Analysis of joint channel estimation and joint data detection in TD-SCDMA systems

Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) has several attractive characteristics that made it capable of meeting the requirements of G4 systems when applied as a platform directly. Joint detections, the unpaired spectrums with flexible sharing of resources, and some other ad...

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Main Authors:	Marzook, Ali K., Ismail, A., Ali, B. M, Sali, A., Khalaf, Mohannad H., Sabira, Khatun
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2011
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/25646/ http://umpir.ump.edu.my/id/eprint/25646/ http://umpir.ump.edu.my/id/eprint/25646/1/Analysis%20of%20joint%20channel%20estimation%20and%20joint%20data%20detection%20in%20TD-SCDMA%20systems.pdf

id	ump-25646
recordtype	eprints
spelling	ump-256462020-02-19T07:08:56Z http://umpir.ump.edu.my/id/eprint/25646/ Analysis of joint channel estimation and joint data detection in TD-SCDMA systems Marzook, Ali K. Ismail, A. Ali, B. M Sali, A. Khalaf, Mohannad H. Sabira, Khatun QA76 Computer software Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) has several attractive characteristics that made it capable of meeting the requirements of G4 systems when applied as a platform directly. Joint detections, the unpaired spectrums with flexible sharing of resources, and some other advanced properties leads TD-SCDMA to achieve high data rate services. In this paper a comprehensive analysis is presented that involve accurate Joint Channel Estimation (JCE) for traditional and enhanced estimators based on two criterions: Least square (LS) & Minimum Mean Square Error (MMSE) at two scenarios of users' movements. In addition to a comprehensive Multi-Users Joint Detection (MUJD) is improved to mitigate Multiple Access Interference (MAI) and Inter-Symbol Interference (ISI) using the following detectors: Matched Filter (MF), Zero Forcing Block Linear Equalizer (ZF-BLE), and Minimum Mean Square Error Block Linear Equalizer (MMSE-BLE) for traditional and enhanced channel estimation criterions. Simulation results showed that equalizers fed by Channel Impulse Response (CIR) optimized according to enhanced LS or MMSE give a better performance to that ones when CIR obtained from traditional LS or MMSE criterion. The using of MMSE give the opportunity to implement adaptive equalizes to cope with fast fading and/or non stationary interference environments. IEEE 2011 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25646/1/Analysis%20of%20joint%20channel%20estimation%20and%20joint%20data%20detection%20in%20TD-SCDMA%20systems.pdf Marzook, Ali K. and Ismail, A. and Ali, B. M and Sali, A. and Khalaf, Mohannad H. and Sabira, Khatun (2011) Analysis of joint channel estimation and joint data detection in TD-SCDMA systems. In: 17th Asia Pacific Conference on Communications (APCC 2011), 2-5 October 2011 , Kota Kinabalu, Sabah. pp. 692-697. (6152896). ISBN 978-145770388-1 https://doi.org/10.1109/APCC.2011.6152896
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Marzook, Ali K. Ismail, A. Ali, B. M Sali, A. Khalaf, Mohannad H. Sabira, Khatun Analysis of joint channel estimation and joint data detection in TD-SCDMA systems
description	Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) has several attractive characteristics that made it capable of meeting the requirements of G4 systems when applied as a platform directly. Joint detections, the unpaired spectrums with flexible sharing of resources, and some other advanced properties leads TD-SCDMA to achieve high data rate services. In this paper a comprehensive analysis is presented that involve accurate Joint Channel Estimation (JCE) for traditional and enhanced estimators based on two criterions: Least square (LS) & Minimum Mean Square Error (MMSE) at two scenarios of users' movements. In addition to a comprehensive Multi-Users Joint Detection (MUJD) is improved to mitigate Multiple Access Interference (MAI) and Inter-Symbol Interference (ISI) using the following detectors: Matched Filter (MF), Zero Forcing Block Linear Equalizer (ZF-BLE), and Minimum Mean Square Error Block Linear Equalizer (MMSE-BLE) for traditional and enhanced channel estimation criterions. Simulation results showed that equalizers fed by Channel Impulse Response (CIR) optimized according to enhanced LS or MMSE give a better performance to that ones when CIR obtained from traditional LS or MMSE criterion. The using of MMSE give the opportunity to implement adaptive equalizes to cope with fast fading and/or non stationary interference environments.
format	Conference or Workshop Item
author	Marzook, Ali K. Ismail, A. Ali, B. M Sali, A. Khalaf, Mohannad H. Sabira, Khatun
author_facet	Marzook, Ali K. Ismail, A. Ali, B. M Sali, A. Khalaf, Mohannad H. Sabira, Khatun
author_sort	Marzook, Ali K.
title	Analysis of joint channel estimation and joint data detection in TD-SCDMA systems
title_short	Analysis of joint channel estimation and joint data detection in TD-SCDMA systems
title_full	Analysis of joint channel estimation and joint data detection in TD-SCDMA systems
title_fullStr	Analysis of joint channel estimation and joint data detection in TD-SCDMA systems
title_full_unstemmed	Analysis of joint channel estimation and joint data detection in TD-SCDMA systems
title_sort	analysis of joint channel estimation and joint data detection in td-scdma systems
publisher	IEEE
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/25646/ http://umpir.ump.edu.my/id/eprint/25646/ http://umpir.ump.edu.my/id/eprint/25646/1/Analysis%20of%20joint%20channel%20estimation%20and%20joint%20data%20detection%20in%20TD-SCDMA%20systems.pdf
first_indexed	2023-09-18T22:39:30Z
last_indexed	2023-09-18T22:39:30Z
_version_	1777416819586367488

Analysis of joint channel estimation and joint data detection in TD-SCDMA systems

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