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Robust DOA estimation for coherent signals based on modified MUSIC algorithm

机译:基于改进MUSIC算法的相干信号稳健DOA估计

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摘要

Multiple Signal Classification (MUSIC) method is an important method of Direction of Arrival (DOA). Under the impulse noise environment, the performance of the conventional MUSIC method for coherent signals will degenerate seriously. Based on the characteristics of impulse noises and the fractional lower order statistics, two modified MUSIC algorithms of DOA estimation based on nonlinear preprocessing and spatial smoothing technology are proposed. Simulation results show that the novel algorithms both have excellent performance in Gaussian and impulse noise environments.
机译:多信号分类(MUSIC)方法是到达方向(DOA)的重要方法。在脉冲噪声环境下,传统MUSIC方法对相干信号的性能会严重下降。基于脉冲噪声的特征和分数阶低阶统计量,提出了两种基于非线性预处理和空间平滑技术的DOA估计的改进MUSIC算法。仿真结果表明,该算法在高斯和脉冲噪声环境下均具有良好的性能。

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