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| Publications [#338896] of Lawrence Carin
Papers Published
- Ji, S; Parr, R; Carin, L, Nonmyopic multiaspect sensing with partially observable Markov decision processes,
IEEE Transactions on Signal Processing, vol. 55 no. 6 I
(June, 2007),
pp. 2720-2730, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-587X [doi]
(last updated on 2024/12/31)
Abstract: We consider the problem of sensing a concealed or distant target by interrogation from multiple sensors situated on a single platform. The available actions that may be taken are selection of the next relative target-platform orientation and the next sensor to be deployed. The target is modeled in terms of a set of states, each state representing a contiguous set of target-sensor orientations over which the scattering physics is relatively stationary. The sequence of states sampled at multiple target-sensor orientations may be modeled as a Markov process. The sensor only has access to the scattered fields, without knowledge of the particular state being sampled, and, therefore, the problem is modeled as a partially observable Markov decision process (POMDP). The POMDP yields a policy, in which the belief state at any point is mapped to a corresponding action. The nonmyopic policy is compared to an approximate myopic approach, with example results presented for measured underwater acoustic scattering data. © 2007 IEEE.
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