KFU. Card publication. Use of Hazard Function for Signal Detection on Ionograms

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

USE OF HAZARD FUNCTION FOR SIGNAL DETECTION ON IONOGRAMS

Form of presentation

Articles in international journals and collections

Year of publication

2018

Язык

английский

Authors, employees of KFU

Kolchev Aleksey Anatolevich, author

Bibliographic description in the original language

Kolchev A.A, Egoshin I.A., Use of Hazard Function for Signal Detection on Ionograms//IEEE Geoscience and Remote Sensing Letters. - 2018. - Vol.15, Is.6. - P.803-807.

Annotation

In this paper, a method for samples detection of ionosphere propagation modes in a signal spectrum at the output of a chirp ionosonde receiver is considered. A two-component mixture model is proposed for a statistical description of the spectral samples of such signal. It was assumed that the spectral samples of a detected signal are greater than the samples that are not related to the desired signal. Within this model it was found that a hazard function can be used for samples detection of a second component in the mixture at small values of its samples in the total number of samples. A method for signal detection of the ionosphere propagation modes on ionograms based on training sets is proposed. The training sets are divided into two classes: containing the desired signal and not containing the desired signal. An average normalized hazard function is determined by the training set, which does not contain the desired signal. Normalization is carried out in such a way that the hazard

Keywords

Geophysical signal processing, hazard function, image processing, ionosphere, signal detection

The name of the journal

IEEE Geoscience and Remote Sensing Letters

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045963394&doi=10.1109%2fLGRS.2018.2817394&partnerID=40&md5=1bd445579e1ef8e4e152c4ef086997f2

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=185162&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Kolchev Aleksey Anatolevich	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	Kolchev A.A, Egoshin I.A., Use of Hazard Function for Signal Detection on Ionograms//IEEE Geoscience and Remote Sensing Letters. - 2018. - Vol.15, Is.6. - P.803-807.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=185162&p_lang=2	ru_RU
dc.description.abstract	IEEE Geoscience and Remote Sensing Letters	ru_RU
dc.description.abstract	In this paper, a method for samples detection of ionosphere propagation modes in a signal spectrum at the output of a chirp ionosonde receiver is considered. A two-component mixture model is proposed for a statistical description of the spectral samples of such signal. It was assumed that the spectral samples of a detected signal are greater than the samples that are not related to the desired signal. Within this model it was found that a hazard function can be used for samples detection of a second component in the mixture at small values of its samples in the total number of samples. A method for signal detection of the ionosphere propagation modes on ionograms based on training sets is proposed. The training sets are divided into two classes: containing the desired signal and not containing the desired signal. An average normalized hazard function is determined by the training set, which does not contain the desired signal. Normalization is carried out in such a way that the hazard	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Geophysical signal processing	ru_RU
dc.subject	hazard function	ru_RU
dc.subject	image processing	ru_RU
dc.subject	ionosphere	ru_RU
dc.subject	signal detection	ru_RU
dc.title	Use of Hazard Function for Signal Detection on Ionograms	ru_RU
dc.type	Articles in international journals and collections	ru_RU