摘要
针对信道盲辨识的闭式解存在估计精度低,方差大的缺点,以及源信号无法完全恢复的问题,提出了一种基于调制引入循环平稳性的信道盲辨识与均衡的新方法。通过对循环功率谱进行适当的变量代换得到功率谱-传输函数方程,再将其反变换到时域得到求解FIR信道的方程组解法。仿真结果表明,提出的信道盲辨识算法的性能优于信道盲辨识的闭式解,而且源信号也可以完全得到恢复。
A new blind channel identification and equalization method based on the modulation induced cyclostationarity is proposed. The existing closed-form solution for blind channel identification always has the defects of low estimation accuracy and great variance, and the source signals can not be recovered entirely too. The cyclic power spectrum equation is obtained by means of proper variable substitution of the eyelic power spectrum, then a time domain solution is obtained by Z inverse transformation of the cyclic power spectrum equation. Simulation results show that the performance of the proposed method outperforms that of the closedform solution, and the source signals can be recovered absolutely.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第3期511-514,共4页
Systems Engineering and Electronics
基金
国家自然科学基金资助课题(60775013)
关键词
信道盲辨识
信道均衡
循环平稳性
循环维纳滤波器
blind channel identification
channel equalization
cyelostationarity
cyclic Wiener equalizer