无线网络信道传输奇异类信号检测研究

摘要

A new method for the detection of singular signals in wireless network channel transmission based on improved chaos algorithm was proposed.According to the principle of wavelet smoothing,we first dealt with the sig nal with noise,and described the signal representation in the reconstructed network channel as the perturbation of the periodic strategy,and brought it into the chaotic system.According to the asymptotic optimal test method of the chaotic detection cycle,we judged whether the network signal was not zero cycle frequency in the communication process as the standard to complete the wireless network channel transmission singularity signal detection.The simulation results show that the proposed algorithm can effectively meet the requirements of the detection of singular signal transmission in the wireless network channel with inter symbol interference.%对无线网络信道传输奇异类信号进行有效检测,可保证无线网络信道传输的稳定性和连续性.进行无线网络信道传输奇异类信号检测时,无线网络本身固有的脆弱性,信号在传输过程中就会出现码间干扰,信道的频率特接收端信号易产生误判,但传统方法是通过将频率特接收端信号与待检测的信号进行对比完成奇异类信号检测,导致奇异类信号检测误差大的问题.提出一种改进混沌算法的无线网络信道传输奇异类信号检测方法.上述方法先依据小波平滑原理对含有噪声信号进行有限离散处理,将重构的网络信道中信号表述为周期策动力的摄动,纳入混沌系统,并依据混沌检测循环频率的渐近最优检验方法,以判断网络信号在通信过程中是否存在非零循环频率为标准,完成无线网络信道传输奇异类信号检测.仿真结果表明,所提算法可以有效地满足码间串扰下无线网络信道传输奇异类信号检测的需求.