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- W126048603 abstract "OF THE DISSERTATION Multiple-Target Tracking in Complex Scenarios by Srinivas Phani Kumar Chavali Doctor of Philosophy in Electrical Engineering Washington University in St. Louis, December 2013 Professor Arye Nehorai, Chair In this dissertation, we develop computationally efficient algorithms for multipletarget tracking (MTT) in complex scenarios. For each of these scenarios, we develop measurement and state-space models, and then exploit the structure in these models to propose efficient tracking algorithms. In addition, we address design issues such as sensor selection and resource allocation. First, we consider MTT when the targets themselves are moving in a time-varying multipath environment. We develop a sparse-measurement model that allows us to exploit the inherent joint delay-Doppler diversity offered by the environment. We then reformulate the problem of MTT as a block-support recovery problem using the sparse measurement model. We exploit the structure of the dictionary matrix to develop a computationally efficient block support recovery algorithm (and thereby a multipletarget tracking algorithm) under the assumption that the channel state describing the time-varying multipath environment is known. Further, we also derive an upper bound on the overall error probability of wrongly identifying the support of the sparse" @default.
- W126048603 created "2016-06-24" @default.
- W126048603 creator A5045191852 @default.
- W126048603 date "2013-01-01" @default.
- W126048603 modified "2023-09-23" @default.
- W126048603 title "Multiple-Target Tracking in Complex Scenarios" @default.
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