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A Parity Check Matrix-Based Method for Identifying Parameter of Regular F-LDPC Codes

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Communications, Signal Processing, and Systems (CSPS 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1033))

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Abstract

The channel coding blind identification technology identifies the channel coding parameter by analyzing the coded data, then realizes the breakthrough from signal layer to information layer, which is widely used in signal monitoring, information acquisition, intelligent communication and other fields. This paper proposes a parity-check matrixbased F-LDPC codes parameter identification method by studying the F-LDPC codes coding mechanism and parity-check matrix generation principle, which can identify the repeat parameter and the puncture parameter of F-LDPC codes according to the parity-check matrix weight characteristics, and recover the equivalent random interleaving of FLDPC codes according to the parity-check matrix structure characteristics. The simulation results show that this method can achieve the recognition of the repeat parameter, the puncture parameter and the random interleaving of regular F-LDPC codes under the condition that the complete parity-check matrix is known.

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References

  1. Gallager R (1962) Low-density parity-check codes. IRE Trans Inform Theory 8(1):21–28. https://doi.org/10.1109/TIT.1962.1057683

    Article  MathSciNet  Google Scholar 

  2. Meredith J (2015) 3GPP technical specification group radio access network-study on downlink multiuser superposition transmission (must) for lte (release 13). Online Document, 3GPP. Technical Report36

    Google Scholar 

  3. Paul T, Ogunfunmi T (2008) Wireless LAN comes of age: understanding the IEEE 802.11 n amendment. IEEE Circ Syst Mag 8(1):28–54

    Google Scholar 

  4. Mohamed M, Zaki F, Mosbeh R (2010) Simulation of wimax physical layer: IEEE 802.16 e. Int J Comput Sci Network Secur (IJCSNS) 10(11):49–55

    Google Scholar 

  5. Chugg KM, Thiennviboon P, Dimou GD, Gray P, Melzer J (2005) New class of turbo-like codes with universally good performance and high-speed decoding. In: 2005 IEEE Military communications conference (MILCOM 2005). IEEE, pp 3117–3126

    Google Scholar 

  6. Halford TR, Bayram M, Kose C, Chugg KM, Polydoros A (2008) The F-LDPC family: high-performance flexible modern codes for flexible radio. In: 2008 IEEE 10th International symposium on spread spectrum techniques and applications. IEEE, pp 376–380

    Google Scholar 

  7. Melzer J, Chugg KM (2006) Irregular designs for two-state systematic with serial concatenated parity codes. In: 2006 IEEE Military communications conference (MILCOM 2006). IEEE, pp 1–6

    Google Scholar 

  8. Fossorier MP (2004) Quasicyclic low-density parity-check codes from circulant permutation matrices. IEEE Trans Inform Theory 50(8):1788–1793

    Article  MathSciNet  Google Scholar 

  9. Luo, L., Lei, Y., Li, X.: Ldpc code check vector recognition algorithm based on soft decision(in chinese). Journal of Data Acquisition & Processing/Shu Ju Cai Ji Yu Chu Li 35(1) (2020)

    Google Scholar 

  10. Bao X, Wang D, Liu W (2015) Closed set identification method of LDPC codes using soft demodulation sequence (in Chinese). Telecommun Eng 1:55–60

    Google Scholar 

  11. Xia T, Wu HC (2013) Novel blind identification of LDPC codes using average LLR of syndrome a posteriori probability. IEEE Trans Signal Process 62(3):632–640

    Article  MathSciNet  Google Scholar 

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Acknowledgements

This work is partially supported by Sichuan Science and Technology Program under Grant 2023YFSY0008 and 2023YFG0291, and partially supported by Yibin Science and Technology Program under Grant YBP-002.

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Correspondence to Xiaoqian Lu .

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Lu, X. et al. (2024). A Parity Check Matrix-Based Method for Identifying Parameter of Regular F-LDPC Codes. In: Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2023. Lecture Notes in Electrical Engineering, vol 1033. Springer, Singapore. https://doi.org/10.1007/978-981-99-7502-0_13

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  • DOI: https://doi.org/10.1007/978-981-99-7502-0_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7555-6

  • Online ISBN: 978-981-99-7502-0

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