Underwater Target Echo Signal Separation Using Independent Component Analysis and Principal Component Analysis

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概要

• 論文の詳細を見る

• Experimental results, measured in the open ocean using a real target for true target echo signal separation from a mixture of reverberations and noises are presented. The proposed modified independent component analysis (ICA) in conjunction with principal component analysis (PCA), which can preserve the original source signal amplitude, separated the true target echoes from the reflected active sonar signals. In addition, the signal-to-noise ratio (SNR) of the proposed method output was about 3 dB better than that of the conventional beamforming technique.

• 2012-07-25

著者

• Son Kweon

  Agency For Defense Development:kyungpook National Univ.

• Lee Yonggon

  Agency for Defense Development

• Lee Minho

  Electrical Engineering and Computer Science, Kyungpook National University, Daegu 702-701, Korea

• Cho Jinho

  Electrical Engineering and Computer Science, Kyungpook National University, Daegu 702-701, Korea

• Son Kweon

  Agency for Defense Development, P. O. Box 18, Jinhae, Gyeongnam 645-600, Korea

関連論文

• 2E6-1 ICA解析を用いた水中アクティブソーナーデータからのターゲットエコー信号の分離(圧電デバイス(バルク波デバイス,弾性表面波デバイス)&水中音響)
• Underwater Target Echo Signal Separation Using Independent Component Analysis and Principal Component Analysis

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