Subband array implementations for space-time adaptive processing.

Intersymbol interference (ISI) and cochannel interference (CCI) are two primary sources of signal impairment inmobile communications. In order to suppress both ISI and CCI, space-time adaptive processing (STAP) has been shown to be effective in performing spatio-temporal equalization, leading to increased communication capacity as well as improved quality of service. The high complexity and slow convergence, however, often impede practical STAP implementations. Several subband array structures have been proposed as alternatives to STAP. These structures provide optimal or suboptimal steady-state performance with reduced implementation complexity and improved convergence performance. The purpose of this paper is to investigate the steady-state performance of subband arrays with centralized and localized feedback schemes, using different decimation rates. Analytical expressions of the minimum mean-square error (MMSE) performance are derived. The analysis assumes discrete Fourier transform (DFT)-based subband arrays and considers both unconstrained and constrained weight adaptations.

Main Author: Zhang, Yimin.
Other Authors: Yang, Kehu., Amin, Moeness G.
Language: English
Published: 2005
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173672
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dc_source_str_mv EURASIP Journal on Applied Signal Processing, January 2005.
author Zhang, Yimin.
author_s Zhang, Yimin.
spellingShingle Zhang, Yimin.
Subband array implementations for space-time adaptive processing.
author-letter Zhang, Yimin.
author_sort_str Zhang, Yimin.
author2 Yang, Kehu.
Amin, Moeness G.
author2Str Yang, Kehu.
Amin, Moeness G.
dc_title_str Subband array implementations for space-time adaptive processing.
title Subband array implementations for space-time adaptive processing.
title_short Subband array implementations for space-time adaptive processing.
title_full Subband array implementations for space-time adaptive processing.
title_fullStr Subband array implementations for space-time adaptive processing.
title_full_unstemmed Subband array implementations for space-time adaptive processing.
collection_title_sort_str subband array implementations for space-time adaptive processing.
title_sort subband array implementations for space-time adaptive processing.
description Intersymbol interference (ISI) and cochannel interference (CCI) are two primary sources of signal impairment inmobile communications. In order to suppress both ISI and CCI, space-time adaptive processing (STAP) has been shown to be effective in performing spatio-temporal equalization, leading to increased communication capacity as well as improved quality of service. The high complexity and slow convergence, however, often impede practical STAP implementations. Several subband array structures have been proposed as alternatives to STAP. These structures provide optimal or suboptimal steady-state performance with reduced implementation complexity and improved convergence performance. The purpose of this paper is to investigate the steady-state performance of subband arrays with centralized and localized feedback schemes, using different decimation rates. Analytical expressions of the minimum mean-square error (MMSE) performance are derived. The analysis assumes discrete Fourier transform (DFT)-based subband arrays and considers both unconstrained and constrained weight adaptations.
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dc.title Subband array implementations for space-time adaptive processing.
dc.creator Zhang, Yimin.
Yang, Kehu.
Amin, Moeness G.
dc.description Intersymbol interference (ISI) and cochannel interference (CCI) are two primary sources of signal impairment inmobile communications. In order to suppress both ISI and CCI, space-time adaptive processing (STAP) has been shown to be effective in performing spatio-temporal equalization, leading to increased communication capacity as well as improved quality of service. The high complexity and slow convergence, however, often impede practical STAP implementations. Several subband array structures have been proposed as alternatives to STAP. These structures provide optimal or suboptimal steady-state performance with reduced implementation complexity and improved convergence performance. The purpose of this paper is to investigate the steady-state performance of subband arrays with centralized and localized feedback schemes, using different decimation rates. Analytical expressions of the minimum mean-square error (MMSE) performance are derived. The analysis assumes discrete Fourier transform (DFT)-based subband arrays and considers both unconstrained and constrained weight adaptations.
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