Version 1
: Received: 24 March 2020 / Approved: 26 March 2020 / Online: 26 March 2020 (15:38:32 CET)
How to cite:
Saeed, T.; Hatem, G.; Abdul Sadah, J.; Ziboon, H. Design and Implementation of a New CFAR Based on Weighted and Statistical Algorithms. Preprints2020, 2020030397. https://doi.org/10.20944/preprints202003.0397.v1
Saeed, T.; Hatem, G.; Abdul Sadah, J.; Ziboon, H. Design and Implementation of a New CFAR Based on Weighted and Statistical Algorithms. Preprints 2020, 2020030397. https://doi.org/10.20944/preprints202003.0397.v1
Saeed, T.; Hatem, G.; Abdul Sadah, J.; Ziboon, H. Design and Implementation of a New CFAR Based on Weighted and Statistical Algorithms. Preprints2020, 2020030397. https://doi.org/10.20944/preprints202003.0397.v1
APA Style
Saeed, T., Hatem, G., Abdul Sadah, J., & Ziboon, H. (2020). Design and Implementation of a New CFAR Based on Weighted and Statistical Algorithms. Preprints. https://doi.org/10.20944/preprints202003.0397.v1
Chicago/Turabian Style
Saeed, T., Jafar Abdul Sadah and Hadi Ziboon. 2020 "Design and Implementation of a New CFAR Based on Weighted and Statistical Algorithms" Preprints. https://doi.org/10.20944/preprints202003.0397.v1
Abstract
In the radar system, detection represents a basic and important stage in the receiver side. The detection process is based on the thresholding criteria; two philosophies of this criteria, constant and adaptive threshold. The constant threshold is simple in design, but it has a mis-detection and does not control the false alarm rate. As for the adaptive threshold, it is powerful in target detection, and better control of the false alarm rate, where it is called Constant False Alarm Rate (CFAR). Lots of research in the CFAR design, but the gap in the previous works is that there is no CFAR algorithm can be working with all or most environmental fields and all or most target situations.In this paper, The CFAR, which can work with the most environment and most of the target situations, has been presented. The producing the design and implementation of the new practical CFAR processor is presented. Where, the new CFAR is a combination of the properties of three different CFAR algorithm (CA, OSGO, and OSSO), and from two different families; averaging and statistical. Where it has overperformed of it's is 97.25% for simulation and 96.25% for the implementable version for different target situations. The simulation analysis is made by using Matlab 2015, while the implementation is done by using Xilinx Spartan 700 3a.
Keywords
New-CFAR; WS-CFAR; FPGA; Radar detection
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.