Blind Estimation of Convolutional Interleaver Parameters

被引:0
|
作者
Jia Yong-qiang [1 ,2 ]
Li Li-ping [1 ]
Li You-zhu [3 ,4 ]
Gan Lu [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, Peoples R China
[2] Southwest Elect & Telecommun Technol Res Inst, Chengdu, Peoples R China
[3] Sichuan Normal Univ, Coll Comp Sci, Chengdu, Peoples R China
[4] Sichuan Univ, Inst Business & Adm, Chengdu, Peoples R China
基金
中国国家自然科学基金; 中央高校基本科研业务费专项资金资助;
关键词
convolutional interleave; blind estimation; block code; linearity; Gauss-Jordan elimination algorithm;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Interleaving, an important technique in digital wireless communications systems, is commonly used to improve robustness against burst errors because it provides a form of time diversity. The unitive mathematical model of the convolutional interleaver was presented for the first time and the blind estimation of convolutional interleaving parameters has been investigated using the linearity of the linear block code based on Gauss-Jordan elimination algorithm in this paper. It is easy to find out the parameters of convolutional interleaver when the proposed algorithm is extended to interleaved nonbinary codes sequence. The proposed algorithm uses only the intercepted interleaved stream to analyse a portion of the parity check linearity, and also requires less number of intercepted data bits and less calculated amount compared to previous approaches.
引用
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页数:4
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