Results 51 to 60 of about 381 (138)
A Joint Detection Method Using Modulated Envelope Feature for Clutter Suppression
To reduce the impact of clutter on the target observation of surveillance radars, this article offers a new feature detection method that relies on modulation features throughout the radar azimuth scanning process to suppress clutter false alarms. In contrast to typical traditional time‐domain detection methods, this work deviates from the standard ...
Sudao Xie +3 more
wiley +1 more source
CFAR Target Detector in Synthetic Aperture Radar
Introduction. Constant false alarm rate (CFAR) detectors have found application in synthetic aperture radar (SAR) systems. The operating principle of a classic cell averaging detector (CA-CFAR detector) is based on comparing the decision statistics in ...
A. A. Monakov
doaj +1 more source
PERFORMANCE ANALYSIS OF A MODIFIED CFAR BASED RADAR DETECTOR UNDER PEARSON DISTRIBUTED CLUTTER [PDF]
An adaptive target detector in radar system is used to extract targets from background in noisy environment of unknown statistics. The constant false alarm rate (CFAR) is well known detection algorithm that is being used in almost every modern radar. The
Amritakar Mandal +2 more
doaj
A Low‐Complexity Target Detection Technique Using the Prefix Sum Algorithm
The conventional CA‐CFAR technique has a time complexity of O(n4). A novelty CA‐CFAR technique based on the prefix sum algorithm with a complexity O(n2) is proposed in this article. ABSTRACT A conventional target detection technique for FMCW millimeter‐wave radar applies a two‐dimensional (2D) cell‐averaging constant false alarm rate (CA‐CFAR) detector
Li Zhang, Hai Lin, Ke Wang, Feng Zhang
wiley +1 more source
Radar Manoeuvring Target Detection Based on RANSAC Algorithm
This letter presents a novel random sample consensus (RANSAC)‐based algorithm for detecting manoeuvring targets in radar systems. The proposed method circumvents the requirement for Doppler migration correction and can be widely applied to to various target motion profiles.
Hui Wang +4 more
wiley +1 more source
Robust Truncated Statistics Constant False Alarm Rate Detection of UAVs Based on Neural Networks
With the rapid popularity of unmanned aerial vehicles (UAVs), airspace safety is facing tougher challenges, especially for the identification of non-cooperative target UAVs.
Wei Dong, Weidong Zhang
doaj +1 more source
Detecting flying objects in synthetic aperture radar images using Moving Target Indicator methods
This paper presents a moving target indicator detection method (MTI) for detecting planes during take‐off in synthetic aperture radar data, and a theoretical ground‐clutter suppression method via cross‐track interferometry to detect airborne targets. The MTI method combines interferometric processing, acceleration compensation, and autofocus techniques.
Elliot J. Hansen +2 more
wiley +1 more source
Adaptive Constant False Alarm Rate Detector Based on Long Short-term Memory Network [PDF]
To solve the problem of degradation of detection performance of adaptive constant false alarm rate (CFAR) detectors due to low accuracy of environment recognition, an automatic clipping adaptive CFAR detector based on long short-term memory (LSTM ...
C. Xiu, Y. Li
doaj
The target detection method based on a constant false alarm rate (CFAR) and feature space is commonly used in remote sensing for detecting maritime targets within sea clutter.
Xingyu Jiang +6 more
doaj +1 more source
Robust Test Statistic for Cooperative Spectrum Sensing Based on the Gerschgorin Circle Theorem
The Gerschgorin circle theorem was recently applied to build two detectors for the purpose of spectrum sensing in cognitive radio applications, the so-called Gerschgorin radius-based and the Gerschgorin disk-based detectors.
Dayan Adionel Guimaraes
doaj +1 more source

