Abstract
Considering the demands of different location estimation performance and less computational complexity for multiple targets tracking, we present a power allocation scheme in distributed multiple-input multiple-output (MIMO) radar systems. Restricted by different location estimation mean square error (MSE) requirements and transmitted power upper bound, combining sequential parameter convex approximation (SPCA) algorithm and heuristic allocation (HA) algorithm, we propose a modified SPCA (MSPCA) algorithm to address the non-convex optimization problem so that the total power budget can be minimized. Extensive simulation results indicate that, compared with uniform allocation (UA) algorithm and HA algorithm, the proposed algorithm presents approximate optimal power budget with much less computational complexity.
Published Version
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