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| 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 |
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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.
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Received: 01 December 2005
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2007, Vol. 29 
