Method of individual communication transmitter identification based on maximum correntropy

To measure the similarity between the fine features of communication transmitters, a method of individual communication transmitter identification based on maximum correntropy was put forward. Firstly, the square integral bispectra was extracted to characterise the communication transmitters, and th...

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Main Authors: Zhe TANG, Ying-ke LEI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-12-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016283/
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author Zhe TANG
Ying-ke LEI
author_facet Zhe TANG
Ying-ke LEI
author_sort Zhe TANG
collection DOAJ
description To measure the similarity between the fine features of communication transmitters, a method of individual communication transmitter identification based on maximum correntropy was put forward. Firstly, the square integral bispectra was extracted to characterise the communication transmitters, and then optimization function based on maximum correntropy criterion was constructed. Secondly, the half-quadratic technique transformed the nonlinear op-timization problem to a weighted linear least squares problem. Finally, for identifying the communication transmitters, the sparse coefficient computed by active set algorithm was utilized to construct the classifier. Using the FM radios with same manufacturer and model, the actually collected data sets verified the feasibility and effectiveness of the method.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2016-12-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-b028eb8381b24d6993659d52ffba2a0c2025-01-14T07:11:02ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-12-013717117559705542Method of individual communication transmitter identification based on maximum correntropyZhe TANGYing-ke LEITo measure the similarity between the fine features of communication transmitters, a method of individual communication transmitter identification based on maximum correntropy was put forward. Firstly, the square integral bispectra was extracted to characterise the communication transmitters, and then optimization function based on maximum correntropy criterion was constructed. Secondly, the half-quadratic technique transformed the nonlinear op-timization problem to a weighted linear least squares problem. Finally, for identifying the communication transmitters, the sparse coefficient computed by active set algorithm was utilized to construct the classifier. Using the FM radios with same manufacturer and model, the actually collected data sets verified the feasibility and effectiveness of the method.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016283/individual communication transmitter identificationmaximum correntropysparse representationhalf-quadraticlinear complementary problemactive set algorithm
spellingShingle Zhe TANG
Ying-ke LEI
Method of individual communication transmitter identification based on maximum correntropy
Tongxin xuebao
individual communication transmitter identification
maximum correntropy
sparse representation
half-quadratic
linear complementary problem
active set algorithm
title Method of individual communication transmitter identification based on maximum correntropy
title_full Method of individual communication transmitter identification based on maximum correntropy
title_fullStr Method of individual communication transmitter identification based on maximum correntropy
title_full_unstemmed Method of individual communication transmitter identification based on maximum correntropy
title_short Method of individual communication transmitter identification based on maximum correntropy
title_sort method of individual communication transmitter identification based on maximum correntropy
topic individual communication transmitter identification
maximum correntropy
sparse representation
half-quadratic
linear complementary problem
active set algorithm
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016283/
work_keys_str_mv AT zhetang methodofindividualcommunicationtransmitteridentificationbasedonmaximumcorrentropy
AT yingkelei methodofindividualcommunicationtransmitteridentificationbasedonmaximumcorrentropy