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

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处理(Space and Time Adaptive Processing，STAP)改善接收性能的方法。该方法基于多级维纳滤波(Multistage Wiener Filter， MSWF)分解，在对输入信号空域和时域联合处理的同时，显著的降低了算法的实现复杂度，提高了处理的实时性。此外，本文还给出了一种对视距(Line-of-Sight, LOS)和多径散射环境均适用的 MSWF 级数选择方法，增强了计算资源使用的目的性。本文方法在实现上对输入信号的结构设计要求宽松，与多输入多输出的单载波频域均衡 (Multiple Input Multiple Output Signal Carrier Frequency Domain Equalization, MIMO-SC-FDE)相较，在谱效率和发射功率利用率上更有优势。 

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

To deal with the effects of multipath and interference on long distance wireless communication receiver, we give a method based on STAP to improve receiving performance. A MSWF decomposition is applied in this method, with the spatial and temporal information of received signals used together, which greatly decreases the method’s complexity and makes it more real-time. what’s more, we also give an easy way to determine the number of stages of MSWF-STAP in both LOS and multipath environment, which makes it consuming calculation resource accuately. Compared with MIMO-SCFDE, the method in this paper has a lower request on signal structure, but has advantages in spectrum efficiency and transmitting power saving.