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Vol. 177, Issue 8, August 2014, pp. 1-6




A Simultaneous Localization and Tracking Algorithm Based on Compressing Kalman Filter

1 Zhao Yafeng, 2 Ren Hong’e, 1 Hu Junfeng

1 College of Mechanical and Electrical Engineering, Northeast Forest University, Harbin, 150040, China
2 College of Information and Computer Engineering, Northeast Forest University, Harbin, 150040, China
1 Tel.: 86-13633610309

1 E-mail: nefuzyf@126.com


Received: 14 January 2014 /Accepted: 28 February 2014 /Published: 31 August 2014

Digital Sensors and Sensor Sysstems


Abstract: Simultaneous Localization and tracking was studied to solute the problem of tracking a moving target in a sensor network while simultaneously localizing and calibrating the nodes of the network. RSSI is used for measuring the distance between the nodes pairs, multidimensional scaling techniques are used for the initial position of wireless sensor network based on the distance matrix. Then the compression Kalman filter is used to estimate and update the sensor node position and the target position. Simulation results show that the algorithm has high accuracy and real-time performance under low network, especially for long distance tracking.


Keywords: Wireless Sensor Network, Target Tracking, Simultaneous Localization and Tracking.


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