关键词: 目标跟踪, 扩展[H&infin, ]滤波, 扩展卡尔曼滤波, 交互式多模型, LOS/NLOS混合环境, TOA-RSSI

Abstract: To attack the problem of target tracking in LOS/NLOS hybrid environments, a robust Interactive Multiple model（IMM） approach based on fused Time of Arrival（TOA） and Received Signal Strength Indicator（RSSI） measurements is proposed in this paper. Extended Kalman Filter（EKF） and Extended H-infinity Filter（EHF） is respectively used to describe the LOS and NLOS transmission, which is modeled by a Markov process. Monte Carlo simulation results show the practice and effectiveness of the proposed algorithm. It has higher positioning accuracy and better tracking stability with similar computing complex compared with the TOA based approach.

Key words: target tracking, extended H-infinity filter, extended Kalman filter, interacting multiple model, LOS/NLOS hybrid environment, TOA-RSSI