Modified orthogonal matching pursuit for MISO channel estimation in DVB-T2
M Sandell - IEEE communications letters, 2013 - ieeexplore.ieee.org
M Sandell
IEEE communications letters, 2013•ieeexplore.ieee.orgChannel 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.
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.
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.
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