摘要
Teager-Kaiser能量算子作为一种非线性滤波器可以有效提取特征,提高受噪声影响的信号识别。研究了Teager-Kaiser能量算子在信道估计多径搜索中的应用,该方法不要求对信道参数空间的先验知识。分析了Teager-Kaiser能量算子对经典Steiner信道估计器进行处理的特性,计算机仿真结果表明它可以在抑制噪声的同时,有效区分密集分布的多径。
Teager-Kaiser operator as an energy nonlinear filter has been shown to efficiently extract features to enhance noisy signal recognition. This paper studies its application on multipath searching without a priori knowledge of channel parameter space. The characteristics of TK operation on the classical Steiner channel estimation are analyzed and simulation results show its capability of separating closely spaced multi-paths while reducing noise.
出处
《重庆邮电大学学报(自然科学版)》
2008年第1期30-32,共3页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
国家高技术研发发展计划"863"课题项目(2004AA123150)