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Adaptive Channel SVD Estimation for MIMO-OFDM Systems

Overview In this paper an adaptive estimation algorithm for channel matrix singular value decomposition (SVD) in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems is proposed. The SVD method is an efficient approach to design space-time coding/decoding and detection algorithms in MIMO-OFDM systems. However, the SVD estimation may involve complex nonlinear optimization methods. The proposed algorithm in this paper is developed based on a two-step recursive method by utilizing the linear constrained least mean square (LMS) technique.

Further White Paper Details
Publisher	University of Toronto	File Format	PDF
Date Published	May 2005	Downloads	434
Format	White Papers
Topics	Wireless LAN

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