Results 31 to 40 of about 1,583 (182)

Constant false alarm rate detection method in polarimetric synthetic aperture radar imagery based on whitening filter under inverse beta distribution

open access: yesThe Journal of Engineering, 2019
The constant false alarm rate (CFAR) detection method based on multi-look polarisation whitening filter (MPWF) has not been obtained in the polarimetric synthetic aperture radar imagery when the texture variable obeys the Inverse Beta distribution.
Wang MingChun, Zhang JiaFeng, Liu Tao
doaj   +1 more source

Robust Control for the Detection Threshold of CFAR Process in Cluttered Environments

open access: yesSensors, 2020
The constant false alarm rate (CFAR) process is essential for target detection in radar systems. Although the detection performance of the CFAR process is normally guaranteed in noise-limited environments, it may be dramatically degraded in clutter ...
Jeong Hoon Shin, Youngjin Choi
doaj   +1 more source

Modified reference window for two-dimensional CFAR in radar target detection

open access: yesThe Journal of Engineering, 2019
The constant false alarm rate (CFAR) technology plays an important role in radar target detection. In cell averaging CFAR detectors, a reference window is usually adopted to estimate the average interference power in the range–Doppler matrix and to ...
Weijiang Wang   +4 more
doaj   +1 more source

An Improved Bilateral CFAR Ship Detection Algorithm for SAR Image in Complex Environment

open access: yesLeida xuebao, 2021
The Bilateral Constant False Alarm Rate (BCFAR) detection algorithm calculates the spatial information of Synthetic Aperture Radar (SAR) image by the Gaussian kernel density estimator, and combines it with the intensity information of image to obtain the
Jiaqiu AI   +5 more
doaj   +1 more source

A CFAR‐like detector based on neural network for simulated high‐frequency surface wave radar data

open access: yesIET Radar, Sonar & Navigation, 2023
This article presents a deep neural network‐based constant false alarm rate (NNB‐CFAR) detector for simulated high‐frequency surface wave radar (HFSWR) data.
Rômulo Fernandes daCosta   +3 more
doaj   +1 more source

SAR Target CFAR Detection Via GPU Parallel Operation

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
The constant false alarm rate with convolution and pooling (CP-CFAR) method, which can improve the detection efficiency via GPU parallel acceleration in the airborne synthetic aperture radar (SAR) images, is proposed in this paper.
Zongyong Cui   +5 more
doaj   +1 more source

CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory

open access: yesEURASIP Journal on Advances in Signal Processing, 2010
We propose a new constant false alarm rate (CFAR) detection method from noncoherent radar echoes, considering heterogeneous sea clutter. It applies the Bayesian theory for adaptive estimation of the local clutter statistical distribution in the cell ...
Wataru Suganuma, Hiroyuki Yamaguchi
doaj   +2 more sources

A novel design of algorithm and framework for decentralized CFAR signal detection without prior information

open access: yesMATEC Web of Conferences, 2018
In this paper, a fusion detection algorithm that focuses on decentralized CFAR (Constant False Alarm Rate) signal detection problem without prior information is proposed.
Wang Nan   +3 more
doaj   +1 more source

Study on CA-CFAR Algorithm Based on Normalization Processing of Background Noise for HI of Optical Fiber

open access: yesPhotonic Sensors, 2018
Optical fiber pre-warning system (OFPS) is often used to monitor the occurrence of disasters such as the leakage of oil and natural gas pipeline. It analyzes the collected vibration signals to judge whether there is any harmful intrusion (HI) events.
Yanping Wang   +3 more
doaj   +1 more source

A versatile hardware architecture for a constant false alarm rate processor based on a linear insertion sorter [PDF]

open access: yes, 2010
Constant False Alarm Rate (CFAR) algorithms are used in digital signal processing applications to extract targets from background in noisy environments.
JOSE ROBERTO PEREZ ANDRADE   +3 more
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