Title :
A comparative investigation on channel estimation algorithms for OFDM in mobile communications
Author :
Kang, Seog Geun ; Ha, Yong Min ; Joo, Eon Kyeong
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
fDate :
6/1/2003 12:00:00 AM
Abstract :
A comparative investigation on various channel estimation algorithms for OFDM system in the mobile communication environment is presented and analyzed in terms of computational complexity, mean square error, and bit error rate in this paper. As a result, Wiener filter estimation shows the best error performance. Concerning the computational complexity as well as the performance, however, the piecewise linear estimator is considered as a proper choice when the reference signal spacing is relatively narrow. And the cubic-spline estimator is a good alternative to the Wiener filter estimation if the reference signal spacing is wider than the coherent bandwidth of transmission channel.
Keywords :
OFDM modulation; Wiener filters; channel estimation; computational complexity; error statistics; mean square error methods; mobile radio; piecewise linear techniques; splines (mathematics); OFDM; Wiener filter; bit error rate; channel estimation algorithms; computational complexity; cubic-spline estimator; error performance; mean square error; mobile communications; piecewise linear estimator; reference signal spacing; transmission channel coherent bandwidth; Algorithm design and analysis; Bandwidth; Bit error rate; Channel estimation; Computational complexity; Mean square error methods; Mobile communication; OFDM; Piecewise linear techniques; Wiener filter;
Journal_Title :
Broadcasting, IEEE Transactions on
DOI :
10.1109/TBC.2003.810263
