一种基于最小二乘的DS-SS系统抗窄带干扰方法

A Method of Suppressing Narrowband Interference in DS-SS Systems Based on Least Square

针对DS-SS系统未知且统计特性不易获得的窄带干扰,基于最小二乘的方法,在建立信号模型的基础上提出了一种新的抗干扰方法,并对该方法进行了理论推导和计算机仿真.结果表明,该算法对DS-SS系统抗强窄带干扰具有较好的抗干扰效果,与自适应线性滤波算法相比,抗干扰性能更好.

A LS-based method of interference suppression was proposed when the narrowband interference occurred and its statistical characteristics was not obtained easily in an unknown DS-SS system. Based on the signal model, the method was analyzed theoretically and simulated .The simulation results show that the performance of the algorithm to suppress narrowband interference in DS-SS systems is good. Compared with the adaptive linear filter algorithm, its performance of interference suppression is better.