Vibration target detection and vibration parameters estimation based on the DPCA technique in dual-c

来源 :Science China(Information Sciences) | 被引量 : 0次 | 上传用户:xiaoguang0623
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This paper proposes a new method based on the displaced phase center antenna(DPCA) technique for the detection and parameters estimation of vibration target in dual-channel synthetic aperture radar(SAR).The echo model of vibration target is established in dual-channel SAR according to the equivalent phase center principle.By accumulating the DPCA signal amplitude in the azimuth direction,we realize the vibration target detection in clutter and noise background.Through the analysis of DPCA signal amplitude and phase characteristics of vibration target,we then convert the vibration parameters estimation to estimation of a signal with the form of absolute value of a sine function,and the converting conditions is also given.Accordingly,an algorithm combining the Fourier transform with least squares is proposed for estimation.The simulation results show that the algorithm can estimate each vibration parameter precisely at a low signal-to-noise ratio. This paper proposes a new method based on the displaced phase center antenna (DPCA) technique for the detection and parameters estimation of vibration target in dual-channel synthetic aperture radar (SAR). The echo model of vibration target is established in dual-channel SAR according to the equivalent phase center principle. By accumulating the DPCA signal amplitude in the azimuth direction, we realize the vibration target detection in clutter and noise background. Through the analysis of DPCA signal amplitude and phase characteristics of vibration target, we then convert the vibration parameters estimation to estimation of a signal with the form of absolute value of a sine function, and the conversion conditions is also given. Accreditedly, an algorithm combining the Fourier transform with least squares is proposed for estimation.The simulation results show that the algorithm can estimate each vibration parameter precisely at a low signal-to-noise ratio.
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