A Parameter Estimation Method of Moving Target Based on Correlation Function

Abstract

The invention discloses a method for estimating parameters of a moving target based on a correlation function, which comprises the following steps: Step 1: reading in the original moving target echo data and related imaging parameters; Step 2: processing the azimuth Fourier transform; Three: Compensation by multiplying the azimuth with the CS factor; Step four: Fourier transform processing of the distance direction; Step five: Multiplying the distance direction with the distance compensation factor for distance compression processing; Step six: Inverse Fourier transform of the distance direction Processing; Step 7: Correlation function processing in the range-Doppler domain; Step 8: Inverse Fourier transform processing in the azimuth direction; Step 9: Filling zero in the frequency domain, and upsampling in the time domain to perform interpolation processing on the correlation processing results to obtain maximum value; Step ten: Estimate the target speed from the correlation processing maximum value. The invention proposes a method for estimating parameters of a moving target based on a correlation function, realizes estimating the target azimuth and radial velocity at the same time, improves the accuracy of current spaceborne SAR in estimating the moving target velocity, and proposes a new detection method.

Description

Technical field [0001] The present invention belongs to the field of signal processing, and particularly relates to a method for estimating moving target parameters based on correlation functions in the field of Synthetic Aperture Radar (SAR). Background technique [0002] SAR is a high-resolution imaging radar that can obtain large-area high-resolution radar images. At the same time, it is an active remote sensor that works in the microwave frequency band. It is not limited by geographical area. It can perform remote sensing imaging observation tasks on the ground all the time and all the time, and can penetrate natural vegetation, artificial camouflage, etc., compared with traditional optical images , Which significantly improves the radar's information capture capability. Therefore, SAR has been widely used. Ground and sea moving target detection technology is an important direction in the field of modern domestic and foreign radar tactical reconnaissance. As early as durin...

AI Technical Summary

Problems solved by technology

[0004] 1. The principle of moving target detection based on a single-channel system is to directly detect the characteristics of the echo signal of the moving target, but for a single-channel system, clutter suppression is difficult to achieve, and a large amount of clutter in the echo makes the moving target difficult to detect;

[0005] 2. The principle of moving target detection based on multi-channel system is to suppress clutter first, and then detect moving targets based on the signal after clutter suppression. The main processing methods include phase center offset technology DPCA, along-track interference ATI , space-time adaptive processing STAP, etc., but this detection method has the problems of blind speed and speed ambiguity, and the system is more complicated;

[0007] The image is defocused due to the azimuth velocity of the target, and the Doppler frequency shift is caused by the radial velocity, and when the target has a large velocity, the image is difficult to focus, which increases the difficulty of detection

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