DocumentCode :
1303560
Title :
Linear Receiver for the Uplink in Distributed Antenna Systems
Author :
Yang, Jun ; Kim, Il-Min ; Kim, Dong In ; Chan, Francois
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, ON, Canada
Volume :
11
Issue :
11
fYear :
2012
fDate :
11/1/2012 12:00:00 AM
Firstpage :
4161
Lastpage :
4171
Abstract :
We consider the uplink of a distributed antenna system (DAS) in the presence of interference and unknown oscillator offsets, which lead to synchronization errors. For this scenario, we develop a linear receiver which maximizes the output signal-to-interference-plus-noise ratio (SINR). Specifically, we first propose a new structured generalized sidelobe canceller (SGSC) formulation for the commonly used minimum-variance receiver, and derive a general framework to improve the robustness of a linear receiver when oscillator offsets exist. Then a new linear receiver is proposed in closed-form based on the proposed robust SGSC and a ridge regression technique. It is shown by simulations that the proposed linear receiver can provide very robust SINR performance and excellent symbol error rate (SER) performance in the existence of interference and unknown oscillator offsets.
Keywords :
antennas; error statistics; interference suppression; radio receivers; DAS; SGSC formulation; distributed antenna systems; excellent SER performance; excellent symbol error rate performance; interference; linear receiver; minimum-variance receiver; oscillator offsets; output SINR; output signal-to-interference-plus-noise ratio; ridge regression technique; structured generalized sidelobe canceller formulation; synchronization errors; Interference; Oscillators; Receivers; Robustness; Signal to noise ratio; Synchronization; Vectors; Distributed antenna systems; linear receiver; oscillator offsets; synchronization error;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2012.092112.120405
Filename :
6317111
Link To Document :
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