Estimation of continuous flat fading MIMO channels
Multiple-input-multiple-output (MIMO) systems can provide high data rate wireless services in a rich scattering environment. We study one of the proposals for MIMO systems, the Bell Labs Layered Space-Time (BLAST) architecture. Channel estimation using training sequences is required for coherent det...
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Veröffentlicht in: | IEEE transactions on wireless communications 2002-10, Vol.1 (4), p.549-553 |
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creator | Qinfang Sun Cox, D.C. Huang, H.C. Lozano, A. |
description | Multiple-input-multiple-output (MIMO) systems can provide high data rate wireless services in a rich scattering environment. We study one of the proposals for MIMO systems, the Bell Labs Layered Space-Time (BLAST) architecture. Channel estimation using training sequences is required for coherent detection in BLAST. We apply the maximum-likelihood channel estimator and the optimal training sequences for block flat fading channels to continuous flat fading channels and analyze the estimation error. The optimal training length and training interval that maximize the throughput for a given target bit error-rate are found by computer simulations as functions of the Doppler frequency and the number of antennas. |
doi_str_mv | 10.1109/TWC.2002.804178 |
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We study one of the proposals for MIMO systems, the Bell Labs Layered Space-Time (BLAST) architecture. Channel estimation using training sequences is required for coherent detection in BLAST. We apply the maximum-likelihood channel estimator and the optimal training sequences for block flat fading channels to continuous flat fading channels and analyze the estimation error. 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We study one of the proposals for MIMO systems, the Bell Labs Layered Space-Time (BLAST) architecture. Channel estimation using training sequences is required for coherent detection in BLAST. We apply the maximum-likelihood channel estimator and the optimal training sequences for block flat fading channels to continuous flat fading channels and analyze the estimation error. 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We study one of the proposals for MIMO systems, the Bell Labs Layered Space-Time (BLAST) architecture. Channel estimation using training sequences is required for coherent detection in BLAST. We apply the maximum-likelihood channel estimator and the optimal training sequences for block flat fading channels to continuous flat fading channels and analyze the estimation error. The optimal training length and training interval that maximize the throughput for a given target bit error-rate are found by computer simulations as functions of the Doppler frequency and the number of antennas.</abstract><cop>Piscataway, NJ</cop><pub>IEEE</pub><doi>10.1109/TWC.2002.804178</doi><tpages>5</tpages></addata></record> |
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subjects | Applied sciences Channel estimation Channels Computer simulation Detection, estimation, filtering, equalization, prediction Doppler effect Error analysis Estimation error Exact sciences and technology Fading Information, signal and communications theory Maximum likelihood detection Maximum likelihood estimation MIMO Optimization Proposals Scattering Signal and communications theory Signal, noise Telecommunications and information theory Throughput Training Wireless communication |
title | Estimation of continuous flat fading MIMO channels |
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