Open AccessCost function design for the fully adaptive radar framework
Author(s) -
Mitchell Adam E.,
Smith Graeme E.,
Bell Kristine L.,
Duly Andrew J.,
Rangaswamy Muralidhar
Publication year - 2018
Publication title -
iet radar, sonar and navigation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.489
H-Index - 82
eISSN - 1751-8792
pISSN - 1751-8784
DOI - 10.1049/iet-rsn.2018.5327
Subject(s) - radar , computer science , component (thermodynamics) , adaptation (eye) , underpinning , function (biology) , field (mathematics) , radar tracker , systems engineering , engineering , telecommunications , mathematics , physics , civil engineering , evolutionary biology , biology , pure mathematics , optics , thermodynamics
By emulating the neuropsychological processes underpinning animal cognition, the field of cognitive radar seeks to improve performance compared to non‐adaptive systems. The fully adaptive radar (FAR) framework is an application agnostic means of implementing the perception–action cycle in radars. This work proposes a method of designing the FAR framework's component cost functions inspired by the field of multi‐objective optimisation. As an illustration, the general cost functions were used to implement waveform adaptation for single target tracking. Both simulated and experimental results demonstrated how altering the cost functions can tailor the FAR performance to specific radar operating modes.