期刊名称：BVICAM's International Journal of Information Technology
印刷版ISSN：0973-5658
出版年度：2016
卷号：8
期号：2
语种：English
出版社：Bharati Vidyapeeth's Institute of Computer Applications and Management
摘要：In this work Extended Kalman Filter(EKF)is implemented for Orthogonal Frequency Division Multiplexing?Superposition Coded Modulation(SCM) scheme. Due to time varying nature of Rayleigh fast fading channel which vitiates the performance of data detection which in turn degrades the performance of OFDM system. An efficient channel estimation technique is necessary. An Extended Kalman filtering algorithm is proposed which is low in computational complexity. The Jakes process is modeled as Autoregressive model and approximated to Rayleigh fading channel. This estimator algorithm is bandwidth efficient and requires less computation contrast to data-based only estimators. The results obtained prove that the proposed algorithm can be used to obtain the channel estimation with low computational complexity at the receiver.
关键词：Index Terms - SCM (Superposition Coded Modulation); EKF(Extended Kalman Filter),Orthogonal Frequency Division Multiplexing(OFDM);AR model (Auto regressive)model.
