Results 181 to 190 of about 4,494 (215)
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Environment detection with Kalman filter for CFAR detectors
2012 18th Asia-Pacific Conference on Communications (APCC), 2012The constant false alarm rate (CFAR) detector is a representative detection method for radar systems. Its detection performance is severely depending on clutter environments such as homogeneous and non-homogeneous. Depending on the environment, we have to adopt different CFAR algorithms.
Seong Won Hong, Dong Seog Han
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A New Polarimetric CFAR Ship Detection System
2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006The objective of the proposed work is to develop optimal polarimetric Constant False Alarm Rate (CFAR) detector for ship detection. Polarimetric transformations and decompositions, clutter analysis, modeling, Principal Component Analysis (PCA), and multi-CFAR detection are the necessary components of optimal polarimetric CFAR ship detectors.
Ting Liu 0004, George A. Lampropoulos
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Matched subspace CFAR detection of hovering helicopters
IEEE Transactions on Aerospace and Electronic Systems, 1999A constant false alarm rate (CFAR) strategy for detecting a Gaussian distributed random signal against correlated non-Gaussian clutter is developed. The proposed algorithm is based on Scharf's matched subspace detector (MSD) and has the CFAR property with respect to the clutter amplitude probability density function (apdf), provided that the clutter ...
GINI, FULVIO, A. Farina
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IEEE Transactions on Aerospace and Electronic Systems, 1995
Presented here is a large class of adaptive array detection algorithms with constant false alarm rate (CFAR), so that the false alarm rate can be set to any preassigned number without knowledge of the noise covariance matrix. This class map incorporate any usual method of cell averaging and any method for array weight vector synthesis.
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Presented here is a large class of adaptive array detection algorithms with constant false alarm rate (CFAR), so that the false alarm rate can be set to any preassigned number without knowledge of the noise covariance matrix. This class map incorporate any usual method of cell averaging and any method for array weight vector synthesis.
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CFAR detection and estimation for STAP radar
IEEE Transactions on Aerospace and Electronic Systems, 1998The algorithm presented here provides both a constant false-alarm rate (CFAR) detection and a maximum likelihood (ML) Doppler-bearing estimator of a target in a background of unknown Gaussian noise. A target is detected, and its parameters estimated within each range gate by evaluating a statistical test for each Doppler-angle cell and by selecting the
I.S. Reed, Y.L. Gau, T.K. Truong
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CFAR detection for multiple target situations
IEE Proceedings F Radar and Signal Processing, 1989In the paper, three detectors are proposed and studied in the presence of interfering targets in the reference cells. In the weighted cell-averaging constant false-alarm rate (WCA-CFAR) detector the means generated by the leading and the lagging range cells are weighted in accordance with the level of the interference.
M. Barkat, S.D. Himonas, P.K. Varshney
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2010 IEEE 18th Signal Processing and Communications Applications Conference, 2010
In automatic target detection radars, adaptive constant false alarm rate (CFAR) processors, which determine the threshold, are examined. Two techniques are used for achieving the required CFAR. The first technique determines the adaptive threshold using range neighbouring cells which are located in sliding window. The second one is based on clutter map.
Mustafa Mutlu Can, Mucahit Uner
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In automatic target detection radars, adaptive constant false alarm rate (CFAR) processors, which determine the threshold, are examined. Two techniques are used for achieving the required CFAR. The first technique determines the adaptive threshold using range neighbouring cells which are located in sliding window. The second one is based on clutter map.
Mustafa Mutlu Can, Mucahit Uner
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A multistage STAP CFAR detection technique
Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197), 2002This paper introduces a new method of partially adaptive CFAR detection. The processor implements a novel sequence of orthogonal subspace projections to decompose the Wiener solution in terms of the cross-correlation observed at each stage. The detection performance is evaluated in the general framework of space-time adaptive processing.
J.S. Goldstein +3 more
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CFAR adaptive detection of distributed signals
Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2005We consider the problem of detecting distributed signals described by the second order Gaussian models in the presence of noise whose covariance structure and level are both unknown. Such a detection problem is often called the "Gauss-Gauss" problem in that both the signal and the noise are assumed to have Gaussian distributions.
null Yuanwei Jin, B. Friedlander
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Optimal CFAR detection in Weibull clutter
IEEE Transactions on Aerospace and Electronic Systems, 1995Optimal, in the maximum likelihood sense, constant false-alarm rate (CFAR) detection for Weibull clutter statistics, is investigated. The proposed OW (optimal Weibull) estimator is proved to be an asymptotically efficient estimator of the mean power of the Weibull clutter.
V. Anastassop, G.A. Lampropoulos
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