Diffusion Constant Modulus Algorithm for Blind Equalization

Abstract

The constant modulus algorithm (CMA) has the advantage of not requiring a training sequence but only relying on a priori known stochastic of the transmitted data sequence to achieve blind adaptive channel equalization. In this paper, we propose a novel diffusion constant modulus algorithm (DCMA) over networks composing of sensors located at the receiver array for blind equalization of communication channels. The proposed DCMA algorithm can perform much better in a decentralized manner than the conventional noncooperative CMA algorithm. Simulation results of blind channel equalization corroborate the improved performance of DCMA algorithm in terms of bit error rate at different SNR.