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Graduate Exam Abstract


Wenshu Zhang

Ph.D. Final

October 17, 2011, 10:00am

Engineering B201

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, the sensing capability can achieve significant improvement compared to the conventional noncooperative mode in many aspects. From the perspective of cooperative target estimation, 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. The relationship between MI and MSEs is further investigated through analysis of the sensitivity of the optimum design to the out-band PSD uncertainties as known as the overestimation error. From the perspective of cooperative target localization, we study the two phases that comprise a localization process. In the first distance measurement phase, thanks to UWB signals' high delay resolution feature, we adopt UWB technology for TOA estimation. We develop a practical data-aided ML timing algorithm and obtain its optimum training sequence, based on which the original ML algorithm can be simplified without affecting its optimality. In the second location update phase, we investigate secure cooperative localization in the presence of attackers, which consists of a fundamental issue in localization problems. We explicitly incorporate anchors' misplacements into the distance measurement model and explore the pairwise sparse nature of the misplacements. We formulate the secure target localization problem as an L1-regularized least squares (LS) problem and establish the sparsity threshold which defines the highest possible number of identifiable malicious anchors. Particularly, it is demonstrated that target cooperation facilitates better misplacement estimation and target location estimation compared to the single target case.

Adviser: Dr. Liuqing Yang
Co-Adviser: N/A
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, H. Xu and L. Yang, "A Novel L1-Regularized LS Formulation for Target Localization and Malicious Anchor Identification," in Proc. of MILCOM Conference, 2011 (accepted). C2. W. Zhang and L. Yang, "SC-FDMA for Uplink Smart Meter Transmission over Low Voltage Powerlines," in Proc. of ISPLC, Udine, Italy, April 3-6, 2011. C3. 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. C4. 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. C5. 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. C6. 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). C7. 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. C8. 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:
ECE524
ECE799
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