Estimating the angle of view and determining the class of a marine target using the rectangular approximation

Document Type : Original Article

Authors

1 بلوار عدالت

2 دانشگاه جامع امام حسین (ع)

Abstract

Target classification in military radars is one of the most important issues in these systems. In this article, a model called rectangular approximation is introduced at the beginning. In this model, the physical shape of each float is approximated by a rectangle with proportional dimensions. Each range cell is determined according to the radar's transmitted wavelength and its resolution. Then, a specific process is provided by counting the number of range cells in the direction radiated to a given sea target by two high-resolution radars. In front of the radar, it determines the number of distance cells in this direction. With this method, it is possible to estimate the radiation angle of the radar towards the target and finally the class of the target is determined in terms of its physical size. The result of this article will determine the angle of view of the radar relative to the target vessel. It means which direction the radar is radiating to the target vessel at any moment.

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References

1.Tait, P., Introduction to radar target recognition, 2nd edition, IET radar, sonar and navigation series,##2.Skolnik, M. I., Introduction to Radar Systems, 2nd ed., McGraw-Hill, Singapore, 1980##3. دهقانی، ع. (1397)، «ارائه الگوریتم جدید دسته‌بندی اهداف دریایی در رادارهای با قدرت تفکیک بالا با استفاده از شبیه‌سازی»، پایان‌نامه دکتری، دانشگاه جامع امام حسین (ع)، تهران##4.L. Min, et al. "Sparse representation denoising for radar high resolution range profiling." International Journal of Antennas and Propagation, 2014.##5.R. Burkholder, M. Pino and F. obelleiro, "Low Angle Scattering From 2-D Targets on a Time-Evolving Sea Surface" IEEE Trans. on Geoscience and Remote Sensing, 2002##6.R. zhang, X. wei, et al. "Analysis about the speckle of radar high resolution range profile', Sci China Tech Sci, Vol.54, pp. 226-236, 2011

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