Abstract
AbstractWhen environmental noise keeps to fractional lower order α-stable distribution, the convergence performance of the traditional blind equalization algorithm is unstable. To overcome the deficiency, on the basis of combining weighted multi-modulus blind equalization algorithm (WMMA) with fractional lower order statistics (FLOS), a wavelet weighted multi-modulus blind equalization algorithm based on FLOS is proposed. This proposed algorithm uses FLOS to suppress the α-stable noise, utilizes WMMA to adjust the modulus in the cost function, and uses normalized orthogonal wavelet transform to reduce the autocorrelation of the input signals. The computer simulation indicates that the proposed algorithm is suitable for the equalization of higher order QAM signals. Compared with constant modulus algorithm based on FLOS and WMMA based on FLOS, the convergence performance of this proposed algorithm is superior.Keywords α-stable noiseFraction lower order statisticsBlind equalizationWeighted multi-modulus
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