An improved super-exponential algorithm for blind equalization of satellite SIMO communication systems
Dan Wu, Bing Wang, Wei Gao, Weifeng Tan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
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.