講演抄録/キーワード |
講演名 |
2014-07-30 16:10
Time-Frequency Analysis based PSK Modulation Classification ○Xu Zhu・Takeo Fujii(Univ. of Electro-Comm.) SR2014-21 |
抄録 |
(和) |
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 proposed 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. |
(英) |
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 proposed 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. |
キーワード |
(和) |
Modulation classification / Time-frequency analysis / synchronization / / / / / |
(英) |
Modulation classification / Time-frequency analysis / synchronization / / / / / |
文献情報 |
信学技報, vol. 114, no. 165, SR2014-21, pp. 7-11, 2014年7月. |
資料番号 |
SR2014-21 |
発行日 |
2014-07-23 (SR) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SR2014-21 |