Abstract

This paper considers high resolution direction finding in the presence of noise-like jammers for the case where the jammer-alone covariance matrix cannot be measured. We apply two versions of fourth order cumulant based higher order statistics (HOS) MUSIC methods to real data, discuss the super-resolution and the jammer suppression properties, and introduce a weighted HOS projection method which overcomes the deficiencies of standard HOS MUSIC with respect to remainders of Gaussian sources.

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 call

Disclaimer: 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.