DocumentCode
3416055
Title
Optimum combining systems in the presence of Rician facing: SINR and capacity analysis
Author
Louie, Raymond H.Y. ; McKay, Matthew R. ; Collings, Iain B.
Author_Institution
Sch. of Electr. & Inf. Eng., Sydney Univ., Sydney, NSW
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
2745
Lastpage
2748
Abstract
This paper analyzes the performance of adaptive antenna arrays employing linear combining techniques designed to maximize the SINR. In the communications literature, these systems are referred to as optimum combining (OC) systems. We consider the practical case where the desired signal undergoes Rician fading, and is corrupted by Rayleigh-faded interfering signals and noise. We first propose new closed-form gamma approximations for the SINR distribution at the output of the OC combiner, which we show to be remarkably accurate. We then employ these approximations to derive new closed-form expressions for the ergodic capacity and simplified expressions for the high-SNR regime. These results reveal that the capacity improves monotonically with Rician K-factor.
Keywords
Rayleigh channels; Rician channels; adaptive antenna arrays; channel capacity; cochannel interference; gamma distribution; interference suppression; Rayleigh-faded interfering signals; Rician fading; SINR; adaptive antenna arrays; capacity analysis; ergodic capacity; gamma approximations; linear combining techniques; optimum combining systems; Adaptive arrays; Design engineering; Information analysis; Interference; Linear antenna arrays; Mobile antennas; Performance analysis; Receiving antennas; Rician channels; Signal to noise ratio; Signal processing antennas; adaptive arrays; cochannel interference; interference suppression; land mobile radio cellular systems;
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.2008.4518217
Filename
4518217
Link To Document