波束域最大似然测高方法

Height Finding Method Based on Beam Domain Maximum Likelihood

针对雷达在低仰角搜索和跟踪目标时波束打地、受阵地反射多径影响严重的问题,提出了波束域最大似然雷达低仰角测高方法。该方法首先形成俯仰多波束覆盖目标,然后使用最大似然算法对多波束的目标数据进行处理,通过空间谱能量最大化的角度信息估计目标仰角和高度。与传统的和差波束及多波束比幅测角方法相比,该方法受多径影响小,具有较高的角度分辨率和高测量精度。计算机仿真和实测数据的处理结果验证了该算法可行有效。

A height finding method based on beam domain maximum likelihood（ML）is proposed to overcome the height finding problem due to reflection multipath in low angle tracking and scanning.In the proposed method,multiple elevation beams are formed to cover targets and then ML algorithm is used to process target data.The elevation angle and height of target can be estimated by finding the search angle which corresponds to the maximum value of the spatial spectrum.Compared with the methods based on sum-difference beam and multi-beam amplitude comparison,the proposed method has less multipath influence and can provide higher precision in height finding.Simulations and real data processing results are presented to verify the effectiveness of the method.