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

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.

[1]  Chong-Yung Chi,et al.  Two-step lattice super-exponential algorithm for blind equalization of multi-input multi-output channels , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[2]  Inbar Fijalkow,et al.  Fractionally spaced equalization using CMA: robustness to channel noise and lack of disparity , 1997, IEEE Trans. Signal Process..

[3]  Douglas B. Williams,et al.  Counting the degrees of freedom when using AIC and MDL to detect signals , 1994, IEEE Trans. Signal Process..

[4]  Ehud Weinstein,et al.  Super-exponential methods for blind deconvolution , 1993, IEEE Trans. Inf. Theory.

[5]  Asoke K. Nandi,et al.  Robust super-exponential methods for blind equalization in the presence of Gaussian noise , 2005, IEEE Transactions on Circuits and Systems II: Express Briefs.

[6]  Asoke K. Nandi,et al.  Robust super-exponential methods for blind equalization of SISO systems with additive Gaussian noise , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[7]  Mitsuru Kawamoto,et al.  Robust Super-Exponential Methods for Blind Equalization of MIMO-IIR Systems , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[8]  Thomas Kailath,et al.  Detection of signals by information theoretic criteria , 1985, IEEE Trans. Acoust. Speech Signal Process..