Abstract
This paper investigates the use of space-time adaptive processing (STAP) for high frequency surface wave radar (HFSWR) systems. STAP has hitherto been investigated in great detail for airborne radar systems; the majority of the adaptive algorithms that have been developed have been designed with a bias towards such applications. HFSWR systems are characterized by the severely limited number of data samples available to train the adaptive filter. In this paper we report on investigations in applying low-complexity STAP algorithms to HFSWR systems. In particular we focus on applying such algorithms on HFSWR data cube measurements heavily corrupted by ionospheric clutter. We then reflect on the implications of the results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
