Near Field Sources Localization Based on Robust Propagator Method

Sen Li, B. Lin, Bing Li, Rongxi He
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引用次数: 1

Abstract

The problem of joint direction-of-arrival (DOA) and range estimation of near-field multiple sources under α- stable distributed impulsive noise environments is studied in this paper. The proposed algorithm constructs the MUSIC spectral spectrum based on the noise subspace which is obtained by applying the propagator method on the fractional lower order statistical matrix of the array received signal, and then estimates the multiple sources' DOA and range parameters by the spectral peak search. Compared with the corresponding algorithms based on second-order statistics, the proposed algorithm can effectively suppress the impulse noise by using the fractional lower-order statistics. At same time, the inherent large computational complexity of the eigenvalue decomposition based methods can also be avoided. Simulation experiments prove the effectiveness of the proposed algorithm.
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基于鲁棒传播器方法的近场源定位
研究了α稳定分布脉冲噪声环境下近场多信号源的联合到达方向和距离估计问题。该算法基于对阵列接收信号的分数阶统计矩阵应用传播子法得到的噪声子空间构建MUSIC频谱,然后通过谱峰搜索估计多个源的DOA和距离参数。与基于二阶统计量的相应算法相比,该算法利用分数阶低阶统计量能有效抑制脉冲噪声。同时,也避免了基于特征值分解的方法固有的较大的计算复杂度。仿真实验证明了该算法的有效性。
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