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Cyclostationarity-based signal detection and source location in non-Gaussian noise

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3 Author(s)
G. Gelli ; Dipartimento di Ingegneria, Seconda Univ. di Napoli, Aversa, Italy ; L. Izzo ; L. Paura

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

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IEEE Transactions on Communications  (Volume:44 ,  Issue: 3 )