and to compare the frequency components of the spectrum with the setting of a measurement apparatus, in particular a sampling rate of the measurement apparatus. If a measurement signal comprises frequency components which may violate the Nyquist condition, an alert may be generated to adapt the set of the measurement arrangement.