Polarimetric approach to detection of probable aircraft icing zones. Icing detection algorithms

Pitertsev, A.A.; Yanovsky, F.J.

doi:10.1109/eumc.2007.4405503

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…In [9], [10], [11], the theoretical aspects of the detecting icing zones are developed and clearly demonstrated. In order to create a dangerous to fly zone a certain amount of supercooled water droplets in the liquid phase on the flight route of the aircraft is required.…”

Section: Polarimetric Parameters Of Reflected Signalsmentioning

confidence: 99%

Polarimetric radar as a device for detecting potentially dangerous zones of aircraft icing

Pitertsev

Yanovsky

2014

2014 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)

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This paper is dedicated to remote detection of one of the most dangerous meteorological phenomena that significantly influences to all types of aircraft both civil and military. The best icing protection method is to prevent it formation. To do this, the pilot needs information about a zone of possible icing on the aircraft path. Such information can be obtained using airborne polarimetric radar. Here we discuss the results of modeling and data analysis that are necessary for development of signal processing algorithms to detect potentially dangerous zones in the atmosphere to avoid aircraft icing-inflight.

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Section: Polarimetric Parameters Of Reflected Signalsmentioning

confidence: 99%

Polarimetric radar as a device for detecting potentially dangerous zones of aircraft icing

Pitertsev

Yanovsky

2014

2014 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)

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“…The input membership functions are constructed using prior knowledge about the typical value of the polarimetric radar measurements in each class, which is well reported in existing literature [1][2][3][4][5][6][7][8][9]. Lightning is associated with ice crystals vertically oriented by electric field in cloud [3], [8], [9].…”

Section: Fuzzy Detector and Classifier Architecturementioning

confidence: 99%

“…Lightning is associated with ice crystals vertically oriented by electric field in cloud [3], [8], [9]. Aircraft icing results by the impact of supercooled droplets or supercooled rains [4] with flying aircraft [6], [7]. Lightning and aircraft icing happened in clouds, which are formed in the temperature above 0°C, therefore, additional information about the altitude of 0°C is required.…”

Section: Fuzzy Detector and Classifier Architecturementioning

confidence: 99%

Fuzzy detection and classification of dangerous weather phenomena using dual-polarimetric radar measurements

Dang

Yanovsky

2009

SPIE Proceedings

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A fuzzy detector and classifier of dangerous weather phenomena based on polarimetric radar measurements are described in this paper. Five polarimetric radar measurands, namely, horizontal reflectivity factor, differential reflectivity factor, linear depolarization ratio, specific differential phase, cross-correlation coefficient and altitude of resolution volume serve as inputs of the fuzzy detector and classifier. The output of the fuzzy detector and classifier is one of 8 possible classes: 0) No dangerous weather phenomenon is detected; 1) Lightning; 2) Aircraft icing; 3) Hail; 4) Hail+rain; 5) Heavy rain; 6) Wet snow; 7) Dense snow. A neural network backpropagation algorithm is also considered for training the fuzzy detector and classifier in case of having verified data.

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Polarimetric approach to detection of probable aircraft icing zones. Icing detection algorithms

Cited by 2 publications

References 3 publications

Polarimetric radar as a device for detecting potentially dangerous zones of aircraft icing

Polarimetric radar as a device for detecting potentially dangerous zones of aircraft icing

Fuzzy detection and classification of dangerous weather phenomena using dual-polarimetric radar measurements

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