DocumentCode
2489061
Title
Enhanced channel estimation technique in MIMO-OFDM system
Author
Ahmed, M.A. ; Jimaa, S.A. ; Abualhaol, I.Y.
Author_Institution
ECE Dept., Khalifa Univ. of Sci., Technol. & Res., Sharjah, United Arab Emirates
fYear
2012
fDate
8-10 Oct. 2012
Firstpage
545
Lastpage
549
Abstract
Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM), MIMO-OFDM, is considered as a spectrally efficient approach to achieve high throughput communications. This paper investigates the performance of MIMO-OFDM system using the proposed NLMS adaptive equalizer and the developed Singular Value Decomposition (SVD) technique in estimating the channel. The performances of using various values of the NLMS algorithm´s step-size were also investigated and an optimum value, based on a trade-off between the convergence speed and the steady state noise floor, was chosen. Then, the bit error rate (BER) performance of the NLMS adaptive receiver is compared with that of the SVD algorithm. It is clear that the SVD gives better performance over the NLMS adaptive filter.
Keywords
MIMO communication; OFDM modulation; adaptive equalisers; adaptive filters; channel estimation; error statistics; singular value decomposition; BER performance; MIMO-OFDM system; NLMS adaptive equalizer; NLMS adaptive filter; NLMS adaptive receiver; NLMS algorithm step-size; SVD technique; bit error rate performance; enhanced channel estimation technique; high throughput communications; multiple input multiple output system; orthogonal frequency division multiplexing system; singular value decomposition; steady state noise floor; Adaptive filters; Bit error rate; Channel estimation; Convergence; OFDM; Receivers; Vectors; Adaptive Filter; MIMO-OFDM; NLMS; SVD; Step-Size;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless and Mobile Computing, Networking and Communications (WiMob), 2012 IEEE 8th International Conference on
Conference_Location
Barcelona
ISSN
2160-4886
Print_ISBN
978-1-4673-1429-9
Type
conf
DOI
10.1109/WiMOB.2012.6379128
Filename
6379128
Link To Document