扩频通信中数字窄带干扰抑制的仿真分析

由于对新兴的个人通信业务缺乏可分配频率 ,已提出在这种业务中使用扩频信号 ,这将出现与现存的频带占有者互相交叠的情况。为使其不干扰与其共存的窄带用户 ,这种扩频信号的功率将有所限制。近来对抑制干扰商用扩频通信系统的强窄带干扰的研究已重新引起人们的兴趣。在以前的研究中 ,窄带用户被模拟为正弦信号或自回归信号。该论文表明 ,当窄带干扰实际是一个数字通信信号时 ,预测滤波器技术抑制这种窄带信号的效果与从多用户通信中得出的技术相比要差。该论文特别研究了当把窄带用户模拟为数字信号时 ,恢复扩频比特流的最优和接近最优的 (低背景噪声 )线性算法。并对其性能进行了仿真分析。

Performance Study of Digital Narrowband Interference Suppression's Simulation and Analysis in Spread Spectrum Communications

Due to the scarcity of frequency allocations for emerging personal communications services, it has been proposed that spread spectrum(ss) signals be used in such services so that they can be overlaid on existing frequency band occupants. Such SS signals would be constrained in power so as not to interfere with pre-existing, narrowband users. In view of this application, suppression of strong narrowband signals that interfere with commercial SS communications systems is being investigated with renewed interest. Previous research has modeled narrowband users as sinusoidal or autoregressive signals . In this paper it is shown that when the narrowband interfere is in fact a digital communications signal these methods are less effective than techniques derived from multiuser communications. In particular ,by modeling a narrowband user as a digital signal, optimal and asymptotically (low back-ground noise )optimal linear algorithms for the recovery of the SS bit stream are developed and simulated.