G. Gelli et al., CYCLOSTATIONARITY-BASED SIGNAL-DETECTION AND SOURCE LOCATION IN NON-GAUSSIAN NOISE, IEEE transactions on communications, 44(3), 1996, pp. 368-376
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.