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
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;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN :
0-7803-8104-1
DOI :
10.1109/ACSSC.2003.1292381
