对称α稳定分布噪声环境下短波衰落信号时延估计的新算法  

New Time Delay Estimation Algorithm of HF Fading Signal in Symmetric α-Stable Distribution Noise Environments

作　　者：马金全[1] 葛临东[1] 童莉[1] 

机构地区：[1]信息工程大学

出　　处：《信号处理》2014年第5期526-534,共9页Journal of Signal Processing

摘　　要：脉冲噪声环境下信号时延估计是信号处理领域十分活跃的研究方向。在对称α稳定分布噪声环境下,文章提出了一种基于非线性压缩核函数(NCCF)的短波衰落信号的时延估计算法。该算法采用非线性压缩核函数抑制了对称α稳定分布噪声的脉冲拖尾,同时较好保持了目标信号之间的互相关特性,从而保证了信号时延估计的准确性。同以往算法相比,本算法不仅降低了计算复杂度,而且对于衰落信号的时延估计具有更强的稳定性。理论证明和仿真结果均表明,该算法比GCC、FLOC、GCF和非线性变换等算法具有更好的时延估计有效性和准确度。Time delay estimation （TDE） in impulse noise environments is one of the most active subjects in the signal processing field. In the symmetric a-stable distribution noise environments, a new time delay estimation algorithm for HF fading signal based on a nonlinear compress core function （NCCF） is provided. The NCC function is able to not only sup- press the pulse stretching of the a-stable distribution noise, but also preserve the cross correlation between the object sig- nals. As a result, it confirms the good performance of the signal time delay estimation algorithm. Comparing with the classi- cal time delay estimation methods, this new method has the advantages in reducing the computational complexity as well as improving the stability of the estimator. Theoretical proof is also provided in this paper to illuminate the features of the algo- rithm. Simulation results shows that the new algorithm has better accuracy and validity than the GCC, FLOC, GCF and the nonlinear transformation algorithms.

关 键 词：时延估计 Α稳定分布 非高斯信号处理 瑞利衰落 非线性压缩核函数 

分 类 号：TN911.23[电子电信—通信与信息系统]