DocumentCode
1900619
Title
Beamforming with imperfect channel knowledge: performance degradation analysis based on perturbation theory
Author
Navarro, Monica ; Grant, Alex
Author_Institution
Centre Tecnologic de Telecomunicacions de Catalunya, Barcelona, Spain
fYear
2004
fDate
18-21 July 2004
Firstpage
518
Lastpage
522
Abstract
We analyses the performance degradation of beamforming due to imperfect channel knowledge based on eigenvector perturbation theory. Easily computable approximations are given for the average signal to noise ratio loss when an estimate of the channel is available. The performance degradation of imperfect beamforming is then later assessed for LMMSE channel estimation taking into consideration power constraints.
Keywords
array signal processing; channel estimation; constraint theory; eigenvalues and eigenfunctions; least mean squares methods; perturbation theory; LMMSE channel estimation; computable approximation; eigenvector perturbation theory; imperfect beamforming; imperfect channel knowledge; performance degradation analysis; power constraint; Array signal processing; Australia; Covariance matrix; Degradation; Feedback; Lakes; Performance analysis; Performance loss; Signal to noise ratio; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2004
Print_ISBN
0-7803-8545-4
Type
conf
DOI
10.1109/SAM.2004.1503002
Filename
1503002
Link To Document