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Modified SMI Techniques for Frequency Selective Channels in OFDM

Overview The Sample Matrix Inversion (SMI) algorithm has been widely applied in the filed of adaptive antenna arrays. However, in Time Division Multiple Access (TDMA) systems with known data sequences, a low cost solution would imply the computation of the beamformer based exclusively on this data. In some cases, this might not be possible since the known data could not be sufficient to get a stable estimate of both the sample covariance matrix and the steering vector needed for the SMI spatial filter. In this paper, windowing techniques are applied in order to calculate a beamformer per subcarrier for Orthogonal Frequency Division Multiplexing (OFDM) systems with very limited known training.

Further White Paper Details
Publisher	Technical University of Catalonia	File Format	PDF
Date Published	April 2007
Format	White Papers
Topics	Wireless LAN, Mobile - Wireless Communications

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