Systems Engineering and Electronics ›› 2021, Vol. 43 ›› Issue (2): 546-554.doi: 10.12305/j.issn.1001-506X.2021.02.29

• Communications and Networks • Previous Articles     Next Articles

Recognition of convolutional interleaver at low SNR

Zhaojun WU1,2(), Limin ZHANG1(), Zhaogen ZHONG3()   

  1. 1. Institute of Information Fusion, Naval Aviation University, Yantai 264001, China
    2. The Southwest Institute of Electronics and Telecommunications, Chengdu 610041, China
    3. School of Basis Aviation, Naval Aviation University, Yantai 264001, China
  • Received:2019-12-18 Online:2021-02-01 Published:2021-03-16

Abstract:

In order to overcome the shortcomings of the existing algorithms for recognition of convolutional interleaver, such as high error probability and low recognition efficiency at low signal to noise ratio (SNR), the statistical characteristics of the constructed matrix are analyzed firstly. The functions of probability density for synchronous codes and the random bits are given, and the detection threshold of the synchronous codes based on the minimum error decision criterion is set. Secondly, a more robust threshold for recognition of interleaver period based on the three times standard deviation criterion is set. Then, the relationship between each row and column in the matrix is analyzed, and a fast method for traversing interleaver period is proposed, which could greatly reduce the times of constructing the matrix. Finally, the concept of polymerization degree is defined. Only through the double traversal, the recognition of the depth and width of interleaving could be completed, which greatly improves the efficiency. The simulation results show that the algorithm can effectively recognize the parameters of the convolutional interleaver at low SNR, the performance of the algorithm is improved by 1 dB to 2 dB compared with the existing methods, and the computation efficiency is improved significantly.

Key words: cognitive radio, convolutional interleaver, synchronization code, polymerization degree, blind recognition

CLC Number: 

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