DocumentCode :
3416880
Title :
On LMMSE bias in CDMA SIMO/MIMO receivers
Author :
Ghauri, Irfan ; Shenoy, Shakti P. ; Slock, Dirk T M
Author_Institution :
Infineon Technol. France GAIA, Sophia Antipolis
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
2937
Lastpage :
2940
Abstract :
We revisit CDMA downlink receivers (RX) based on linear minimum mean-square error (LMMSE) chip-equalizer front-end followed by a Walsh code correlator for single-input-single (multi)- output (SISO or SIMO) channels with the purpose of highlighting the non-trivial question of bias in the output of the equalizer. In a linear time-invariant channel, this bias is constant at chip-equalizer output, but evolves over time at code correlator output impacting Signal-to-Interference-plus-noise ratio (SINR) and thus achievable rates in such receivers. In principle, this bias must be taken into account in further RX/decoding stages even if its impact is small. It is shown that a new class of maximum-likelihood (ML) RX leading to potential performance gains is obtained when properly accounting for symbol-level bias across a set of user codes. These results are extended to the multi-input-multi-output (MIMO) case of UMTS high-speed downlink packet access (HSDPA).
Keywords :
3G mobile communication; MIMO communication; code division multiple access; interference (signal); mean square error methods; radio receivers; wireless channels; CDMA downlink receiver; UMTS high-speed downlink packet access; Walsh code correlator; chip-equalizer front-end; linear minimum mean-square error; linear time-invariant channel; maximum likelihood; multi-input-multi-output channel; signal-to-interference-plus-noise ratio; single-input-multi-output channel; single-input-single-output channel; 3G mobile communication; Correlators; Downlink; Equalizers; Finite impulse response filter; MIMO; Maximum likelihood decoding; Multiaccess communication; Performance gain; Signal to noise ratio; CDMA; LMMSE Bias; MIMO; Maximum Likelihood; SINR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4518265
Filename :
4518265
Link To Document :
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