Automatic Tuning of the Step size in WLMS Algorithms:
Applications to EDGE.
IEEE Vehicular Technology Conference - VTC'02-Fall
, Vancouver, BC, Canada, Sept. 24-28 2002,
© 2002 IEEE
Adaptation laws that estimate time-varying
communication channels can be tuned for
efficient tracking, by adjusting filters and
gains within their structure.
However, this requires
knowledge of statistical properties
that may be poorly known or time-varying.
A possible approach is then
to adjust the gains of the
adaptation law adaptively.
The Wiener LMS adaptation algorithm (WLMS)
attains efficient tracking by incorporating
filters that are attuned to the fading statistics.
It includes a gain parameter that will here
be adjusted adaptively on line.
A WLMS channel predictor with adaptively adjusted
gain is then evaluated as a component of
receivers for EDGE systems, which use
delayed decision feedback sequence estimation.
The channel variations
for such cases have a wide variety of properties
that are tracked by gain adaptation.
of the general constant-gain adaptation algorithms.
(IEEE SP 2002.)
of stability and performance, for slow and fast variations.
The Wiener LMS
adaptation algorithm, a special case with low complexity.
(IEEE COM 2001)
A Case Study on IS-136 channels.
(IEEE COM 2002)
PhD Thesis by Lars Lindbom.
of adaptation laws with constant gains. (IFAC Como 2001).
Poster, Pdf, 849K