False-Alarm Regulation in Log-Normal and Weibull Clutter

Goldstein, Garry

doi:10.1109/taes.1973.309705

Cited by 275 publications

(102 citation statements)

References 3 publications

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“…To suppress such clutter, a new method should be considered. To maintain a CFAR in Weibull clutter, for example, Goldstein proposed the log-t detector, which requires a logarithmic detector of the mean and standard deviation of the logarithm of the input clutter sample (14) . Hansen has proposed a Weibull CFAR detector that takes into account the nonlinear transformation from the Weibull to the exponential probability density function (15) .…”

Section: Suppression Of Weibull Cluttermentioning

confidence: 99%

Advances in Radar Signal Processing Techniques

Sekine

Sayama

2004

IEEJ Trans. FM

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Section: Suppression Of Weibull Cluttermentioning

confidence: 99%

Advances in Radar Signal Processing Techniques

Sekine

Sayama

2004

IEEJ Trans. FM

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“…As a reference, also two different fitting are included, the logistic distribution in green and the t-location scale distribution in blue, both overestimating the mean value of the real distribution. The detector proposed by Goldstein in [19] is the so-called log-T detector. Under the hypothesis that clutter has a log normal distribution, it can be demonstrated that the optimal detector in the case of log normal clutter can be written in the form:…”

Section: W-cfarmentioning

confidence: 99%

Fast Detection of Oil Spills and Ships Using SAR Images

et al. 2017

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Abstract:In this paper, we show the capabilities of a new maritime control system based on the processing of COSMO-SkyMed Synthetic Aperture Radar (SAR) images. This system aims at fast detection of ships that may be responsible for illegal oil dumping. In particular, a novel detection algorithm based on the joint use of the significance parameter, wavelet correlator and a two-dimensional Constant False Alarm Rate (2D-CFAR) is designed. Results show the effectiveness of such algorithms, which can be used by the maritime authorities to have a faster although still reliable response. The proposed algorithm, together with the short revisit time of the COSMO-SkyMed constellation, can help with tracking the scenario evolution from one acquisition to the next.

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“…Trunk와 George [5] 모델에 대한 연구가 진행되었다 [6]～ [9] . 로그-노멀 혹 으로 증가하게 된다 [10] . 레이더 분해 셀 내의 클러터 면적 c A 는 식 (1)과 같이 주어진다 [12] .…”

Section: ⅰ 서 론unclassified

Approximated Modeling Technique of Weibull Distributed Radar Clutter

Nam¹,

Ra²

2012

The Journal of Korean Institute of Electromagnetic Engineering

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Clutters are all unwanted radar returns to affect on detection of targets. Radar clutter is characterized by amplitude distributions, spectrum, etc. Clutter is modelled with considering these kinds of characteristics. In this paper, a Weibull distribution function approximated by uniform distribution function is suggested. Weibull distribution function is used to model the various clutters. This paper shows that the data generated by the approximated solution of Weibull distribution function satisfy the Weibull probability density function. This paper shows that the data generation time of approximated Weibull distribution function solution is reduced by 20 % compared with the generation time of original Weibull probability density function.

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False-Alarm Regulation in Log-Normal and Weibull Clutter

Cited by 275 publications

References 3 publications

Advances in Radar Signal Processing Techniques

Advances in Radar Signal Processing Techniques

Fast Detection of Oil Spills and Ships Using SAR Images

Approximated Modeling Technique of Weibull Distributed Radar Clutter

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