Correlation function-based moving-target parameter estimation method

Abstract

The invention discloses a correlation function-based moving-target parameter estimation method. The method comprises steps of 1: reading in original moving target echo data and related imaging parameters; 2: performing Fourier transform processing for azimuth; 3: performing compensation by multiplying azimuth and CS factors; 4: performing Fourier transform processing for range distance; 5: multiplying the range distance and distance compensation factors so as to process distance compressing processing; 6: performing Fourier inversion processing for range distance; 7: performing correlation function processing for distance-Doppler domain; 8: performing Fourier inversion processing for azimuth; 9: performing zero filling for frequency domain, and adding sampling in time domain so as to perform interpolation processing or related processing results and get the maximum value; and 10: estimating target speed via the related maximum value. According to the invention, estimation of target azimuth and radial speed are simultaneously achieved, precision for estimation speed of moving targets of a current satellite born SAR is increased, and a novel detection method is provided.

Description

technical field [0001] The invention belongs to the field of signal processing, in particular to a method for estimating parameters of a moving target based on a correlation function 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 restricted by the region. It can implement the remote sensing imaging observation task of the earth all day and all day, and can penetrate natural vegetation, artificial camouflage, etc. Compared with traditional optical images , significantly improving 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 radar tactical reconnaissance at home and abroad. As early as during World War II, the Dopple...

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

Images