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An Efficient Coherent Integration Approach for Bistatic SAR Moving Target Detection and Parameter Estimation based on 2-D Deramp Processing

机译:基于2-D DARAMP处理的基础上SAR移动目标检测和参数估计的高效连贯积分方法

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For a non-cooperative ground moving target (GMT), its complex motion inevitably induces unknown range cell migration (RCM) and Doppler frequency migration (DFM) in Bistatic SAR (BiSAR) echo. Unfortunately, the existence of RCM and DFM often results in a deteriorative or even unacceptable performance on target detection and parameter estimation. In this paper, a novel coherent integration approach for BiS-AR GMT detection and parameter estimation based on two-dimensional (2-D) deramp processing is proposed. First, the deramp processing along the range frequency is exploited for GMT's unknown RCM correction. Then, the second deramp function along the slow time is constructed to reduce the order of azimuth phase and eliminate the effect of DFM. Finally, GMT's energy can be accumulated into a peak and Doppler parameter can be obtained via azimuth fast Fourier transform (FFT) and range inverse FFT. The proposed approach is computationally efficient, since it can be implemented only by complex multiplications and FFT. Simulations are given to verify the effectiveness of the proposed approach.
机译:对于非协同地面移动目标(GMT),其复杂运动不可避免地诱导BISTOG SAR(B Misar)回波中的未知范围细胞迁移(RCM)和多普勒频率迁移(DFM)。不幸的是,RCM和DFM的存在通常导致对目标检测和参数估计的劣化甚至不可接受的性能。本文提出了一种基于二维(2-D)脱发处理的BIS-AR GMT检测和参数估计的新型相干积分方法。首先,为GMT的未知RCM校正开发了沿着范围频率的透射杆处理。然后,构造沿慢速时间的第二防冻功能以减少方位角相位的顺序并消除DFM的效果。最后,GMT的能量可以累积到峰值中,并且可以通过方位快速傅里叶变换(FFT)和范围逆FFT获得多普勒参数。所提出的方法是计算效率的,因为它可以仅通过复杂的乘法和FFT来实现。给出了仿真验证了所提出的方法的有效性。

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