Error correction method for multi-channel HRWS-SAR channel

Abstract

The invention discloses an error correction method for a multi-channel HRWS-SAR channel. The error correction method comprises the following steps of 1): performing distance pulse compression on original echo data received by each channel; 2) searching an isolated strong scattering point with the maximum power in the two-dimensional time domain of the echo signal; 3) performing sub-aperture segmentation on the data of each channel; 4) in the azimuth frequency domain, extracting strong scattering point signals in the sub-apertures; 5) splicing the strong scattering point signals in the sub-apertures; and 6) estimating an antenna array flow pattern by using the distance Doppler spectrum with the plurality of strong scattering points being not fuzzy, and completing channel error correction. The method aims at solving the problems that an existing channel error correction method depends on a parameter model, azimuth space-variant errors are difficult to correct accurately, and robustness is poor, isolated strong scattering point echo signals in an imaging scene are automatically extracted from fuzzy data through adoption of a sub-aperture signal processing technology, an unambiguous Doppler spectrum of the echo signals is obtained and used for estimating channel errors, and therefore, accurate correction of the errors is achieved.

Description

technical field [0001] The invention belongs to the technical field of channel error correction, in particular to an error correction method for multi-channel HRWS-SAR channels. Background technique [0002] Synthetic Aperture Radar (SAR) system can perform high-resolution imaging all day and all day, and plays an important role in both military and civilian fields. Among them, the multi-channel SAR system has made good progress in high-resolution wide-swath imaging (High-Resolution and Wide-Swath, HRWS), ground moving target indication (Ground Moving Target Indication, GMTI) and interference suppression. hotspots of domestic and foreign research. In a multi-channel HRWS-SAR system, the echo signals received by each channel are aliased in the azimuth frequency domain. In order to obtain ideal imaging results, Doppler deblurring becomes the key. Existing Doppler deambiguation algorithms such as adaptive beamforming require that the amplitude and phase responses of each cha...

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Problems solved by technology

[0004] Purpose of the invention: Aiming at the problem of overcoming the difficulty in correcting multi-channel HRWS-SAR azimuth space-variation errors existing in the prior art, provide a multi-channel HRWS-SAR channel The error correction method of the method does not need to build an error parameter model, and directly estimates the channel error

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