Blind Detection of Channel Parameters Using Combination of the Gaussian Elimination and Interleaving
Keywords:
Eavesdropping, Blind Detection, Gaussian Elimination, Interleaving
Abstract
Eavesdropping is a method to access the information. The eavesdropper needs some coding output parameters to access the information on an unspecified channel. Since there are various types of encoders to encode the message, considering a signal decoder for each encoder is not possible. So for retrieving the transmitted information, blind channel parameters detection is a good choice. Up to now various methods such as entropy, hamming weight, interleaving and Gaussian elimination have been proposed to detect blind parameters, but due to the high noise level, in long messages the algorithm has faced with high hardware complexity and accurate estimation. In the entropy method, the detection of parameters in long messages has a time complexity also in Gaussian elimination method we need to determine a threshold that is not reliable. the proposed method reduced the weaknesses of previous algorithms and this method guarantees some parameters estimation in the presence of different noises and its complexity is less than other algorithms. This algorithm is structurally composed of Gaussian elimination and interleaving algorithms. The proposed method well estimates the coded parameters in the presence of different noises.
References
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[26] Talati, S., & Amjadi, A. “Design and Simulation of a Novel Photonic Crystal Fiber with a Low Dispersion Coefficient in the Terahertz Band”. Majlesi Journal of Mechatronic Systems, Vol. 9(2), pp. 23-28, 2020.
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[2] Naseri, A.; Maymanat, M. “Proposed Algorithm for Channel Coding Detection in Communication Surveillance Systems”; J. Passiv. Def. Sci. & Tech. 2011, 2, pp. 101–110, 2011.
[3] Swaminathan, R.; Madhukumar, A. S. “Classification of Error Correcting Codes and Estimation of Interleaver Parameters in a Noisy Transmission Environment”; IEEE Transactions on Broadcasting. 2017, pp. 63, 463-478, 2017.
[4] Burel, G.; Gautier, R. “Blind estimation of encoder and interleaver characteristics in a non cooperative context”; In IASTED of the Int. Conf on communication. Pp. 275–280, 2003.
[5] Karimian, Y.; Ahmadian Attari, M. “Recognition of Parity Check Matrix Using Parity Elimination”; In IASTED of the Int. Conf on Mechanical Eng. and Tech. 2011.
[6] Swaminathan, R.; Madhukumar, A. S.; Wee Teck, NG.; Samson See, Ch. M. “Parameter Estimation of Convolutional and Helical Interleavers in a Noisy Environment”; IEEE Transactions On Broadcasting. pp. 6151 – 6167, 2017.
[7] Ramsey, J. “Realization of optimum interleavers”; IEEE Transactions. Inf. Theory. Pp. 338–345, 1970.
[8] Guillaume, S.; Sbastien H. “blind detection of interleaver parameters”; In Signal Processing, 450–462, 2009.
[9] Lin, Shu. ; Daniel, J. “Costello, Error_Control_Coding”; Pearson Education India. Pp. 704-712, 2004.
[10] Van Lint, J H. “introduction to coding theory”; Springer Science & Business Media, 1998.
[11] Yu, P.; Peng, H.; Li, J. “On blind recognition of channel codes within a candidate set”; IEEE Commun. Lett. Vol. 20, pp. 736–739, 2016.
[12] Li , G.; Liu, J.; Long, J.; Li, C.; Wu, G. “Blind Recognition of Binary Linear Block Code”; Int. Conf. on Computer Systems, Ele. and Control , 2018.
[13] Ching C, C.; Min, Y.-M.; Heng, C.-H.; Chia, H.-C. “A fully parallel BCH codec with double error correcting capability for NOR flash applications”; IEEE Int. Conf. on Acoustics, Speech and Signal Processing. Pp. 1605–1608, 2012.
[14] Xia, T.; Wu, H.-C. “Novel blind identification of LDPC codes using average LLR of syndrome a posteriori probability”; IEEE Trans. Signal Process. Vol. 62, pp.632–640, 2014.
[15] Yu, P.; Peng, H.; Li, J. “On blind recognition of channel codes within a candidate set”; IEEE Commun. Lett. 2016, 20, pp. 736–739, 2016.
[16] [Hashemi, Seyed Mohammad, Shahrokh Barati, Saeed Talati and Heshmat Noori. “A GENETIC ALGORITHM APPROACH TO OPTIMAL PLACEMENT OF SWITCHING AND PROTECTIVE EQUIPMENT ON A DISTRIBUTION NETWORK.” Vol. 11, No. 3, FEBRUARY 2016.
[17] O. Sharifi-Tehrani and S. Talati, “PPU Adaptive LMS Algorithm, a Hardware-Efficient Approach; a Review on”, Majlesi Journal of Mechatronic Systems, Vol. 6, No. 1, Jun. 2017.
[18] Hashemi. Seyed Mohammad, Abyari. Mohammad, Barati. Shahrokh, Tahmasebi Sanaz, Talati, Saeed. “A PROPOSED METHOD TO CONTROLLER PARAMETER SOFT TUNING AS ACCOMMODATION FTC AFTER UNKNOWN INPUT OBSERVER.” ARPN Journal of Engineering and Applied Sciences, Vol. 11, No. 5, MARCH 2016.
[19] S. Talati, A. Rahmati, and H. Heidari, “Investigating the Effect of Voltage Controlled Oscillator Delay on the Stability of Phase Lock Loops”, MJTD, Vol. 8, No. 2, pp. 57-61, May 2019.
[20] Saeed. Talati, Behzad. Ebadi, Houman. Akbarzade “Determining of the fault location in distribution systems in presence of distributed generation resources using the original post phasors“ QUID 2017, pp. 1806-1812, Special Issue No.1- ISSN: 1692-343X, Medellín-Colombia. April 2017.
[21] Saeed Talati, mohamadreza Hasani Ahangar, “Analysis, Simulation and Optimization of LVQ Neural Network Algorithm and Comparison with SOM”, MJTD, Vol. 10, No. 1, Jan. 2020.
[22] Saeed Talati, pouriya etezadifar, “Providing an Optimal Way to Increase the Security of Data Transfer Using Watermarking in Digital Audio Signals”, MJTD, Vol. 10, No. 1, Feb. 2020.
[23] Talati, S., Rahmati, A., & Heidari, H. “Investigating the Effect of Voltage Controlled Oscillator Delay on the Stability of Phase Lock Loops”. Majlesi Journal of Telecommunication Devices, Vol. 8(2), pp. 57-61, 2019.
[24] Talati, S., & Hassani Ahangar, M. R. “Combining Principal Component Analysis Methods and Self-Organized and Vector Learning Neural Networks for Radar Data”. Majlesi Journal of Telecommunication Devices, Vol. 9(2), pp. 65-69, 2020.
[25] Hassani Ahangar, M. R., Talati, S., Rahmati, A., & Heidari, H. “The Use of Electronic Warfare and Information Signaling in Network-based Warfare”. Majlesi Journal of Telecommunication Devices, Vol. 9(2), pp. 93-97, 2020.
[26] Talati, S., & Amjadi, A. “Design and Simulation of a Novel Photonic Crystal Fiber with a Low Dispersion Coefficient in the Terahertz Band”. Majlesi Journal of Mechatronic Systems, Vol. 9(2), pp. 23-28, 2020.
[27] MehdiAslinezhad, & MaryamA. Hejazi. “Turbine blade tip clearance determination using microwave measurement and k-nearest neighbour classifier-Measurement”, Elsevier.2020.
[28] MehdiAslinezhad, & MaryamA. Hejazi. “New Indices for Detection of Turbine blade Tip Deformation and Estimation of Clearance Extent Using Scattering Parameter”, Journal of Iranian Association of Electrical and Electronics Engineers.2018.
Published
2020-12-01
How to Cite
Aslinezhad, M., Mahmoudi, O., & Talati, S. (2020). Blind Detection of Channel Parameters Using Combination of the Gaussian Elimination and Interleaving. Majlesi Journal of Mechatronic Systems, 9(4), 59-67. Retrieved from https://ms.majlesi.info/index.php/ms/article/view/467
Section
Articles
