改进型PASTd双基地MIMO雷达相干目标角度跟踪算法

摘要

A new fast tracking algorithm based on data smoothing is proposed for angle tracking of coherent moving sources for bistatic radar. Firstly,Spatial smoothing is using to get full rank by using data smoothing reconstruction,getting rid of impact of coherent signal. The improved PASTd algorithm is put forward which is suitable for smooth data. The target feature vector is faster getting by reusing the improved PASTd algorithm,which is orthogonalizated to get the signal subspace. Last the direction of departure (DOD)and direction of arrival (DOA)can be estimated combining with the subspace kind algorithms such as ESPRIT,and the multi-target cross localization is achieved,complete the angle of the moving target tracking. The effectiveness of the proposed method is verified with the computer simulation.%针对双基地MIMO雷达相干目标运动时角度跟踪问题，提出了一种基于数据平滑的快速跟踪算法。首先借鉴空间平滑的思想，采用数据平滑重构得到满秩的数据，去除相干信号造成的影响。对PASTd算法进行改进，提出适合平滑后数据的PASTd算法，通过改进的PASTd算法，能够更快地得到目标特征向量，并对其进行正交化得到信号子空间，最后结合ESPRIT算法得到收发角度，并实现自动配对，完成运动目标的角度跟踪。仿真结果验证算法的有效性。