| Presentation | 2014-07-30 Time-Frequency Analysis based PSK Modulation Classification Xu ZHU, Takeo FUJII, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to realize improving signal detection probability using interference canceler and multi-system detection techniques in spectrum sharing environment in cognitive radio, it is required to classify the digital modulation type in noisy environment. The previous methods can hardly classify modulation type precisely unless high SNR (signal power to noise power ratio) is provided. To solve this problem, this paper proposes a novel method which is able to achieve the classification of variety phase modulation type. The features of phase shift are extracted by Pseudo Wigner-Ville time-frequency distribution. With the feature obtained above, simulation results indicated that this method offers an accurate classification even under SNR=0dB. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Modulation classification / Time-frequency analysis / synchronization |
| Paper # | SR2014-21 |
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| Conference Information | |
| Committee | SR |
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| Conference Date | 2014/7/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Smart Radio(SR) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Time-Frequency Analysis based PSK Modulation Classification |
| Sub Title (in English) | |
| Keyword(1) | Modulation classification |
| Keyword(2) | Time-frequency analysis |
| Keyword(3) | synchronization |
| 1st Author's Name | Xu ZHU |
| 1st Author's Affiliation | Advanced Wireless Communication research Center, The University of Electro-Communications() |
| 2nd Author's Name | Takeo FUJII |
| 2nd Author's Affiliation | Advanced Wireless Communication research Center, The University of Electro-Communications |
| Date | 2014-07-30 |
| Paper # | SR2014-21 |
| Volume (vol) | vol.114 |
| Number (no) | 165 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |