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Performance evaluation of non‐Gaussian channel estimation techniques on ultrawideband impulse radio channels
Author(s) -
Barton Richard J.,
Daniel Manoj
Publication year - 2007
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.861
Subject(s) - computer science , multipath propagation , gaussian , channel (broadcasting) , additive white gaussian noise , impulse (physics) , impulse response , delay spread , electronic engineering , impulse radio , ultra wideband , algorithm , telecommunications , mathematics , physics , engineering , mathematical analysis , quantum mechanics
Abstract We study the problem of adaptive channel estimation for a multipath channel on an ultrawideband (UWB) impulse radio (IR) system. The purpose of the work is to demonstrate that the statistical characteristics of the UWB‐IR environment are strongly non‐Gaussian and that as a result, non‐Gaussian signal processing techniques are both efficient and powerful in a UWB‐IR environment. The multipath channel estimation problem has been chosen as an illustrative example because UWB‐IR systems often operate in complex multipath environments. We study both blind and training‐based estimation techniques and demonstrate that even simple non‐Gaussian strategies can achieve significant performance improvement when compared to more common second‐order estimation techniques. Copyright © 2006 John Wiley & Sons, Ltd.