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A Novel Method to Extract Moving Targets in the Wide-Area Surveillance Airborne SAR/GMTI System

机译:一种提取广域监测空中SAR / GMTI系统的移动目标的新方法

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Since in the multichannel radar systems, each channel observes the same scene at the same time, if we compensate the phase differences caused by channel spacings along all channels and stack each of the channel data as one column vector of a new matrix, then this new matrix can be considered as the sum of three matrixes: low-rank matrix of the ground clutter, sparse matrix of the moving targets, and small entry-wise matrix of the noise component. Therefore, the newly proposed PCP method can be used to extract the information of moving targets from the radar echoes. Simulation results processed by our proposed algorithm are presented and compared with the processing results via a reduced-dimension space-time adaptive processing (STAP) method named "factored STAP". The comparison between the proposed approach and factored STAP shows the better performance in suppressing clutter in the nonhomogeneous environment.
机译:由于在多通道雷达系统中,每个通道同时观察相同的场景,如果我们补偿由所有通道的信道间距引起的相位差并将每个信道数据堆叠为新矩阵的一个列向量,那么这个新的矩阵可以被认为是三个矩阵的总和:地面杂波的低秩矩阵,移动目标的稀疏矩阵,以及噪声分量的小的入门矩阵。因此,新提出的PCP方法可用于从雷达回波中提取移动目标的信息。通过我们所提出的算法处理的仿真结果,并与通过减压时空自适应处理(STAP)方法命名为“因子STAP”的处理结果进行比较。所提出的方法和因子STAP之间的比较显示了抑制非均匀环境中杂波的更好性能。

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