The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans cette lettre, l'algorithme de récupération clairsemé, la poursuite de correspondance orthogonale (OMP) et la poursuite de sous-espace (SP) sont appliqués pour l'estimation du canal MIMO OFDM. Un nouvel algorithme nommé SOMP est proposé, qui combine les avantages de l'OMP et du SP. Les résultats de simulation basés sur le modèle de canal spatial (SCM) 3GPP démontrent que SOMP fonctionne mieux que OMP et SP en termes d'erreur quadratique moyenne normalisée (NMSE).
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Chenhao QI, Lenan WU, "Sparse Recovery Algorithms for Pilot Assisted MIMO OFDM Channel Estimation" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 5, pp. 1313-1316, May 2010, doi: 10.1587/transcom.E93.B.1313.
Abstract: In this letter, the sparse recovery algorithm orthogonal matching pursuit (OMP) and subspace pursuit (SP) are applied for MIMO OFDM channel estimation. A new algorithm named SOMP is proposed, which combines the advantage of OMP and SP. Simulation results based on 3GPP spatial channel model (SCM) demonstrate that SOMP performs better than OMP and SP in terms of normalized mean square error (NMSE).
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.1313/_p
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@ARTICLE{e93-b_5_1313,
author={Chenhao QI, Lenan WU, },
journal={IEICE TRANSACTIONS on Communications},
title={Sparse Recovery Algorithms for Pilot Assisted MIMO OFDM Channel Estimation},
year={2010},
volume={E93-B},
number={5},
pages={1313-1316},
abstract={In this letter, the sparse recovery algorithm orthogonal matching pursuit (OMP) and subspace pursuit (SP) are applied for MIMO OFDM channel estimation. A new algorithm named SOMP is proposed, which combines the advantage of OMP and SP. Simulation results based on 3GPP spatial channel model (SCM) demonstrate that SOMP performs better than OMP and SP in terms of normalized mean square error (NMSE).},
keywords={},
doi={10.1587/transcom.E93.B.1313},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Sparse Recovery Algorithms for Pilot Assisted MIMO OFDM Channel Estimation
T2 - IEICE TRANSACTIONS on Communications
SP - 1313
EP - 1316
AU - Chenhao QI
AU - Lenan WU
PY - 2010
DO - 10.1587/transcom.E93.B.1313
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2010
AB - In this letter, the sparse recovery algorithm orthogonal matching pursuit (OMP) and subspace pursuit (SP) are applied for MIMO OFDM channel estimation. A new algorithm named SOMP is proposed, which combines the advantage of OMP and SP. Simulation results based on 3GPP spatial channel model (SCM) demonstrate that SOMP performs better than OMP and SP in terms of normalized mean square error (NMSE).
ER -