Tracking Based on Kalman Filtering for Measurements Restructuring and Mobile Location
Huang Qing-ming①; Liu Ju①②
①School of Information Science and Engineering, Shandong University, Jinan 250100, China;②State Key Lab. of Mobile Communications, Southeast University, Nanjing 210096, China
Abstract：The main impairment for location of terminals in wireless communications system is the Non-Line Of Sight (NLOS) condition. This paper presents a robust location tracking architecture for a NLOS situation. It mitigates NLOS error in the raw measurement using biased Kalman filtering. And then, a reckoning mechanism is introduced to Kalman filtering of location estimates. Simulation results demonstrate that, with the novel architecture, the location estimate can be obtained with good accuracy even in severe NLOS propagation conditions.
黄清明; 刘琚. 基于卡尔曼滤波的测量值重构及定位算法[J]. 电子与信息学报, 2007, 29(7): 1551-1555 .
Huang Qing-ming; Liu Ju. Tracking Based on Kalman Filtering for Measurements Restructuring and Mobile Location. , 2007, 29(7): 1551-1555 .
2007, Vol. 29 
