| 摘要: |
| 脉冲噪声环境下波达方向（DOA）估计是阵列信号处理领域一个新兴研究方向。针对α稳定分布噪声环境下经典MUSIC算法性能退化的问题，提出了一种新的基于非线性压缩核函数（NCCF）的DOA估计算法。该算法利用基于NCCF的有界矩阵代替了MUSIC的协方差矩阵，通过对有界矩阵进行特征分解确定信号子空间和噪声子空间，借用MUSIC谱估计公式进行谱峰搜索，得到DOA的估计值。仿真结果表明，NCCF-MUSIC算法运算复杂度较低，相比于基于分数低阶统计量（FLOS）的MUSIC方法和基于广义类相关熵（GCAS）的MUSIC算法，该方法具有更好的准确度和稳定性。 |
| 关键词: 波达方向估计 α稳定分布 非线性压缩核函数 MUSIC 算法 非高斯信号处理 |
| DOI： |
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| 基金项目:河南省基础与前沿计划项目(132300410049) |
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| A new DOA algorithm based on nonlinear compress core function in symmetric α-stable distribution noise environment |
| MA Jin-quan,GE Lin-dong,TONG Li |
| () |
| Abstract: |
| Direction of arrival (DOA) estimation in the impulse noise environment is a new research direction in the array signal processing field. To solve the problem of performance degradation when applying classic MUSIC algorithm for DOA estimation in the α-stable distribution noise environment,a novel DOA estimation algorithm based on a nonlinear compress core function(NCCF) is provided and named as the NCCF-MUSIC. To obtain a DOA estimation,the NCCF-MUSIC method replaces the covariance matrix in MUSIC by a bounded matrix based on the NCCF,and then determines the signal subspace and the noise subspace by feature decomposition,and finally,introduces the MUSIC spectrum estimation algorithm to make a spectral peak searching. Simulation results show that the new NCCF-MUSIC method with a lower computation cost has the higher performance in accuracy and validity than the MUSIC methods based on fractional lower order statistics (FLOS) or based on generalized correntropy-analogous statistics (GCAS). |
| Key words: DOA α-stable distribution nonlinear compress core function MUSIC algorithm non-Gauss signal processing |
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