基于压缩感知的直扩通信扫频干扰抑制方法

Method for direct sequence spread spectrum communications sweep frequency interference suppression based on compressive sensing

针对现有直扩通信扫频干扰抑制算法应用受限于采样频率过高的问题,将压缩感知技术应用于直扩通信扫频干扰抑制。在分别构建直扩信号和扫频干扰稀疏字典的基础上,利用正交匹配追踪算法,设计压缩域直扩通信扫频干扰抑制算法。分析算法理论基础,通过计算机仿真对算法的性能进行验证。仿真结果表明,该算法可以有效实现直扩通信扫频干扰抑制,干扰抑制效果不随干扰强度和干扰数量变化而变化,降低了直扩系统对后端处理器件的要求,为压缩感知技术在直扩信号处理中的实际应用提供了一种有效方法。

The existing sweeping frequency interference suppression algorithms for direct sequence spread spectrum（DSSS）communications are confined to the high sampling rate.To solve the problem,compressive sensing（CS）technology was applied to suppress the sweep frequency interference in DSSS system.The DSSS signal sparse dictionary and sweep frequency interference sparse dictionary were built.The algorithm used to suppress interference in compressed domain was designed using the orthogonal matching pursuit（OMP）algorithm.The theoretical basis of the algorithm was analyzed.The effectiveness of the algorithm was validated by computer simulation.The simulation results show that the algorithm can suppress the sweep frequency interference effectively.Interference suppression effects remain the same when the interference intensity and interference signal numbers change.The algorithm not only reduces the requirements of the DSSS system back-end processor,but also provides an effective method for the practical application of CS in DSSS signal processing.