基于概率统计的DS/FH系统干扰检测算法

基于时频分布的干扰检测算法是DS/FH（Direct Sequence/Frequency Hopping,直接序列扩频/跳频扩频）系统干扰检测的传统手段,针对其运算量大、实时性差,以及无法检测某些特殊干扰信号等问题,提出一种基于概率统计的干扰检测算法.通过统计DS/FH系统频谱图中各频率的幅值出现位置,以DS/FH信号与干扰信号频谱分布规律的差别为判决依据,完成DS/FH系统中干扰信号的检测.分析和仿真结果表明：该检测算法能够有效识别DS/FH系统中的典型干扰信号,与传统基于时频分布的检测算法相比,能够实现某些特殊干扰信号的有效检测;同时,由于该算法不需要进行复杂的时频联合分析,其运算复杂度大大降低,能够实现DS/FH系统干扰信号的快速检测.

An Interference Detection Algorithm for DS/FH Systems Based on Probability and Statistics Theories

An interference detection algorithm based on probability and statistics is proposed to overcome the draw- backs of huge computing load, poor realtime performance and inability to detect some special interference signals of interference detection algorithm based on time-frequency distribution, a conventional means of interference detection for DS/FH （Direct Sequence/Frequency Hopping） systems. Interference signals in DS/FH systems are detected based on statistics of the position of amplitude of various frequencies in the spectrum of DS/FH systems taking the difference of spectrum distribution regularity between DS/FH signals and interference signals as the evidence of judgment. The results of simulation and analysis show that the detection algorithm effectively identifies typical inter- ference signals in DS/FH systems. Compared with the conventional way of detection algorithm based on time fre- quency distribution, the proposed algorithm successfully detects special interference signals. Moreover, the algo- rithm significantly reduces computing complexity and speeds up interference signal detection for DS/FH signals be cause it does not require complex joint time-frequency analysis.