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A Distributed MIMO Radar Signals Separation Algorithm Based on Under-determined Blind Source Separation

机译:基于欠定盲源分离的分布式MIMO雷达信号分离算法

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The distributed multiple-input-multiple-output (MIMO) radar owns great advantages in target detection and high-resolution parameter estimation. In order to solve the reconnaissance problems better, this paper proposes a novel under-determined blind source separation algorithm based on single source points detection to separate the mixed MIMO radar signals. First, the receiver model of the distributed MIMO radar signals is built. Then, a new mixing matrix estimation algorithm based on single source points detection is proposed. Finally, the MIMO source signals are separated by utilizing the source signals recovery algorithm based on the subspace projection. The simulation results prove that the proposed algorithm can solve the problem of separating the distributed multiple-input-multiple-output radar signals and get good separation performance.
机译:分布式多输入多输出(MIMO)雷达在目标检测和高分辨率参数估计方面具有很大的优势。为了更好地解决侦察问题,本文提出了一种新的基于单源点检测的欠定盲源分离算法,以分离混合的MIMO雷达信号。首先,建立了分布式MIMO雷达信号的接收器模型。然后,提出了一种基于单源点检测的混合矩阵估计新算法。最后,通过利用基于子空间投影的源信号恢复算法来分离MIMO源信号。仿真结果表明,所提算法可以解决分布式多输入多输出雷达信号分离问题,并具有良好的分离性能。

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