This example introduces constant false alarm rate (CFAR) detection and shows how to use CFARDetector and CFARDetector2D in the Phased Array System Toolbox™ to perform cell …

Constant false alarm rate (CFAR) detection is a common form of adaptive algorithm used in radar systems to detect target returns against a background of noise, clutter and interference.

The advantage of the CASH-CFAR algorithm is that it avoids alternate covering and aggregation of objects. Their time sidelobes resulting from the pulse compression are thereby reliably hidden by the …

Jul 22, 2024 · In a nutshell, the CA-CFAR algorithm processes a single azimuth of radar data using a sliding window approach. The central datapoint within the window is evaluated against the mean …

This project implements two types of CFAR (Constant False Alarm Rate) algorithms: SOCA (Smallest Of Cell Averaging) and GOCA (Greatest Of Cell Averaging). The project is organized into four main …

Oct 29, 2025 · Constant False Alarm Rate (CFAR) is a fundamental radar signal processing technique used for automatic target detection in the presence of varying noise and clutter environments.

This notebook demonstrates RadarSimPy's CFAR (Constant False Alarm Rate) detection capabilities. RadarSimPy provides built-in implementations of CA-CFAR and OS-CFAR algorithms for adaptive …

Abstract – Constant False Alarm Rate (CFAR) Detection is an adaptive algorithm used in Radar systems to detect the target echoes against a background of noise and clutter.

Constant False Alarm Rate (CFAR) (Gao et al., 2009) is a detection algorithm that works with the help of sliding windows and is used adaptively in radar systems in order to detect targets from SAR data …

Jan 13, 2023 · We propose a new CFAR algorithm that determines the environment of a received signal through a new decision criterion and applies the optimal CFAR algorithms such as the modified …