Low Complexity Keystone Transform and Radon Fourier Transform Utilizing Chirp-Z Transform

Culha O., TANIK Y.

IEEE ACCESS, vol.8, pp.105535-105541, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 8
  • Publication Date: 2020
  • Doi Number: 10.1109/access.2020.3000998
  • Journal Name: IEEE ACCESS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Directory of Open Access Journals
  • Page Numbers: pp.105535-105541
  • Keywords: Keystone transform, radon Fourier transform, range migration, chirp-z transform, RADAR TARGET DETECTION, NON-SEARCHING METHOD, HOUGH TRANSFORM, PARAMETER-ESTIMATION, TRACK, ALGORITHM
  • Middle East Technical University Affiliated: Yes

Abstract

Keystone Transform (KT) and Radon Fourier Transform (RFT) are two popular methods proposed to overcome range migration in radars. A major concern in these methods is the computational complexity for real time operations. In this paper, a low complexity implementation of recurrent chirp-z transform (CZT) is offered in order to be employed in fast KT with no loss in performance. Additionally, a novel RFT implementation utilizing recurrent CZT is proposed to take advantage of the fast execution of repeated CZT. A mathematical analysis and simulation results are presented to show the performance and efficiency of the proposed techniques.