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

Volume

5

fYear

1997

fDate

21-24 Apr 1997

Firstpage

3689

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.604668

Filename

604668