DocumentCode :
2110202
Title :
Blind joint equalization and detection in multipath CDMA channel with unknown correlated noise
Author :
Zhang, Yanroiig ; Bi, Guoan ; Ng, Boon Poh ; Kot, Alex Chichung
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
260
Abstract :
This paper deals with the problem of blind joint equalisation and detection in a multipath CDMA channel in the presence of multiple-access interference (MAI) and unknown correlated ambient noise. A subspace method for signature waveform estimation is extended to the system with unknown correlated noise. Through signature waveform estimation, a linear MMSE detector can be obtained blindly. Simulation results are provided to show that the linear MMSE detector is near-far resistant
Keywords :
adaptive equalisers; adaptive estimation; adaptive signal detection; blind equalisers; code division multiple access; correlation methods; interference suppression; land mobile radio; least mean squares methods; matrix decomposition; multipath channels; multiuser channels; noise; radiofrequency interference; adaptive linear multiuser detector; blind channel estimation; blind detection; blind joint equalization; correlated ambient noise; interference suppression; linear MMSE detector; matrix decomposition; multipath CDMA channel; multiple-access interference; near-far resistant detector; signature waveform estimation; simulation results; subspace method; third generation mobile telephony; third generation mobile wireless communications; Bismuth; Blind equalizers; Detectors; Fading; Finite impulse response filter; Gaussian noise; Intersymbol interference; Multiaccess communication; Multiple access interference; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2000 Canadian Conference on
Conference_Location :
Halifax, NS
ISSN :
0840-7789
Print_ISBN :
0-7803-5957-7
Type :
conf
DOI :
10.1109/CCECE.2000.849710
Filename :
849710
Link To Document :
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