A novel localization algorithm based ant lion optimization method in NLOS environment

摘要

In a localization system, time difference of arrival (TDOA) technique is widely used to estimate the location of a mobile station (MS). To improve the estimation performance of MS location, a novel algorithm based a constrained ant lion optimization method is presented in non-line-of-sight (NLOS) environments. Firstly, two objective functions are designed according to the TDOA and angle of arrival(AOA) information, then the MS positions are obtained by the ant lion optimization method which is novel and effective. Simulations are conducted to compare with other localization methods and evaluate the performance of the algorithm. The simulation results show that the proposed algorithm can obtain more precise location accuracy.