Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2017

24.05.2017

Research on Blind Identification Method of Error Correcting Code Type

verfasst von: Xin-hao Li, Min Zhang, Quan Yuan

Erschienen in: Wireless Personal Communications | Ausgabe 4/2017

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Based on the distribution of run feature and rank difference feature of coding sequence, this paper proposed a method to identify the type of common coding sequence. Using the concept of run distribution in combination with analysis of random nature within the coding sequence, it can be distinguished that if the encoding type belongs to block codes or others. Based on the structural features of turbo codes, rank difference analysis following the split of the coding sequence can distinguish the encoding type from convolutional and turbo codes. Herein we describe simulation experiment, the results of which demonstrate the validity and applicability of the proposed method.
Vorheriger Artikel Message Dissemination in Vehicular Networks on the Basis of Agent Technology
Nächster Artikel Energy Efficient Power Allocation Scheme for Downlink Distributed Antenna System in Composite Fading Channel

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Zhang, Y., & Lou, C. (2010). Channel coding and recognition analysis. Beijing: Publishing House of Electronics Industry.
2.
Gallager, R. G. (1963). Low density cheek codes. Cambridge, Mass.: MIT Press.
3.
Li, Y. (2009). Study on encoding and decoding algorithm of LDPC code based on WiMAX (p. 06). Harbin: Harbin Institute of Technology.
4.
Vladislav, S., Kschischang, F. R., & Pasupathy, S. (2000). Gallager codes for CDMA applications. IEEE Transactions on Communications, 48(11), 1818–1828.CrossRefMATH
5.
Li, H. (2007). Encoding and implementation of LDPC codes in the DVB-S2. Changsha: Information and Communication Engineering Graduate School of National University of Defense Technology.
6.
Wang, K. (2013). The design of high performance LDPC codes and its application for cognitive radio networks. Beijing: Beijing Jiaotong University.
7.
Yang, X., & Gan, L. (2012). Blind estimation algorithm of the linear block codes parameters based on WHT. Journal of Electronics and Information Technology, 34(7), 1642–1646.CrossRef
8.
Zhang, C., Wanquan, P., & Bo, W. (2014). Construction of a new class of (2k,k,1) convolutional codes. Journal on Communications, 35(6), 200–206.
9.
Qi, T. (2013). Research on convolutional code based on 3G. Wuhan: Central China Normal University.
10.
He, X. (2013). Design and optimization of pseudo random interleaver in turbo code. Hangzhou: Hangzhou Dianzi University.
11.
Xu, Z., Zhang, K., Lu, Q., & Leng, G. (2001). Matrix theory concise guide. Beijing: Science Press.
12.
Bringer, J., & Chabanne, H. (2012). Code reverse engineering problem for identification codes. IEEE Transactions on Information Theory, 58(4), 2406–2412.MathSciNetCrossRefMATH
13.
Moosavi, R., & Larson, E. G. (2011). A fast scheme for blind identification of channel codes. In Global telecommunications conference (pp. 1–5). Linkoping.
14.
Park, S.-J., & Jeon, J.-H. (2009). Interleaver optimization of convolutional turbo coder for 802.16 systems. IEEE Communications Letters, 5(13), 339–341.CrossRef
15.
Shaker, S. W. (2014). DVB-RCS: Efficiently quantized turbo decoder. ICACT Transaction on Advanced Communications Technology, 2(3), 426–433.
16.
Debessu, Y. G., Wu, H.-C., & Jiang, H. (2012). Novel blind encoder parameter estimation for turbo codes. IEEE Communications Letters, 12(16), 1917–1920.CrossRef
17.
Xie, H., Wang, F. H., & Huang, Z. T. (2013). A method for blind recognition of convolutional interleaver. Journal of Electronics and Information Technology, 35(8), 1952–1957.CrossRef
18.
Wang, X., & Xiao, G. (2006). Error correcting code—Principle and method. Xian: Xidian University Press.
19.
Qi, L., Hao, S., & Li, J. (2011). Recognition method of RS codes based on Euclidean algorithm in galois field. Journal of Detection and Control, 33(2), 63–67.
20.
Wen, N., Yang, X., & Bai, Y. (2011). A new recognition method of RS codes. Electronic Information Warfare Technology, 26(2), 36–40.
21.
Zhou, P., & Gan, L. (2013). Blind recognition and parameter estimation of cyclic codes (p. 5). Chengdu: University of Electronic Science and Technology of China.
22.
Liu, J., & Yang, X. (2013). Research on channel coding of convolutional codes. Hefei: Electronic Engineering Institute.
23.
Chai, X., Cai, K., Lv, S., et al. (2010). Research on blind identification of convolutional codes. Journal of Circuits and Systems, 15(4), 38–44.
24.
Wei, Y. (2013). Research on the decoding algorithms of channel codes in 3GPP UMTS and LTE systems. Shanghai: Shanghai Jiaotong University.
25.
Wang, D., & Kobasyashi, H. (2009). Low-complexity MAP decoding for turbo codes. In Proceedings of IEEE vehicular technology (pp. 1035–1039).
26.
Reng, D. (2013). High speed turbo decoding and cooperative spectrum sensing for next generation wireless communications. Xian: Xidian University.
27.
Li, X. (2011). Key technologies of protocol identification for CCSDS data link layer. Beijing: Center for Space Science and Applied Research Chinese Academy of Sciences.
Metadaten
Titel
Research on Blind Identification Method of Error Correcting Code Type
verfasst von
Xin-hao Li
Min Zhang
Quan Yuan
Publikationsdatum
24.05.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4469-8

Weitere Artikel der Ausgabe 4/2017

Wireless Personal Communications 4/2017 Zur Ausgabe

OriginalPaper

Pairing and Scheduling for Large Array MIMO Using Regularized Channel Inversion Receivers Over Nakagami-m Fading

OriginalPaper

Secured Self Organizing Network Architecture in Wireless Personal Networks

OriginalPaper

The Entanglement Level and the Detection of Quantum Data Transfer Correctness in Short Qutrit Spin Chains

ReviewPaper

From Sensing to Predictions and Database Technique: A Review of TV White Space Information Acquisition in Cognitive Radio Networks

OriginalPaper

Two Novel Adaptive Transmission Schemes in a Decode-and-Forward Relaying Network

OriginalPaper

Energy Efficient Power Allocation Scheme for Downlink Distributed Antenna System in Composite Fading Channel

Neuer Inhalt

    Bildnachweise