Abstract: This paper presents algorithms for improving Constant False Alarm Rate (CFAR) detections on raw radar data matrices. Acceleration of radar signal processing was assessed by the application ...

Abstract: To address the shortcomings of traditional CA-CFAR (Cell-Averaging Constant False Alarm Rate) algorithms, which suffer from excessive threshold elevation leading to missed detections in ...

The authors propose a parallel implementation of the Cell Average Constant False Alarm Rate (CA-CFAR) algorithm in reconfigurable hardware. The design is based on a parallel processing scheme ...

A lightweight, single-file pipeline for detecting vessels in SAR (Synthetic Aperture Radar) imagery using the Cell-Averaging CFAR algorithm, with geofence filtering and GeoJSON export. CFAR is a radar ...

Radar target detection has evolved from simple threshold‐based approaches to sophisticated adaptive and learning-based methods, driven by the need to identify increasingly small, fast or ...