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Graduate Exam Abstract


Wenshu Zhang

Ph.D. Preliminary

May 9, 2011, 10:30am

Engineering B203

Cooperative sensing for target estimation and target localization


Abstract: As a novel sensing scheme, cooperative sensing has drawn great interests in recent years. By utilizing the concept of cooperation, which incorporates communications and information exchanges among multiple sensing devices, e.g. radar transceivers in radar systems, sensor nodes in wireless sensor networks, or mobile handsets in cellular systems, the sensing capability can achieve significant improvement compared to the conventional noncooperative mode in many aspects. From the perspective of cooperative target estimation, in this proposed work, we optimize waveforms from multiple cooperative transmitters to facilitate better target estimation in the presence of colored noise. We introduce the normalized MSE (NMSE) minimizing criterion for radar waveform designs. Not only is it more meaningful for parameter estimation problems, but it also exhibits more similar behaviors with the MI criterion than its MMSE counterpart. We also study the robust designs for both the probing waveforms at the transmitter and the estimator at the receiver to address the a priori information uncertainties. From the perspective of cooperative target localization, we focus on the first phase of the localization process, i.e., the distance measurement phase. Thanks to UWB signals' many desirable features including high delay resolution and obstacle penetration capabilities, we adopt UWB technology for TOA estimation, and then translate the TOA estimate into distance given light propagation speed. We develop a pracical data-aided ML timing algorithm and obtain its optimum training sequence. Based on this optimum sequence, the original ML algorithm can be simplified without affecting its optimality.

Adviser: Dr. Liuqing Yang
Co-Adviser: NA
Non-ECE Member: Dr. Haonan Wang, Statistics
Member 3: Dr. Ali Pezeshki, ECE
Addional Members: Dr. Jie Luo, ECE

Publications:
J1. W. Zhang and L. Yang, "Communications-Inspired Sensing: A Case Study on Waveform Design," in IEEE Transactions on Signal Processing, vol. 58, no. 2, pp. 792-803, February 2010. J2. W. Zhang, D. Duan and L. Yang, "Relay Selection from a Battery Energy Efficiency Perspective," IEEE Transactions on Communications, 2011 (to appear). J3. W. Zhang, L. Yang and W. Zang, "On the Optimality of Timing with Dirty Templates," IEEE Transactions on Signal Processing, 2011 (submitted). C1. W. Zhang and L. Yang, "SC-FDMA for Uplink Smart Meter Transmission over Low Voltage Powerlines," International Symposium on Power Line Communications and Its Applications, 2011 (accepted). C2. W. Zhang and L. Yang, "Sensitivity Analysis of the Optimum Waveform Design for Target Estimation in MIMO Sensing," in Proceedings of IEEE Wireless Communications & Network Conference (WCNC), Sydney, Australia, April 18-21, 2010. C3. W. Zang, W. Zhang and L. Yang, "On the Optimality of Timing with Dirty Templates," in Proceedings of IEEE Globecom Conference, Honolulu, Hawaii, November 30-December 4, 2009. C4. W. Zhang, D. Duan and L. Yang, "Relay Selection from a Battery Energy Efficiency Perspective," in Proceedings of MILCOM Conference, Boston, MA, October 18-21, 2009. C5. W. Zhang and L. Yang, "Communication-Inspired Sensing," in Proceedings of the 42th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October 26-29, 2008 (invited). C6. W. Zhang, D. Qu and G. Zhu, "Performance Investigation of Distributed STBC-OFDM System with Multiple Carrier Frequency Offsets," in Proceedings of The 17th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Helsinki, Finland, September 11-14, 2006. C7. Z. Li, W. Zhang and G. Zhu, "On Detection of Distributed STBC-OFDM System with Multiple Carrier Frequency Offset," in Proceedings of IEEE 63rd Vehicular Technology Conference (VTC), Melbourne, Australia, May 7-10, 2006.


Program of Study:
ECE799
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