DocumentCode
2892964
Title
Hybrid M-ary detection in target tracking
Author
Sworder, D.D. ; Boyd, J.E. ; Hutchins, R.G. ; Elliott, R.J.
Author_Institution
Dept. of ECE, California Univ., San Diego, La Jolla, CA, USA
Volume
2
fYear
2003
fDate
9-12 Nov. 2003
Firstpage
2255
Abstract
Synthesis procedures using the methods of hidden-Markov-models are well understood and frequently used in the design of M-ary detectors. However, in some applications there is a supplemental signal that can be used to enhance detection. The structure of detectors that utilize this complementary information is more difficult to determine. This paper presents a hybrid detector that is shown to perform better than the conventional algorithm over a wide range of noise levels.
Keywords
error statistics; hidden Markov models; signal detection; target tracking; hidden-Markov-model; hybrid M-ary detector design; target tracking; Artificial intelligence; Detectors; Error analysis; Hidden Markov models; Markov processes; Noise level; Signal design; Signal processing; Signal synthesis; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN
0-7803-8104-1
Type
conf
DOI
10.1109/ACSSC.2003.1292381
Filename
1292381
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