Adaptive blind MIMO channel estimation and mutiuser detection in DS-CDMA systems

I-Tai Lu, Jaeyoung Kwak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel adaptive blind approach is developed to simultaneously equalize and estimate the MIMO channel in DS-CDMA systems. The approach consists of two phases: multiuser detection and channel estimation. For multiuser detection, a blind adaptive space-time scheme developed in [Kwak & Lu, ICC'98] is employed to suppress the MutiUser Interference (MUI) or Multiple Access Interference (MAI). The receiver consists of a space-time array and a decorrelator. The blind adaptive procedure is implemented using the constant modulus algorithm (CMA) and the decision directed algorithm (DDA). For channel estimation, the respread sequences of decision symbols are used as references. And the MIMO (MultiInput MultiOutput) channels are estimated (also blindly) using minimum mean square error estimation (MMSE). The adaptation to the varying environment or signals is implemented using the stochastic gradient method.

Original languageEnglish (US)
Title of host publicationConference Record / IEEE Global Telecommunications Conference
PublisherIEEE
Pages2254-2258
Number of pages5
Volume4
StatePublished - 1999
Event1999 IEEE Global Telecommunication Conference - GLOBECOM'99 - Rio de Janeiro, Braz
Duration: Dec 5 1999Dec 9 1999

Other

Other1999 IEEE Global Telecommunication Conference - GLOBECOM'99
CityRio de Janeiro, Braz
Period12/5/9912/9/99

Fingerprint

Multiuser detection
Channel estimation
Code division multiple access
Multiple access interference
Gradient methods
Mean square error
Error analysis
detection
decision

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Global and Planetary Change

Cite this

Lu, I-T., & Kwak, J. (1999). Adaptive blind MIMO channel estimation and mutiuser detection in DS-CDMA systems. In Conference Record / IEEE Global Telecommunications Conference (Vol. 4, pp. 2254-2258). IEEE.

Adaptive blind MIMO channel estimation and mutiuser detection in DS-CDMA systems. / Lu, I-Tai; Kwak, Jaeyoung.

Conference Record / IEEE Global Telecommunications Conference. Vol. 4 IEEE, 1999. p. 2254-2258.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lu, I-T & Kwak, J 1999, Adaptive blind MIMO channel estimation and mutiuser detection in DS-CDMA systems. in Conference Record / IEEE Global Telecommunications Conference. vol. 4, IEEE, pp. 2254-2258, 1999 IEEE Global Telecommunication Conference - GLOBECOM'99, Rio de Janeiro, Braz, 12/5/99.
Lu I-T, Kwak J. Adaptive blind MIMO channel estimation and mutiuser detection in DS-CDMA systems. In Conference Record / IEEE Global Telecommunications Conference. Vol. 4. IEEE. 1999. p. 2254-2258
Lu, I-Tai ; Kwak, Jaeyoung. / Adaptive blind MIMO channel estimation and mutiuser detection in DS-CDMA systems. Conference Record / IEEE Global Telecommunications Conference. Vol. 4 IEEE, 1999. pp. 2254-2258
@inproceedings{d00b92c7ecc7498ebdc8950fe99d5749,
title = "Adaptive blind MIMO channel estimation and mutiuser detection in DS-CDMA systems",
abstract = "A novel adaptive blind approach is developed to simultaneously equalize and estimate the MIMO channel in DS-CDMA systems. The approach consists of two phases: multiuser detection and channel estimation. For multiuser detection, a blind adaptive space-time scheme developed in [Kwak & Lu, ICC'98] is employed to suppress the MutiUser Interference (MUI) or Multiple Access Interference (MAI). The receiver consists of a space-time array and a decorrelator. The blind adaptive procedure is implemented using the constant modulus algorithm (CMA) and the decision directed algorithm (DDA). For channel estimation, the respread sequences of decision symbols are used as references. And the MIMO (MultiInput MultiOutput) channels are estimated (also blindly) using minimum mean square error estimation (MMSE). The adaptation to the varying environment or signals is implemented using the stochastic gradient method.",
author = "I-Tai Lu and Jaeyoung Kwak",
year = "1999",
language = "English (US)",
volume = "4",
pages = "2254--2258",
booktitle = "Conference Record / IEEE Global Telecommunications Conference",
publisher = "IEEE",

}

TY - GEN

T1 - Adaptive blind MIMO channel estimation and mutiuser detection in DS-CDMA systems

AU - Lu, I-Tai

AU - Kwak, Jaeyoung

PY - 1999

Y1 - 1999

N2 - A novel adaptive blind approach is developed to simultaneously equalize and estimate the MIMO channel in DS-CDMA systems. The approach consists of two phases: multiuser detection and channel estimation. For multiuser detection, a blind adaptive space-time scheme developed in [Kwak & Lu, ICC'98] is employed to suppress the MutiUser Interference (MUI) or Multiple Access Interference (MAI). The receiver consists of a space-time array and a decorrelator. The blind adaptive procedure is implemented using the constant modulus algorithm (CMA) and the decision directed algorithm (DDA). For channel estimation, the respread sequences of decision symbols are used as references. And the MIMO (MultiInput MultiOutput) channels are estimated (also blindly) using minimum mean square error estimation (MMSE). The adaptation to the varying environment or signals is implemented using the stochastic gradient method.

AB - A novel adaptive blind approach is developed to simultaneously equalize and estimate the MIMO channel in DS-CDMA systems. The approach consists of two phases: multiuser detection and channel estimation. For multiuser detection, a blind adaptive space-time scheme developed in [Kwak & Lu, ICC'98] is employed to suppress the MutiUser Interference (MUI) or Multiple Access Interference (MAI). The receiver consists of a space-time array and a decorrelator. The blind adaptive procedure is implemented using the constant modulus algorithm (CMA) and the decision directed algorithm (DDA). For channel estimation, the respread sequences of decision symbols are used as references. And the MIMO (MultiInput MultiOutput) channels are estimated (also blindly) using minimum mean square error estimation (MMSE). The adaptation to the varying environment or signals is implemented using the stochastic gradient method.

UR - http://www.scopus.com/inward/record.url?scp=0033294431&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033294431&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0033294431

VL - 4

SP - 2254

EP - 2258

BT - Conference Record / IEEE Global Telecommunications Conference

PB - IEEE

ER -