Results 71 to 80 of about 1,583 (182)
Design and experimental validation of knowledge-based constant false alarm rate detectors
, 2007 This paper deals with the design and the analysis of constant false alarm rate (CFAR) detectors exploiting knowledge-based (KB) processing techniques. The proposed algorithms are composed of two stages.
DE MAIO, ANTONIO, A. Farina, G. Foglia
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A Joint Detection Method Using Modulated Envelope Feature for Clutter Suppression
IET Signal Processing, Volume 2026, Issue 1, 2026.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
PCA-Based Matrix CFAR Detection for Radar Target
Entropy, 2020 In radar target detection, constant false alarm rate (CFAR), which stands for the adaptive threshold adjustment with variation of clutter to maintain the constant probability of false alarm during the detection, plays an important role.
Zheng Yang, Yongqiang Cheng, Hao Wu
doaj +1 more source
A Low‐Complexity Target Detection Technique Using the Prefix Sum Algorithm
Electronics Letters, Volume 61, Issue 1, January/December 2025.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
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Radar data extraction and constant false alarm rate (CFAR) processing
, 2002 Digital signal processing is essential to any modern radar and communication system. The motivation of this research was aimed to develope the analog-to-digital converter and Constant False Alarm Rate (CFAR) detector of the radar signal processing system.
Zhao, Lei.
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The adaptive coherence estimator is the generalized likelihood ratio test for a class of heterogeneous environments [PDF]
, 2008 The adaptive coherence estimator (ACE) is known to be the generalized likelihood ratio test (GLRT) in partially homogeneous environments, i.e., when the covariance matrix Ms of the secondary data is proportional to the covariance matrix Mp of the vector ...
Bidon, Stéphanie +2 more
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Performance evaluation of CA-, GO- and SO-CFAR processors in a non-centered Lévy-distributed clutter
Majlesi Journal of Electrical EngineeringConstant false alarm rate (CFAR) processors are critical for radar reliable target detection in radar systems. Traditional CFAR designs often assume Gaussian clutter, which may not reflect real-world conditions.
El-Hadi Meftah +2 more
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Radar Manoeuvring Target Detection Based on RANSAC Algorithm
Electronics Letters, Volume 61, Issue 1, January/December 2025.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
CONSTANT FALSE ALARM RATE DETECTION IN GAUSS DISTRIBUTED ENVIRONMENTS
, 2007 Klasik radar alıcıları, ortama ait istatistiğin bilindiği varsayılarak, hata olasılığını belli bir değerde tutarak, sabit bir eşik değeriyle çalışacak şekilde tasarlanır.
EROL, Remzi
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CFARnet: deep learning for target detection with constant false alarm rate
, 2023 We consider the problem of target detection with a constant false alarm rate (CFAR). This constraint is crucial in many practical applications and is a standard requirement in classical composite hypothesis testing. In settings where classical approaches
Diskin, Tzvi +3 more
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