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Proceedings Paper

An improved super-exponential algorithm for blind equalization of satellite SIMO communication systems
Author(s): Dan Wu; Bing Wang; Wei Gao; Weifeng Tan
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Paper Abstract

Blind equalization is an effective way to suppress the inter-symbol interference (ISI), which is caused by multipath fading communication channels. An improved robust super-exponential method (ISEM) is proposed here and extended to single-input multioutput (SIMO) models which are commonly used in satellite communication systems. The method, combining super-exponential method (SEM) and minimum description length (MDL), makes the equalization achieve good results even when the signal to noise ratio (SNR) is low. ISEM estimates the noise power of the received signal and then equalizes it by reducing the noise affection. Compared with robust super-exponential method (RSEM) in [1], the presented method has better performance but less computation.

Paper Details

Date Published: 2 April 2010
PDF: 6 pages
Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76511X (2 April 2010); doi: 10.1117/12.855500
Show Author Affiliations
Dan Wu, Space Star Technology Co., Ltd. (China)
Bing Wang, Space Star Technology Co., Ltd. (China)
Wei Gao, Space Star Technology Co., Ltd. (China)
Weifeng Tan, Space Star Technology Co., Ltd. (China)

Published in SPIE Proceedings Vol. 7651:
International Conference on Space Information Technology 2009
Xingrui Ma; Baohua Yang; Ming Li, Editor(s)

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