Blind Identification for Communication Signals: An Approach Exploiting Sampling Phase Diversity

Abstract

This paper presents a second-order blind channel estimation algorithm for digital communication signals undernatural asynchronous conditions where no synchronization exists between transmitting and receiving antennas. The approachexploits sampling phase diversity provided by the cyclostationary nature of the received signals as an advantageous meansof constructing multiple sets of distinct autocorrelation matrices evaluated at equals time lags. Channel estimation is thenperformed via joint diagonalization of a set of differential autocorrelation target matrices, avoiding the need of noise poweror statistical distribution estimation. A broad set of simulation experiments is presented in distinctive signal contexts as ameans of supporting and evidencing the potential of the proposed estimation method.