The paper deals with two-sensor interception of cyclostationary signals 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 locating its emission source through time-difference-of-arrival (TDOA) measurements. To obtain analytical information about the detection performance of the proposed receivers, the deflection in both constant and variable noise-level environments is evaluated. Monte Carlo simulations, aimed at evaluating the detection performance in terms of detection probability and false-alarm probability, and the TDOA estimation accuracy, have been carried out. The results show that the cyclostationarity-exploiting receivers can significantly outperform the radiometric receivers in both signal detection and source location, when the noise level is unknown or variable and/or strong interfering signals are present.
Cyclostationarity-based signal detection and source location in non-Gaussian noise / Gelli, Giacinto; Izzo, Luciano; Paura, Luigi. - In: IEEE TRANSACTIONS ON COMMUNICATIONS. - ISSN 0090-6778. - STAMPA. - 44:(1996), pp. 368-376. [10.1109/26.486331]
Cyclostationarity-based signal detection and source location in non-Gaussian noise
GELLI, GIACINTO;IZZO, LUCIANO;PAURA, LUIGI
1996
Abstract
The paper deals with two-sensor interception of cyclostationary signals 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 locating its emission source through time-difference-of-arrival (TDOA) measurements. To obtain analytical information about the detection performance of the proposed receivers, the deflection in both constant and variable noise-level environments is evaluated. Monte Carlo simulations, aimed at evaluating the detection performance in terms of detection probability and false-alarm probability, and the TDOA estimation accuracy, have been carried out. The results show that the cyclostationarity-exploiting receivers can significantly outperform the radiometric receivers in both signal detection and source location, when the noise level is unknown or variable and/or strong interfering signals are present.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.