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2016 13th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2016
In radar the reflected signal is received by the antenna which is amplified, down converted and then the required signal is extracted (video signal). The video signal is then passed through Moving Target Indicator (MTI) processor which suppresses clutter.
Ahsan Jalil +2 more
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In radar the reflected signal is received by the antenna which is amplified, down converted and then the required signal is extracted (video signal). The video signal is then passed through Moving Target Indicator (MTI) processor which suppresses clutter.
Ahsan Jalil +2 more
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1993
This chapter discusses: linear and logarithmic constant false-alarm rate (CFAR) techniques and receivers; CFAR loss; the log CFAR technique for Weibull clutter; Weibull CFAR; the error in the estimation of the parameter from a finite number of samples; computer simulation of Weibull CFAR; weather clutter (with and without targets); window Weibull CFAR;
Toshimitsu Musha, Matsuo Sekine
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This chapter discusses: linear and logarithmic constant false-alarm rate (CFAR) techniques and receivers; CFAR loss; the log CFAR technique for Weibull clutter; Weibull CFAR; the error in the estimation of the parameter from a finite number of samples; computer simulation of Weibull CFAR; weather clutter (with and without targets); window Weibull CFAR;
Toshimitsu Musha, Matsuo Sekine
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Optimality of the cell averaging CFAR detector
IEEE Transactions on Information Theory, 1994The cell averaging constant false alarm rate detector has been assumed to be optimal for detecting Swerling I targets embedded in exponential clutter and noise of unknown power. This is because the detector uses a minimum variance unbiased estimate (which is also a maximum likelihood estimate) of the unknown clutter-plus-noise power to set the ...
Prashant P. Gandhi, Saleem A. Kassam
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OS characterization for local CFAR detection
IEEE Transactions on Systems, Man, and Cybernetics, 1991An order-statistic (OS) characterization for modeling clutter statistics at local detectors is presented. Important features of the OS characterization include its structure, which allows for parallel computations, and its degrees of freedom, which enable it to track various changes in the clutter statistics.
Kevin D. Donohue, Nihat M. Bilgutay
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An improved CFAR algorithm for target detection
2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2017The constant false alarm rate (CFAR) technique plays a key role in radar automatic detection process. The cell averaging (CA) CFAR procedure suffers from the masking effect in almost all the multitarget situations. The smallest of cell averaging (SOCA) CFAR has a better performance only when the interfering targets are present in the front or the rear ...
Chunmei Xu +5 more
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Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284), 2002
False alarm regulation is a critical requirement in modern surveillance radars. Present techniques are susceptible to poor false alarm control when operated in non-Gaussian backgrounds representative of real world situations. The conventional log-t CFAR is shown to be highly sensitive to the inclusion of small amounts of receiver noise in addition to ...
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False alarm regulation is a critical requirement in modern surveillance radars. Present techniques are susceptible to poor false alarm control when operated in non-Gaussian backgrounds representative of real world situations. The conventional log-t CFAR is shown to be highly sensitive to the inclusion of small amounts of receiver noise in addition to ...
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2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559), 2002
It is first shown how the two well-known, but quite differently structured CFAR algorithms, CAGO (cell averaging greatest of) CFAR and OS (ordered statistic) CFAR, can be freely combined. The result is the CAOS (cell averaging ordered statistic) CFAR. Against this background, a new CFAR algorithm is introduced.
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It is first shown how the two well-known, but quite differently structured CFAR algorithms, CAGO (cell averaging greatest of) CFAR and OS (ordered statistic) CFAR, can be freely combined. The result is the CAOS (cell averaging ordered statistic) CFAR. Against this background, a new CFAR algorithm is introduced.
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Rank Sum Nonparametric CFAR Detector in Nonhomogeneous Background
IEEE Transactions on Aerospace and Electronic Systems, 2021Xiangwei Meng
exaly
2002
We describe here a generic approach to CFAR processing, introduced in [74], which results in detection algorithms that tend to be robust to inhomogeneities in radar clutter. Termed as ensemble- or E-CFAR detection, it combines members from the family of known CFAR processors. It is simple and easy to implement.
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We describe here a generic approach to CFAR processing, introduced in [74], which results in detection algorithms that tend to be robust to inhomogeneities in radar clutter. Termed as ensemble- or E-CFAR detection, it combines members from the family of known CFAR processors. It is simple and easy to implement.
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Robustness of a CFAR detector to errors on the signal
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003The authors deals with the robustness (insensitivity) to errors on the assumptions of the receiver structure for the detection of a signal in nonstationary Gaussian noise with fluctuating power. The structure of this operation is a matched filter divided by a noise-amplitude estimate.
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