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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳琪芳 | zh_TW |
dc.contributor.advisor | Chi-Fang Chen | en |
dc.contributor.author | 江維新 | zh_TW |
dc.contributor.author | Wei-Shin Chiang | en |
dc.date.accessioned | 2023-09-22T16:49:31Z | - |
dc.date.available | 2023-09-30 | - |
dc.date.copyright | 2023-09-22 | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-08-11 | - |
dc.identifier.citation | McDonald, M. A., Hildebrand, J. A., & Wiggins, S. M., "Increases in deep ocean ambient noise in the Northeast Pacific west of San Nicolas Island, California" The Journal of the Acoustical Society of America, vol. 120, no. 2, pp. 711-718, 2006.
楊志凱, 船舶噪音對台灣西海岸中華白海豚之潛在影響,國立臺灣大學生態學與演化生物學研究所碩士論文, 2017. 周蓮香, 林幸助, 孫建平, "中華白海豚族群生態與河口棲地監測," 行政院農業委員會林務局委託研究計畫,106林發-08.1-保-26,159頁, 2018. 陳琪芳, 林圻鴻, 胡惟鈞, "雲林沿海中華白海豚研究," 2022. Ross, D., & Kuperman, W. A., “Mechanics of underwater noise” Acoustical Society of America, Kuperman, WA, 1989. Merchant, N. D., Pirotta, E., Barton, T. R., & Thompson, P. M., "Monitoring ship noise to assess the impact of coastal developments on marine mammals" Marine Pollution Bulletin, vol. 78, no. 1-2, pp. 85-95, 2014. Parsons, M. J., Erbe, C., Meekan, M. G., & Parsons, S. K., "A Review and Meta-Analysis of Underwater Noise Radiated by Small (< 25 m Length) Vessels" Journal of Marine Science and Engineering, vol. 9, no. 8, p. 827, 2021. McKenna, M. F., Ross, D., Wiggins, S. M., & Hildebrand, J. A., "Hildebrand Underwater radiated noise from modern commercial ships" The Journal of the Acoustical Society of America, vol. 131, no. 1, pp. 92-103, 2012. Carter, G. C., "Time delay estimation for passive sonar signal processing" IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 29, no. 3, pp. 463-470, 1981. Choi, H., Woo, J., & Kim, N., "Localization of an underwater acoustic source for acoustic pinger-based transit task in 2016 Maritime RobotX Challenge," in 2017 IEEE Underwater Technology (UT), Busan, Korea (South), 2017. Krishnaveni, V., Kesavamurthy, T., & Aparna, B., "Beamforming for Direction-of-Arrival (DOA) Estimation-A Survey," International Journal of Computer Applications, vol. 61, no. 11, 2013. Krim, H., & Viberg, M., "Two decades of array signal processing research: the parametric approach" IEEE signal processing magazine, vol. 13, no. 4, pp. 67-94, 1996. LN Nguyen, T., & Shin, Y., "An efficient RSS localization for underwater wireless sensor networks" Sensors, vol. 19, no. 14, p. 3105, 2019. 李威倫, 海豚哨叫聲偵測之研究,國立臺灣大學工程科學及海洋工程學系碩士論文, 2018. Jiang, C., Li, J., Xu, W., & Feng, W., "Improvement of the Position Estimation for Underwater Gliders With a Passive Acoustic Method" IEEE Journal of Oceanic Engineering, vol. 46, no. 4, pp. 1165-1178, 2021. Lani, S. W., Sabra, K. G., Hodgkiss, W. S., Kuperman, W. A., & Roux, P., "Coherent processing of shipping noise for ocean monitoring" The Journal of the Acoustical Society of America, vol. 133, no. 2, pp. EL108-EL113, 2013. Bioacoustics, Center for Conservation, "Raven Lite: Interactive Sound Analysis Software (Version 2.0) [Computer software]" Ithaca, NY: The Cornell Lab of Ornithology, 2016. Schmidt, R., "Multiple emitter location and signal parameter estimation" IEEE transactions on antennas and propagation, vol. 34, no. 3, pp. 276-280, 1986. Grythe, J., & Norsonic, A. S., "Beamforming algorithms - beamformers" Technical Note, Norsonic AS, Norway, 2015. Zhou, W. X., "Multifractal detrended cross-correlation analysis for two nonstationary signals" vol. 77, no. 6, p. 066211, 2008. Collins, M. D., "Applications and time‐domain solution of higher‐order parabolic equations in underwater acoustics" The Journal of the Acoustical Society of America, vol. 86, no. 3, pp. 1097-1102, 1989. Collins, M. D., "User’s Guide for RAM Versions 1.0 and 1.0 p" Naval Research Lab, Washington, DC, 1995. Frisk, G. V., Ocean and seabed acoustics: a theory of wave propagation., Pearson Education, 1994. 蘇逸芸, 飛航紀錄器水下偵蒐系統建置之研究,國立臺灣大學工程科學及海洋工程學系碩士論文, 2021. "麥寮港外海地圖, Google Earth" 6 2023. [Online]. Available: earth.google.com/web/. "AIS Ship Types" [Online]. Available: https://api.vtexplorer.com/docs/ref-aistypes.html. "HM-5912 12.1英寸AIS(B)類船舶自動識別系統" 新諾北斗航科信息技術股份有限公司, 2021. [Online]. Available: https://www.xinuo.com/product-8774-26201.html. "XF-607B 7英吋AIS船舶自動辨識系統," 錦輪電子工業有限公司, 2021. [Online]. Available: https://www.wenden.com.tw/goods1-51-lang1.html. Vickery, K., "Acoustic positioning systems. A practical overview of current systems" in Proceedings of the 1998 Workshop on Autonomous Underwater Vehicles (Cat. No.98CH36290), Cambridge, MA, USA, 1998. 張祐誠, 智能載台之水下聲學定位技術研究,國立臺灣大學工程科學及海洋工程學系碩士論文, 2021. DeMarco, K., West, M. E., & Collins, T. R., "An implementation of ROS on the Yellowfin autonomous underwater vehicle (AUV)" OCEANS'11 MTS/IEEE KONA, pp. 1-7, 2011. "HTI-96-MIN_SSQ MECH OUTLINE" [Online]. Available: http://www.hightechincusa.com/products/hydrophones/documents/HTI-96-MIN_SSQ%20MECH%20OUTLINE_.pdf. Sun, D., Ma, C., Yang, T. C., Mei, J., & Shi, W., "Improving the Performance of a Vector Sensor Line Array by Deconvolution" IEEE Journal of Oceanic Engineering, vol. 45, no. 3, pp. 1063-1077, 2020. | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/89955 | - |
dc.description.abstract | 本研究利用由兩組雙聲道之水下麥克風系統收集之資料,麥克風陣列佈放於雲林新虎尾溪口附近,並利用波束成型估計出船舶噪音方位角連續變化,結合音傳損耗估計聲源距離,取得其移動軌跡並達到定位之目的。
由於兩組水下麥克風屬於不同系統,系統之間存在時間偏移,系統時間偏移將會嚴重影響定位結果,使用船舶噪音做為外部聲源,進行兩系統之時間校正,校正前兩系統時間偏移約為19秒,經過使用船舶噪音校正後可將兩系統時間偏移所短至0.05毫秒以內。 使用交通部航港局所提供的船舶自動識別系統(Automatic Identification System, AIS)獲取在分析時段內接近水下麥克風陣列船舶的詳細資訊,本研究定位結果根據AIS所提供之經緯度進行分析,並考量到GPS之誤差,在船舶距離陣列1422公尺時,最大誤差應介於107公尺與137尺之間。 本研究比較波束成型與到達時間差法對於方位角估計結果,在訊雜比較高時,兩者差異約在4度以內,在訊雜比較小時波束成型則有較良好的估計結果。根據船舶噪音與環境噪音頻譜圖和音傳損耗模擬結果,船舶在距離陣列20公里估計仍與環境噪音有5~10dB之差距,結合與麥克風陣列指向性,預計監測距離可達20公里。 | zh_TW |
dc.description.abstract | This study analyzed data collected by two sets of dual-channel hydrophone systems. The hydrophone arrays were deployed near the mouth of Xinhuli River in Yunlin, and beamforming was used to estimate the continuous change in bearing angle of ship noise. By combining this information with the estimation of sound transmission loss and source distance, the trajectory of the moving ship was obtained, achieving the goal of localization.
Due to the different systems of the two hydrophones, there exists a time offset between the systems. This time offset significantly affects the localization results. Using shipping noise as an external sound source, time synchronization is performed between the two systems. The initial time offset between the two systems is approximately 19 seconds. After time synchronization using shipping noise, the time offset is reduced to within 0.05 milliseconds. The Automatic Identification System (AIS) provided by the Maritime and Port Bureau is used to obtain detailed information about ships approaching the hydrophones array during the analysis period. The localization results of this study are based on the latitude and longitude provided by AIS and account for GPS errors. At a vessel distance of 1422 meters from the array, the maximum error should be between 107 meters and 137 meters. This study compares the results of beamforming and time difference of arrival methods for azimuthal angle estimation. When signal-to-noise ratios are relatively high, the difference between the two methods is within approximately 4 degrees. In cases of lower signal-to-noise ratios, beamforming demonstrates better estimation results. Based on the spectrum analysis of shipping noise and environmental noise, as well as sound propagation loss simulations, even at a distance of 20 kilometers from the array, there remains a 5 to 10 dB difference between shipping noise and environmental noise. Combining this with the hydrophone array's directivity, the monitoring range is projected to extend up to 20 kilometers. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-09-22T16:49:31Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2023-09-22T16:49:31Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 誌謝 i
摘要 ii Abstract iii 目錄 v 圖目錄 vii 表目錄 x 第一章 緒論 1 1.1 研究動機與目的 1 1.2 文獻回顧 2 1.2.1船舶噪音 2 1.2.2被動式聲學定位 6 1.2.3 麥克風系統時間校正 9 1.3 論文架構 11 1.4 論文貢獻 12 第二章 研究方法 13 2.1 麥克風訊號處理流程 13 2.2 水下錄音器之系統時間校正 14 2.3 訊號到達角度計算方法 18 2.3.1 訊號到達角度計算 18 2.3.2 互相關函數 23 2.4 船舶訊號偵測與擷取 25 2.5 目標聲源距離估計 27 2.5.1 拋物線方程音傳模組 27 2.5.2 聲波互換理論 31 第三章 水下麥克風陣列系統 32 3.1 水下麥克風陣列佈放 32 3.2 水下麥克風陣列系統時間校正 35 3.2.1 水下麥克風陣列系統初步校正 35 3.2.2 水下麥克風陣列系統細部校正與結果分析 36 第四章 定位結果分析 39 4.1 船舶自動識別系統 39 4.2 定位結果 41 4.1.1 方位角分析 41 4.1.2 距離分析 45 4.1.3 波束成型與到達時間差定位法比較 51 第五章 船舶被動聲學監測網規劃 56 5.1 水下麥克風陣列性能分析 56 5.2 船舶被動聲學監測網運用 63 第六章 結論與未來發展建議 68 6.1 結論 68 6.2 建議與未來展望 69 參考文獻 70 附錄A船舶定位結果 74 附錄B方位角估計結果 76 | - |
dc.language.iso | zh_TW | - |
dc.title | 運用水下麥克風陣列之船舶偵測及定位研究 | zh_TW |
dc.title | Study of Underwater Acoustic Detection and Localization of Ships Using Hydrophone Arrays | en |
dc.type | Thesis | - |
dc.date.schoolyear | 111-2 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 彭巧明;黃維信;胡惟鈞 | zh_TW |
dc.contributor.oralexamcommittee | Chiao-Ming Peng;Wei-Shien Hwang;Wei-Chun Hu | en |
dc.subject.keyword | 水下麥克風陣列,波束成型,船舶噪音, | zh_TW |
dc.subject.keyword | Hydrophone Array,Beamforming,Shipping noise, | en |
dc.relation.page | 81 | - |
dc.identifier.doi | 10.6342/NTU202303537 | - |
dc.rights.note | 未授權 | - |
dc.date.accepted | 2023-08-13 | - |
dc.contributor.author-college | 工學院 | - |
dc.contributor.author-dept | 工程科學及海洋工程學系 | - |
顯示於系所單位: | 工程科學及海洋工程學系 |
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