Файл: Ersoy O.K. Diffraction, Fourier optics, and imaging (Wiley, 2006)(ISBN 0471238163)(427s) PEo .pdf

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COMPUTER EXPERIMENTS

353

Figure 19.8. Harmonics with nonrandom sampling (M ¼ 100; L ¼ 16; d ¼ 15; l ¼ 0:4 nm; r ¼ 0).

respectively. It is observed that the harmonics of different orders start showing up when r is less than 1, that is, with less than total randomness. In comparison, Figure 19.5 shows the case with r=1, and no harmonics appear since total random sampling is used in this case.

19.5.2Large Number of Channels

The major benefit of the removal of the harmonic images is the ability to increase the possible number of channels. A number of cases with 64, 128, and 256 channels were designed to study large number of channels. In the figure below, the number of

Figure 19.9. Harmonics with partial random sampling (M ¼ 100; L ¼ 16; d ¼ 15; l ¼ 0:4 nm; r ¼ 0:5).

354

DENSE WAVELENGTH DIVISION MULTIPLEXING

Figure 19.10. The case of large number of channels (M ¼ 200; L ¼ 128; l ¼ 0:2 nm).

phased arrayed apertures, the number of channels, and the wavelength separation are represented by M; L, and l, respectively. Figure 19.10 shows the results for M ¼ 200; L ¼ 128, and l ¼ 0:2 nm. The figure consists of two parts. The top figure shows the demultiplexing properties under simultaneous multichannel operation. In this figure, we observe that the nonuniformity among all the channels are in the range of 2 dB. It is also usual in the literature on WDM devices to characterize the cross talk performance by specifying the single channel cross talk figure under the worst case. The bottom figure is the normalized transmission spectrum with respect to the applied wavelengths in the central output port. The

COMPUTER EXPERIMENTS

355

Figure 19.11. The case of Gaussian beam (M ¼ 150; L ¼ 128; d; ¼ 10; l ¼ 0:2 nm).

cross talk value is estimated to be 20 dB. It was observed that cross talk value improves when more apertures (waveguides in the case of PHASARS) are used.

19.5.3Finite-Sized Apertures

The theory for the case of finite-sized apertures yielding beams with Gaussian profile was discussed in Section 19.4.2. Using Eq. (19.4-22), a number of simulations were conducted. The results with 128 channels are shown in Figure 19.11. It is observed that the results are quite acceptable.

19.5.4The Method of Creating the Negative Phase

The experimental results up to this point are for the method of automatic zerocrossings. Figure 19.12 shows an example with the method of creating the negative of the phase of the total phasefront with 16 channels [Hu, Ersoy]. It is observed that the results are equally valid as in the previous cases.

Figure 19.12. Sixteen-channel design with the method of creating the negative phase of the wave front.


356

DENSE WAVELENGTH DIVISION MULTIPLEXING

Figure 19.13. Sixteen-channel design with phase errors (ERR ¼ 0:25p).

19.5.5Error Tolerances

Phase errors are expected to be produced during fabrication. The phase error tolerance was investigated by applying random phase error to each array aperture. The random phase errors were approximated by uniform distribution in the range of [-ERR, ERR] where ERR is the specified maximum error. As long as the maximum error satisfies

jERRj p=2

ð19:5-1Þ

the phasors point in similar direction so that there is positive contribution from each aperture. Hence, satisfactory results are expected. This was confirmed by simulation experiments. An example is shown in Figure 19.13, corresponding to ERR ¼ 0:25p.

19.5.63-D Simulations

The 3-D method was investigated through simulations in a similar fashion [Hu and Ersoy, 2002]. Figure 19.14 shows one example of focusing and demultiplexing on the image plane (x-y plane at z ¼ z0). The four wavelengths used were 1549.2, 1549.6, 1550, and 1550.4 nm, spaced by 0.4 nm (50 GHz). The array was generated with 50 50 apertures on a 2 2 mm square plane. The diffraction order dx in the x- direction was set to 5, while that in the y-direction, dy, was set to zero.

In Figure 19.14, part (a) shows demultiplexing on the image plane, and part (b) shows the corresponding insertion loss on the output line (x-direction) on the same plane.

It is observed that a reasonably small value of diffraction order (dx 5) is sufficient to generate satisfactory results. This is significant since it indicates that manufacturing in 3-D can indeed be achievable with current technology. A major advantage in 3-D is that the number of apertures can be much larger as compared to 2-D.

COMPUTER EXPERIMENTS

357

Figure 19.14. An example of 3-D design with four wavelengths and exact phase generation.


358

DENSE WAVELENGTH DIVISION MULTIPLEXING

Figure 19.15. An example of 3-D design with four wavelengths and four-level phase quantization.

19.5.7Phase Quantization

In actual fabrication, phase is often quantized. The technology used decides the number of quantization levels. Figure 19.15 shows the demultiplexing results with four quantization levels, and otherwise the same parameters as in Figure 19.14. The results are satisfactory.

IMPLEMENTATIONAL ISSUES

359

19.6IMPLEMENTATIONAL ISSUES

It is interesting to compare different approaches in terms of implementational issues. For example, in PHASAR type of devices with waveguides on a plane, the lengths of the waveguides should be chosen according to the following equations:

(a) Plane reference wave only, automatic zero-crossings:

Li ¼ axi

(b) Plane reference wave only, negative phase implementation

Li ¼ axi yi=k

where yi is the desired phase, and k is the wave number.

(c) Plane and spherical reference waves, automatic zero-crossings

Li ¼ aðxi þ rciÞ

2-D phased array

 

 

Output

Input

Input

optics

optics

 

 

 

ð19:6-1Þ

ð19:6-2Þ

ð19:6-3Þ

Output

l1 l2

l3 l4

lN

(a)

L

i

(b)

Figure 19.16. The visualization of a possible setup for 3-D implementation of MISZC.


360

DENSE WAVELENGTH DIVISION MULTIPLEXING

Virtual array

Real array

Imaging optics

 

Figure 19.17. The visualization of a virtual holography setup in connection with Figure 19.16 to achieve desired phase modulation and size.

(d) Plane and spherical reference waves, negative phase implementation

Li ¼ aðxi þ rciÞ yi=k

ð19:6-4Þ

The equations above show that the method of physical generation of the negative phase appears to be more difficult to implement than the method of automatic zero-crossings in terms of waveguide length control. However, in the method of automatic zero-crossings, the positions of the apertures have to be carefully adjusted. Since the initial positions of apertures are randomly chosen, this is not expected to generate additional difficulties since the result is another random number after adjustment.

In 3-D, the disadvantage is that it may be more difficult to achieve large d. The big advantage is that there are technologies for diffractive optical element design with many apertures, which can also be used for phased array devices for DWDM. In our simulations, it was observed that d of the order of 5 is sufficient to achieve satisfactory resolution.

This can be achieved in a number of ways. One possible method is by using a setup as in Figure 19.16, together with the method of virtual holography discussed in Section 16.2. In order to achieve large d, the array can be manufactured, say, five times larger than normal, and arranged tilted as shown in Figure 19.16(b) so that Li shown in the figure is large. Then, the array (now called the real array) has the necessary phase modulation, and is imaged to the virtual array as shown in Figure 19.17, following the method of virtual holography. If M is the demagnification used in the lateral direction, the demagnification in the z-direction is M2. As a result, the tilt at the virtual array in the z-direction can be neglected. The virtual array has the necessary size and phase modulation in order to operate as desired to focus different wavelengths at different positions as discussed above.

20

Numerical Methods for Rigorous

Diffraction Theory

20.1INTRODUCTION

Scalar diffraction theory is valid when the sizes of diffractive apertures are large as compared to the wavelength of the incident wave. Geometries considered are also usually simple. With the increasing trend to produce smaller and smaller devices where refractive optical components become impractical, and increasingly complex geometries and material properties, there is a demand for diffractive elements with sizes and characteristics of the order of a wavelength or smaller. However, in this size range, scalar diffraction theory may not be sufficiently accurate, and analytical results are usually very difficult to generate. Complex geometries may also require new computational approaches.

A practical approach is to solve Maxwell’s equations by using numerical methods. There are several emerging approaches for this purpose. One approach is based on numerical methods which utilize finite differences. Another approach is based on Fourier modal analysis using the Fourier series. A third approach is the use of the method of finite elements for the solution of Maxwell’s equations with boundary conditions.

This chapter consists of seven sections. Section 20.2 describes the formulation of the paraxial BPM method discussed in Section 12.4 in terms of finite differences using the Crank–Nicholson method. Section 20.3 discusses the wide angle BPM using the Paˆde´ approximation. This method is commonly used when there are large angular changes as in waveguide problems. Section 20.4 covers the method of finite differences as a preparation for the next section. Section 20.5 introduces the finite difference time domain (FDTD) method, which is currently a popular method in many applications. Section 20.6 describes some experiments with the FDTD method. Section 20.7 concludes the chapter with another competitive approach called the Fourier modal method (FMM).

Diffraction, Fourier Optics and Imaging, by Okan K. Ersoy

Copyright # 2007 John Wiley & Sons, Inc.

361


362

NUMERICAL METHODS FOR RIGOROUS DIFFRACTION THEORY

20.2BPM BASED ON FINITE DIFFERENCES

Consider the Helmholtz equation for inhomogeneous media given by Eq. (12.2-4) repeated below for convenience:

ðr2 þ k2ðx; y; zÞÞU0ðx; y; zÞ ¼ 0

ð20:2-1Þ

where

 

U0ðx; y; zÞ ¼ uðx; y; z; tÞe jwt

ð20:2-2Þ

and the position-dependent wave number kðx; y; zÞ is given by

 

kðx; y; zÞ ¼ nðx; y; zÞk0

ð20:2-3Þ

in which k0 is the free space wave number, and nðx; y; zÞ is the inhomogeneous index of refraction.

As in Section 12.3, the variation of nðx; y; zÞ is written as

nðx; y; zÞ ¼ n þ nðx; y; zÞ

ð20:2-4Þ

where n is the average index of refraction. The Helmholtz equation (20.2-1) becomes

½r2 þ n2k02 þ 2n nk02&U ¼ 0

ð20:2-5Þ

where the ð nÞ2k2 term has been neglected. Next the field is assumed to vary as

 

 

 

 

 

 

 

 

 

ð20:2-6Þ

 

 

U0ðx; y; zÞ ¼ Uðx; y; zÞe jkz

 

 

 

 

 

 

 

 

 

 

 

in which Uðx; y; zÞ is assumed to be a slowly varying function of z, and k equals nk0.

Substituting Eq. (20.2-6) in the Helmholtz equation yields

 

 

2

 

d

U þ ðk

2

2

 

 

 

r

 

U þ 2jk

dz

 

k

ÞU

¼ 0

ð20:2-7Þ

Equation (20.2-7) is the Helmholtz equation used in various finite difference formulations of the BPM.

When the paraxial Helmholtz equation is valid as discussed in Section 12.3, Eq. (20.2-7) becomes

d

 

j

 

2U

 

2U

 

 

U ¼

 

 

d

þ

d

þ ðk2 k2ÞU

ð20:2-8Þ

dz

2k

dx2

dy2

This is the basic paraxial equation used in BPM in 3-D; the 2-D paraxial equation is obtained by omitting the y-dependent terms. The paraxial approximation in this form allows two advantages. First, since the rapid phase variation with respect to z is