DocumentCode :
2944803
Title :
Optimization of the observer motion using dynamic programming
Author :
Le Cadre, J.-P. ; Trémois, Olivier
Author_Institution :
CNRS, IRISA, Rennes, France
Volume :
5
fYear :
1995
fDate :
9-12 May 1995
Firstpage :
3567
Abstract :
Classical bearings-only target motion analysis (TMA) are restricted to constant motion parameters (usually: position and velocity). However most of the interesting sources have maneuvering abilities, degrading, thus, dramatically the TMA performance. A basic idea consists of modelling the states of the source by a hidden Markov model (HMM). The main point is then to optimize the observer trajectory using methods derived from the general theory of dynamic programming
Keywords :
direction-of-arrival estimation; dynamic programming; hidden Markov models; motion estimation; optimisation; HMM; bearings-only target motion analysis; constant motion parameters; dynamic programming; hidden Markov model; target motion analysis; Degradation; Dynamic programming; Hidden Markov models; Motion analysis; Motion estimation; Observers; Optimization methods; Sonar; State estimation; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
ISSN :
1520-6149
Print_ISBN :
0-7803-2431-5
Type :
conf
DOI :
10.1109/ICASSP.1995.479757
Filename :
479757
Link To Document :
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