An improved super-exponential algorithm for blind equalization of satellite SIMO communication systems

Dan Wu; Bing Wang; Wei Gao; Weifeng Tan

doi:10.1117/12.855500

2 April 2010 An improved super-exponential algorithm for blind equalization of satellite SIMO communication systems

Dan Wu, Bing Wang, Wei Gao, Weifeng Tan

Proceedings Volume 7651, International Conference on Space Information Technology 2009; 76511X (2010) https://doi.org/10.1117/12.855500
Event: International Conference on Space Information Technology 2009, 2009, Beijing, China

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.

Citation Download Citation

Dan Wu, Bing Wang, Wei Gao, and Weifeng Tan "An improved super-exponential algorithm for blind equalization of satellite SIMO communication systems", Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76511X (2 April 2010); https://doi.org/10.1117/12.855500

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