基于CLEAN算法的自适应旁瓣对消技术

Adaptive Side-Lobe Cancellation Technique Based on CLEAN Algorithm

自适应旁瓣对消技术能够很好地抑制旁瓣干扰,但在应用中发现,自适应旁瓣对消对跟踪的高信噪比目标带来的信噪比损失较大,导致单脉冲和差测角精度下降。本文提出了一种基于CLEAN算法的自适应旁瓣对消方法,首先通过观测目标的先验信息构建目标回波模型,再利用该回波模型剔除对消通道中的目标信息,然后基于剔除目标信息后的对消通道数据,重新计算最优加权值进行主通道的干扰对消,最后仿真和实测结果验证了该方法不仅可以减少主通道中目标对消后的信噪比损失,同时也降低了对消后对目标测角精度的影响。

The adaptive sidelobe cancellation can suppress the sidelobe interference well,but it is found that there is a large signal-to-noise ratio loss for the high signal-to-noise ratio target,resulting in a decrease in the accuracy of monopulse sum-difference angle estimation.In this paper,an adaptive sidelobe cancellation method based on CLEAN algorithm is proposed.First,the target echo model is constructed by observing the prior information of the target,and the echo model is used to eliminate the target information in the cancellation channel.Then the optimal weighted value for the interference cancellation of the main channel is recalculated based on the neutralization channel data after removing the target information.Finally,the simulation and measured results verify that the method can not only reduce the signal-to-noise ratio loss of the target cancellation in the main channel,but also reduce the influence on the target angle mea-surement accuracy after elimination.