Radar echo filtering method based on moving target detection

Abstract

The invention discloses a radar echo filtering method based on moving target detection, and mainly solves the problem that an existing filter bank is excessive in radar echo computation. The method comprises the following steps: 1) setting a filter bank, and calculating the weight vector of a filter; 2) multiplying and summing the radar echo and the weight vector of a certain filter, and storing the multiplying and summing results and intermediate values; 3) adding and summing the stored multiplying and summing results to obtain a filter output; 4) changing the positive or negative signs of parts of values in the intermediate values stored, adding and summing each group of intermediate values, and storing operation results; 5) adding and summing the stored operation results to obtain the filter output corresponding to the filter in the step 3); 6) processing the radar echo by the rest of filters sequentially, and outputting filter results. According to the radar echo filtering method provided by the invention, the using times of multiplication and addition in the radar echo filtering process can be reduced, the computation can be reduced, and the filter speed can be improved, therefore the radar echo filtering method can be used for radar target detection.

Description

technical field [0001] The invention belongs to the field of radar technology, in particular to a method for filtering radar echoes, which can be used for radar target detection. Background technique [0002] Adaptive clutter suppression is an important content in radar signal processing. Among adaptive clutter suppression methods, moving target detection (MTD) is a commonly used technique. MTD finds the target by filtering the radar echo with a filter bank composed of multiple band-pass filters, and then detecting the output of the filter bank. There are two main ways to realize MTD. One is to use the moving target to display the MTI filter cascaded with the fast Fourier transform FFT filter bank. The MTD filter realized in this way has shallow zero notch and wide notch, which affects For the detection of low-speed targets, the sidelobes of each filter in the filter bank are relatively high, and the order of FFT must be an integer power of 2, which limits the application ...

AI Technical Summary

Problems solved by technology

Because some target information exists between echoes of different groups, when the echoes are grouped, the echoes of different groups cannot be coherently superimposed, and truncation loss will occur, resulting in a decrease in the signal-to-noise ratio of the output result, which affects the accuracy of the target. detection

In order to reduce performance loss, sliding window processing is required when using MTD filter to filter radar echoes. Although this can effectively reduce truncation loss, the cost is that the amount of calculation will increase sharply, resulting in a decrease in filtering speed.

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