کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4967395 1449368 2017 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Recovering scattering obstacles by multi-frequency phaseless far-field data
ترجمه فارسی عنوان
بازیابی موانع پراکندگی با داده های دور فاز چند فرکانس
کلمات کلیدی
پراکندگی مانع معکوس، الگوی نهایی فضای بیرونی، روش تکرار نیوتن بازگشتی، بازیابی موانع، امواج هواپیما حادثه، اطلاعات فرکانس چندگانه،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
It is well known that the modulus of the far-field pattern (or phaseless far-field pattern) is invariant under translations of the scattering obstacle if only one plane wave is used as the incident field, so the shape but not the location of the obstacle can be recovered from the phaseless far-field data. This paper aims to devise an approach to break the translation invariance property of the phaseless far-field pattern. To this end, we make use of the superposition of two plane waves rather than one plane wave as the incident field. In this paper, it is mathematically proved that the translation invariance property of the phaseless far-field pattern can indeed be broken if superpositions of two plane waves are used as the incident fields for all wave numbers in a finite interval. Furthermore, a recursive Newton-type iteration algorithm in frequencies is also developed to numerically recover both the location and the shape of the obstacle simultaneously from multi-frequency phaseless far-field data. Numerical examples are also carried out to illustrate the validity of the approach and the effectiveness of the inversion algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Physics - Volume 345, 15 September 2017, Pages 58-73
نویسندگان
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