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Channel Estimation for SCM-OFDM Systems by Modified Kalman Filter
Nation Key Lab of Sci. and Techno. On Commun., University of Electronic Science and Technology of China, Chengdu, China
Nation Key Lab of Sci. and Techno. On Commun., University of Electronic Science and Technology of China, Chengdu, China
Nation Key Lab of Sci. and Techno. On Commun., University of Electronic Science and Technology of China, Chengdu, China
IEMN Lab, TELICE Group University of Lille, Lille, France
IEMN Lab, TELICE Group University of Lille, Lille, France
- 1 Nation Key Lab of Sci. and Techno. On Commun., University of Electronic Science and Technology of China, Chengdu, China
- 2 Nation Key Lab of Sci. and Techno. On Commun., University of Electronic Science and Technology of China, Chengdu, China
- 3 Nation Key Lab of Sci. and Techno. On Commun., University of Electronic Science and Technology of China, Chengdu, China
- 4 IEMN Lab, TELICE Group University of Lille, Lille, France
- 5 IEMN Lab, TELICE Group University of Lille, Lille, France
Communications and Network·Volume 05 (2013)·Pages 666–670·Published 27 September 2013·DOI10.4236/cn.2013.53B2119
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Abstract
In this paper, the problem of channel estimation for superposition coded modulation-orthogonal frequency division multiplexing (SCM-OFDM) systems over frequency selective channels is investigated. Assuming that the path delays are known, a new channel estimator based on modified Kalman filter algorithms is introduced for the estimation of the multipath Rayleigh channel complex gains (CG). In the simulation, the mean square error (MSE) and bit-error-rate (BER) performances are given to verify the effectiveness of the Kalman estimation algorithms for SCM-OFDM systems.
KeywordsSuperposition Coded Modulation (SCM)Orthogonal Frequency Division Multiplexing (OFDM)Channel EstimationKalman Filter
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