In order to improve the localization accuracy of TOA (Time of Arrival) in distributed acoustic source localization system

the CRLB (Cramer Rao Lower Bound) of localization error is deduced by taking the node performance difference into account.The adaptive genetic algorithm is used to study the optimal sensor placement by minimizing the average CRLB when the target is uniform probability distribution and Gauss distribution probability scenario in the field interested.The simulation results show that the optimal sensor placement based on the sensor observation performance is directly related to the probability distribution of sound source in the detection area.