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