Novel blind recognition method for self-synchronized scrambler
In non-cooperative communication systems,an adversary has to blindly estimate the coding parameters of scrambler from intercepted sequence.On the condition biased information source,a new method was proposed which can blindly recover the generating polynomial of self-synchronized scrambler.This meth...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2013-01-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0136-08/ |
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author | Hong-shu LIAO Ye YUAN Lu GAN |
author_facet | Hong-shu LIAO Ye YUAN Lu GAN |
author_sort | Hong-shu LIAO |
collection | DOAJ |
description | In non-cooperative communication systems,an adversary has to blindly estimate the coding parameters of scrambler from intercepted sequence.On the condition biased information source,a new method was proposed which can blindly recover the generating polynomial of self-synchronized scrambler.This method was based on the corrected squared Euclidean distance which was used to measure the distance between the actual stat ical probability and the uniform distribution.The simulation results verify the theory analysis and the validity of the algorithm. |
format | Article |
id | doaj-art-a4a5a889588946d0a606ce0e235609d3 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2013-01-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-a4a5a889588946d0a606ce0e235609d32025-01-14T06:34:12ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-01-013413614359668463Novel blind recognition method for self-synchronized scramblerHong-shu LIAOYe YUANLu GANIn non-cooperative communication systems,an adversary has to blindly estimate the coding parameters of scrambler from intercepted sequence.On the condition biased information source,a new method was proposed which can blindly recover the generating polynomial of self-synchronized scrambler.This method was based on the corrected squared Euclidean distance which was used to measure the distance between the actual stat ical probability and the uniform distribution.The simulation results verify the theory analysis and the validity of the algorithm.http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0136-08/self-synchronized scramblerblind recognitionbiased characteristic of the state of bitscorrected squared Euclidean distance |
spellingShingle | Hong-shu LIAO Ye YUAN Lu GAN Novel blind recognition method for self-synchronized scrambler Tongxin xuebao self-synchronized scrambler blind recognition biased characteristic of the state of bits corrected squared Euclidean distance |
title | Novel blind recognition method for self-synchronized scrambler |
title_full | Novel blind recognition method for self-synchronized scrambler |
title_fullStr | Novel blind recognition method for self-synchronized scrambler |
title_full_unstemmed | Novel blind recognition method for self-synchronized scrambler |
title_short | Novel blind recognition method for self-synchronized scrambler |
title_sort | novel blind recognition method for self synchronized scrambler |
topic | self-synchronized scrambler blind recognition biased characteristic of the state of bits corrected squared Euclidean distance |
url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0136-08/ |
work_keys_str_mv | AT hongshuliao novelblindrecognitionmethodforselfsynchronizedscrambler AT yeyuan novelblindrecognitionmethodforselfsynchronizedscrambler AT lugan novelblindrecognitionmethodforselfsynchronizedscrambler |