Transmit and receive sensors joint selection for MIMO radar tracking based on PCRLB

摘要

This paper mainly focus on the transmit and receive sensors joint selection problem of distributed MIMO radar in target tracking scienario. Beacause of the limited resources of radars, a subset of radars need to be selected in MIMO radar network at every intance while making the performance to its best. For that purpose, posterior cramer-rao lower bound (PRCLB) is introduced as the optimization criterion for our optimization problem, where the trace of Bayesian fisher information matrix is maximized. By using the semidefinite programming ralxation(SDR) technique and Gaussian randomization method, near optimal soluitions of tranmitters and receivers selection are simultaneouly obtained. Simulation results successfully demonstrate the effectiveness of our method.