DocumentCode
1629620
Title
MIMO Channel - Symbol Estimation Duality
Author
Vergara, Victor M. ; Barbin, Silvio E. ; Jordan, Ramiro
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM
fYear
2006
Firstpage
1
Lastpage
4
Abstract
This paper presents a novel method to estimate the channel matrix of MIMO systems. It uses the same mathematical framework that is employed for symbol estimation, when precoders and decoders are used. This was made possible, after the proof that channel and symbol estimation are dual problems. The duality channel-symbol estimation proved to be a very powerful tool for channel estimation. Two examples are presented to illustrate the duality: one using SVD decomposition and another one using optimal precoder and decoder. For the last one, dimension reduction is illustrated and numerical results are given.
Keywords
MIMO communication; channel coding; channel estimation; decoding; precoding; singular value decomposition; wireless channels; MIMO channel; SVD decomposition; channel matrix estimation; decoders; duality channel-symbol estimation; multiple input multiple output systems; precoders; singular value decomposition; Channel estimation; Communication systems; Control systems; Covariance matrix; Decoding; MIMO; Matrix decomposition; Mean square error methods; Optimization methods; Telecommunication control;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
Conference_Location
Montreal, Que.
Print_ISBN
1-4244-0062-7
Electronic_ISBN
1-4244-0063-5
Type
conf
DOI
10.1109/VTCF.2006.132
Filename
4109397
Link To Document