Abstract:

Considering the demand of targets fast tracking under the multiple tasks mode in distributed multiple input multiple output (MIMO) radar system, and combining the characteristics of the low altitude, slow speed, small target (LSS-target), an antenna selection algorithm based on multiple targets localization is proposed. Firstly, a cost function selecting the smallest antenna collection is described. Then, under the constraint of given location accuracy, an antenna selection model is established as a knapsack problem (KP) and the corresponding optimization problem is solved by a modified algorithm proposed in this paper. The simulation results indicate that the proposed algorithm may achieve acceptable selection performance with lower computational complexity. Moreover, the higher the target localization accuracy is, the more obvious the advantages are. Thus the proposed algorithm contributes to multiple targets fast tracking.