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Joint Interference Detection Method for DSSS Communications Based on the OMP Algorithm and CA-CFAR

机译:基于OMP算法和CA-CFAR的DSSS通信联合干扰检测方法

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摘要

The existing direct sequence spread spectrum (DSSS) communications interference detection algorithms are confined to the high sampling rate. In order to solve this problem, algorithm for DSSS communications interference detection was designed based on compressive sensing (CS). First of all, the orthogonal matching pursuit (OMP) algorithm was applied to the interference detection in DSSS communications, the advantages and weaknesses of the algorithm were analyzed; Secondly, according to the weaknesses of the OMP algorithm, a joint interference detection method based on the OMP algorithm and cell average constant false alarm rate (CA-CFAR) was proposed. The theoretical analyze and computer simulation all proved the effectiveness of the new algorithm. The simulation results show that the new method not only could achieve the interference detection, but also could estimate the interference quantity effectively.
机译:现有的直接序列扩频(DSSS)通信干扰检测算法仅限于高采样率。为了解决这个问题,设计了基于压缩感知(CS)的DSSS通信干扰检测算法。首先,将正交匹配追踪(OMP)算法应用于DSSS通信中的干扰检测,分析了该算法的优缺点。其次,针对OMP算法的不足,提出了一种基于OMP算法和小区平均恒定虚警率(CA-CFAR)的联合干扰检测方法。理论分析和计算机仿真均证明了该算法的有效性。仿真结果表明,该方法不仅可以实现干扰检测,而且可以有效地估计干扰量。

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