Файл: Ersoy O.K. Diffraction, Fourier optics, and imaging (Wiley, 2006)(ISBN 0471238163)(427s) PEo .pdf
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HIGHER ORDER IMPROVEMENTS AND ANALYSIS |
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With the new approximations, Eq. (7.2-11) is replaced by |
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Uðx0; y0; zÞ ¼ e jkr0 |
ðð u0ðx; yÞe j2pðfxxþfyyÞdxdy |
ð7:3-11Þ |
where the spatial frequencies are still given by Eqs. (7.2-12) and (7.2-13) due to Eqs. (7.3-6) and (7.3-7). With FFA, u0ðx; yÞ equals uðx; yÞ.
We note that Eq. (7.3-11) looks like Eq. (7.2-11) for the Fresnel approximation, but the phase factor outside the integral and the output sampling points are different. Equation (31) is straightforward to compute with the FFT, and the results are valid at the sampling points defined by Eqs. (7.3-8) and (7.3-9). The spatial frequencies can also be written as
fx ¼ |
x0 |
ð7:3-12Þ |
lr0 |
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fy ¼ |
y0 |
ð7:3-13Þ |
lr0 |
It is observed that fx and fy are still given by Eqs. (7.2-12) and (7.2-13) with respect to the regular sampling points ðxs; ysÞ or by Eqs. (7.3-12) and (7.3-13) with respect to the actual sampling points ðx0; y0Þ.
7.4HIGHER ORDER IMPROVEMENTS AND ANALYSIS
We write r in Eq. (7.3-1) in a Taylor series as |
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n 1 |
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3 5 |
ð2n 1Þ |
h2m 1 |
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8 þ |
16 þð |
Þ |
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0 |
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2 4 6 2n |
ð7:4-1Þ
where it is desirable to attain the terms shown in order to obtain high accuracy. In order to be able to use the Fourier transform, we only keep the terms in the Taylor series that do not have factors ðx0xÞn other than x0x.
We also define
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n ¼ ð |
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n 1 |
1 3 5 ð2n 1Þ |
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2n z2n |
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Then, r is approximated by
r r0 xx0 þ yy0 þ pðwÞ r0
ð7:4-2Þ
ð7:4-3Þ
96 WIDE-ANGLE NEAR AND FAR FIELD APPROXIMATIONS
where
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an |
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pðwÞ ¼ pðx; yÞ ¼ |
z2n 1 |
wn |
ð7:4-4Þ |
n¼1 |
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Equations (7.3-8) and (7.3-9) remain the same because the term involving xx0 and yy0 is not modified. When z w as in the Fraunhofer approximation, the term pðwÞ in Eq. (7.4-3) is skipped. With the new approximations, Eq. (7.3-11) is replaced by
Uðx0; y0; zÞ ¼ e jkr0 |
ðð u00ðx; yÞe j2pðfxxþfyyÞdxdy |
ð7:4-5Þ |
where |
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u00ðx; yÞ ¼ uðx; yÞe jkpðwÞ |
ð7:4-6Þ |
For a given z, the maximum error in the Fresnel approximation is proportional to ðx20 þ y20Þ2 whereas, in the NFFA, it is approximately given by
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¼ |
vðx2 þ y2Þ |
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ðx0x þ y0yÞ2 |
7:4-7 |
Þ |
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4z3 |
2z3 |
ð |
This error corresponds to the neglected terms in the second component u22 of the Taylor series expansion.
We note that changes are made only in the object coordinates with Eqs. (7.3-8) and (7.3-9). Otherwise, the integral in Eq. (7.4-5) is the same as the integral in Eq. (7.2-9) or Eq. (7.2-14). The output points ðx0; y0Þ are determined by Eqs. (7.3-8) and (7.3-9) in terms of ðxs; ysÞ given by Eqs. (7.2-15) and (7.2-16).
An interesting observation is that the Fresnel approximation examples cited in the literature are approximately correct in the near field at the points ðx0; y0Þ given by Eqs. (7.3-8) and (7.3-9), and not at the points ðxs; ysÞ. As such, these results are really the NFFA results.
In order to use the FFT, it is necessary to satisfy Eqs. (7.2-19) and (7.2-20). mx 0x and my 0y are the output sampling positions that are modified to do so. It is possible to consider other sampling strategies in which mx 0x and my 0y are replaced by some other output sampling positions, say, xs and ys. The results obtained above are valid in all such cases.
7.5INVERSE DIFFRACTION AND ITERATIVE OPTIMIZATION
Inverse diffraction involves recovery of uðx; yÞ from Uðx0; y0; zÞ as discussed in Chapter 6. In the case of the Fresnel approximation, Eq. (7.2-9) is a Fourier transform, and its inversion yields
ðð
u0ðx; yÞ ¼ U^ðx0; y0; zÞe j2pðfxxþfyyÞdfxdfy |
ð7:5-1Þ |
NUMERICAL EXAMPLES |
97 |
where u0ðx; yÞ is given by Eq. (7.2-10), the spatial frequencies fx, fy Eqs. (7.2-12), (7.2-13), and
^ð y zÞ ¼ Uðx y zÞe jk2vz
U x0; 0; 0; 0;
are given by
ð7:5-2Þ
Similarly, the integrals in Eqs. (7.3-11) and (7.4-5) are Fourier transforms. Inverse Fourier transformation of Eq. (7.3-11) yields
ðð |
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u0ðx; yÞ ¼ U0ðx0; y0; zÞe j2pðfxxþfyyÞdxdy |
ð7:5-3Þ |
where |
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U0ðx0; y0; zÞ ¼ Uðx0; y0; zÞe jkr0 |
ð7:5-4Þ |
The inverse Fourier transformation of Eq. (7.4-5) similarly yields |
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ðð |
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u00ðx; yÞ ¼ U0ðx0; y0; zÞe j2pðfxxþfyyÞdxdy |
ð7:5-5Þ |
Iterative optimization techniques are often used to design optical devices such as DOE’s [Lee, 1970, 1975, 1979; Zhuang and Ersoy, 1995]. These techniques are discussed in Chapters 15 and 16. For this purpose, many iterations are carried out between the input and output planes. Equations (7.3-11) and (7.5-3) as well as Eqs. (7.4-5) and (7.5-5) are Fourier transform pairs. Hence, iterative optimization can be carried out exactly as before with these equations.
7.6NUMERICAL EXAMPLES
Below the 2-D case is considered first with y variable neglected without loss of generality. In the initial computer simulations, the relevant parameters are chosen as follows:
l ¼ 0:6328 m; x ¼ 1 mm; N ¼ 256; x=l ¼ 7
The minimum z distance for the approximations to be valid as a function of offset x0 at the output plane can be computed by specifying kðr rðapproximateÞÞ to be less than 1 radian. The result with input offset x equal to 1 mm is shown in Figure 7.1. It is observed that for very small ðx0 xÞ, the two approximations behave almost the same, but this quickly changes as ðx0 xÞ increases.
Figure 7.2 shows the ratio z=x0 as a function of the output plane offset x0. This ratio approaches 2 with the new approximation whereas it approaches 36 with the Fresnel approximation as the offset x0 increases. We note that with the FFT, the maximum output offset equals z=ð x=lÞ, x being the input plane sampling
98 |
WIDE-ANGLE NEAR AND FAR FIELD APPROXIMATIONS |
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Figure 7.1. Minimum z distance for the approximations to be valid as a function of x0 at the output plane with x equal to 1 mm.
interval. Hence, the new approximation is sufficiently accurate at all the output sampling points for x=l greater than 2. Figure 7.3 shows the growth of the difference between x0 and xs calculated with Eq. (28) as x0 increases when z ¼ 10 cm.
Figure 7.2. |
The ratio z=x0 |
as a function of x0. |
NUMERICAL EXAMPLES |
99 |
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Figure 7.3. Change of x0 in mm as a function of x0 at the output plane when z ¼ 20 cm and x ¼ 1 mm.
Equations (7.3-8) and (7.3-9) show the relationship with the regularly sampled output points as in the Fresnel or Fraunhofer approximations, and the semiirregularly sampled output points as in the NFFA. Examples of these relationships are given in Tables 7.1 thru 7.3. The (x,y) sampling coordinate values in these tables are shown as complex numbers x þ iy. Table 7.1 shows the example of regularly sampled values. Table 7.2 shows the corresponding example of semi-irregularly sampled values. Table 7.3 is the difference between Tables 7.1 and 7.2.
In the next set of experiments in 2-D, a comparison of the exact, Fresnel and NFFA approximation integrals was carried out for diffraction of a converging spherical wave from a diffracting aperture. The parameters of the experiments are as follows:
Diffracting aperture size ðDI Þ ¼ 30 m; z ðfocusing distanceÞ ¼ 5 mm;
N ¼ 512; l ¼ 0:6328 m
The numerical integration was carried out with the adaptive Simpson quadrature algorithm [Garner]. The output aperture sampling was chosen according to the FFT conditions. Then, the full output aperture size is given by
DO ¼ |
Nlz |
ð7:6-1Þ |
DI |
However, only the central portion of the output aperture corresponding to 64 sampling points and an extent of 6.7 mm was actually computed. As z ¼ 5 mm, this represents a very wide-angle output field.