naa a22 4500 510796737 CHVBK 20180411083339.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s11277-013-1224-7 doi (NATIONALLICENCE)springer-10.1007/s11277-013-1224-7 Multiuser Detection Based on Adaptive LMS and Modified Genetic Algorithm in DS-CDMA Communication Systems [Elektronische Daten] [Abdulhamid Zahedi, Hamidreza Bakhshi] In this paper, we present an efficient evolutionary algorithm for the multi-user detection (MUD) problem in direct sequence-code division multiple access (DS-CDMA) communication systems. The optimum detector for MUD is the maximum likelihood (ML) detector, but its complexity is very high and involves an exhaustive search to reach the best fitness of transmitted and received data. Thus, there has been considerable interest in suboptimal multiuser detectors with less complexity and reasonable performance. The proposed algorithm is a combination of adaptive LMS Algorithm and modified genetic algorithm (GA). Indeed the LMS algorithm provides a good initial response for GA, and GA will be applied for this response to reach the best answer. The proposed GA reduces the dimension of the search space and provides a suitable framework for future extension to other optimization algorithms. Our algorithm is compared to ML detector, Matched Filter (MF) detector, conventional detector with GA; and Adaptive LMS detector which have been used for MUD in DS-CDMA. Simulation results show that the performance of this algorithm is close to the optimal detector with very low complexity, and it works better in comparison to other algorithms. Springer Science+Business Media New York, 2013 Direct sequence-code division multiple access (DS-CDMA) nationallicence Multiuser detection nationallicence Adaptive LMS algorithm nationallicence Genetic algorithm nationallicence Zahedi Abdulhamid Faculty of Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran aut Bakhshi Hamidreza Department of Electrical Engineering, Shahed University, Persian Gulf Highway, Tehran, Iran aut Wireless Personal Communications Springer US; http://www.springer-ny.com 73/3(2013-12-01), 931-947 0929-6212 73:3<931 2013 73 11277 https://doi.org/10.1007/s11277-013-1224-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1224-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zahedi Abdulhamid Faculty of Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran aut NATIONALLICENCE 700 1- Bakhshi Hamidreza Department of Electrical Engineering, Shahed University, Persian Gulf Highway, Tehran, Iran aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 73/3(2013-12-01), 931-947 0929-6212 73:3<931 2013 73 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer