Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (8): 1702-1707.doi: 10.3969/j.issn.1001-506X.2018.08.05

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Blind identification of convolutional interleaver parameters based on zeromeanratio for common data link#br#

LONG Lang1,2, YANG Jun’an1,2, LIU Hui1,2, LIANG Zongwei1,2   

  1. 1. School of Electronic Countermeasure, National University of Defense Technology, Hefei 230037, China;
    2. Key Laboratory of Electronic Restricting Technique of Anhui Province, Hefei 230037, China
  • Online:2018-07-25 Published:2018-07-25

Abstract:

As the existing blind recognition algorithms in noncooperative reception are constrained by code length and have poor antierror performance, a blind identification algorithm of convolutional interleaver parameters based on zeromeanratio for common data link (CDL) is proposed in high speed transmission. Unlike the prior works, the interleaver parameter identification process is carried out for a generic case without any restriction on the codeword length. Combining the zeromeanratio with GaussJordan elimination through the pivoting algorithm, the distance of rank deficiency can be determined and the depth is estimated in the presence of bit errors. Finally, the blind identification can be realized through the combination of depth, width and synchronization. The proposed algorithm, nested loop algorithm and rank criterion algorithm are used for simulation tests under different bit error rates. The experimental results show that the proposed method can achieve a better performance compared with the existing algorithms in high bit error rate and can realize the identification of convolutional interleaver parameters for CDL.

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