Blind parameter estimation of turbo convolutional codes: Noisy and non-synchronized scenario

Swaminathan, R; Madhukumar, A. S.

doi:10.1016/j.dsp.2019.102577

Cited by 14 publications

(5 citation statements)

References 25 publications

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“…In recent years, research has been published on methods to reconstruct channel coding parameters under non-cooperative conditions, including convolutional codes [1,2], cyclic codes [3][4][5][6][7][8][9], turbo codes [10,11], and LDPC codes [12,13]. These blind reconstruction methods all presuppose that the received message sequence is not scrambled or that the scrambler is known.…”

Section: Introductionmentioning

confidence: 99%

Joint blind reconstruction of cyclic codes and self‐synchronous scramblers

2023

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The inverse analysis of the intercepted signals to reconstruct the communication scheme used by the transmitter is a key problem in the non‐cooperative context. In this paper, the problem of blind reconstruction of cyclic codes and self‐synchronous scramblers is considered. There is no existing solution to this problem. To solve this problem, a joint blind reconstruction method for cyclic codes and self‐synchronous scramblers is proposed in this paper. A lemma is proposed and proved theoretically that the maximum common factor of the inverse polynomial of the polynomial form of the dual vectors of the self‐synchronous scrambled bit matrix is the product of the parity polynomial of the cyclic code and the feedback polynomial of the self‐synchronous scrambler. Using this lemma, the joint blind reconstruction of the cyclic code and the self‐synchronous scrambler is completed. Finally, a Gaussian elimination based on random column exchange and soft information (GERCESI) method is proposed, which can apply the proposed method to a noisy environment. Simulations prove that the fault‐tolerance performance of the GERCESI method proposed in this paper is at least 0.5 dB higher than that of the GJETP method.

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Section: Introductionmentioning

confidence: 99%

Joint blind reconstruction of cyclic codes and self‐synchronous scramblers

2023

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“…A survey of modulation classification methods based on both traditional approaches is covered in [16]. Classification of channel codes in a non-cooperative context is discussed in [17], [18], and particularly, recognition of space-time block codes and turbo codes is presented in [19], [20] and [21], [22], respectively. Blind estimation of interleaver parameters has been addressed in [23]- [26], moreover, methods to estimate convolutional and block interleaver parameters are discussed in [27]- [30] and [31], [32], respectively.…”

Section: Introductionmentioning

confidence: 99%

A Robust Feature-Based Approach for Recognition of Line Coding Schemes

et al. 2022

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Decoding communication signals in a non-cooperative environment has always been a challenging task. Even after the estimation of various transmission-related parameters, the unknown received signal still cannot be decoded without the correct classification of the incorporated line coding scheme. In this paper, a robust short-sample feature-based approach is presented which recognizes line coding schemes in a sequential manner by an in-depth examination of linked characteristic features. The proposed approach provides an overall correct classification accuracy higher than 90 percent with an input of just 13 bit-waveforms whereas perfect classification accuracy (100 percent) is achieved with just 30 bitwaveforms of the unknown received signal. A detailed comparison considering noiseless as well as noisy channel environment is also carried out vis-à-vis existing approach based on extensive simulation results. Additionally, the paper bridges the gap between theory and simulations to justify the obtained accuracy results for conventional line codes under consideration. The substantial increase in classification accuracy for a smaller number of input bit-waveforms shall aid effective decoding of the unknown received signal even at the initial stages of reception. In general, it can benefit many practical spectrum surveillance applications, where proactiveness is paramount.

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“…This is because the communication protocol has many optional parameters and the intercepted signals may contain errors. In recent years, research has been published on methods for reconstructing channel coding parameters under non-cooperative conditions, including convolutional codes [1,2], cyclic codes [3,4], turbo codes [5,6], and LDPC codes [7,8]. Here, we study another important component of channel coding, namely linear scramblers.…”

Section: Introductionmentioning

confidence: 99%

Fast reconstruction of feedback polynomials for synchronous scramblers in a noisy environment

2022

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As one of the key technologies of modern communication, a linear scrambler is a technique to randomize the data to be transmitted at the bit layer to improve the timing recovery and confidentiality of the transmitted data. Therefore, the reconstruction of scramblers under non-cooperative communication conditions has attracted extensive research interest. Existing efficient reconstruction methods are implemented by traversing the primitive polynomial of all orders, leading to extremely high computational complexity. Here, a fast reconstruction method for feedback polynomials of synchronous scramblers is proposed. The order of the feedback polynomial is first estimated by a hypothesis testing method, and then the primitive polynomial of the corresponding order is traversed to reduce the traversal range of the primitive polynomial, which greatly reduces the computational complexity of the reconstruction method. The simulation results verify the performance of the scheme.

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Blind parameter estimation of turbo convolutional codes: Noisy and non-synchronized scenario

Cited by 14 publications

References 25 publications

Joint blind reconstruction of cyclic codes and self‐synchronous scramblers

Joint blind reconstruction of cyclic codes and self‐synchronous scramblers

A Robust Feature-Based Approach for Recognition of Line Coding Schemes

Fast reconstruction of feedback polynomials for synchronous scramblers in a noisy environment

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