Abstract
The range migration (RM) and Doppler frequency migration (DFM) are the two major problems faced by radar maneuvering target detection. Unlike the existing algorithms which focus on the correction of RM and DFM in the fixed pulse repetition interval (PRI) system, this paper proposes a novel method which can further realize coherent integration in the random PRI system. The proposed method firstly conducts the multi-dimensional search for the maneuvering target's trajectory, then compensates DFM and realizes coherent integration via the nonuniform polynomial sparse Fourier transform (NUPSFT). As a linear algorithm, the proposed method can detect multiple weak targets without generating any cross term. Moreover, a high processing efficiency can be obtained thanks to the application of sparse Fourier transform (SFT). Both theoretical analysis and simulation results have validated the effectiveness of the proposed method.
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.
