| Publisher | University of Toronto | ||
|---|---|---|---|
| Format | 162.4KB PDF | Date added | 07 May 2005 |
| Topics | Wireless LAN | ||
| Downloads | 112 | ||
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.
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