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。
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.
出处
《无线电工程》
2009年第3期22-23,55,共3页
Radio Engineering
关键词
直扩信号
循环自相关
集平均
参数估计
DS signals
cyclic autocorrelation
ensemble average method
parameter estimation
