Volume 47 Issue 7
Jul.  2021
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Article Contents
WU Zhaojun, LIU Kai, ZHONG Zhaogen, et al. Recognition of packet interleaver at low SNR[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(7): 1387-1398. doi: 10.13700/j.bh.1001-5965.2020.0193(in Chinese)
Citation: WU Zhaojun, LIU Kai, ZHONG Zhaogen, et al. Recognition of packet interleaver at low SNR[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(7): 1387-1398. doi: 10.13700/j.bh.1001-5965.2020.0193(in Chinese)

Recognition of packet interleaver at low SNR

doi: 10.13700/j.bh.1001-5965.2020.0193
Funds:

National Natural Science Foundation of China 91538201

Taishan Scholar Special Foundation ts201511020

More Information
  • Corresponding author: LIU Kai. E-mail: wendao_2008@163.com
  • Received Date: 18 May 2020
  • Accepted Date: 07 Aug 2020
  • Publish Date: 20 Jul 2021
  • In view of the shortcomings of the existing algorithms for blind recognition of packet interleaver, which are high computational complexity and poor fault tolerance, a new recognition algorithm based on the distribution of synchronization codes after packet interleaving is proposed in this paper. Firstly, the proposed algorithm based on the statistical characteristics of data matrix gives the function of probability density distribution for synchronous code and random traffic data in any number of matrix columns, and based on the minimum error decision criterion, the detection threshold of synchronous code is set. At the same time, the detection threshold of robust interleaving period is set based on the criterion of 3 times standard deviation. Secondly, the corresponding relationship between each row and column in the data matrix is analyzed, and a fast interleaving period traversal method is proposed, which greatly reduces the number of times of data matrix construction. Finally, the four rules of distribution of synchronization codes are summarized, and by traversing the synchronization codes and utilizing the relationship of positions between synchronization codes, the parameters of synchronization positions, interleaving column and row can be identified efficiently. The simulation results show that the algorithm has a strong error tolerance at low SNR and the correct rate of parameter recognition can reach more than 98% at the SNR of -6 dB. At the same time, compared with the existing methods, its performance is improved by 4-10 dB and the calculation efficiency is significantly improved.

     

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