基于联合估计的无线通信网络干扰抑制算法

Interference Suppression Algorithm for Wireless Communication Networks Based on Joint Estimation

为了保障通信网络信号稳定、减少传输数据错误,提出基于联合估计的无线通信网络干扰抑制算法。分析单音正弦干扰接收器采集的信号,得出扩频信号存在失真现象,判断通信接收器的信号内含有加性噪声。使用卡尔曼滤波推算采集的干扰数据,得出干扰抑制预期状态和误差方程,并结合神经网络算法,对信号做加权处理减少数据损伤。重构映射域,在横向滤波器中引入非线性简单抑制器,实现干扰的有效抑制。通过仿真,证明所提算法的干扰抑制效果较好,增强了信号信噪比,且使处理后的信号与通信网络原始信号较为接近,说明上述算法具有较好的收敛性,降低了数据传输误差。

In order to ensure the stability of communication network signals and reduce errors during data trans⁃mission,an algorithm of interference suppression for wireless communication network based on joint estimation was proposed.Firstly,we analyzed the signals collected by the monophonic sinusoidal interference receiver and conclude that there was distortion in the spread spectrum signals,then We determined that the signal of the communication re⁃ceiver contained additive noise.Secondly,we used Kalman filter to calculate the collected interference data,thus to obtain the expected state and error equation of interference suppression.Combining with the neural network algorithm,we weighted the signals in order to reduce the data damage.Moreover,we reconstructed the mapping domain,and in⁃troduced a nonlinear simple suppressor into the transversal filter.Finally,we achieved effective interference suppres⁃sion.Through the simulation,it is proved that the proposed algorithm has better interference suppression,enhances the signal-to-noise ratio,and makes the processed signal closer to the original signal.In addition,this algorithm has good convergence and reduces the error of data transmission.