DocumentCode :
2137268
Title :
Two novel symbol estimation approaches for wireless systems with ISI and CCI
Author :
Li, Ye
Author_Institution :
Dept. of Wireless Syst. Res., AT&T Labs.-Res., Red Bank, NJ, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1290
Abstract :
Li (see IEEE Transactions on Communications, 1999) has proved that for a multiple receiver system with both co-channel interference (CCI) and intersymbol interference (ISI), CCI suppression and equalization can be treated separately when an optimum spatial-temporal filter is used. Our emphasis here is equalization for wireless system with both CCI and ISI. Two novel equalization approaches, the linear equalizer with joint decisions and the MLSE with noise-domain truncation are proposed. The linear equalizer with joint decisions exploits the noise correlation at the output of the linear equalizer to reduce the probability of symbol decision errors. The noise-domain truncation MLSE has the same complexity as an MLSE with channel truncation, but it has better performance. Computer simulations demonstrate that the two novel equalization approaches can improve the SNR by 1-2 dB
Keywords :
AWGN; cellular radio; cochannel interference; correlation methods; dispersive channels; equalisers; error statistics; fading channels; filtering theory; interference suppression; intersymbol interference; maximum likelihood sequence estimation; radio receivers; spatial filters; AWGN; CCI equalization; CCI suppression; EDGE system; Enhanced Data Rates for GSM Evolution; MLSE; SNR; channel truncation; co-channel interference; complexity; computer simulations; intersymbol interference; joint decisions; linear equalizer; multiple receiver system; noise correlation; noise-domain truncation; noise-domain truncation MLSE; optimum spatial-temporal filter; performance; symbol decision error probability; symbol estimation; wireless systems equalization; Computer errors; Computer simulation; Decision feedback equalizers; Filters; Interchannel interference; Intersymbol interference; Maximum likelihood estimation; Noise reduction; Radiofrequency interference; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st
Conference_Location :
Tokyo
ISSN :
1090-3038
Print_ISBN :
0-7803-5718-3
Type :
conf
DOI :
10.1109/VETECS.2000.851333
Filename :
851333
Link To Document :
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