Comprehensive moving target detection filter design method

Abstract

The invention discloses a comprehensive moving target detection filter design method. The filter design computation quantity can be effectively reduced. A thought comprises the steps of setting the number of moving target detection filters as N, namely processing N' impulses of a radar echo each time; for the former M filters and the latter M filters, employing a simplified finite impulses response FIR method, thereby obtaining output frequency responses corresponding to 2M FIR filters; for the middle N-2M filters, employing an MTI cascaded FFT filter design method, thereby obtaining the frequency responses of the N-2M MTI cascaded FFT filters; and obtaining a moving target detection filter group in a whole impulse repetition period, wherein the moving target detection filter group in the whole impulse repetition period comprises N filters, the former M filters and the latter M filters are the frequency response of the FIR filters, and the middle N-2M filters are the frequency responses of the N-2M MTI cascaded FFT filters.

Description

technical field [0001] The invention belongs to the technical field of radar detection, and in particular relates to a comprehensive design method for moving target detection filters, which is suitable for filter design with a large number of filters in the clutter suppression process. Background technique [0002] Clutter suppression is an important part of radar signal processing. Among the clutter suppression methods, moving target indication (MTI) and moving target detection (MTD) are commonly used methods. The difference is that the optimal filtering principle is used to effectively suppress clutter and extract effective signals; MTI uses quasi-optimal filtering processing, and MTD uses optimal filtering processing; compared with MTI canceller filters, MTD uses multiple bands The radar echo is processed and detected by a filter bank composed of pass filters, so when the clutter is strong and the target is weak, the MTD filter bank is often used for processing; the desig...

AI Technical Summary

Problems solved by technology

[0003] The filter obtained by the first method has no null near zero frequency, which cannot effectively suppress the ground clutter, which affects the detection performance. The second method can use MTI for filtering, which can suppress the ground clutter, but the The method is modulated by the number of FFTs and the frequency response of the MTI filter. At the same time, the MTI is a band-stop filter, and the number of pulse groups used is relatively small. At this time, the transition band is relatively wide, and there is a loss in the detection of targets near zero frequency. ; The third method uses the filter obtained by FIR to flexibly design the weight coefficients of the filter to produce a group of bandpass filters, so that there is a better zero trap around zero frequency, and at the same time, it has a better effect on low-speed moving targets. detection, but it is very computationally intensive

Images