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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/918912
- Adaptive channel estimation using least mean squares algorithm for cyclic prefix OFDM systems
Pooh, Ling E.;
Lim, Wee Gin;
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- Orthogonal frequency division multiplexing (OFDM) delivers high data transmission rate and forms the basis of Beyond 3G. The channel estimation is imperative for the implementation of OFDM. Cyclic Prefix (CP) based block Recursive Least Squares (RLS) channel estimation algorithm has been proposed for OFDM systems but it increases computational complexity. In this paper, we propose a block LMS (Least Mean Squares) channel estimation algorithm which promises less computation but delivers comparable and promising results.
- IEEE 9th Malaysia International Conference on Communications (MICC 2009). Proceedings: 2009 IEEE 9th Malaysia International Conference on Communications with a Special Workshop on Digital TV Contents, MICC 2009 (Kuala Lumpur, Malaysia 15-17 December, 2009) p. 789-793
- Publisher Link
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
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