针对传统滤波方法抗干扰能力差、收敛性低的弊端,提出一种新的窄带干扰下自组织网络通信中自适应非线性滤波方法.介绍了MLMS方法,给出滤波器结构.采用非线性函数对估计误差信号施行相关处理,通过MLMS法对抽头系数进行更新.为了降低信号干扰样本的干扰,利用非线性函数对其进行修正,给出新的抽头系数更新方程.根据正弦干扰对白高斯噪声信号进行描述,获取最佳抽头系数.通过输出信噪比和输入信噪比的比值对所提方法抵御窄带干扰的性能进行评价.将所提方法应用于窄带干扰自组织网络通信中,结果表明,所提方法抑制干扰能力强、收敛性能高、得到的信号效果好.%In view of the drawbacks of the traditional filtering methods, such as poor anti-interference ability and low convergence,a new adaptive nonlinear filtering method in ad hoc network communication with narrowband interference is proposed.The MLMS method is introduced and the filter structure is given.The nonlinear error function is used to process the estimated error signal,and the tap factor is updated by MLMS method.In order to reduce the interference of the signal interference sample,the nonlinear function is used to correct it,and a new up-dating equation of the tap factor is given.According to sinusoidal interference,the Gauss noise signal is described, and the optimum tap factor is obtained.The performance of the proposed method against narrowband interference is evaluated by means of the ratio of the output signal-to-noise ratio to the input signal-to-noise ratio.The proposed method is applied to narrowband interference communication in Ad Hoc networks,and the results show that the pro-posed method has strong anti-interference ability,high convergence performance and good signal effect.
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