Asymptotic and Hybrid Methods in Electromagnetics. Electromagnetics and Radar - Product Image

Asymptotic and Hybrid Methods in Electromagnetics. Electromagnetics and Radar

  • ID: 3527730
  • Book
  • IET Books
1 of 4

There have been significant developments in the field of numerical methods for diffraction problems in recent years, and as a result, it is now possible to perform computations with more than ten million unknowns. However, the importance of asymptotic methods should not be overlooked. Not only do they provide considerable physical insight into diffraction mechanisms, and can therefore aid the design of electromagnetic devices such as radar targets and antennas, some objects are still too large in terms of wavelengths to fall in the realm of numerical methods. Furthermore, very low Radar Cross Section objects are often difficult to compute using multiple methods. Finally, objects that are very large in terms of wavelength, but with complicated details, are still a challenge both for asymptotic and numerical methods. The best, but now widely explored, solution for these problems is to combine various methods in so called hybrid methods.

Asymptotic and Hybrid Methods in Electromagnetics is based on a short course, and presents recent developments in the field.

Note: Product cover images may vary from those shown
2 of 4
- Chapter 1: Asymptotic theory of diffraction
- Chapter 2: Electromagnetic creeping waves
- Chapter 3: Hybrid diffraction coefficients
- Chapter 4: Asymptotic currents
- Chapter 5: Hybrid methods
Note: Product cover images may vary from those shown
3 of 4

Loading
LOADING...

4 of 4
F. Molinet

Dr Frederic Molinet is the manager of the firm MOTHESIM, France.

I. Andronov

Dr Ivan Andronov teaches at the Institute of Physics at the University of St. Petersburg, Russia.

D. Bouche

Dr Daniel Bouche is Research Director at the Commissanat à I'Energie Atomique, France

Note: Product cover images may vary from those shown
5 of 4
Note: Product cover images may vary from those shown
Adroll
adroll