DocumentCode
2336104
Title
Low Complexity Interference Rejection Combining for MLSE
Author
Hsieh, Frank ; Tan, Jun ; Lopes, Luis
fYear
2011
fDate
15-18 May 2011
Firstpage
1
Lastpage
5
Abstract
Co-channel interference and inter-symbol interference (ISI) are common problems encountered by modern wireless communication systems. To mitigate these challenges, diversity antennas with optimum combining can be used in conjunction with the maximum likelihood sequence estimator (MLSE) to achieve the optimum receiver in a time dispersive propagation environment. We derive a simple multi- antenna MLSE receiver structure that is optimum in diversity combining and equalization given the spatial correlation of the interference and noise. The Viterbi sequence estimation within the multi- antenna receiver has the same complexity as a single-antenna receiver. Since the spatial covariance of the noise is taken into account in the ML sequence estimate, strong co-channel interference can be effectively suppressed. The receiver´s robust interference rejection capability is validated in simulations of the GMSK-modulated GSM signal.
Keywords
cellular radio; cochannel interference; diversity reception; interference suppression; intersymbol interference; maximum likelihood estimation; minimum shift keying; radio receivers; receiving antennas; GMSK-modulated GSM signal; Gaussian MSK; Viterbi sequence estimation; cochannel interference; diversity antennas; diversity combining; interference rejection; intersymbol interference; maximum likelihood sequence estimator; multi-antenna receiver; optimum receiver; spatial covariance; time dispersive propagation environment; wireless communication systems; Diversity reception; Interference; Jamming; Matched filters; Maximum likelihood estimation; Noise; Receivers;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd
Conference_Location
Yokohama
ISSN
1550-2252
Print_ISBN
978-1-4244-8332-7
Type
conf
DOI
10.1109/VETECS.2011.5956642
Filename
5956642
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