NDLI: Blind Signal Separation in MIMO OFDM Systems Using ICA and Fractional Sampling

Content Provider	IEEE Xplore Digital Library
Author	Curnew, S.R. How, J.
Copyright Year	2007
Description	Author affiliation: Dalhousie Univ., Halifax (Curnew, S.R.; How, J.)
Abstract	This paper addresses the problem of Blind Signal Separation (BSS) as it pertains to Multiple Input Multiple Output (MIMO) systems utilizing Orthogonal Frequency Division Multiplexing (OFDM). In systems with N subcarriers affected by frequency selective channels, when sampling the received signals at the Nyquist rate, the original BSS is transformed into a set of N standard Independent Component Analysis (ICA) problems. In this paper, fractional sampling is employed to increase the number of received signals and improve diversity at the receiver. The up-sampling of the OFDM frames is analyzed in the frequency domain with an up-sampling factor of 2. This doubles the number of ICA problems which provide N new solutions to aid in the recovery of the original data symbols. The additional solutions using equal gain combining improve signal-to-noise ratio (SNR) and therefore the data recovery. To achieve convergence of the ICA algorithm for the over-sampled data symbols, a specialized rotation of constellations on adjacent subcarriers is introduced. The simulation results demonstrate effectiveness of the overall system in its resiliency to inter-carrier interference and the AWGN channel.
Starting Page	67
Ending Page	70
File Size	457944
Page Count	4
File Format	PDF
ISBN	1424414482
DOI	10.1109/ISSSE.2007.4294415
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-30
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blind source separation MIMO OFDM Independent component analysis Sampling methods Diversity reception Frequency domain analysis Signal to noise ratio Interference AWGN channels Independent Component Analysis MIMO OFDM Blind Signal Separation
Content Type	Text
Resource Type	Article

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