CYCLOSTATIONARITY-BASED SIGNAL-DETECTION AND SOURCE LOCATION IN NON-GAUSSIAN NOISE

The paper deals with two sensor interception of cyclostationary signal s in the presence of additive non-Gaussian noise. The locally optimum approach is considered as a starting point to derive cyclostationarity -exploiting receiver structures for detecting a weak signal and locati ng its emission source through time-difference-of:arrival (TDOA) measu rements. To obtain analytical information about the detection performa nce of the proposed receivers, the deflection in both constant and var iable noise-level environments is evaluated. Monte Carlo simulations, aimed at evaluating the detection performance in terms of detection pr obability and false-alarm probability, and the TDOA estimation accurac y, have been carried out. The results show that the cyclostationarity- exploiting receivers can significantly outperform the radiometric rece ivers in both signal detection and source location, when the noise lev el is unknown or variable and/or strong interfering signals are presen t.