Method for solving crossing loss of signal processing based on interpolation and single-point DFT (Discrete Fourier Transform) filtering

Abstract

The invention provides a method for solving signal processing crossing loss based on interpolation and single-point DFT filtering, and the method comprises the steps: carrying out the target detection on an obtained distance-Doppler-energy spectrum, and obtaining the dimension indexes and energy of a target point and a Doppler adjacent point; interpolation processing is carried out, accurate Doppler coordinates are obtained according to an interpolation processing result, and a single-point DFT filtering twiddle factor is generated; and filtering the slow time data vector by using a twiddle factor to obtain distance-Doppler processing data of the target, and carrying out angle measurement to obtain target angle information. According to the method, the accurate Doppler frequency of the target is estimated through interpolation operation, the signal-to-noise ratio of the distance-Doppler two-dimensional FFT processing result is increased through single-point DFT filtering, the single-point DFT filtering twiddle factor is solved through the compensation factor in engineering, the calculation time is short, the accuracy is high, and the problem of radar signal crossing loss is effectively solved.

Description

technical field [0001] The invention belongs to the field of radar signal processing, and relates to a method for solving signal processing spanning loss, in particular to a method for solving signal processing spanning loss based on interpolation and single-point DFT filtering, which can be used for angular radar, forward radar and imaging radar and other radar signal processing technology fields. Background technique [0002] Millimeter-wave radar has all-weather, all-day working ability, can continuously detect targets in special environments such as rain, snow, fog and other severe weather and dark nights, and estimate the distance, radial velocity, and angle of the target. At present, the commonly used target detection method is to perform range-Doppler two-dimensional FFT processing on the echo data to obtain a range-Doppler-energy spectrum. Find the peak point on the spectrogram, and extract the data of multiple antenna channel distance-Doppler processing results at ...

AI Technical Summary

Problems solved by technology

[0003] Due to the limited frequency sampling points of the two-dimensional FFT, the range frequency and Doppler frequency of the target generally do not fall exactly at the frequency sampling points of the range-Doppler-energy spectrum, and the range-multiple antenna channels are directly extracted. The data at this position as a result of Puller processing is used as the target array data, which will lead to the loss of the signal-to-noise ratio of the array signal, that is, the spanning loss

Using the array signal to measure the target angle, the angle measurement accuracy will decrease

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