Results 71 to 80 of about 6,791,449 (184)
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
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.Traditional coherent integration detection methods based on the fractional Fourier transform (FRFT) suffer from high redundancy and difficulty in controlling the false alarm probability during detection fusion; existing feature detection methods that utilise the maximum singular value of the FRFT spectrum matrix fail to consider the impact of spectral ...
Yong Huang +3 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
core
Research on a New Comprehensive CFAR (Comp-CFAR) Processing Method
IEEE Access, 2019 Since the clutter statistics of marine radar are non-stationary and difficult to ascertain, the constant false-alarm rate (CFAR) processor based on some clutter statistical characteristics is hard to obtain the CFAR performance.
Yi Liu +4 more
doaj +1 more source
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This paper proposes a transmit‐receive joint compensation coherent integration method for pulse‐group frequency‐agile radar, which can maintain the frequency agility anti‐jamming advantage and be compatible with MTI processing and coherent integration.
Xiaotian Qin +4 more
wiley +1 more source
Learning to Detect with Constant False Alarm Rate
, 2022 We consider the use of machine learning for hypothesis testing with an emphasis on target detection. Classical model-based solutions rely on comparing likelihoods. These are sensitive to imperfect models and are often computationally expensive.
Diskin, Tzvi, Okun, Uri, Wiesel, Ami
core
Radio Physics and Radio Astronomy, 2017 Purpose: Efficiency analysis of the Cell-Averaging Constant False Alarm Rate processor (CA CFAR-processor) as applied to detection of stationary Gaussian signals against a normal noise background with unknown and/or varying from scan to scan power ...
V. G. Galushko
doaj +1 more source
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
core +1 more source
RD-CFAR: Fast and Accurate Constant False Alarm Rate Algorithm for Automotive Radar Application
Target detection using cameras or automotive radar to identify traffic or prevent collisions is an important issue in Autonomous Vehicles (AV) research. Traditional Constant False Alarm Rate (CFAR) methods are commonly employed. Although these methods are suitable for lightweight hardware, improving the target detection process often leads to losing ...
Jamal Kazazi +2 more
openaire +1 more source