基于非线性自适应脉冲噪声处理技术的甚低频通信大气噪声抑制算法及仿真实现

Atmospheric Noise Suppression Algorithm and Simulation Implementation of VLF Communication Based on Nonlinear Adaptive Processing Technology

大气噪声中的脉冲噪声由于其瞬时能量和幅度较大,严重影响了甚低频通信系统性能。为了提高甚低频接收机的性能,必须对混有大气噪声的接收信号进行处理,来降低接收机的误码率。以MSK信号为例,通过对甚低频通信系统进行仿真,验证了基于变步长LMS算法的非线性自适应噪声处理技术对脉冲噪声进行抑制的有效性和可行性。

The impulse noise in atmospheric noise has a great influence on the performance of VLF communication system be-cause of its large instantaneous energy and amplitude. In order to improve the performance of VLF receiver,the reception signalwith atmospheric noise must be processed to reduce the bit error rate of the receiver. Taking the MSK signal as an example,by pro-cessing the VLF communication system,the validity and feasibility of the nonlinear adaptive noise processing technique based onvariable step length LMS algorithm to suppress impulse noise is verified.