Radar echo signal normalized window filtration method

Abstract

The invention discloses a radar echo signal normalized window filtration method which comprises the following steps of: acquiring a radar echo original signal and performing normalized window Stockwell transformation and spectrum transformation; acquiring a radar echo signal with a high-frequency clutter and a low-frequency clutter, performing normalized window Stockwell transformation, and analyzing and determining a time-frequency filtration operator according to a two-dimensional time frequency; filtering the high-frequency clutter from the radar echo signal with the high-frequency clutter and the low-frequency clutter through a time-frequency filter, and performing TT transformation; filtering the high-frequency clutter according to the designed time-frequency filter, and performing TT transformation; extracting elements, namely the suppressible low-frequency clutter, near the diagonal line; and performing TT inversion transformation, and thus obtaining the filtered radar echo signal. The radar echo signal normalized window filtration method has the advantages of effectively filtering the clutters and keeping good characteristics of the original signal with small calculation amount, simplicity in implementation and the like.

Description

technical field [0001] The invention relates to a radar echo signal normalization window filtering method. Background technique [0002] Radar echo signals are often seriously polluted due to internal noise, clutter, and electromagnetic interference. In order to improve the ability of radar to detect weak signals, it is very important to denoise the echo signal. The traditional denoising method takes the stationarity of the signal as the premise, and mostly uses windowing or masking operations in the time domain or frequency domain, and only gives statistical average results from the time domain or frequency domain. Remove noise. However, since the echo signal of contemporary radar is usually a non-stationary signal with a relatively large bandwidth, and there is a relatively strong time-frequency coupling between the effective signal and the noise, it is difficult to achieve effective signal-to-noise separation by classical filtering methods. Time-frequency analysis is a...

AI Technical Summary

Problems solved by technology

[0003] The present invention is to avoid the deficiencies in the above-mentioned prior art, and provides a radar echo signal normalization window filtering method to solve the problem that the radar echo signal is often affected by clutter and noise and the commonly used filtering and denoising methods. The problem that the method is restricted by the conditions of use

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