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

机译:一种广域监视机载SAR / GMTI系统中移动目标提取的新方法

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摘要

Since in the multichannel radar systems, each channel observes the same scene at the same time, if werncompensate the phase differences caused by channel spacings along all channels and stack each of the channelrndata as one column vector of a new matrix, then this new matrix can be considered as the sum of three matrixes:rnlow-rank matrix of the ground clutter, sparse matrix of the moving targets, and small entry-wise matrix of thernnoise component. Therefore, the newly proposed PCP method can be used to extract the information of movingrntargets from the radar echoes. Simulation results processed by our proposed algorithm are presented andrncompared with the processing results via a reduced-dimension space-time adaptive processing (STAP) methodrnnamed “factored STAP”. The comparison between the proposed approach and factored STAP shows the betterrnperformance in suppressing clutter in the nonhomogeneous environment.
机译:由于在多通道雷达系统中,每个通道在同一时间观察同一场景,因此,如果我们补偿了所有通道上通道间距所引起的相位差,并将每个通道数据堆叠为新矩阵的一列向量,则该新矩阵可以被认为是三个矩阵的总和:地物的低秩矩阵,运动目标的稀疏矩阵和噪声成分的小的入口矩阵。因此,新提出的PCP方法可用于从雷达回波中提取目标的运动信息。提出了由我们提出的算法处理的仿真结果,并通过称为“分解式STAP”的降维时空自适应处理(STAP)方法与处理结果进行了比较。所提出的方法与因子STAP的比较表明,在非均匀环境中抑制杂波的性能更好。

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  • 会议地点 Nuremberg(DE)
  • 作者单位

    Spaceborne Microwave Remote Sensing System Department, Institute of Electronics, Chinese Academy of Sciences (IECAS);

    Spaceborne Microwave Remote Sensing System Department, Institute of Electronics, Chinese Academy of Sciences (IECAS);

    Spaceborne Microwave Remote Sensing System Department, Institute of Electronics, Chinese Academy of Sciences (IECAS);

    Spaceborne Microwave Remote Sensing System Department, Institute of Electronics, Chinese Academy of Sciences (IECAS);

    Spaceborne Microwave Remote Sensing System Department, Institute of Electronics, Chinese Academy of Sciences (IECAS);

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