Title :
Cornish-Fisher technique for estimating detection probabilities for compound clutter distributions
Author_Institution :
Air Oper. Div., DSTO Melbourne, Fishermans Bend, VIC, Australia
Abstract :
Application of the Cornish-Fisher technique for the calculation of statistical quantiles to the central moment expansion of the radar detection problem for general non- Rayleigh compound sea clutter distributions yields simple and explicit representations of the detection probability as a function of system and operational parameters. The domain of airborne maritime radar is considered, and the method is illustrated for the case of a Swerling-2 target in K-distributed clutter, where the evaluation of detection curves turns out to be not significantly more computationally expensive than the corresponding Rayleigh-distributed problem. This makes it well suited to operational studies based on computer simulation.
Keywords :
airborne radar; marine radar; probability; radar clutter; radar detection; Cornish-Fisher technique; K-distributed clutter; Swerling-2 target; airborne maritime radar; central moment expansion; compound clutter distributions; computer simulation; detection curve evaluation; detection probability estimation; general nonRayleigh compound sea clutter distributions; radar detection problem; statistical quantiles; Atmospheric modeling; Clutter; Computational modeling; Mathematical model; Radar; Shape; Signal to noise ratio;
Conference_Titel :
Radar (Radar), 2013 International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-1-4673-5177-5
DOI :
10.1109/RADAR.2013.6651993