Publications [#338928] of Lawrence Carin

Papers Published

1. Ji, S; Liao, X; Carin, L, Adaptive multiaspect target classification and detection with hidden Markov models, IEEE Sensors Journal, vol. 5 no. 5 (October, 2005), pp. 1035-1042, Institute of Electrical and Electronics Engineers (IEEE) [JSEN.2005.847936], [doi]
   (last updated on 2024/12/31)

   Abstract:
   Target detection and classification are considered based on backscattered signals observed from a sequence of target-sensor orientations, with the measurements performed as a function of orientation (angle) at a fixed range. The theory of optimal experiments is applied to adaptively optimize the sequence of target-sensor orientations considered. This is motivated by the fact that if fewer, better-chosen measurements are used then targets can be recognized more accurately with less time and expense. Specifically, based on the previous sequence of observations Ot = {O1,..., Ot}, the technique determines what change in relative target-sensor orientation Δθt+1 is optimal for performing measurement t + 1, to yield observation Ot+1. The target is assumed distant or hidden, and, therefore, the absolute target-sensor orientation is unknown. We detail the adaptive-sensing algorithm, employing a hidden Markov model representation of the multiaspect scattered fields, and example classification and detection results are presented for underwater targets using acoustic scattering data. © 2005 IEEE.

   Keywords:
   Adaptive systems;Markov processes;Mathematical models;Backscattering;Algorithms;Optimal control systems;