广义复相关熵与相干分布式非圆信号DOA估计

Generalized Complex Correntropy And DOA Estimation for Coherently Distributed Noncircular Sources

  • 摘要: 针对相干分布式非圆信号参数估计算法在脉冲噪声环境下性能退化的问题,本文提出了广义复相关熵的概念,并给出了基于广义复相关熵的相干分布式非圆信号DOA(Direction of Arrival)估计方法。该算法首先由分布式信源模型获得入射信号的阵列输出信号,利用信号的非圆特性得到扩展阵列输出信号,再通过扩展阵列输出信号的广义复相关熵矩阵获取信号子空间,避开了传统二阶统计量算法在脉冲噪声下不适应的问题,最后由信号子空间旋转不变特性得到信号的中心波达方向角度。仿真实验结果表明,在Alpha稳定分布噪声条件下,与传统算法相比,本文所提算法具有更好的性能。

     

    Abstract: To solve the problem of performance degradation of parameter estimation algorithms for coherently distributed non-circular sources under the impulsive noise environment, this paper proposes the concept of generalized complex correntropy and a new DOA estimation method based on generalized complex correntropy for coherently distributed non-circular sources. Firstly, the algorithm obtains an array output matrix of incident signal through the distributed source model, and constructs the extended array output by using the non-circular characteristic of the signal. Then the generalized complex correntropy matrix of the extended array output is used to get the signal subspace, which avoids the degradation problem of the traditional second-order statistic algorithm in the impulsive noise environment. And finally the central direction of arrival of the signal is obtained by the rotation of the signal subspace. The simulation results show that the proposed algorithm has better performance than the traditional algorithm under the condition of Alpha stable distributed noise.

     

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