PRI agile radar target parameter estimation method based on capon algorithm

Abstract

The invention belongs to the technical field of radar signal processing, and particularly discloses a PRI agile radar target parameter estimation method based on a capon algorithm, and the method comprises the steps: enabling a PRI agile radar to transmit a signal and receives an echo signal; performing frequency mixing processing and pulse compression processing on the radar echo signal and the corresponding transmitting carrier frequency in sequence to obtain an echo signal after pulse compression; designing a filter corresponding to the capon algorithm, and enabling the carrier frequency component contained in the echo signal input into the filter after the pulse pressure to completely pass through the filter, wherein the average output power of the filter is the minimum, and the minimum average output power serves as capon power spectrum estimation of the echo signal; and determining distance and velocity information for each target. According to the method, the frequency characteristic sidelobe can be minimized by designing the filter, so that an accurate spectrum estimation result is obtained, target parameters can be accurately estimated under the condition of low signal-to-noise ratio, the operand is small, and the operation speed is high.

Description

Technical field [0001] The present invention relates to the field of radar signal processing, and more particularly to a Capon algorithm based PRI-based ratio of radar target parameter estimation method, which can be used in the field of electronic reconnaissance, confrontation, missiles. Background technique [0002] The transmit pulse repetition cycle of PRI-intended radar signals is rapidly changed within a certain range, and the weight can be changed according to certain regularities. It can also be randomly hopped, and the jitter range is usually 1% -10%; PRI Jielectric Radar has a series of advantages. : 1) Since the PRI of the radar is an important signal sorting identification parameter, PRI pRI will result in an increase in signal sorting and identification, effectively improve anti-fraud interference performance, with stronger low interception, 2) increase radar Detection distance, 3) Effectively inhibit the interference of waves and other distribution clutters, 4) Impr...

AI Technical Summary

Problems solved by technology

[0003] Due to the agility of the radar repetition frequency within a certain range, the sampling between different pulses on the same range unit has non-uniformity, and the traditional FFT technology cannot be directly used for coherent accumulation, which affects the high-resolution range image synthesis and Doppler information extraction of the target. The noise ratio is reduced and the reliability is not strong

There are several problems in the existing parameter estimation methods: 1) In multi-target scenarios, the side lobes interfere with each other and superimpose, which affects the performance of target motion parameter estimation; 2) The compressed sensing algorithm (CS) is used to sparsely reconstruct the echo signal , although it can effectively reduce sidelobes and has strong detection performance, but because it needs to build a perception matrix, increase complex operations, and is easily limited by sparsity, the accuracy of multi-target estimation is greatly reduced; 3) MUSIC algorithm is used for Spectrum estimation requires model-order prior knowledge, which obviously cannot meet the increasingly complex and changeable requirements of modern electronic warfare; 4) In a noisy environment, the target is easily submerged, and parameters cannot be accurately estimated

Images