Blind Adaptive and Iterative Algorithms for Decision-Feedback DS-CDMA Receivers in Frequency-Selective Channels

In this paper, we examine blind adaptive and iterative decision-feedback (DF) receivers for direct-sequence code-division multiple-access systems in frequency-selective channels. Code-constrained minimum variance and constant modulus design criteria for DF receivers based on constrained optimization...

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Published in:IEEE transactions on vehicular technology Vol. 56; no. 2; pp. 605 - 618
Main Authors: de Lamare, Rodrigo C., Sampaio-Neto, Raimundo
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.03.2007
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0018-9545, 1939-9359
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Abstract In this paper, we examine blind adaptive and iterative decision-feedback (DF) receivers for direct-sequence code-division multiple-access systems in frequency-selective channels. Code-constrained minimum variance and constant modulus design criteria for DF receivers based on constrained optimization techniques are investigated for scenarios subject to multipath. Computationally efficient blind adaptive stochastic gradient and recursive least squares algorithms are developed for estimating the parameters of DF detectors along with successive, parallel, and iterative DF structures. A novel successive parallel arbitrated DF scheme is presented and combined with iterative techniques for use with cascaded DF stages in order to mitigate the deleterious effects of error propagation. Simulation results for an uplink scenario assess the algorithms and the blind adaptive DF detectors against linear receivers and evaluate the effects of error propagation of the new cancellation techniques against previously reported approaches.
AbstractList In this paper, we examine blind adaptive and iterative decision-feedback (DF) receivers for direct-sequence code-division multiple-access systems in frequency-selective channels. Code-constrained minimum variance and constant modulus design criteria for DF receivers based on constrained optimization techniques are investigated for scenarios subject to multipath. Computationally efficient blind adaptive stochastic gradient and recursive least squares algorithms are developed for estimating the parameters of DF detectors along with successive, parallel, and iterative DF structures. A novel successive parallel arbitrated DF scheme is presented and combined with iterative techniques for use with cascaded DF stages in order to mitigate the deleterious effects of error propagation. Simulation results for an uplink scenario assess the algorithms and the blind adaptive DF detectors against linear receivers and evaluate the effects of error propagation of the new cancellation techniques against previously reported approaches.
In this paper, we examine blind adaptive and iterative decision-feedback (DF) receivers for direct-sequence code-division multiple-access systems in frequency-selective channels. Code-constrained minimum variance and constant modulus [abstract truncated by publisher].
In this paper, we examine blind adaptive and iterative decision-feedback (DF) receivers for direct-sequence code-division multiple-access systems in frequency-selective channels. Code-constrained minimum variance and constant modulus design criteria for DF receivers based on constrained optimization techniques are investigated for scenarios subject to multipath. Computationally efficient blind adaptive stochastic gradient and recursive least squares algorithms are developed for estimating the parameters of DF detectors along with successive, parallel, and iterative DF structures. A novel successive parallel arbitrated DF scheme is presented and combined with iterative techniques for use with cascaded DF stages in order to mitigate the deleterious effects of error propagation. Simulation results for an uplink scenario assess the algorithms and the blind adaptive DF detectors against linear receivers and evaluate the effects of error propagation of the new cancellation techniques against previously reported approaches
Author Sampaio-Neto, Raimundo
de Lamare, Rodrigo C.
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Keywords Fading channels
Multiuser detection
Parameter estimation
Adaptive algorithm
Iterative method
Stochastic method
Recursive algorithm
decision feedback receivers
Constrained optimization
direct-sequence-code-division multiple access (DS- CDMA) systems
Minimal variance
Frequency selection
Simulation
Least squares method
Code division multiple access
Blind adaptive algorithms
Growth of error
Uplink
Direct sequence
Signal detection
Cascade connection
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PublicationTitle IEEE transactions on vehicular technology
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Institute of Electrical and Electronics Engineers
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SubjectTerms Adaptive algorithms
Algorithms
Applied sciences
Blind adaptive algorithms
Blinds
Channels
Concurrent computing
Constraint optimization
d irect-sequence-code-division multiple access (DS-CDMA) systems
decision feedback receivers
Design optimization
Detection, estimation, filtering, equalization, prediction
Detectors
Estimating
Exact sciences and technology
Frequency
Information, signal and communications theory
Iterative algorithms
Iterative methods
Least squares approximation
Multiaccess communication
multiuser detection
Parameter estimation
Receivers
Signal and communications theory
Signal, noise
Stochastic processes
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Title Blind Adaptive and Iterative Algorithms for Decision-Feedback DS-CDMA Receivers in Frequency-Selective Channels
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