基于多重分形特征的通信調(diào)制方式識別研究
doi: 10.11999/JEIT150703
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1.
(解放軍電子工程學(xué)院 合肥 230037) ②(解放軍95915部隊 天津 301612)
基金項目:
國家自然科學(xué)基金(61571446),安徽省自然科學(xué)基金(KY13C152)
Communication Modulation Recognition Based on Multi-fractal Dimension Characteristics
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1.
(PLA Electronic Engineering Institute, Hefei 230037, China)
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2.
(Unit 95915 of PLA, Tianjin 301612, China)
Funds:
The National Natural Science Foundation of China (61571446), The Natural Science Foundation of Anhui Province (KY13C152)
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摘要: 該文提出一種基于多重分形特征的數(shù)字通信信號調(diào)制方式識別新方法。對接收信號進(jìn)行去噪預(yù)處理,基于2維數(shù)據(jù)陣列求取信號的廣義維數(shù)和多重分形譜;詳細(xì)討論了權(quán)重因子q對多重分形譜的影響,提取了13個多重分形特征參數(shù);設(shè)計了基于多重分形特征的支持向量機(jī)分類器對不同信號進(jìn)行調(diào)制方式識別。仿真結(jié)果表明,該算法在低信噪比情況下具有很好的識別性能。
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關(guān)鍵詞:
- 調(diào)制方式識別 /
- 多重分形特征 /
- 廣義維數(shù) /
- 支持向量機(jī)
Abstract: A new modulation recognition algorithm of digital communication signals based on the multi-fractal dimension characteristics is proposed. Employing preprocessing the received signal, the generalized dimension and the multi-fractal spectrum can be calculated by 2D data array. The effect of multi-fractal spectrum due to the weighted factorsq is discussed in detail, the 13 multi-fractal characteristic parameters are extracted. The Support Vector Machine (SVM) classifier based on the multi-fractal dimension characteristics is designed for recognition of different modulation signals. Simulation results show that the proposed method has a good recognition performance under low SNR. -
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