A Robust Channel Estimator for High-Mobility STBC-OFDM Systems

Chen, Hsiao-Yun; Ku, Meng‐Lin; Jou, Shyh-Jye; Huang, Chih-Cheng

doi:10.1109/tcsi.2009.2027629

Cited by 13 publications

(1 citation statement)

References 17 publications

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“…Channel estimation is crucial to the performance of MIMO-OFDM systems and has therefore attracted much attention since the pioneering work was introduced in [13]. More work was done later in [14,15] for STBC-OFDM and recently for SFBC-OFDM [12,16]. Amongst the proposed methods, DFT based channel estimation using maximum likelihood (ML) decoding in OFDM systems that utilize preamble sequence [17], and minimum mean square error (MMSE) channel estimators [18,19] have become popular.…”

Section: Introductionmentioning

confidence: 99%

Efficient space–frequency block coded pilot‐aided channel estimation method for multiple‐input–multiple‐output orthogonal frequency division multiplexing systems over mobile frequency‐selective fading channels

2014

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Section: Introductionmentioning

confidence: 99%

Efficient space–frequency block coded pilot‐aided channel estimation method for multiple‐input–multiple‐output orthogonal frequency division multiplexing systems over mobile frequency‐selective fading channels

2014

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Implementation of Fast, Adaptive, Optimized Blind Channel Estimation for Multimodal MIMO‐OFDM Systems Using MFPA

Nandi¹,

Pathak

Nandi

2021

Intelligent Multi‐modal Data Processing

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Decision-Directed Channel Estimation Implementation for Spectral Efficiency Improvement in Mobile MIMO-OFDM

Ketonen

Juntti

Ylioinas

et al. 2013

J Sign Process Syst

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Channel estimation algorithms and their implementations for mobile receivers are considered in this paper. The 3GPP long term evolution (LTE) based pilot structure is used as a benchmark in a multiple-input multipleoutput (MIMO) orthogonal frequency division multiplexing (OFDM) receiver. The decision directed (DD) spacealternating generalized expectation-maximization (SAGE) algorithm is used to improve the performance from that of the pilot symbol based least-squares (LS) channel estimator. The performance is improved with high user velocities, where the pilot symbol density is not sufficient. Minimum mean square error (MMSE) filtering is also used in estimating the channel in between pilot symbols. The pilot overhead can be reduced to a third of the LTE pilot overhead with DD channel estimation, obtaining a ten percent increase in data throughput. Complexity reduction and latency issues are considered in the architecture design. The pilot based LS, MMSE and the SAGE channel estimators are implemented with a high level synthesis tool, synthesized with the UMC 0.18 μm CMOS technology and the performance-complexity trade-offs are studied. The MMSE estimator improves the performance from the simple LS estimator with LTE pilot structure and has low power consumption. The SAGE estimator has high power consumption but can be used with reduced pilot density to increase the data rate.

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A Robust Channel Estimator for High-Mobility STBC-OFDM Systems

Cited by 13 publications

References 17 publications

Efficient space–frequency block coded pilot‐aided channel estimation method for multiple‐input–multiple‐output orthogonal frequency division multiplexing systems over mobile frequency‐selective fading channels

Efficient space–frequency block coded pilot‐aided channel estimation method for multiple‐input–multiple‐output orthogonal frequency division multiplexing systems over mobile frequency‐selective fading channels

Implementation of Fast, Adaptive, Optimized Blind Channel Estimation for Multimodal MIMO‐OFDM Systems Using MFPA

Decision-Directed Channel Estimation Implementation for Spectral Efficiency Improvement in Mobile MIMO-OFDM

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