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Vol. 168, Issue 4, April 2014, pp. 216-222




Application of Improved Dynamic RSSI Algorithm in WIFI Indoor Positioning

1 Bing Su, 1 Chong Wu, 2 Hongyuan Wang

1 School of Information Science and Engineering, Chang Zhou University, Changzhou, Jiangsu,213164, China
2 Key laboratory of Process Perception and Technology of Chang Zhou, Changzhou, Jiangsu,213164, China
1 Tel.: 15800537017, fax: +86 0519-86330558

2 E-mail: hywang@cczu.edu.cn


Received: 20 January 2014 /Accepted: 7 March 2014 /Published: 30 April 2014

Digital Sensors and Sensor Sysstems


Abstract: The disadvantages for meaning filter and Kalman filter are that real-time culling and modified singular value can not be removed and achieved in WIFI indoor position. This paper proposes an improved dynamic RSSI signal processing method. In order to improve the accuracy of dynamic RSSI signal processing, this algorithm is based on average hop distance and improved method of generalized least squares measuring distance error correction that are used by the algorithm, and the revised RSSI value will be processed by weighted filtering method again. Simulation results show that the algorithm has high accuracy and the precision has been greatly enhanced after filtering ranging error.


Keywords: Dynamic RSSI Signal Process; Modified Singular value; Weighted filtering; WIFI; Positioning.


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