Parameter Estimation of Turbo Code Encoder
Mehdi Teimouri,Ahmadreza Hedayat +1 more
- 18 Sep 2014
- Vol. 2014, pp 1-6
TL;DR: This paper proposes a novel method to estimate the above-mentioned code parameters by judiciously reducing the size of search space based on an analysis of the observed channel code output and shows that the proposed algorithm is highly robust against channel errors when it is fed with noisy observations.
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Abstract: The problem of reconstruction of a channel code consists of finding out its design parameters solely based on its output. This paper investigates the problem of reconstruction of parallel turbo codes. Reconstruction of a turbo code has been addressed in the literature assuming that some of the parameters of the turbo encoder, such as the number of input and output bits of the constituent encoders and puncturing pattern, are known. However in practical noncooperative situations, these parameters are unknown and should be estimated before applying reconstruction process. Considering such practical situations, this paper proposes a novel method to estimate the above-mentioned code parameters. The proposed algorithm increases the efficiency of the reconstruction process significantly by judiciously reducing the size of search space based on an analysis of the observed channel code output. Moreover, simulation results show that the proposed algorithm is highly robust against channel errors when it is fed with noisy observations.
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Citations
Blind parameter estimation of turbo convolutional codes: Noisy and non-synchronized scenario
Swaminathan R,A. S. Madhukumar +1 more
TL;DR: In this article, the authors proposed an algorithm for the blind estimation of code parameters and reconstruction of turbo convolutional encoder over noisy scenario, which is designed using two component codes along with an interleaver, and any imperfection in synchronization of received data for the proposed code parameter estimation algorithm is compensated through a bit position adjustment parameter.
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Reverse Engineering of Communications Networks: Evolution and Challenges.
TL;DR: The objective of this paper is to provide a comprehensive overview on the current methods for reverse engineering of communications networks and challenges and open research issues in this field are introduced.
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Estimating the number of users in TDMA networks based on redundancy of adaptive channel coding
TL;DR: A novel method is proposed to estimate the number of active users (NoAU) in wireless time division multiple access (TDMA) networks based on the redundancy of adaptive channel coding based on decision trees and machine learning.
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Reconnaissance de codes correcteurs
Audrey Tixier
- 14 Oct 2015
TL;DR: In this article, the authors propose a methode fait appel a la precedent for retrouver a list of parite satisfaites satisfaite par le code entrelace.
References
Design of parallel concatenated convolutional codes
Sergio Benedetto,Guido Montorsi +1 more
TL;DR: The separate contributions that the interleaver length and constituent codes give to the overall performance of the parallel concatenated code are characterized, and some guidelines for the optimal design of the constituent convolutional codes are presented.
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Detection and recognition of a binary linear code
TL;DR: An associated decision problem is formalized and it is proved it is NP-complete, and algorithms based on dual codewords recognition are suggested which will be efficient for codes of length up to 512 if thecodewords contain no more than 1.5 errors.
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Novel Blind Encoder Parameter Estimation for Turbo Codes
TL;DR: A novel blind parameter-estimation method, which identifies a turbo encoder as a non-systematic convolutional encoder preceded by a feedback encoder, is proposed in this paper.
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Algebraic method for blind recovery of punctured convolutional encoders from an erroneous bitstream
TL;DR: An algebraic method dedicated to the blind identification of punctured convolutional encoders, where the puncturing principle is used to increase the code rate to reduce the loss of the information data rate because of the redundancy introduced by the encoder.