A Novel DOA Estimation Method for Coherently Distributed Sources Based on Correntropy in the Impulsive Noise
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摘要: 针对复杂电磁环境下被动无线监测定位问题，该文提出广义相关熵的概念，推导了广义相关熵的性质，用以抑制阵列输出信号中的脉冲噪声。为了实现脉冲噪声环境下相干分布源中心DOA和扩散角的联合估计，提出基于广义相关熵的DOA估计新方法，并证明了该方法的有界性。为进一步提升算法的鲁棒性，推导了一种仅依赖阵列输出信号的自适应核函数。仿真结果表明，该算法能够实现脉冲噪声环境下相干分布源参数的联合估计，相比已有算法，具有更高的估计精度和鲁棒性。Abstract: To solve the problem of passive wireless monitoring and positioning in complex electromagnetic environments, a generalized auto-correntropy for suppressing the impulsive noise in the array output signals is proposed and its properties are derived. To obtain the estimates of both central Direction Of Arrival (DOA) and angular spread for coherently distributed sources in the impulsive noise, a novel DOA estimation method based on the generalized auto-correntropy is proposed, and its boundedness is proved. To improve the robustness of the proposed algorithm, a new adaptive kernel function, which only depends on the array output signals, is also derived. The simulation results show that the proposed algorithm can obtain the joint estimation for coherently distributed sources under impulsive noise environments, and has higher estimation accuracy and robustness than existing algorithms.
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