摘要
码间干扰是实现高速数据传输的主要限制因素,如何减小码间干扰始终是通信信号处理的研究方向之一。文章根据SIMO(Single Input Multiple Output)系统模型的互关系,利用输入信源和观测噪声的统计特性,给出了一种基于矩阵逆幂法的信道盲均衡算法。计算机仿真结果表明,该算法自适应递推性有效,并在低信噪比的情况下较传统的CR(Cross Relations)方法有更好的均衡效果。
ISI is a major factor in complicating the realization of high data rate communications. How to overcome ISI has always been a focus in communication signal processing. A new blind equalization algorithm based on inverse power method is proposed, the cross relation characteristic of SIMO model, the statistical properties of the source input signal and the observation noises are used. Computer simulation results show that this algorithm, as compared with traditional CR method, could achieve more adaptive and better equalization effectiveness under low SNR.
出处
《通信技术》
2009年第5期23-25,共3页
Communications Technology
