A semi-blind approach for MMSE equalization in downlink CDMA channel

Author

Choi, Jinho

Author_Institution

Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Sydney, NSW, Australia

Volume

1

fYear

2002

fDate

25-28 Nov. 2002

Firstpage

67

Abstract

We investigate the chip-level equalization using finite impulse response (FIR) equalizers for the mobile station of code division multiple access (CDMA) systems with single and multiple receive antennas. As a semi-blind method, a generalized minimum mean square error (MMSE) equalization, which combines the MMSE and blind approaches together, is investigated. It is shown that the generalized MMSE equalizer can effectively increase the number of samples to track the variation of channel and thereby performs better when the coherence time is small. In addition, we derive a closed-form solution of the MMSE and generalized MMSE equalizers for given channels.

Keywords

adaptive equalisers; blind equalisers; code division multiple access; fading channels; land mobile radio; least mean squares methods; multiuser channels; radio links; receiving antennas; time-varying channels; transient response; FIR equalizers; LMS algorithm; MMSE equalization; adaptive equalization; blind equalizer; channel variation tracking; chip-level equalization; closed-form solution; code division multiple access; coherence time; downlink CDMA channel; finite impulse response equalizers; generalized MMSE equalizer; generalized minimum mean square error equalization; mobile station; receive antennas; semi-blind approach; semi-blind method; time-variant frequency selective fading; Binary phase shift keying; Blind equalizers; Computer simulation; Downlink; Fading; Finite impulse response filter; Mean square error methods; Mobile computing; Multiaccess communication; Multipath channels;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems, 2002. ICCS 2002. The 8th International Conference on

Print_ISBN

0-7803-7510-6

Type

conf

DOI

10.1109/ICCS.2002.1182439

Filename

1182439