Modified Orthogonal Matching Pursuit for MISO Channel Estimation in DVB-T2

Author

Sandell, Magnus

Author_Institution

Telecommun. Res. Lab., Toshiba Res. Eur. Ltd., Bristol, UK

Volume

17

Issue

12

fYear

2013

fDate

41609

Firstpage

2249

Lastpage

2251

Abstract

Channel estimation in OFDM-based systems, such as DVB-T2, can be performed with compressed sensing techniques since the channel frequency response can be considered a sparse signal. In this paper we present a novel modification to the orthogonal matching pursuit algorithm which avoids illconditioned (partial) DFT matrices and hence mitigates noise enhancements. Simulations for MISO in DVB-T2 show that it can offer substantial performance gains at a modicum of increased complexity.

Keywords

MIMO communication; OFDM modulation; channel estimation; compressed sensing; digital video broadcasting; discrete Fourier transforms; iterative methods; matrix algebra; time-frequency analysis; DVB-T2; MISO channel estimation; OFDM-based system; channel frequency response; compressed sensing technique; discrete Fourier transform; illconditioned DFT matrices; modified orthogonal matching pursuit algorithm; multiple-input single-output; noise enhancement mitigation; sparse signal; Channel estimation; Compressed sensing; Digital video broadcasting; Estimation; Matching pursuit algorithms; Noise; OFDM; MIMO; OFDM; channel estimation; compressed sensing; digital video broadcasting; matching pursuit algorithms;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2013.111113.130722

Filename

6663757