Bistatic synthetic aperture radar imaging method and device

Abstract

The invention discloses a bistatic synthetic aperture radar imaging method (BiSAR) imaging method. Echo data is subjected to range direction compression, data of range direction compression is determined, and the data of range direction compression serves as first to-be-decomposed data for first decomposition; following operation is repeatedly executed starting from n being 1, 1 is added to n every time till n reaches N, n to-be-decomposed data is subjected to upsampling processing, the upsampled data is subjected to n decomposition, the slant range dependence relationship between a reference point and a synthetic front sub-aperture and a synthetic rear sub-aperture is determined, data obtained after n decomposition is subjected to n azimuth direction synthetic processing according to the slant range dependence relationship, n azimuth direction synthetic data is obtained, and the n azimuth direction synthetic data serves as (n+1) to-be-decomposed data for (n+1) decomposition, wherein N is a positive integer larger than 1; N azimuth direction synthetic data is subjected to azimuth direction focusing through a back projection (BP) algorithm, and focusing images are obtained. The invention further discloses a BiSAR imaging device.

Description

technical field [0001] The present invention relates to a synthetic aperture radar (Synthetic Aperture Radar, SAR) technology, in particular to a bistatic synthetic aperture radar (Bistatic Synthetic Aperture Radar, BiSAR) imaging method and device. Background technique [0002] BiSAR is a SAR imaging system in which the receiver and transmitter are located on different working platforms, and there is a certain spatial baseline between the receiver system and the transmitter system. Due to the separation of transceivers, the BiSAR system has advantages that traditional single-base SAR does not have: firstly, the transceiver system is separated, and the configuration of "one send, multiple collection" can be realized at a lower hardware cost; secondly, the platform on which the transmitter and receiver are equipped Diversified to form different bi-base imaging systems, for example: take the on-orbit spaceborne SAR as the transmitting source, use the airborne platform to form ...

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Problems solved by technology

[0004] Focusing algorithms for BiSAR data include time-domain imaging algorithms and frequency-domain imaging algorithms. The time-domain imaging method is suitable for the above three BiSAR modes and has the best focusing quality; however, it is different from frequency-domain imaging algorithms such as distance Compared with the Range Doppler Algorithm (RDA) and the Nonlinear Chirp Scaling Algorithm (NLCSA), the time-domain imaging algorithm has high time complexity and the focusing process takes a long time; while the frequency-domain imaging algorithm cannot adapt to The above three BiSAR modes

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