Destination-aware target tracking via syntactic signal processing
Date
2011
Authors
Fanaswala, M.
Krishnamurthy, V.
White, L.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
2011 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings, 2011: pp.3692-3695
Statement of Responsibility
Mustafa Fanaswala, Vikram Krishnamurthy, Langford White
Conference Name
IEEE International Conference on Acoustics, Speech and Signal Processing (36th : 2011 : Prague, Czech Republic)
Abstract
We consider the prediction of a target's destination and simultaneously recover its filtered trajectory. Two novel models for trajectories with known destinations are presented using reciprocal stochastic processes and stochastic context-free grammars. We present a destination-aware syntactic tracker which uses conventional state-space estimates from a legacy tracker to perform prediction and trajectory estimation. We also provide statistical signal processing algorithms for model prediction and maximum likelihood sequence estimation using the proposed trajectory models. Simulation results show that both models considered in the paper have superior estimation performance compared to conventional hidden Markov modeling and can reliably predict the target's destination.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright ©2011 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved.