Title :
Modified Orthogonal Matching Pursuit for MISO Channel Estimation in DVB-T2
Author_Institution :
Telecommun. Res. Lab., Toshiba Res. Eur. Ltd., Bristol, UK
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;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2013.111113.130722
