Symbol Rate Estimation utilizing Spectral Correlation for Automatic Modulation Classification
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概要
- 論文の詳細を見る
Many modulation schemes exhibit a peak along the cross-section of the spectral correlation density (SCD) at the carrier frequency, where the cyclic frequency of that peak represents the symbol rate of the received signal. In this paper, a symbol rate estimation technique for various modulated signals is proposed. Window functions are used to improve discrete Fourier transform (DFT) results, and a simple filter is used to amplify peaks across the cyclic frequency domain. The proposed technique can be used together with feature extraction to perform AMC. Simulation results show that the proposed technique can estimate the symbol rate and classify modulations with good performance at SNRs of 4dB and above.
- 2012-02-29
著者
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Haniz Azril
Dept. of Electrical & Electronic Engineering, Tokyo Institute of Technology
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Haniz Azril
Dept. Of Electrical & Electronic Engineering Tokyo Institute Of Technology
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Takada Jun-ichi
Dept. Of International Development Eng. Tokyo Institute Of Technology
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Rahman Md.
Dept. Of International Development Engineering Tokyo Institute Of Technology
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Kim Minseok
Dept. Of International Development Engineering Tokyo Institute Of Technology
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TAKADA Jun-ichi
Dept. of International Development Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology
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RAHMAN Md.Abdur
Dept. of International Development Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology
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KIM Minseok
Dept. of International Development Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology
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HANIZ Azril
Dept. of International Development Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology
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Rahman Md.
Dept. of Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET)
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Takada Jun-ichi
Dept. of Intemational Development Engineering Tkyo Institute of Technology
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Kim Minseok
Dept. of Intemational Development Engineering Tkyo Institute of Technology
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