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Mathematical Problems in Engineering
Volume 2015, Article ID 137528, 11 pages
Research Article

Channel Parameters Identification Based on IMM Algorithm for Variant Correlation Channel

1National Police University of China, Shenyang 110854, China
2Envisage Information Systems, Ithaca, NY 14850, USA
3College of Information and Communication, Harbin Engineering University, Harbin 150001, China

Received 29 January 2015; Accepted 13 March 2015

Academic Editor: Francesco Tornabene

Copyright © 2015 Zhuo Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In wireless communication systems, correct knowledge of the correlation of a fading channel is essential for channel estimation. Both the reliability of the estimated channel impulse response (CIR) and the adjustment of an adaptive communication system need the accurate correlation information, which is difficult to identify especially when changing. By modeling the fading channel as a hybrid dynamic system, a channel estimation algorithm based on Interacting Multiple Model (IMM) is presented with the consideration of time-variant channel correlation. Applying the IMM algorithm, the proposed channel estimator can identify the channel correlation. With the accurate information of channel correlation, the proposed algorithm is capable of performing accurate estimation on the fading wireless channel with time-variant or time-invariant correlation. Our simulations demonstrate that the IMM based channel estimation algorithm has good performance in estimating CIR as well as in identifying the channel correlation.