A hybrid CME-LS channel estimation approach for broadband MIMO-OFDM systems

Author

Lu, Zhen ; Kadi, Anthony ; Aubrey, Tim

Author_Institution

Sch. of Comput. & Commun., Univ. of Technol., Sydney, NSW, Australia

fYear

2009

fDate

28-30 Sept. 2009

Firstpage

313

Lastpage

318

Abstract

A channel estimation approach yielding both channel gains and the number of multi-paths is presented. The algorithm is based on a variation of conditional model order estimation (CME), and is proposed for MIMO-OFDM systems. The CME based estimator is shown to be viable in both fixed and mobile broadband MIMO-OFDM wireless applications, and takes advantage of determining the nonzero taps as well. The performance of the approach is compared to the popular minimum description length (MDL) algorithm for estimation of the number of channel paths, by means of simulation in the context of a 2times2 MIMO-OFDM transceiver system. Results indicate that the new algorithm is superior in channel order estimation to the MDL algorithm in MMO-OFDM system over a noisy frequency selective fading channel.

Keywords

MIMO communication; OFDM modulation; broadband networks; channel estimation; least squares approximations; mobile radio; multipath channels; wireless channels; CME-LS channel estimation approach; MDL algorithm; MIMO-OFDM transceiver system; conditional model order estimation; least square estimation; minimum description length; mobile broadband MIMO-OFDM wireless system; multipath channel; noisy frequency selective fading channel; orthogonal frequency division multiplexing; Channel estimation; Computational complexity; Degradation; Diversity reception; Fading; Frequency estimation; Maximum likelihood estimation; OFDM; Receiving antennas; System performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Information Technology, 2009. ISCIT 2009. 9th International Symposium on

Conference_Location

Icheon

Print_ISBN

978-1-4244-4521-9

Electronic_ISBN

978-1-4244-4522-6

Type

conf

DOI

10.1109/ISCIT.2009.5341235

Filename

5341235