一种基于改进NLMS的多雷达主瓣干扰抑制方法

Multi⁃radar main lobe interference suppression method based on improved NLMS algorithm

远程探测场景下弹载主瓣干扰因与目标角度间隔小,单站抗干扰方法性能下降严重。多雷达通过合理布站可有效“分辨”目标和干扰,被认为是可有效抑制主瓣干扰的途径。针对当前多雷达抗主瓣干扰方法普遍存在收敛速度慢的问题,提出一种基于改进归一化最小均方(NLMS)的多雷达对消抗主瓣干扰方法,并通过理论推导给出了其应用条件。该方法通过定义消散因子实现对步长的自适应控制从而达到快速收敛的目的,仿真结果表明该方法在收敛速度及收敛后均方误差(MSE)上具有明显优势。最后通过外场试验进一步验证该方法的性能,在满足布站条件且干噪比≥30 dB的前提下,信噪比改善可达19 dB以上,具有较高的应用价值。

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.