Results 161 to 170 of about 12,039 (199)
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CFAR Outlier Detection With Forward Methods
IEEE Transactions on Signal Processing, 2007Separation or classification of signal-present samples from noise-only samples is studied. The false-alarm probability implies how many noise-only samples are wrongly classified as outliers, and typically it should be smaller than some upper limit. The noise distribution parameters are not known a priori and have to be estimated. Multiple outliers have
Saarnisaari Harri +3 more
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CFAR Processors in Pulse Jamming
2003In this paper we study the efficiency of CA CFAR BI, EXC CFAR BI and Adaptive CFAR PI detectors in strong pulse jamming. We achieve new results for the average decision threshold (ADT) using the minimum detectable signal (Pd=0.5). For comparison we use also the approach with Monte-Karlo simulation for estimation of the ADT of the studied CFAR detectors.
Ivan Garvanov +2 more
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Adaptive CFAR detection of multidimensional signals
2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002Adaptive detection of multidimensional signals in the presence of interference with unknown covariance matrix is an expanding topic in a variety of scenarios ranging from radar/sonar to digital communication systems. We attack the problem of detecting a multidimensional radar signal, modeled as an unknown N/spl times/H matrix, embedded in Gaussian ...
E. Conte +3 more
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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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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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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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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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CFAR detection for two correlated targets
Signal Processing, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mourad Barkat, Samira Dib
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Systolic architectures for radar CFAR detectors
International Conference on Acoustics, Speech, and Signal Processing, 1991The authors discuss several advances in the evolution of radar CFAR (constant false alarm rate) detectors, from the classical mean-level detector to more recent designs using order statistics, or sorted data values. These algorithms can be implemented by modifying the existing running window order statistic filtering techniques used in signal/image ...
Jenq-Neng Hwang, James A. Ritcey
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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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