بهبود تصویرسازی سه ‌‌بعدی در سونار روزنه ‌مصنوعی ‌معکوس چندپایه

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مخابرات، دانشکدۀ مهندسی، دانشگاه فردوسی مشهد

2 گروه مهندسی برق، دانشکده مهندسی، دانشگاه فردوسی مشهد

چکیده

تعیین بعد سوم اهداف زیر آب، توسط سامانۀ سوناری، می­تواند در تصویرسازی سه بعدی و تشخیص هدف نقش مهمی ایفا نماید. در این مقاله، با به‌کارگیری سونار روزنه مصنوعی معکوس و استفاده از منبع مجازی بستر دریا و یک حسگر دوم، بعد سوم اهداف به‌دست آمده است. جهت به‌دست آوردن بعد سوم، از فاصله بین پراکنده‌ساز و دو آرتیفکت اصلی متناظر با آن در تصویر دو بعدی استفاده شده است. در صورت داشتن دو سامانۀ سونار، که دارای هر دو نقش فرستندگی و گیرندگی باشند، تفکیک‌پذیری به‌دست آوردن بعد سوم نسبت به حالت تک‌پایه که در مقالۀ قبلی نگارندگان مورد بررسی قرار گرفته است، به نحو چشمگیری افزایش یافته است. علاوه‌بر این، به‌دلیل داشتن این دو حسگر، تعداد بیشتری از پراکنده‌سازهای هدف در معرض دید حسگرها قرار می‌گیرند. با استفاده از اطلاعات دریافتی از این طریق می‌توان به دقت بیشتر در محاسبۀ بعد سوم و ساخت یک تصویر سه بعدی از هدف دست یافت. به‌علت اهمیت نظارت زیر آب، با استفاده از شیوۀ پیشنهادی، می‌توان از این سامانه جهت تشخیص دقیق‌تر اهداف در مقابله با تهدیدات و جهت کاربردهای پدافندی استفاده کرد.

کلیدواژه‌ها

عنوان مقاله [English]

Three Dimensional Imaging Improvement in Multistatic Inverse Synthetic Aperture Sonar

نویسندگان [English]

  • S. A. Erfani 1
  • S. A. Seyedin 2
1 Engineering Faculty, Ferdowsi University of Mashhad
2 Ferdowsi University, Mashhad
چکیده [English]

Determining the third dimension of the underwater targets, by the sonar system, can play an important role in three dimensional imaging and target recognition. In this paper, by applying the inverse synthetic aperture sonar and using the seabed virtual source and a second sensor, the third dimension of the targets is obtained. For obtaining the third dimension, we use the distance between the scatterer and its two main corresponding artifacts in the two dimensional image. In the case of having two sonar systems, with both the transmitting and receiving roles, the third dimension resolution is increased obviously, compared to the monostatic case explained in our previous paper. In addition, because of having these two sensors, more target scatterers will be in the view of sensors. By using the information obtained in this way, it is possible to achieve more accuracy in calculating the third dimension and create a three-dimensional image of the target.  Because of the importance of the underwater monitoring, using the proposed scenario, we can use this system for more accurate identification of the targets to counter the threats and for the defence applications.

کلیدواژه‌ها [English]

  • Inverse Synthetic Aperture Sonar
  • Three Dimensional Image Formation
  • Virtual Sources
  • Interferometry
  • Underwater Defence

مراجع

[1] V. C. Chen and M. Martorella, "Inverse Synthetic Aperture Radar Imaging Principles, Algorithms and Applications," Scitech Publishing, 2014.##
[2] F. M. Caimi, D. M. Kocak, F. Dalgeish and J. Watson,  "Underwater Imaging and Optics: Recent Advances," IEEE Ocean. Eng. Soc. Mag. pp. 21-29, 2010.##
[3]  X. Lurton, "An Introduction to Underwater Acoustics: Principles and Applications," Second Ed. Springer, 2010.##
[4]   J. Taghizadeh, "Multi-static Inverse Synthetic Aperture Sonar Imaging," Ph.D. Thesis, Ferdowsi Univ. Mashhad, 2015 (In Persian).##
[5] X. Xu and R. M. Narayanan, "Three-Dimensional Interferometric ISAR Imaging for Target Scattering Diagnosis and Modeling," IEEE Trans. Image Process. vol. 10, no. 7, 2001.##
[6] J. Palmer, J. Homer and B. Mojarrabi, "Improving on the Monostatic Radar Cross Section of Targets by Employing Sea Clutter to Emulate a Bistatic Radar," IEEE Int. Geosci. Remote Sens. Symp. Toulouse, France, 2003.##
[7] W. Kuperman, and P. Roux,  "Springer Handbook of Acoustics; Chapter 5: Underwater Acoustics," 2014.##
[8] S. A. Erfani, and S. A. Seyedin, "Underwater Three Dimensional Imaging Using Inverse Synthetic Aperture Sonar," Int. Conf. Acoust. Vib. Tehran, Iran, 2019 (In Persian).##
[9]  F. Berizzi and M. Diani, "Multipath Effects on ISAR Image Reconstruction," IEEE Trans. Aerosp. Electron. Syst.vol. 34, no. 2, 1998.##
[10] R. Yang, Y. Bar-Shalom and G. W. Ng, "Altitude Estimation Using Multipath with a 2D Radar over Spherical Earth," IEEE Trans. Aerosp. Electron. Syst. 2017.##
[11] T. Lo and J. Litva, "Use of a Highly Deterministic Multipath Signal Model in Low-Angle Tracking," IEE Proc. F. vol. 138, no.  2, 1991.##
[12] X. Cao, F. Su, H. Sun and G. Xu, "Three-Dimensional In-ISAR Imaging via the Emulated Bistatic Radar," Second IEEE Conf. Ind. Electron. Appl. Harbin, China, 2007.##
[13] J. Palmer, J. Homer, I. D. Longstaff, M. Martorella and B.  Littleton, "ISAR Imaging Using an Emulated Multistatic Radar System," IEEE Trans. Aerosp. Electron. Syst. vol. 41, no. 4, 2005.##
[14] J. Taghizadeh and S. A. Seyedin, "Underwater Moving Target Imaging using Multistatic Inverse Synthetic Aperture Sonar (MISAS) with Virtual Resources," J. Radar, vol. 2, no. 4, pp. 51-62, 2015 (In Persian).##
[15] "HISAS 1030 High Resolution Interferometric Synthetic Aperture Sonar," https://www.kongsberg.com/globalassets/maritime/km-products/product-documents/high-resolution-inferferometric-synthetic-aperture-sonar-hisas##
[16] E. Epcacan, "Underwater Channel Modeling for Sonar Applications," M.Sc. Thesis, The Graduate School of Nat. Appl. Sci. Middle East Tech. Univ. 2011.##
[17]  B. Dushaw, P. Worcester, B. Cornuelle, and B. Howe, "On Equations for the Speed of Sound in Seawater," J. Acoust. Soc. Am. pp. 255–275, 1993.##
[18] R. Urick, "Principles of Underwater Sound," third Ed. McGraw-HiII, 1983.##
[19]  F. Berizzi, E. Dalle Mese and G. Pinelli, "One-Dimensional Fractal Model of the Sea Surface," IEE Proc. Radar, Sonar and Navig. pp. 55-64, 1999.##
[20] M. Porter, "The Bellhop Manual and User's Guide: Preliminary Draft, Heat," Light and Sound Research, Inc. 2011.##
[21] "Underwater Target Detection with an Active Sonar System," MATLAB 2019 Help.##
[22] J. A. Richards, "Remote Sensing with Imaging Radar," Springer Ser. Signals Commun. Technol. 2009.##
[23] R. Hartley and A. Zisserman, "Multiple View Geometry in Computer Vision," Second Ed. Cambridge Univ. Press, 2003.##

فایل ها

سابقه مقاله

  • تاریخ دریافت: 01 مرداد 1399
  • تاریخ بازنگری: 24 شهریور 1399
  • تاریخ پذیرش: 17 آبان 1399
  • تاریخ انتشار: 01 شهریور 1399

هم رسانی

ارجاع به این مقاله

آمار