Low Complexity Keystone Transform and Radon Fourier Transform Utilizing Chirp-Z Transform
IEEE ACCESS, cilt.8, ss.105535-105541, 2020 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 8
- Basım Tarihi: 2020
- Doi Numarası: 10.1109/access.2020.3000998
- Dergi Adı: IEEE ACCESS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Directory of Open Access Journals
- Sayfa Sayıları: ss.105535-105541
- Anahtar Kelimeler: Keystone transform, radon Fourier transform, range migration, chirp-z transform, RADAR TARGET DETECTION, NON-SEARCHING METHOD, HOUGH TRANSFORM, PARAMETER-ESTIMATION, TRACK, ALGORITHM
- Orta Doğu Teknik Üniversitesi Adresli: Evet
Özet
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.