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Main Lobe Jamming Suppression Algorithm Based on Blocking Matrix Pre-processing and Covariance Matrix Reconstruction

机译:基于阻塞矩阵预处理和协方差矩阵重建的主叶干扰抑制算法

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摘要

Regarding the main-lobe jamming suppression algorithm of phased array radar, the paper analyzes various anti-jammingalgorithms based on blocking matrix pre-processing (BMP) according to the study of current anti-main lobe jammingtechnique in the space-time domain, including the weighting coefficient compensation, whitening, diagonal loading andlinear constraint combined with diagonal loading beam retention algorithms. Inspired by the covariance matrixreconstruction (CMR) algorithm of eigen-projection matrix preprocessing, the paper combines modified CMR and BMPalgorithm to suppress main lobe jamming. The modified CMR can not only be used when the dimension is lost causedby BMP, but also solve the distortion problems such as the main lobe peak offset in the adaptive beam forming synthesis.The biggest advantage of BMP combined with modified CMR algorithm is that its anti-jamming performance isexcellent and stable when the sampling snapshot contains the target signal. Meanwhile, the algorithm complexity and thesnapshot sensitivity are both in a low level. In the end, the verification results of the measured data also show thesuperiority of the proposed algorithm when the sampling snapshot contains the target signal.
机译:关于分阶段阵列雷达的主叶干扰抑制算法,纸张分析了各种抗干扰基于封锁矩阵预处理(BMP)的算法根据当前抗主叶干扰的研究技术在时空域中的技术,包括加权系数补偿,美白,对角线负载和线性约束与对角线加载波束保留算法组合。受协方差矩阵的启发特征投影矩阵预处理的重建(CMR)算法,该纸张组合了修改的CMR和BMP抑制主叶打干扰的算法。在损失尺寸损失时不仅可以使用修改的CMR通过BMP,但还解决了自适应光束形成合成中的主瓣峰值偏移的失真问题。BMP与改进的CMR算法相结合的最大优点是其抗干扰性能是当采样快照包含目标信号时,优异且稳定。同时,算法复杂性和快照灵敏度均在低电平。最后,测量数据的验证结果也显示了当采样快照包含目标信号时,所提出的算法的优越性。

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