基于多级维纳滤波器的空时自适应信号处理及其在无线通信系统中的应用

Multistage Wiener Filter Based Space and Time Adaptive Signal Processing and Its Application in Wireless Communication Systems

针对远距离无线通信接收机处的多径效应与干扰信号影响,本文提出一种基于空时自适应信号方法。该方法基于多级维纳滤波分解,对输入信号在空域和时域内联合处理,可以在有效改善接收误码率性能的同时抑制干扰信号的影响。此外,该方法还具有低复杂度的特点,提高了处理的实时性。本文还给出了一种对视距和多径散射环境均适用的多级维纳滤波级数选择方法,增强了计算资源使用的准确性。本文方法在实现上对输入信号的结构设计要求宽松,与已有空时自适应处理方法相较,在复杂度、谱效率和发射功率利用率上更有优势。

To deal with the effects of multipath and interference on long distance wireless communication receiver,we give a space and time adaptive processing（ STAP） method. This method based on multistage wiener filter（ MSWF） decomposition,processes received signals in spatial and temporal domain together,then it can effectively improve receiving bit error rate performance and suspend interference effort. Besides,the method has a good feature of low complexity,which makes the processing much real-time. What’s more,we also give an easy way to determine the number of stages of MSWF-STAP in both Line-of-Sight and multipath environment,which makes it consuming calculation resource accuately. Compared with know STAP algorithms,the method in this paper has a lower request on signal structure,but has advantages in complexity,spectrum efficiency and transmitting power saving.