基于重叠变换的扩频通信盲源分离抗干扰方法研究

An Anti-Jamming Method of Blind Source Separation in Spread Spectrum Communication Based on Overlapping Transformation

扩频通信技术虽然具有误码率低、保密性强的优势,但由于受多种因素影响,其自身的抗干扰性能仍存在局限性,为了保证通信系统在干扰信号下的性能,研究基于重叠变换的扩频通信盲源分离抗干扰方法。建立扩频通信系统模型,衡量扩频信号;基于盲源分离处理信号,实现中心化、白化与分离处理;通过干扰信号建模,分析不同信号干扰自相关函数;基于重叠变换抑制干扰信号,经重构恢复后,得到期望信号。经试验论证分析,以TDC方法和DSSC方法为对照,在单通道的单音干扰和多址干扰下,误码率均为最低,具有更好的误码率性能;在多径衰落信道干扰下,在4种情形中的比特差错性能均好于其他两种方法,抗干扰性能更佳,具有可靠性。

Although spread spectrum communication technology has the advantages of low bit error rate and strong confidentiality,its anti-interference performance is limited due to various factors affecting the communication system.In order to ensure the performance of the communication system under interference signals,a blind source separation anti-interference method based on overlap transformation for spread spectrum communication is studied.It establishes a spread spectrum communication system model,measures the spread spectrum signal,achieves centralization,whitening by signal processing based on blind source separation,analyzes the autocorrelation functions of different signal interferences by modeling interference signals,and obtains the desired signal by reconstruction and recovery based on overlapping transformation which can suppress interference signals.After experimental verification and analysis,compared with TDC method and DSSC method,the bit error rate is the lowest under single tone interference and multiple access interference in a single channel,with better bit error rate performance.Under multipath fading channel interference,the bit error performance in all four cases is better than the other two methods,with better anti-interference performance and reliability.