A Fast Coherent Accumulation Detection Method for Radar Maneuvering Targets Across Ranges and Doppler Cells

Abstract

The invention relates to a method for fast coherent accumulation and detection of radar maneuvering targets across distances and Doppler units, belonging to the technical field of radar signal processing and detection. First, the slow-time dimension data after the radar pulse pressure is subjected to time-reversal operation to eliminate the odd-order term of the phase, and the second-order phase parameter is estimated by using the second-order matched Fourier transform; secondly, the fast-time-dimensional Fourier transform, the second-order phase Compensation; then, the slow-time dimension phase difference reduction operation is performed, and the second-order Keystone transform is performed; finally, the distance-frequency dimension inverse Fourier transform, slow-time Fourier transform, complete cross-unit coherent accumulation, and construct detection statistics, Perform maneuvering target detection. The invention can realize the energy coherent accumulation of the maneuvering target across the distance unit and the Doppler unit, and the accumulation gain is high; at the same time, it is also a non-parametric search method with high computing efficiency and is suitable for engineering applications; and the movement of the target can be estimated through the peak value. parameters, which can improve the detection and estimation capabilities of radar maneuvering targets.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing and detection, and more particularly, the invention relates to a method for fast coherent accumulation and detection of radar maneuvering targets across distances and Doppler units, which can be used for fast radar detection and estimation of maneuvering targets. Background technique [0002] Robust and effective radar moving target detection has always been a difficult problem in the field of radar signal processing. It is of great significance to study the signal processing methods to improve the radar's ability to detect weak moving targets. In recent years, with the development of target equipment, high-speed and high-mobility targets emerge one after another, posing a great threat to radar and increasing the difficulty of radar detection of targets, such as hypersonic aircraft, high-mobility missiles, fighter jets, unmanned aerial vehicles, sea surface speedboats, etc. . Sinc...

AI Technical Summary

Problems solved by technology

At the same time, high maneuvering targets are also prone to cross-range and Doppler unit walking problems, which makes the target energy dispersed in the time domain and frequency domain, reducing the coherent accumulation gain

[0003] At present, the main technical approaches in this field are as follows: First, the distance walking compensation method based on Keystone transformation, which performs scale transformation on the original coordinate axis through interpolation, thereby effectively correcting the distance migration, which can only compensate for the first-order distance walking, That is, cross-unit walking caused by uniform motion, and Doppler walking cannot be compensated; the second is the path search matching accumulation method, such as Radon-Fourier transform and Radon-fractional Fourier transform, determined by pre-setting the motion parameters Motion trajectory, on which coherent accumulation of signals can compensate for distance and Doppler movement at the same time, but this method requires high-dimensional parameter search. For high-order maneuvering targets, there are many parameters to be searched, and the calculation amount is very large

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