DocumentCode :
3141776
Title :
Approximate average eigenvalues of a random matrix and their application to LMMSE receiver analysis
Author :
Shekhar, H. ; Ingram, M.A.
Author_Institution :
ArrayComm LLC, San Jose
fYear :
2008
fDate :
22-24 Jan. 2008
Firstpage :
571
Lastpage :
574
Abstract :
This paper gives an approximate closed form expression (CFE) for the average eigenvalues of a random interference covariance matrix. The approximate CFEs derived in this paper are then used to obtain simple CFEs for the cumulative distribution function (CDF) of the signal-to- interference-plus-noise ratio (SINR) and the average of the bit error rate (ABER) of a linear minimum mean squared error receiver in a flat fading channel. Transmissions from one desired and two interfering users are considered. All the three users are allowed to have different average powers at the receiver.
Keywords :
covariance matrices; eigenvalues and eigenfunctions; error statistics; fading channels; least mean squares methods; radio receivers; CDF; LMMSE receiver analysis; SINR; approximate average eigenvalues; average of the bit error rate; closed form expression; cumulative distribution function; flat fading channel; linear minimum mean squared error receiver; random interference covariance matrix; random matrix; signal-to-interference-plus-noise ratio; Array signal processing; Bit error rate; Covariance matrix; Distribution functions; Eigenvalues and eigenfunctions; Fading; Interference; Laplace equations; Receiving antennas; Signal to noise ratio; ABER; CDF; LMMSE; SINR; Wishart matrix; beamforming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio and Wireless Symposium, 2008 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1462-8
Type :
conf
DOI :
10.1109/RWS.2008.4463556
Filename :
4463556
Link To Document :
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