Channel Estimation for SCM-OFDM Systems by Modified Kalman Filter

Tao Peng, Yue Xiao, Shaoqian Li, Huaqiang Shu, Eric Pierre Simon

IEMN Lab, TELICE Group University of Lille, Lille, France.
Nation Key Lab of Sci. and Techno. On Commun., University of Electronic Science and Technology of China, Chengdu, China.

DOI: 10.4236/cn.2013.53B2119                

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.

Keywords

Superposition Coded Modulation (SCM); Orthogonal Frequency Division Multiplexing (OFDM); Channel Estimation; Kalman Filter

Conflicts of Interest

The authors declare no conflicts of interest.

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