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conference paper
Tracking of linear time-variant systems
1995
Conference Record on the IEEE Military Communications Conference, 1995. MILCOM'95
In this paper we exploit the one-to-one correspondences between the recursive least-squares (RLS) and Kalman variables to formulate extended forms of the RLS algorithm. Two particular forms are considered, one pertaining to a system identification problem and the other to the tracking of a chirped sinusoid in additive noise. For both applications, experiments are presented that demonstrate the tracking optimality of the extended RLS algorithms, compared with the standard RLS and least-mean-squares (LMS) algorithms.
Type
conference paper
Authors
Publication date
1995
Published in
Conference Record on the IEEE Military Communications Conference, 1995. MILCOM'95
Volume
2
Start page
602
End page
606
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
San Diego, CA, USA | November 5-8, 1995 | |
Available on Infoscience
December 19, 2017
Use this identifier to reference this record