一种基于改进NLMS的多雷达主瓣干扰抑制方法OACSTPCD

In the remote detection scenarios,the performance of single station anti-interference methods decreases severely due to the small angle gap between missile-borne main lobe and target.Multiple radars can effectively ″distinguish″ targets and interference by reasonable station arrangement,which is considered to be an effective way to suppress main lobe interference.In response to the common problem of slow convergence speed in current multi-radar anti main lobe interference methods,a multi-radar anti main lobe interference method based on improved normalized least mean square(NLMS)is proposed,and its application conditions are given by theoretical derivation.In this method,fast convergence is achieved by defining a dissipation factor to achieve adaptive control of step size.Simulation results show that the method has significant advantages in convergence speed and mean square error(MSE)after convergence.The performance of this method was further verified in field experiments.Under the premise of meeting the station layout conditions and having an interference-to-noise ratio greater than or equal to 30 dB,its signal-to-noise ratio improvement can reach over 19 dB,which has high application value.