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TRACKING IN WIRELESS SENSOR NETWORK USING BLIND SOURCE SEPARATION ALGORITHMS

Vikram, Anil Babu
http://rave.ohiolink.edu/etdc/view?acc_num=csu1259959597

Abstract Details

2009, Master of Science in Electrical Engineering, Cleveland State University, Fenn College of Engineering.
This thesis describes an approach to track multiple targets using wireless sensor networks. In most of previously proposed approaches, tracking algorithms haveaccess to the signal from individual target for tracking by assuming (a) there is only one target in a field, (b) signals from different targets can be differentiated, or (c) interference caused by signals from other targets is negligible because of attenuation. We propose a general tracking approach based on blind source separation, a statistical signal processing technique widely used to recover individual signals from mixtures of signals. By applying blind source separation algorithms to mixture signals collected from sensors, signals from individual targets can be recovered. By correlating individual signals recovered from different sensors, the proposed approach can estimate paths taken by multiple targets. Our approach fully utilizes both temporal information and spatial information available for tracking. We evaluate the proposed approach through extensive experiments. Experiment results show that the proposed approach can track multiple objects both accurately and precisely. We also propose cluster topologies to improve tracking performance in low-density sensor networks. Parameter selection guidelines for the proposed topologies are given in this Thesis. We evaluate proposed cluster topologies with extensive experiments. Our empirical experiments also show that BSS-based tracking algorithm can achieve comparable tracking performance in comparison with algorithms assuming access to individual signals.
Ye Zhu, Ph.D. (Committee Chair)
Vijay K. Konangi, Ph.D. (Committee Member)
Yongjian Fu, Ph.D. (Committee Member)
91 p.
Electrical Engineering
Tracking; wireless sensors; BSS algorithms

Recommended Citations

Citations

  • Vikram, A. B. (2009). TRACKING IN WIRELESS SENSOR NETWORK USING BLIND SOURCE SEPARATION ALGORITHMS [Master's thesis, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu1259959597

    APA Style (7th edition)

  • Vikram, Anil Babu. TRACKING IN WIRELESS SENSOR NETWORK USING BLIND SOURCE SEPARATION ALGORITHMS. 2009. Cleveland State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=csu1259959597.

    MLA Style (8th edition)

  • Vikram, Anil Babu. "TRACKING IN WIRELESS SENSOR NETWORK USING BLIND SOURCE SEPARATION ALGORITHMS." Master's thesis, Cleveland State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=csu1259959597

    Chicago Manual of Style (17th edition)

csu1259959597
1,541
© 2009, some rights reserved.Creative Commons License TRACKING IN WIRELESS SENSOR NETWORK USING BLIND SOURCE SEPARATION ALGORITHMS by Anil Babu Vikram is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Cleveland State University and OhioLINK.