自适应LSL算法在扩频通信系统中的应用

Application of Adaptive LSL Algorithm in Spread Spectrum Communication System

扩频通信技术是当今主流的通信技术,具有隐蔽性好,抗衰落性能强和抗干扰能力强等特点。为进一步提高扩频通信系统的抗干扰能力,减少误码率,提高系统性能,在扩频系统的接收端采取一些适当的抑制干扰滤波器。由于信道和干扰信号是动态变化的,所以在干扰抑制技术中通常采用自适应滤波技术。讨论了基于前向预测误差和后向预测误差的最小二乘方格形算法,对LSL算法性能及在扩频通信系统的抗干扰方面的应用进行了分析研究,并与扩频通信系统自身的抗干扰性能进行了比较。LSL算法结合了LMS算法的高计算效率和RLS算法的快速收敛等优点,在自适应干扰抑制和自适应阵列信号处理等方面获得了广泛的应用。

Spread spectrum communication technology is a mainstream communication technology, which has the characteristics of hidden performance, anti - fading performance, and the strong capability of suppressing interference. In order to improve the capability of suppressing interference in spread spectrum communication system, it is necessary to add some filters to suppress interference. As the channel and interference signals are dynamic, adaptive filter technology is usually used in the field of suppressing interference technologies. This paper discussed LSL algorithm based on forward - prediction error and back - prediction error, analyzed and studied its performance and its application in the field of suppressing interference in spread spectrum communication system, and compared it with the performance of suppressing interference of spread spectrum communication system with no LSL filter. LSL algorithm combines the high computation efficiency of LMS algorithm and the merit of rapid convergence of RLS algo- rithm, so it is widely used in the field of adaptive interference suppressing and adaptive array signal processing.