Blind recognition algorithm for IRA codes in noisy environment

被引：0
作者：
Chen J. [1 ]
Guo Y. [1 ]
Wang Y. [1 ]
Kuo Y. [1 ]
机构：
[1] School of Telecommunications Engineering, Xidian Univ., Xi'an
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2017年 / 44卷 / 06期
关键词：
Blind recognition; Channal coding; Dual vectors; Irregular repeat-accumulate codes;
D O I：
10.3969/j.issn.1001-2400.2017.06.002
中图分类号：
学科分类号：
摘要：
For noisy environment, the parity-check matrix of Irregular Repeat-Accumulate(IRA) codes is hard to reconstruct, moreover, the relationships of the large-scale complex interleaver are hard to recover. To solve the problems, a novel blind recognition algorithm is proposed. First, the code's length and synchronization are identified by applying rank criteria. Second, by implementing matrix transformation, the dual vectors of codewords are found. Then, by setting a threshold, the effective parity-check vectors of dual space are selected. According to the sparse characteristics of the IRA codes' parity-check matrix, the parity matrix can be reconstructed with effective parity-check vectors Finally, relationships of the interleaver can be recovered according to the characteristics of IRA codes. Simulation results show that the proposal can be used to estimate IRA codes encoding parameters and complete the blind recognition in the non-cooperative context with noise. © 2017, The Editorial Board of Journal of Xidian University. All right reserved.
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页码：8 / 13
页数：5
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