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基于循环自相关集平均的DS信号参数盲估计
引用本文:瞿福琪,胡以华.基于循环自相关集平均的DS信号参数盲估计[J].无线电工程,2009,39(3):22-23.
作者姓名:瞿福琪  胡以华
作者单位:解放军电子工程学院,安徽省电子制约技术重点试验室,安徽,合肥,230037
摘    要:在循环平稳理论基础上,以DS/BPSK信号为例,分析其循环自相关函数特征,提出一种基于循环自相关集平均的参数盲估计算法。该算法在非零循环频率上搜索特征谱线,从而在较低信噪比下完成对直扩信号载频和PN码速率的估计。通过算法仿真,证明该算法能够有效提高参数估计的信噪比容限。

关 键 词:直扩信号  循环自相关  集平均  参数估计

Parameter Blind Estimation of DS Signal Based on Cyclic Autocorrelation and Ensemble Average Method
QU Fu-qi,HU Yi-hua.Parameter Blind Estimation of DS Signal Based on Cyclic Autocorrelation and Ensemble Average Method[J].Radio Engineering of China,2009,39(3):22-23.
Authors:QU Fu-qi  HU Yi-hua
Affiliation:(Electronic Engineering Institute of PLA,Key Laboratory of Electronic Restricting Technique,Hefei Anhui 230037,China)
Abstract:This paper analyzes the characteristics of cyclic autocorrelation by taking the DS/BPSK signal as an example based on cyclic stationary theory,and provides a new parameter estimation algorithm based on cyclic autocorrelation and ensemble average method.This algorithm makes use of the position and magnitude of non-zero cyclic spectral peaks to estimate the key parameters in low SNR environment.The simulation results prove that this method can improve the SNR tolerance of parameter estimation.
Keywords:DS signals  cyclic autocorrelation  ensemble average method  parameter estimation
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