Development and Analysis of Adaptive Interference Rejection Techniques for Direct Sequence Code Division Multiple Access Systems
The inadequacy of conventional CDMA receivers in a multiple access interference-limited mobile radio environment has spurred research on advanced receiver technologies. This research investigates the use of adaptive receivers for single user demodulation to overcome some of the deficiencies of a con...
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ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-283992021-05-18T05:27:08Z Development and Analysis of Adaptive Interference Rejection Techniques for Direct Sequence Code Division Multiple Access Systems Mangalvedhe, Nitin R. Electrical and Computer Engineering Reed, Jeffrey H. Kobza, John E. Beex, A. A. Louis Woerner, Brian D. Tranter, William H. MMSE Analysis Interference Rejection Multiple Access Interference Adaptive Receivers Adaptation Algorithms Multi-Rate Systems CDMA Systems The inadequacy of conventional CDMA receivers in a multiple access interference-limited mobile radio environment has spurred research on advanced receiver technologies. This research investigates the use of adaptive receivers for single user demodulation to overcome some of the deficiencies of a conventional receiver and, hence, enhance the system capacity. Several new adaptive techniques are proposed. The new techniques and some existing schemes are analyzed. The limitation of existing blind algorithms in multipath channels is analyzed and a new blind algorithm is proposed that overcomes this limitation. The optimal receiver structure for multi-rate spread spectrum systems is derived and the performance of this receiver in various propagation channels is investigated. The application of coherent and differentially coherent implementations of the adaptive receiver in the presence of carrier frequency offsets is analyzed. The performance of several new adaptive receiver structures for frequency offset compensation is also studied in this research. Analysis of the minimum mean-squared error receiver is carried out to provide a better understanding of the dependence of its performance on channel parameters and to explain the near-far resilience of the receiver. Complex differentially coherent versions of the sign algorithm and the signed regressor algorithm, algorithms that have a much lower computational complexity than the least-means square algorithm, are proposed and applied for CDMA interference rejection. Ph. D. 2014-03-14T20:14:18Z 2014-03-14T20:14:18Z 1999-07-16 1999-07-25 2000-07-30 1999-07-30 Dissertation etd-072599-170513 http://hdl.handle.net/10919/28399 http://scholar.lib.vt.edu/theses/available/etd-072599-170513/ etd.pdf In Copyright http://rightsstatements.org/vocab/InC/1.0/ application/pdf Virginia Tech |
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MMSE Analysis Interference Rejection Multiple Access Interference Adaptive Receivers Adaptation Algorithms Multi-Rate Systems CDMA Systems |
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MMSE Analysis Interference Rejection Multiple Access Interference Adaptive Receivers Adaptation Algorithms Multi-Rate Systems CDMA Systems Mangalvedhe, Nitin R. Development and Analysis of Adaptive Interference Rejection Techniques for Direct Sequence Code Division Multiple Access Systems |
description |
The inadequacy of conventional CDMA receivers in a multiple access interference-limited mobile radio environment has spurred research on advanced receiver technologies. This research investigates the use of adaptive receivers for single user demodulation to overcome some of the deficiencies of a conventional receiver and, hence, enhance the system capacity. Several new adaptive techniques are proposed. The new techniques and some existing schemes are analyzed. The limitation of existing blind algorithms in multipath channels is analyzed and a new blind algorithm is proposed that overcomes this limitation. The optimal receiver structure for multi-rate spread spectrum systems is derived and the performance of this receiver in various propagation channels is investigated. The application of coherent and differentially coherent implementations of the adaptive receiver in the presence of carrier frequency offsets is analyzed. The performance of several new adaptive receiver structures for frequency offset compensation is also studied in this research. Analysis of the minimum mean-squared error receiver is carried out to provide a better understanding of the dependence of its performance on channel parameters and to explain the near-far resilience of the receiver. Complex differentially coherent versions of the sign algorithm and the signed regressor algorithm, algorithms that have a much lower computational complexity than the least-means square algorithm, are proposed and applied for CDMA interference rejection. === Ph. D. |
author2 |
Electrical and Computer Engineering |
author_facet |
Electrical and Computer Engineering Mangalvedhe, Nitin R. |
author |
Mangalvedhe, Nitin R. |
author_sort |
Mangalvedhe, Nitin R. |
title |
Development and Analysis of Adaptive Interference Rejection Techniques for Direct Sequence Code Division Multiple Access Systems |
title_short |
Development and Analysis of Adaptive Interference Rejection Techniques for Direct Sequence Code Division Multiple Access Systems |
title_full |
Development and Analysis of Adaptive Interference Rejection Techniques for Direct Sequence Code Division Multiple Access Systems |
title_fullStr |
Development and Analysis of Adaptive Interference Rejection Techniques for Direct Sequence Code Division Multiple Access Systems |
title_full_unstemmed |
Development and Analysis of Adaptive Interference Rejection Techniques for Direct Sequence Code Division Multiple Access Systems |
title_sort |
development and analysis of adaptive interference rejection techniques for direct sequence code division multiple access systems |
publisher |
Virginia Tech |
publishDate |
2014 |
url |
http://hdl.handle.net/10919/28399 http://scholar.lib.vt.edu/theses/available/etd-072599-170513/ |
work_keys_str_mv |
AT mangalvedhenitinr developmentandanalysisofadaptiveinterferencerejectiontechniquesfordirectsequencecodedivisionmultipleaccesssystems |
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1719405125454266368 |