Airborne CSSAR radar moving-target detection method

Abstract

The invention discloses an airborne CSSAR radar moving-target detection method. The main ideas of the airborne CSSAR radar moving-target detection method are that: establishing an airborne CSSAR radar signal module, and obtaining the instantaneous distance R(ta) from an SAR radar to a moving-target through calculation; acquiring an echo signal received by the CSSAR radar and demodulating the echo signal to a base-band, and obtaining a CSSAR radar echo signal s0 (tr,ta) of a two dimensional time domain; performing overlapping subblock dividing processing on the s0 (tr,ta), and dividing the s0 (tr,ta) into D subblocks; performing azimuth and range two dimensional Fourier transform respectively on the CSSAR radar echo signal, of the two dimensional time domain, respectively corresponding to the D subblocks, and obtaining the two dimensional frequency domain CSSAR radar echo signal S0 (fr,fa) corresponding to the D subblocks through calculation; performing related transform on the S0 (fr,fa), and obtaining the respective image contrast corresponding to the D subblocks through calculation; and drawing the respective image contrast curve corresponding to the D subblocks, and then obtaining the respective image contrast peak value corresponding to the D subblocks and establishing a moving-target detection rule so as to identify the respective moving-target contained in D subblocks.

Description

technical field [0001] The present invention relates to the technical field of radar signal processing, in particular to a method for detecting an airborne CSSAR radar moving target, that is, a method for detecting an airborne circular track strip SAR radar moving target, which is suitable for completing radar moving target detection under a single channel , and can complete radar moving target detection in uniform clutter background and non-uniform clutter environment respectively. Background technique [0002] Synthetic aperture radar (SAR) has the characteristics of all-weather, all-time and long-distance imaging, which can effectively improve the radar's information acquisition ability, and can be used in civil fields such as land monitoring, farmland mapping, ocean observation, sea ice monitoring and ground deformation observation. , as well as battlefield reconnaissance, military movement monitoring and other military fields have important applications. Usually moving...

AI Technical Summary

Problems solved by technology

[0003] So far, scholars have proposed many ground moving target detection methods, including single-channel system and multi-channel system, but the traditional airborne linear strip SAR radar needs a long synthetic aperture time, which limits the application in monitoring and detection; The single-channel linear strip SAR radar moving target detection is based on Doppler filtering, and the moving target is detected by the background clutter and the moving target Doppler difference; the multi-channel method usually uses the offset phase center antenna (DPCA), along the track Interferometer (ATI), space-time adaptive processing (STAP) to suppress clutter and detect moving targets

In addition, the predecessors also proposed self-focusing algorithms, such as the image offset (MD) algorithm, but they all assumed that the phase error produced by the moving target was caused by the velocity and radial acceleration of the moving target, while ignoring the radial acceleration of the moving target. Velocity caused by residual distance migration, and this assumption becomes invalid when the radial velocity of the moving target is large

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