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Performance Analysis of Target Depth Classification Algorithm Based on Sea Experiment Data
المؤلفون المشاركون
Piao, Shengchun
Zhao, Anbang
Bi, Xuejie
Li, Nansong
Zhang, Minghui
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-12-04
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
Cross-spectrum signals can be calculated by the pressure signals.
The sign distribution of cross-spectrum active component can be effectively used for target depth classification algorithm.
The algorithm is applicable for depth classification of targets where frequencies can only excite the first two normal modes.
The corresponding research results are mainly based on the theoretical study.
There are few researches on the algorithm performance based on experiment results.
To overcome this research lack, based on the effective depth model, the effects on various receiving depth, source frequency, and received signal-to-noise ratio on the algorithm performance have been studied in this paper.
The influence of sound velocity profile parameters (negative gradient, thermocline intensity, thermocline thickness, and up-boundary depth) on the algorithm performance has also been researched.
According to the simulation results, proper adjustment of the receiving depths can effectively improve the algorithm performance.
The source frequency primarily affects the position of the ideal receiving depth which can be appropriately adjusted according to the depth classification requirements of the real sea environment.
The algorithm performance improves gradually with the increase of signal-to-noise ratio.
Moreover, the algorithm can also be applied under the conditions of negative gradient and thermocline.
The comprehensive sound velocity profile parameters have a large impact on the depth classification performance of the algorithm.
Even in the case of strong negative gradient or strong thermocline, the robustness of the algorithm is still high.
The feasibility of our presented method has been verified by sea experiment.
The practical application value of the ideal receiving depth has been researched and validated.
The factors affecting the algorithm performance including line spectrum continuity and received signal-to-noise ratio have also been analyzed in our simulation and real sea experiments.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Anbang& Bi, Xuejie& Li, Nansong& Zhang, Minghui& Piao, Shengchun. 2019. Performance Analysis of Target Depth Classification Algorithm Based on Sea Experiment Data. Journal of Sensors،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1191357
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Anbang…[et al.]. Performance Analysis of Target Depth Classification Algorithm Based on Sea Experiment Data. Journal of Sensors No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1191357
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Anbang& Bi, Xuejie& Li, Nansong& Zhang, Minghui& Piao, Shengchun. Performance Analysis of Target Depth Classification Algorithm Based on Sea Experiment Data. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1191357
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1191357
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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