A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wireless Communications.

A hybrid adaptive channel equalization technique for quadrature amplitude modulation (QAM) signals is proposed. The proposed algorithm, which is referred to as the modified constant modulus algorithm (MCMA), minimizes an error cost function that includes both amplitude and phase of the equalizer output. In addition to the amplitude-dependent term that is provided by the conventional constant modulus algorithm (CMA), the cost function includes an additive signal constellation matched error (CME) term. This term can be designed to satisfy a set of desirable properties. The MCMA is compared with the CMA for blind equalization. The performance is measured for wireless channels using both transient and steady-state behavior of the mean square error (MSE). It is shown that MCMA is superior and more robust in low signal-to-noise ratio (SNR) environments. Simulation results demonstrate that using MCMA improves adaptive channel equalization by increasing the convergence rate and decreasing the steady-state mean square error.

Main Author: He, Lin.
Other Authors: Amin, Moeness G., Reed, Charles Jr., Malkemes, Robert C.
Language: English
Published: 2004
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173048
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dc_source_str_mv IEEE Transactions on Signal Processing, Volume 52, Number 7, July 2004.
author He, Lin.
author_s He, Lin.
spellingShingle He, Lin.
A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wireless Communications.
author-letter He, Lin.
author_sort_str He, Lin.
author2 Amin, Moeness G.
Reed, Charles Jr.
Malkemes, Robert C.
author2Str Amin, Moeness G.
Reed, Charles Jr.
Malkemes, Robert C.
dc_title_str A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wireless Communications.
title A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wireless Communications.
title_short A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wireless Communications.
title_full A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wireless Communications.
title_fullStr A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wireless Communications.
title_full_unstemmed A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wireless Communications.
collection_title_sort_str hybrid adaptive blind equalization algorithm for qam signals in wireless communications.
title_sort hybrid adaptive blind equalization algorithm for qam signals in wireless communications.
description A hybrid adaptive channel equalization technique for quadrature amplitude modulation (QAM) signals is proposed. The proposed algorithm, which is referred to as the modified constant modulus algorithm (MCMA), minimizes an error cost function that includes both amplitude and phase of the equalizer output. In addition to the amplitude-dependent term that is provided by the conventional constant modulus algorithm (CMA), the cost function includes an additive signal constellation matched error (CME) term. This term can be designed to satisfy a set of desirable properties. The MCMA is compared with the CMA for blind equalization. The performance is measured for wireless channels using both transient and steady-state behavior of the mean square error (MSE). It is shown that MCMA is superior and more robust in low signal-to-noise ratio (SNR) environments. Simulation results demonstrate that using MCMA improves adaptive channel equalization by increasing the convergence rate and decreasing the steady-state mean square error.
publishDate 2004
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dc.title A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wireless Communications.
dc.creator He, Lin.
Amin, Moeness G.
Reed, Charles Jr.
Malkemes, Robert C.
dc.description A hybrid adaptive channel equalization technique for quadrature amplitude modulation (QAM) signals is proposed. The proposed algorithm, which is referred to as the modified constant modulus algorithm (MCMA), minimizes an error cost function that includes both amplitude and phase of the equalizer output. In addition to the amplitude-dependent term that is provided by the conventional constant modulus algorithm (CMA), the cost function includes an additive signal constellation matched error (CME) term. This term can be designed to satisfy a set of desirable properties. The MCMA is compared with the CMA for blind equalization. The performance is measured for wireless channels using both transient and steady-state behavior of the mean square error (MSE). It is shown that MCMA is superior and more robust in low signal-to-noise ratio (SNR) environments. Simulation results demonstrate that using MCMA improves adaptive channel equalization by increasing the convergence rate and decreasing the steady-state mean square error.
dc.date 2004
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dc.source IEEE Transactions on Signal Processing, Volume 52, Number 7, July 2004.
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