Blind signal extraction based on higher-order cyclostationarity properties

The paper deals with signal extraction performed by processing data received by an array of sensors. The proposed method is blind, i.e., it does not require any a priori knowledge of directional information associated with the signals of interest (SOI's). Such information is obtained directly from the received data by exploiting the higher-order cyclostationarity (HOCS) properties exhibited by most communication signals. The proposed method is inherently tolerant to both possibly non-stationary Gaussian disturbances as well as non-Gaussian interferences not exhibiting the same HOCS properties presented by the SOI's. Simulation results confirm the effectiveness of the method when it operates in severely degraded disturbance environments.