NDLI: Co-channel interference canceller for interleaved coded modulation in the presence of intersymbol interference

Content Provider	IEEE Xplore Digital Library
Author	Murata, H. Yoshida, S.
Copyright Year	1998
Description	Author affiliation: Dept. of Electron. & Commun., Kyoto Univ., Japan (Murata, H.)
Abstract	Co-channel interference is a major impairment limiting the capacity of cellular radio systems. In order to mitigate its effect, a trellis-coded co-channel interference canceller (TCC) has been proposed which makes use of trellis-coded modulation (TCM) in resolving the ambiguity that has been a problem with the conventional approach. This canceller uses TCM with maximum-likelihood sequence estimation (MLSE) of both the desired signal and co-channel interference, and outperforms conventional cancellers over static channels. In flat fading channels, however, the performance improvement owing to TCM cannot be obtained due to burst errors. An effective method for dealing with burst error channels is to interleave the coded data. In this paper, a novel algorithm which incorporates a block interleaving into the TCC is proposed to offer increased interference suppression capability over flat Rayleigh fading channels. This algorithm is a combination of interference cancellation, equalization, TCM decoding and deinterleaving, and also can be combined with a channel estimation technique. The BER performance of this algorithm is evaluated through computer simulations.
Starting Page	1636
Ending Page	1640
File Size	553744
Page Count	5
File Format	PDF
ISBN	0780343204
ISSN	10903038
DOI	10.1109/VETEC.1998.686567
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interchannel interference Interference cancellation Modulation coding Maximum likelihood estimation Fading Land mobile radio cellular systems Signal resolution Interleaved codes Interference suppression Maximum likelihood decoding
Content Type	Text
Resource Type	Article

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