Title :
A Decision Directed Square-Root Free Inverse QR-Decomposition Based Groupwise Recursive Channel Estimator for SFBC-OFDM Systems
Author :
Muruganathan, Siva D. ; Sesay, Abu B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB
Abstract :
In this paper, a decision directed square-root free inverse QR-decomposition based groupwise recursive (SIQR-GR) channel estimation scheme is proposed for space-frequency block coded orthogonal frequency division multiplexing (SFBC-OFDM) systems. The proposed SIQR-GR channel estimation algorithm employs sequences of scaled Givens rotations to recursively processes data decisions corresponding to the SFBC groups within each OFDM block. As a result of the groupwise recursive processing, the proposed SIQR-GR scheme yields improved system performance under doubly-selective (i.e., frequency- selective and fast fading) channels. To evaluate the performance advantages of SIQR-GR we compare the normalized mean square error (NMSE) and symbol error rate (SER) performances of SIQR-GR to those corresponding to previously proposed channel estimation schemes. Furthermore, we also present computational complexity comparisons between SIQR-GR and the previously proposed schemes. These comparisons show an excellent performance-complexity tradeoff achieved by SIQR-GR over the previously proposed solutions.
Keywords :
OFDM modulation; block codes; channel coding; channel estimation; matrix decomposition; mean square error methods; recursive estimation; SFBC-OFDM system; computational complexity; decision directed square-root free inverse QR-decomposition; doubly-selective channel; groupwise recursive channel estimator; normalized mean square error; space-frequency block coded orthogonal frequency division multiplexing; symbol error rate; Channel estimation; Computational complexity; Decoding; Fading; Frequency estimation; Iterative algorithms; Mean square error methods; OFDM; Recursive estimation; System performance;
Conference_Titel :
Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE
Conference_Location :
Budapest
Print_ISBN :
978-1-4244-2947-9
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2009.4917496