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

Author

Lu, I-Tai ; Kwak, Jaeyoung

Author_Institution

Center of Adv. Technol. in Telecommun., Polytech. Univ., Brooklyn, NY, USA

Volume

4

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

2254

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 and Lu (1998) is employed to suppress the multiuser 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. The MIMO (multi-input multi-output) 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

Keywords

MIMO systems; adaptive antenna arrays; adaptive equalisers; adaptive estimation; adaptive signal detection; array signal processing; blind equalisers; code division multiple access; fading channels; gradient methods; interference suppression; least mean squares methods; multiuser channels; radio receivers; spread spectrum communication; DS-CDMA systems; adaptive blind MIMO channel estimation; blind adaptive procedure; blind adaptive space-time scheme; constant modulus algorithm; decision directed algorithm; decision symbols; decorrelator; minimum mean square error estimation; multi-input multi-output; multiple access interference; multiuser detection; multiuser interference; space-time array; stochastic gradient method; varying environment; Adaptive equalizers; Blind equalizers; Channel estimation; Decorrelation; Interference suppression; MIMO; Mean square error methods; Multiaccess communication; Multiple access interference; Multiuser detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1999. GLOBECOM '99

Conference_Location

Rio de Janeireo

Print_ISBN

0-7803-5796-5

Type

conf

DOI

10.1109/GLOCOM.1999.827605

Filename

827605