MTD radar defuzzification and speed measurement method

Abstract

The invention belongs to the technical field of radars, and discloses an MTD radar defuzzification and speed measurement method. The method comprises the following steps that in a CPI, pulse group signals with different pulse repetition periods are sequentially transmitted by an MTD radar, echo signals corresponding to the pulse group signals are received, an echo data matrix corresponding to each pulse group signal is obtained, moving target detection is carried out on the echo data matrix compressed by all pulses in a DFT channel and an FIR channel respectively, a first Doppler frequency and a second Doppler frequency are obtained respectively, whether echo signals of a target are in a clutter area or a noise area is judged, the Doppler frequencies obtained by one of the channels are selected as the target Doppler frequency according to a judgment result, and the target speed is further determined. The method can improve the robustness of the system and the resource utilization rateof the radar, so that the signal-to-noise ratio of the target signal is improved, and the detection probability of the target signal and the success rate of speed ambiguity resolution are improved.

Description

technical field [0001] The present invention relates to the field of radar technology, in particular to a moving target detection (English full name: Moving Target Detection, English abbreviation: MTD) radar defuzzification velocity measurement method. Background technique [0002] MTD radar usually works with low pulse repetition frequency (English full name: Pulse Repetition Frequency, English abbreviation: PRF). When the moving speed of the target exceeds the maximum unambiguous speed of the radar, it will cause the moving speed of the target to overlap in the Doppler domain. , which is called speed ambiguity, so to obtain the moving speed of the target, it is necessary to solve the speed ambiguity. [0003] Most of the traditional speed fuzzy resolution algorithms use the Chinese Remainder Theorem (English full name: Chinese Remainder Theorem, English abbreviation: CRT) or similar algorithms to achieve fuzzy resolution on the basis of the variable pulse repetition period...

AI Technical Summary

Problems solved by technology

[0004] Existing methods need to first judge whether the echo signal of the target is in the noise area or the clutter area, and then switch to the discrete Fourier transform (English full name: Discrete Fourier Transform, English abbreviation: DFT) channel or finite-length unit impulse according to the judgment result. The stimulus response (English full name: Finite Impulse Response, English abbreviation: FIR) channel detects the moving target on the echo signal of the target. steady

In addition, the existing methods need to perform moving target detection on the DFT channel or FIR channel to detect the target signal, and then perform velocity defuzzification after the target signal is detected, while moving target detection on the DFT channel or FIR channel requires Radar pulse resources are split, that is, only pulse groups with different pulse repetition frequencies can be coherently accumulated, and the number of pulses that can be used for coherent accumulation will be reduced, and the utilization rate of radar resources is low. When the target signal-to-noise ratio When it is relatively low, the target may not be detected, and it is impossible to perform defuzzification and speed measurement in the subsequent process

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