摘要
该文提出了一种新的在冲击噪声环境中基于阵列输出信号分数低阶矩的二维测向方法——稳健的协变异波达方向矩阵法。该方法利用冲击噪声和SαS过程的特点,扩展了原波达方向矩阵法的信号模型和应用环境,对冲击噪声有较好的抑制作用,增强了算法的通用性和稳健性,弥补了传统的基于二阶或高阶统计量的子空间测向算法不能应用于冲击噪声环境的不足,计算机仿真验证了该算法的可行性和有效性。
This paper presents a new fractional lower order moment-based 2-D direction finding method-robust covariation DOA matrix method in the presence of impulsive noise which can be modeled as a symmetric alpha-stable(SαS) process. The method extends signal models and application situation of original DOA matrix algorithm by exploiting the features of impulsive noise and SαS processes. The approach is robust against additive impulsive noise. It enhances universality and robustness of the algorithm, and remedies the shortcoming of the traditional subspace techniques employing both second-order and higher order moments, which cannot be applied in impulsive noise environments. The simulation results show the feasibility and effectiveness of the new algorithm.
出处
《电子与信息学报》
EI
CSCD
北大核心
2004年第3期350-356,共7页
Journal of Electronics & Information Technology
基金
部级基金资助课题
关键词
冲击噪声
二维DOA估计
分数低阶矩
协变异
SαS过程
原波达方向
DOA estimation, Fractional lower order moment, Covariation, Impulsive noise,Symmetric alpha stable (SαS) process