Accuracy Refinement Algorithm for Mobile Target Location Tracking by Radio Signal Strength Indication Approach
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概要
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A novel RSSI (Received Signal Strength Indication) refinement algorithm is proposed to enhance the resolution for indoor and outdoor real-time location tracking system. The proposed refinement algorithm is implemented in two separate phases. During the first phase, called the pre-processing step, RSSI values at different static locations are collected and processed to build a calibrated model for each reference node. Different measurement campaigns pertinent to each parameter in the model are implemented to analyze the sensitivity of RSSI. The propagation models constructed for each reference nodes are needed by the second phase. During the next phase, called the runtime process, real-time tracking is performed. Smoothing algorithm is proposed to minimize the dynamic fluctuation of radio signal received from each reference node when the mobile target is moving. Filtered RSSI values are converted to distances using formula calibrated in the first phase. Finally, an iterative trilateration algorithm is used for position estimation. Experiments relevant to the optimization algorithm are carried out in both indoor and outdoor environments and the results validated the feasibility of proposed algorithm in reducing the dynamic fluctuation for more accurate position estimation.
- (社)電子情報通信学会の論文
- 2008-07-01
著者
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Chung Wan-young
Division Of Computer & Information Engineering Dongseo University
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LAU Erin-Ee-Lin
Dept. of Ubiquitous IT, Graduate School of Design & IT, Dongseo University
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Lau Erin-ee-lin
Dept. Of Ubiquitous It Graduate School Of Design & It Dongseo University
関連論文
- A Wireless Body Sensor Network Platform for Ubiquitous Health Care (日韓合同ワークショップ 1st Korea-Japan Joint Workshop on Ubiquitous Computing and Networking Systems (ubiCNS 2005))
- Accuracy Refinement Algorithm for Mobile Target Location Tracking by Radio Signal Strength Indication Approach