基于广义MUSIC算法的低仰角估计新方法

A New Low-elevation Estimation Method Based on a General MUSIC Algorithm

由于多径信号的存在,米波雷达对低仰角目标的估计性能受到严重影响。针对这一问题,该文首先介绍了广义MUSIC算法及两种改进算法,理论分析表明这些算法有效性的实质是对基本谱峰搜索方式进行加权,抑制了小角度产生的大谱值。在此基础上,该文提出了基于广义MUSIC算法的低仰角估计方法模型,并给出一种新的低仰角估计方法。该方法利用了更加合理的权值,与已有方法相比,估计的成功概率更高,性能更优。仿真试验验证了该方法及模型的有效性和正确性。

Radar low-elevation estimation performance in the VHF band is severely influenced in the presence of multipath.To deal with this problem,this study first analyzes general MUSIC（MUltiple SIgnal Classification） and other algorithms,pointing out that the essential effectiveness of these algorithms is a weighting of the basic spectrum searching formula,which inhibits large spectrum values produced by a small angle.On this basis,this paper subsequently presents an elevation-estimating model via a general MUSIC algorithm and a new low-elevation angle estimation method,which utilizes a proper weight.Compared with existing methods,the new method has a higher probability of success and better performance.Simulation results verify the validity and correctness of this method and model.