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Noise-Immune Localization for Mobile Targets in Tunnels via Low-Rank Matrix Decomposition
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作者 Hong Ji Pengfei Xu +3 位作者 Jian Ling Hu Xie Junfeng Ding Qiejun Dai 《国际计算机前沿大会会议论文集》 2018年第2期35-35,共1页
关键词 noise-immune LOCALIZATION Intelligent data processingMatrix decomposition MIXTURE of GAUSSIAN TUNNEL
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Combined sensor noise-immunity 被引量:2
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作者 Vladimir A. Shchurov Alexander V. Shchurov (Pacific Oceanological Institute, 43 Baltiyskaya St, Vladivostok, Russia 690041) 《Chinese Journal of Acoustics》 2002年第2期97-109,共13页
The paper presents statistical analysis of combined sensor noise-immunity while recording fluctuating tone against underwater dynamic noise background. The experimeatal data used for the analysis have been collected b... The paper presents statistical analysis of combined sensor noise-immunity while recording fluctuating tone against underwater dynamic noise background. The experimeatal data used for the analysis have been collected by a pair of four-component combined sensors centered at two depths, 150 and 300 m in deep water. Expressions for combined sensor signal- to-noise ratio (SNR) for cross-spectral levels of signal and noise for both wide and narrow frequency bands have been derived. A combined sensor gain has been introduced in terms of ordinary single-point coherence function between acoustic pressure and particle velocity in acoustic wave. The estimates obtained experimentally evidence that SNR for a combined sensor with multiplicative data processing may exceed SNR for a hydrophone-based sensor by 15 to 16 dB at most for the horizontal channel of the combined sensor, and by 30 dB at most for the vertical channel (when opposite energy flows of signal and noise compensate one another). 展开更多
关键词 Combined sensor noise-immunity SNR THAN
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