Iterative super-exponential-estimator for fast blind channel identification of mobile radio fading channels

An iterative algorithm for blind channel identification (no training symbols necessary) based on the super-exponential-algorithm is shown. On the assumption of independent, identically distributed (i.i.d.) data the algorithm has fast convergence properties. It is robust with respect to system overfit (supernumerarily assumed channel coefficients converge to zero) and influence of modest additive white Gaussian noise even in mixed-phase moving average channels. Despite of the use of fourth order cumulants the complexity of the algorithm is rather low compared with alternative blind methods. Also the combination with an outer channel (de-)coder and MAP equalizer is possible to improve the performance