Abstract: A NLOS mitigation algorithm based on NLOS base station identification of TOA measurements was proposed to eliminate position location bias caused by NLOS propagation. Different from conventional NLOS mitigation algorithm based TOA statistics, this algorithm directly identified NLOS station through multi-antenna received data and fused LOS and NLOS TOAs to calculate the location of mobile station. Taking the advantage of probability distribution function difference of rician K-factor under LOS and NLOS scenarios, the NLOS station was identified through the estimated K factor from multi-antenna received data. Finally MS location was calculated via constrained programming fusing TOA measurements of LOS and NLOS base station. Simulation results showed that the proposed algorithm could achieve good identification performance and high location precision with NLOS measurements through fusing NLOS measurements.