Distributed minimum variance equalization in wireless sensor networks

Abstract

This paper proposes a novel distributed blind adaptive equalization algorithm for sensor networks, in which each node estimates the data disturbed by inter-symbol interference using time-domain filtering. We apply the minimum variance distortionless response, which is known to be useful for centralized blind equalization, to distributed equalization with multiple distortionless response constraints. Unlike conventional methods, in the proposed approach, each node requires only one filter and sends one signal to the other nodes. Simulation results show the superior performance of the proposed algorithm compared with the conventional algorithm.