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FrFT-CSWSF: Estimating cross-range velocities of ground moving targets using multistatic synthetic aperture radar
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作者 Li Chenlei Liu Mei +1 位作者 Zhao Bowen Zhang Lei 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2014年第5期1223-1232,共10页
Estimating cross-range velocity is a challenging task for space-borne synthetic aperture radar(SAR), which is important for ground moving target indication(GMTI). Because the velocity of a target is very small com... Estimating cross-range velocity is a challenging task for space-borne synthetic aperture radar(SAR), which is important for ground moving target indication(GMTI). Because the velocity of a target is very small compared with that of the satellite, it is difficult to correctly estimate it using a conventional monostatic platform algorithm. To overcome this problem, a novel method employing multistatic SAR is presented in this letter. The proposed hybrid method, which is based on an extended space-time model(ESTIM) of the azimuth signal, has two steps: first, a set of finite impulse response(FIR) filter banks based on a fractional Fourier transform(FrFT) is used to separate multiple targets within a range gate; second, a cross-correlation spectrum weighted subspace fitting(CSWSF) algorithm is applied to each of the separated signals in order to estimate their respective parameters. As verified through computer simulation with the constellations of Cartwheel, Pendulum and Helix, this proposed time-frequency-subspace method effectively improves the estimation precision of the cross-range velocities of multiple targets. 展开更多
关键词 Filter banks Fractional Fourier transform Ground moving target indication Parameter estimation Subspace methods Synthetic aperture radar
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