A Simulated Annealing Based Approach for Near-Optimal Sensor Selection in TDOA Localization System

This paper addresses the sensor selection problem in time-difference-of-arrival (TDOA) localization system, where a subset of K sensors is chosen from a total of N sensors such that the trace of the Cramér-Rao lower bound (CRLB) is minimized. We present a simulated annealing (SA) based method to solve the resulting minimization problem. Simulation results demonstrate the superior performance of the proposed method compared with the previous semidefinite relaxation (SDR) based method.