Multi-target Positioning Method of Passive MIMO Radar based on DBSCAN

Abstract

In this paper, we propose a passive Multiple Input Multiple Output (MIMO) radar multi-target positioning method based on DBSCAN (Density-Based Spatial Clustering of Applications with Noise). MIMO radar has received extensive attention and researches since it has been introduced. Applying MIMO radar theory to passive radar technology can combine the advantages of the two technologies and get better detection performance. In this paper, the multi-target data association algorithm is mainly used, and the time delay information measured by multiple receiving stations is converted into distance information and associated with the cost matrix. First, data preprocessing is performed by eliminating data in the cost matrix which is greater than the threshold. Then DBSCAN clustering algorithm is used to divide the data into clusters. Finally, different clusters are weighted and fused to obtain multi-target position estimates. Simulation results prove that the algorithm performs well.