NDLI: Blind multi-user access interference cancellation for CDMA based PCS/cellular using antenna arrays

Content Provider	IEEE Xplore Digital Library
Author	Zoltowski, M.D. Ramos, J.
Copyright Year	1996
Description	Author affiliation: Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA (Zoltowski, M.D.)
Abstract	We previously presented a blind 2D RAKE receiver for CDMA that cancels strong multi-user access interference and optimally combines multipath. After passing the output of each antenna through a matched filter based on the spreading waveform of the desired user, one estimates the signal plus interference spatio-frequency correlation matrix during that portion of the bit interval where the fingers of the RAKE occur, and the interference alone spatio-frequency correlation matrix during that portion of the bit interval away from the fingers. The weight vector yielding the optimum signal to interference plus noise ratio for bit decisions is the "largest" generalized eigenvector of the resulting matrix pencil. However, even when the number of elements comprising the array is relatively small, this spatio-frequency correlation matrix pencil is of large dimension. In addition to detracting from the real-time applicability of the scheme, this slows up the time to convergence. A reduced complexity scheme is presented based on a data adaptive transformation to a beamspace of dimension equal to the effective number of spatial degrees of freedom taken up by the desired user's multipath.
Starting Page	2730
Ending Page	2733
File Size	417839
Page Count	4
File Format	PDF
ISBN	0780331923
ISSN	15206149
DOI	10.1109/ICASSP.1996.550117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference cancellation Multiaccess communication Personal communication networks Antenna arrays Matched filters Fading Multipath channels Fingers Frequency estimation Signal to noise ratio
Content Type	Text
Resource Type	Article

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