摘要
对通信系统所处的干扰环境进行分析,可以使通信双方针对不同的干扰选择正确的抗干扰措施。从接收信号中联合提取干扰的时域、频域和时频域特征,提出了一组鲁棒性强的特征参数,在不需要干扰先验知识的情况下对直接序列扩频通信中常用的干扰样式进行自动识别。仿真结果表明,本方法对各种干扰信号在不同干信比和信噪比情况下能获得较高的正确识别率。
Analyzing the interference environment in which the communications system is located can help both the participants in communication take corresponding anti-interference measurements for specific types of interference. The automatic identificication of the interferences in the direct sequence spread spectrum(DSSS) communication system was proposed by a set of robust feature parameters which can jointly extract the characteristics of the interferences in time, frequency and time-frequency domains at the condition of no prior knowledge of the interferences. The simulated result shows that the correct identification rate of various interference signals based on the method proposed is reasonably high in the case of different interference-to-signal ratio(ISR) and signal-to-noise ratio(SNR).
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2008年第9期1078-1082,共5页
Acta Armamentarii
基金
总参预先研究项目(41001020201)
关键词
信息处理技术
直序扩频通信
干扰样式识别
information processing
direct seqeuence spread spectrdm communication
interference recognition