基于多重分形譜的物理層幀結(jié)構(gòu)檢測算法研究

李歆昊; 張旻; 韓樹楠

doi:10.11999/JEIT170356

基于多重分形譜的物理層幀結(jié)構(gòu)檢測算法研究

doi: 10.11999/JEIT170356 cstr: 32379.14.JEIT170356

基金項(xiàng)目:

國家自然科學(xué)基金(61171170)，安徽省自然科學(xué)基金(1408085QF115)

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- 文章訪問數(shù): 993
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-04-20
- 修回日期: 2017-10-27
- 刊出日期: 2018-02-19

Study on Frame Structure Detection in Physical Layer Based on Multi-fractal Spectrum

Funds:

The National Natural Science Foundation of China (61171170), The Natural Science Foundation of Anhui Province (1408085QF115)

摘要

摘要: 針對解調(diào)數(shù)據(jù)有無物理幀結(jié)構(gòu)的檢測問題，該文提出了一種基于多重分形譜的物理層幀結(jié)構(gòu)檢測算法。首先，在定義序列有偏性與0, 1出現(xiàn)概率關(guān)系的基礎(chǔ)上，根據(jù)編碼序列、擾碼序列和物理幀的生成原理，通過計(jì)算相關(guān)序列中的0, 1出現(xiàn)概率推導(dǎo)出它們的有偏性關(guān)系，即物理幀、編碼序列和擾碼序列的有偏性逐漸減??；然后，利用上述結(jié)論并結(jié)合多重分形譜具有描述有偏性分布的特點(diǎn)，對待識別序列進(jìn)行固定長度拆分并計(jì)算多重分形譜寬度值；最后，通過觀察多重分形譜寬度值的分布實(shí)現(xiàn)解調(diào)數(shù)據(jù)有無物理幀結(jié)構(gòu)的檢測。仿真試驗(yàn)驗(yàn)證了算法的有效性，表明該算法具有一定的工程應(yīng)用價值。
- 物理層 /
- 幀結(jié)構(gòu) /
- 多重分形譜 /
- 有偏性
Abstract: In order to achieve the justification of whether a frame structure detection exists or not under the condition that protocol is unknown, an algorithm for frame structure detection in physical layer based on multi-fractal spectrum is proposed. Firstly, the relationship between bias and occurrence probability of 0 and 1 bit is defined. Through analyzing the generation principle of channel code, scrambler, frame sequence and calculating the occurrence probability of 0 and 1 bit, the conclusion is that the bias of synchronization word is larger than the others. Then, due to the above conclusion and the character that bias distribution can be described by multi-fractal spectrum, the width of multi-fractal spectrum of split sequences is calculated. At last, frame structure can be detected by observing distribution of the width of multi-fractal spectrum of split sequences. Simulation results show the proposed algorithm is effective, and it has value in engineering application.
- Physical layer /
- Frame structure /
- Multi-fractal spectrum /
- Bias

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