DocumentCode :
321329
Title :
Low complexity parameter estimation approach for fast time-delay estimation
Author :
Carlemairn, C. ; Halvarsson, S. ; Wahlberg, B.
Author_Institution :
Dept. of Signals, Sensors & Syst., R. Inst. of Technol., Stockholm, Sweden
Volume :
2
fYear :
1997
fDate :
10-12 Dec 1997
Firstpage :
1603
Abstract :
Presents algorithms for time-delay estimation based on a parametric approach. The suggested methods combine an exhaustive search with a low complexity since they do not require filtering or correlation computations. Consequently, the problems with local minima of gradient search algorithms are avoided. The proposed detection schemes are experimentally verified by way of computer simulations. Furthermore, receiver operator characteristics are presented
Keywords :
Kalman filters; computational complexity; delays; filtering theory; parameter estimation; search problems; signal processing; transient response; detection schemes; exhaustive search; fast time-delay estimation; low complexity parameter estimation approach; parametric approach; receiver operator characteristics; Automatic control; Computational complexity; Computer simulation; Convergence; Delay effects; Delay estimation; Filtering; Finite impulse response filter; Parameter estimation; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
ISSN :
0191-2216
Print_ISBN :
0-7803-4187-2
Type :
conf
DOI :
10.1109/CDC.1997.657729
Filename :
657729
Link To Document :
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