Adaptive Minimum Symbol-Error-Rate CDMA Linear Multiuser Detector for Pulse-Amplitude Modulation
Adaptive Minimum Symbol-Error-Rate CDMA Linear Multiuser Detector for Pulse-Amplitude Modulation
An adaptive minimum symbol error rate (MSER) linear multiuser detector (MUD) is proposed for direct sequence code division multiple access (DS-CDMA) systems employing multilevel pulse-amplitude modulation ($M$-PAM) scheme. Based on a kernel density estimation for approximating the symbol error rate (SER) from training data, a least mean squares (LMS) style stochastic gradient algorithm called the least SER (LSER) is developed for training linear MUDs. Computer simulation is used to investigate the performance of this LSER MUD.
2812-2816
Samingan, A.K.
16b3f372-cc0c-473e-b345-6807442f9fb0
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
2003
Samingan, A.K.
16b3f372-cc0c-473e-b345-6807442f9fb0
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Samingan, A.K., Chen, S. and Hanzo, L.
(2003)
Adaptive Minimum Symbol-Error-Rate CDMA Linear Multiuser Detector for Pulse-Amplitude Modulation.
VTC'03 (Spring), Jeju Island, Korea.
22 - 25 Apr 2003.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
An adaptive minimum symbol error rate (MSER) linear multiuser detector (MUD) is proposed for direct sequence code division multiple access (DS-CDMA) systems employing multilevel pulse-amplitude modulation ($M$-PAM) scheme. Based on a kernel density estimation for approximating the symbol error rate (SER) from training data, a least mean squares (LMS) style stochastic gradient algorithm called the least SER (LSER) is developed for training linear MUDs. Computer simulation is used to investigate the performance of this LSER MUD.
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aks-sqc-lh-vtc03spring.pdf
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More information
Published date: 2003
Additional Information:
Event Dates: 22-25 April 2003
Venue - Dates:
VTC'03 (Spring), Jeju Island, Korea, 2003-04-22 - 2003-04-25
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 257442
URI: http://eprints.soton.ac.uk/id/eprint/257442
PURE UUID: 7c508012-bda4-40ac-ac4d-54f1b997621f
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Date deposited: 17 Nov 2003
Last modified: 18 Mar 2024 02:33
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Contributors
Author:
A.K. Samingan
Author:
S. Chen
Author:
L. Hanzo
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