Abstract

We consider a joint scheme of antenna subset selection and optimal power allocation for localization in multiple-input-multiple-output radar sensor networks. Sensor management is accomplished by solving a constrained optimization problem that is formulated to minimize the error in estimating target position, while conserving transmitter number and power budget. We propose a suboptimal scheme for approximately solving this problem. The scheme separates the optimization into two steps, in which each step is transformed into a second-order cone programming (SOCP) by convex relaxation. Simulation results show that the proposed suboptimal two-step SOCP solution provides better localization performance for other strategies and is close to the optimal solution with a simulated annealing technique.

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