A nonlinear estimation algorithm and its optical implementation for target tracking in clutter environment

The two-dimensional tracking problem in a clutter environment is solved in the-discrete-time Bayes optimal (nonlinear, and non-Gaussian) estimation framework. The proposed method recursively finds the probability density functions of the target position and velocity. With our approach, the nonlinear estimation problem is converted into simpler linear convolution operations that can be implemented with optical devices efficiently. We present a possible optical implementation architecture, and its functionality is, verified through computer simulation.
Publisher
INST PURE APPLIED PHYSICS
Issue Date
2003-02
Language
ENG
Keywords

OBJECTS

Citation

JAPANESE JOURNAL OF APPLIED PHYSICS PART 1-REGULAR PAPERS SHORT NOTES & REVIEW PAPERS, v.42, no.2, pp.466 - 470

ISSN
0021-4922
URI
http://hdl.handle.net/10203/84599
Appears in Collection
EE-Journal Papers(저널논문)
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