Title :
Detection of signals with unknown parameters in GBK-distributed interference
Author :
Iskander, D. Robert ; Zoubir, Abdelhak M.
Author_Institution :
Signal Processing Res. Centre, Queensland Univ., Brisbane, Qld., Australia
Abstract :
In this paper, the design of optimal schemes for detecting deterministic narrowband signals with unknown parameters in correlated interference modelled by the GBK (generalised Bessel function K) distribution is considered. Theoretical derivations of an optimal detector, in the Neyman-Pearson sense, are given for the case where the signal amplitude and phase are unknown. The performance of the detector is then evaluated using extensive computer simulations. Radar target detection is used as an example
Keywords :
Bessel functions; interference (signal); optimisation; radar detection; signal detection; statistical analysis; GBK-distributed interference; Neyman-Pearson detector; correlated interference; deterministic narrowband signals; generalised Bessel function K distribution; optimal schemes; performance; phase; radar target detection; signal amplitude; unknown parameters; Australia; Computer simulation; Detectors; Interference; Narrowband; Phase detection; Radar detection; Signal design; Signal detection; Signal processing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.604668
