Maximum Likelihood DOA Estimation in Radar Low-Angle Tracking Environment
Shouhong Zhang · Dianzi xuebao · 2004
Based on the temporal-spatial sequential Maximum Likelihood(ML) algorithm,a new algorithm for estimating the elevation angle of a target in radar low-angle tracking environment is presented.According to the range of the target and the height of the antenna,the new algorithm first gets the relation of the direct and specular signals in elevation.Then a one-dimensional search are done on the likelihood function.Compared to the temporal-spatial sequential ML algorithm,the new algorithm not only has a low computation complexity,but also has a good performance.The theoretical analysis and computer simulation results demonstrate the merits of the new algorithm.