Title :
FPGA-based implementation of a CFAR processor using Batcher´s sort and LUT arithmetic
Author :
Seddiq, Yasser M. ; Alshebeili, Saleh A. ; Alhumaidi, Sami M. ; Obied, Abdulfattah M.
Author_Institution :
Nat. Program of Electron., Comms., & Photonics, KACST, Riyadh, Saudi Arabia
Abstract :
This paper presents the realization of the forward automatic censored cell averaging detector (F-ACCAD), a novel CFAR algorithm for detecting targets in log-normal distribution clutter recently published . The algorithm is realized through an FPGA-based parallel architecture. The timing constraints of high resolution radar applications are considered and satisfied in the system. The sequential nature of the algorithm has been parallelized to achieve the desired processing delay. The intensive statistical calculations and the complexity of the algorithm have been significantly reduced by using lookup tables (LUTs). Batcher´s sort, a parallel sorting algorithm, is adopted in this work. The hardware synthesis results and timing analysis are reported at the end.
Keywords :
computational complexity; field programmable gate arrays; microprocessor chips; object detection; parallel architectures; radar clutter; radar resolution; statistical analysis; table lookup; Batcher sort; CFAR processor; FPGA-based implementation; FPGA-based parallel architecture; LUT arithmetic; constant false alarm rate; field programmable gate arrays; forward automatic censored cell averaging detector; hardware synthesis; high-resolution radar applications; log-normal distribution clutter; lookup tables; parallel sorting algorithm; statistical calculations; target detection; timing analysis; Arithmetic; Clutter; Delay; Detectors; Log-normal distribution; Parallel architectures; Radar applications; Radar detection; Table lookup; Timing; Batcher´s sort; CFAR; FPGA; LUT arithmetic; Radar; hardware implmantation;
Conference_Titel :
Design and Test Workshop (IDT), 2009 4th International
Conference_Location :
Riyadh
Print_ISBN :
978-1-4244-5748-9
DOI :
10.1109/IDT.2009.5404087