Iterative Decoding, Offset and Channel Estimation for OFDM using the Unscented Kalman Filter

Author

Kang, Taehyuk ; Iltis, Ronald A.

Author_Institution

Univ. of California, Santa Barbara

fYear

2007

fDate

4-7 Nov. 2007

Firstpage

1728

Lastpage

1732

Abstract

An iterative decoding and estimation algorithm for OFDM is presented for time-varying fading channels with unknown carrier frequency offset (CFO). The unscented Kalman filter (UKF) is applied to obtain accurate joint estimates of CFO and multipath channel coefficients. A new unscented Inverse covariance filter is also developed, which reduces the computational complexity of the filter by appropriate approximations to the covariance matrices. The UKF and LDPC code decoder are then combined in an iterative structure. Simulation results are provided for high speed mobile environments under the IEEE 802.16 OFDM standard.

Keywords

Kalman filters; OFDM modulation; approximation theory; channel estimation; covariance analysis; iterative decoding; multipath channels; parity check codes; LDPC code decoder; OFDM; approximation theory; carrier frequency offset; computational complexity; covariance matrix; iterative decoding; mobile environment; multipath channel coefficient; time-varying fading channel estimation; unscented Kalman filter; unscented inverse covariance filter; Channel estimation; Computational complexity; Covariance matrix; Fading; Filters; Frequency estimation; Iterative algorithms; Iterative decoding; Multipath channels; OFDM;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

978-1-4244-2109-1

Electronic_ISBN

1058-6393

Type

conf

DOI

10.1109/ACSSC.2007.4487528

Filename

4487528