講演名 | 2013-02-01 Low Complexity Automatic Modulation Classification Technique for Multiple Modulation Schemes , |
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抄録(英) | In this article, we present a low computational complexity automatic modulation classification (AMC) method for multiple modulation schemes. AMC is a technique which identifies the modulation scheme of the transmitted signals only from received signals. To reduce the numerical complexity of the detector, we approximate probability density functions (PDF) of received signals. To verify that our detector is robust to the uncertainty in noise variance, we compare the case that the noise variance is available with the one that the noise variance is unavailable. It is demonstrated that the potential of our proposed method in detecting a certain modulation schemes from multiple candidates. Numerical simulations are provided to assess the performance of our proposed methods. To show the robust multiple schemes detection, we also compare the effectiveness of our proposed detector in detecting the modulation scheme with the recently proposed generalized likelihood ratio test (GLRT)-based spectrum sensing method for cognitive radio which requires some prior information. |
キーワード(和) | |
キーワード(英) | Automatic modulation classification / NP detector / Probability density function / GLRT |
資料番号 | SIP2012-98,RCS2012-255 |
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研究会情報 | |
研究会 | SIP |
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開催期間 | 2013/1/24(から1日開催) |
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講演論文情報詳細 | |
申込み研究会 | Signal Processing (SIP) |
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本文の言語 | ENG |
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タイトル(英) | Low Complexity Automatic Modulation Classification Technique for Multiple Modulation Schemes |
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キーワード(1)(和/英) | / Automatic modulation classification |
第 1 著者 氏名(和/英) | / Yong JIN |
第 1 著者 所属(和/英) | Graduate School of Engineering, Hiroshima University |
発表年月日 | 2013-02-01 |
資料番号 | SIP2012-98,RCS2012-255 |
巻番号(vol) | vol.112 |
号番号(no) | 423 |
ページ範囲 | pp.- |
ページ数 | 6 |
発行日 |