Graduate Exam Abstract
October 17, 2011, 10:00am
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
Non-ECE Member: Dr. Haonan Wang, Statistics
Member 3: Dr. Ali Pezeshki, ECE
Addional Members: Dr. Jie Luo, ECE
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: