The Maximin Adaptive-Array Algorithm for Direct-Sequence Systems

An adaptive-array algorithm that suppresses interference in a direct-sequence system is proposed. The maximin algorithm differs from alternative algorithms in that it requires neither training sequences, directional information, decision-directed adaptation, nor elaborate computations such as eigena...

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Bibliographic Details
Published inIEEE transactions on signal processing Vol. 55; no. 5; pp. 1853 - 1861
Main Authors Torrieri, D., Bakhru, K.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.05.2007
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptation
Adaptive array
Adaptive arrays
Algorithm design and analysis
Algorithms
Applied sciences
Arrays
Computational modeling
Computer simulation
Convergence
Detection, estimation, filtering, equalization, prediction
direct sequence
Exact sciences and technology
Frequency
Gain
Information, signal and communications theory
Interference
Interference suppression
Microprocessors
Military computing
Miscellaneous
Signal and communications theory
Signal processing
Signal processing algorithms
Signal, noise
spread spectrum
Spread spectrum communication
Telecommunications and information theory
Fading
Adaptive algorithm
Maximin problem
Noise reduction
Adaptive antenna arrays
Implementation
Learning
Interference suppression
Signal interference
Adaptive array
Algorithm performance
Simulation
Signal processing
Spread spectrum
Direct sequence
Online AccessGet full text
ISSN1053-587X
1941-0476
DOI10.1109/TSP.2006.890875

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Summary:An adaptive-array algorithm that suppresses interference in a direct-sequence system is proposed. The maximin algorithm differs from alternative algorithms in that it requires neither training sequences, directional information, decision-directed adaptation, nor elaborate computations such as eigenanalysis. The algorithm is derived and implementation details of the maximin processor in a direct-sequence system are explained. A convergence analysis establishes bounds on the adaptation constant and justifies the adaptation sequence used in the maximin algorithm. Simulation experiments confirm that the algorithm supplements the direct-sequence processing gain with a large amount of additional interference suppression. The simulation results demonstrate the robust performance of the algorithm for various array configurations, numbers of interference signals, interference levels, and fading conditions
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2006.890875