Title :
A new indoor mobile node tracking scheme based on RSSI and Kalman filter
Author :
Liping Zhang ; Yiping Chen
Author_Institution :
Coll. of Electron. & Electr. Eng., Shanghai Univ. of Eng. Sci. Shanghai, Shanghai, China
Abstract :
In this paper, a novel scheme to track moving node in indoor wireless sensor network is proposed. Firstly, the observed position is estimated by a moving node position algorithm based on Received Signal Strength Indication (RSSI). Secondly, a Kalman filter is used to estimate position in order to improve position accuracy. Simulation results show the effectiveness of presented algorithm in indoor environments.
Keywords :
Kalman filters; indoor radio; mobile radio; target tracking; wireless sensor networks; Kalman filter; RSSI; indoor mobile node tracking scheme; indoor wireless sensor network; node position algorithm; position estimation; received signal strength indication; Kalman Filter; RSSI; Tracking; Wireless sensor network;
Conference_Titel :
Wireless Mobile and Computing (CCWMC 2011), IET International Communication Conference on
Conference_Location :
Shanghai
DOI :
10.1049/cp.2011.0878
