DocumentCode :
341532
Title :
Variable rank receiver structures for low-rank space-time channels
Author :
Giancola, D. ; Sanguanini, A. ; Spagnolini, U.
Author_Institution :
D.E.I., Politecnico di Milano, Italy
Volume :
1
fYear :
1999
fDate :
36342
Firstpage :
65
Abstract :
MMLSE is known to be the most suitable approach for space-time (S-T) receivers that requires the knowledge of the S-T channel response. In general we do not have the knowledge neither of the channel H nor of co-channel interference´s (CCI) statistics, these have to be estimated by using training sequences. When short data preambles are available the large variance of the unconstrained estimate of the multichannel H can heavily affect the achievable performance. This paper illustrates the advantages of a low rank truncation of the whitened channel in a mobile radio scenario where the S-T diversity of the channel is almost limited. The benefits achievable with this class of low-rank receivers are the reduction the variance of the multichannel response estimate and the lower complexity compared to a full-rank solution. The performances in realistic scenarios demonstrate the advantages compared to conventional receivers
Keywords :
adaptive estimation; cellular radio; cochannel interference; interference suppression; maximum likelihood detection; multiuser channels; radio receivers; space division multiple access; CCI rejection; CCI statistics; DCS system; GSM; MMLSE; SDMA; adaptive reduced rank MLSE; channel response; co-channel interference; low rank truncation; low-rank receivers; low-rank space-time channels; maximum likelihood sequence detectors; mobile radio; multichannel response estimate; performance; short data preambles; space division multiple access; space-time diversity; space-time receivers; training sequences; unconstrained estimate; variable rank receiver structures; whitened channel; Antenna arrays; Base stations; Gaussian noise; Land mobile radio; Maximum likelihood detection; Radiofrequency interference; Receivers; Receiving antennas; Sampling methods; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 1999 IEEE 49th
Conference_Location :
Houston, TX
ISSN :
1090-3038
Print_ISBN :
0-7803-5565-2
Type :
conf
DOI :
10.1109/VETEC.1999.778017
Filename :
778017
Link To Document :
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