脉冲噪声环境中韧性的子空间频率估计算法  

Robust subspace-based frequency estimation of sinusoidal signal in impulsive noise

作　　者：李森[1,2] 邱天爽[2] 陈晓楠[1] 

机构地区：[1]大连海事大学信息科学技术学院,辽宁大连116026 [2]大连理工大学电子与信息工程学院,辽宁大连116024

出　　处：《大连海事大学学报》2010年第1期107-110,共4页Journal of Dalian Maritime University

基　　金：国家自然科学基金资助项目(60872122;30570475);教育部博士点基金资助项目(20050141025)

摘　　要：为提高脉冲噪声环境中基于子空间的正弦信号频率估计算法的性能,以α稳定分布过程为脉冲噪声模型,利用m-估计方法得到接收信号尺度的鲁棒估计.构建鲁棒的接收信号协方差矩阵,并利用子空间方法得到正弦信号频率的估计.计算机仿真结果表明:该方法在强脉冲和低信噪比环境中的性能显著优于基于分数低阶统计量的子空间频率估计方法.To improve the performance in the frequency estimation algorithm of sinusoidal signal based on subspace method in impulsive noise,the robust scale estimator was obtained based on the m-estimation under the α stable distribution as the impulsive noise model.The robust covariance matrix of the received signal was gotten,and the frequency estimation of sinusoidal signal was realized by using the subspace method.Computer simulations indicate that the proposed algorithm is superior to the algorithm based on the fractional lower order statistic,especially when the noise exhibits a strong impulsive attitude and the signal noise ratio is lower.

关 键 词：脉冲噪声 Α稳定分布 m-估计方法 子空间 分数低阶矩(FLOS) 频率估算 

分 类 号：TN911.7[电子电信—通信与信息系统]