The Community for Technology Leaders
RSS Icon
Issue No.01 - Jan. (2013 vol.12)
pp: 177-186
Enyang Xu , University of California, Davis
Zhi Ding , University of California, Davis
Soura Dasgupta , University of Iowa, Iowa
This work studies the problem of tracking signal-emitting mobile targets using navigated mobile sensors based on signal reception. Since the mobile target's maneuver is unknown, the mobile sensor controller utilizes the measurement collected by a wireless sensor network in terms of the mobile target signal's time of arrival (TOA). The mobile sensor controller acquires the TOA measurement information from both the mobile target and the mobile sensor for estimating their locations before directing the mobile sensor's movement to follow the target. We propose a min-max approximation approach to estimate the location for tracking which can be efficiently solved via semidefinite programming (SDP) relaxation, and apply a cubic function for mobile sensor navigation. We estimate the location of the mobile sensor and target jointly to improve the tracking accuracy. To further improve the system performance, we propose a weighted tracking algorithm by using the measurement information more efficiently. Our results demonstrate that the proposed algorithm provides good tracking performance and can quickly direct the mobile sensor to follow the mobile target.
Mobile communication, Target tracking, Robot sensing systems, Noise, Navigation, Mobile computing, TOA, Mobile sensor navigation, weighted tracking
Enyang Xu, Zhi Ding, Soura Dasgupta, "Target Tracking and Mobile Sensor Navigation in Wireless Sensor Networks", IEEE Transactions on Mobile Computing, vol.12, no. 1, pp. 177-186, Jan. 2013, doi:10.1109/TMC.2011.262
[1] M. Cetin, L. Chen, J. Fisher, A. IhlerIII, M. Wainwright, and A. Willsky, "Distributed Fusion in Sensor Networks," IEEE Signal Processing Magazine, vol. 23, no. 4, pp. 42-55, Dec. 2006.
[2] A.H. Sayed, A. Tarighat, and N. Khajehnouri, "Network-Based Wireless Location: Challenges Faced in Developing Techniques for Accurate Wireless Location Information," IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 24-40, July 2005.
[3] N. Patwari, J.N. Ash, S. Kyperountas, A. Hero, R.L. Moses, and N.S. Correal, "Locating the Nodes: Cooperative Localization in Wireless Sensor Networks," IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 54-69, July 2005.
[4] P.H. Tseng, K.T. Feng, Y.C. Lin, and C.L. Chen, "Wireless Location Tracking Algorithms for Environments with Insufficient Signal Sources," IEEE Trans. Mobile Computing, vol. 8, no. 12, pp. 1676-1689, Dec. 2009.
[5] T. Li, A. Ekpenyong, and Y.F. Huang, "Source Localization and Tracking Using Distributed Asynchronous Sensors," IEEE Trans. Signal Processing, vol. 54, no. 10, pp. 3991-4003, Oct. 2006.
[6] L. Mihaylova, D. Angelova, D.R. Bull, and N. Canagarajah, "Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise," IEEE Trans. Mobile Computing, vol. 10, no. 1, pp. 44-53, Jan. 2011.
[7] Y. Zou and K. Chakrabarty, "Distributed Mobility Management for Target Tracking in Mobile Sensor Networks," IEEE Trans. Mobile Computing, vol. 6, no. 8, pp. 872-887, Aug. 2007.
[8] R. Rao and G. Kesidis, "Purposeful Mobility for Relaying and Surveillance in Mobile Ad Hoc Sensor Networks," IEEE Trans. Mobile Computing, vol. 3, no. 3, pp. 225-231, Mar. 2004.
[9] C.D. Yang and C.C. Yang, "A Unified Approach to Proportional Navigation," IEEE Trans. Aerospace and Electronic Systems, vol. 33, no. 2, pp. 557-567, Apr. 1997.
[10] M. Mehrandezh, M.N Sela, R.G Fenton, and B. Benhabib, "Proportional Navigation Guidance for Robotic Interception of Moving Objects," J. Robotic Systems, vol. 17, no. 6, pp. 321-340, 2000.
[11] I. Shames, S. Dasgupta, B. Fidan, and B.D.O. Anderson, "Circumnavigation Using Distance Measurements under Slow Drift," IEEE Trans. Automatic Control, vol. 57, no. 4, pp. 889-903, Apr. 2012.
[12] F. Belkhouche, B. Belkhouche, and P. Rastgoufard, "Line of Sight Robot Navigation Toward a Moving Goal," IEEE Trans. Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 36, no. 2, pp. 255-267, Apr. 2006.
[13] J. Vargas, S. Mendez, and F. Belkhouche, "Tracking Under the Nonholonomic Constraint Using Cubic Navigation Laws," Proc. IEEE Int'l Conf. Systems, Man and Cybernetics., pp. 2788-2793, 2009.
[14] E.Y. Xu, Z. Ding, and S. Dasgupta, "Source Localization in Wireless Sensor Networks from Signal Time-of-Arrival Measurements," IEEE Trans. Signal Processing, vol. 59, no. 6, pp. 2887-2897, June 2011.
[15] P. Biswas, T.C. Liang, K.C. Toh, Y. Ye, and T.C. Wang, "Semidefinite Programming Approaches for Sensor Network Localization with Noisy Distance Measurements," IEEE Trans. Automation Science and Eng., vol. 3, no. 4, pp. 360-371, Oct. 2006.
[16] H.D. Sherali and W.P. Adams, A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems. Kluwer Academic, 1998.
[17] J.F. Sturm, "Using SeDuMi 1.02, a MATLAB Toolbox for Optimization over Symmetric Cones," Optimization Methods Software, vol. 11/12, pp. 625-653, http:/, 1999.
[18] A. Kannan, G. Mao, and B. Vucetic, "Simulated Annealing Based Wireless Sensor Network Localization with Flip Ambiguity Mitigation," Proc. IEEE Vehicular Technology Conf. Spring (VTC), pp. 1022-1026, 2006.
[19] J.A. Costa, N. Patwari, and A.O. HeroIII, "Distributed Multidimensional Scaling with Adaptive Weighting for Node Localization in Sensor Networks," ACM Trans. Sensor Networks, pp. 1-23, 2005.
[20] P. Tichavsky, C.H. Muravchik, and A. Nehorai, "Posterior Cramér-Rao Bounds for Discrete-Time Nonlinear Filtering," IEEE Trans. Signal Processing, vol. 46, no. 5, pp. 1386-1396, May 1998.
7 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool