Particle Swarm Enhanced Graph-Based Channel Estimation for MIMO-OFDM

Author

Knievel, Christopher ; Hoeher, Peter Adam ; Tyrrell, Alexander ; Auer, Gunther

Author_Institution

Inf. & Coding Theor. Lab., Univ. of Kiel, Kiel, Germany

fYear

2011

fDate

15-18 May 2011

Firstpage

1

Lastpage

5

Abstract

Iterative receiver structures that jointly perform channel estimation and decoding promise substantial performance gains. However, these gains only materialize with sufficiently accurate initial channel estimates. In this paper, initialization by multi-objective particle swarm optimization (MOPSO) is investigated. MOPSO supports low-complexity initial channel estimation with superimposed training symbols. Furthermore, it is shown that MOPSO works well in rank-deficient scenarios with arbitrary training sequences. Numerical results validate the performance enhancement of MOPSO initialization integrated within a graph-based iterative receiver.

Keywords

MIMO communication; OFDM modulation; channel estimation; decoding; iterative methods; particle swarm optimisation; radio receivers; MIMO-OFDM; arbitrary training sequences; decoding; iterative receiver structures; multiobjective particle swarm optimization; multiple-input multiple-output transmission; orthogonal frequency-division multiplexing; particle swarm enhanced graph-based channel estimation; performance enhancement; rank-deficient scenarios; superimposed training symbols; Channel estimation; OFDM; Particle swarm optimization; Receivers; Time frequency analysis; Training; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd

Conference_Location

Yokohama

ISSN

1550-2252

Print_ISBN

978-1-4244-8332-7

Type

conf

DOI

10.1109/VETECS.2011.5956429

Filename

5956429