PHASE-ENCODED MULTIPLEXING METHOD USING A PSEUDO¬
RANDOM PHASE CODE IN A HOLOGRAPHIC MEMORY SYSTEM
TECHNICAL FIELD
The present invention relates to a phase-encoded multiplexing method that uses a
pseudo-random phase code in a holographic memory system. More particularly, the
present invention relates to a phase-encoded multiplexing method in order to produce
multiple address beams and, at the same time, in order to effectively restrict crosstalk.
BACKGROUND ART
In the era of multimedia- there will be a tremendous increase in the amount of data
used by individuals and companies in voice, video, 3D video and NOD data (including text
or images). As a solution to this condition, a storage medium with higher storage
capacity is needed, and holographic memory (HM) is suitable for this purpose.
Amplitude represents the degree of brightness or darkness, and phase represents the
position of an object. A three-dimensional image can be produced by manipulating both
the amplitude and phase of an object in a two-dimensional picture.
In holograms, an object-reflected laser beam and an arbitrary laser beam from
another direction are stored on photographic film at the same time. If these two laser
beams cross at the same points on the photographic film- an interference pattern is
produced that consists of many dark or bright lines which represent the amplitude and
phase of the object. Therefore, the photographic film that the interference pattern is
stored on is called a hologram and the technique of storing the hologram is called
holography.
Since it was discovered that data can be stored in a photo-refractive medium by
using a photo-refractive effect by which the refractive index of the medium is dependent
on the intensity of light, various multiplexing schemes more data in holographic memory
(HM) has been done.
Storage capacity of HM is dependent on the multiplexing method. Multiplexing
methods that have been disclosed so far are angle multiplexings, wavelength multiplexings
and phase code multiplexings. In the angle multiplexing methods, the angle of the
address beam represents the address of the stored image. In the wavelength multiplexing
methods, a light source with a changeable wavelength is used- In the phase-encoded
multiplexing methods, orthogonal phases are used.
In the angle multiplexing methods, the address beam is controlled to satisfy the
'Bragg angle' by means of an acousto-optic deflector (AOD), step motor or moving
windows.
Among the above-mentioned devices of controlling the address beam in the angle
multiplexing methods, a step motor has the disadvantage of causing crosstalk due to
mechanical errors. An AOD can precisely control the address beam electronically and
also has the advantage of allowing fast random access. However, it has the disadvantage
that it needs complicated and high-priced system. A new method using moving windows
in spatial light modulator (SLM) has been disclosed, which diminishes the disadvantages
described above. However, because this method uses only the light that passes through
its windows, it has the disadvantage of reducing the efficiency of the use of light.
Wavelength multiplexing methods also require a high-priced and tunable coherent
light source that has precise, high-resolution wavelength selectivity.
On the other hand, the phase-encoded multiplexing methods have the advantage
that accurate and fast random access is possible by means of a comparatively simple
system that has no mechanical movement.
In 1977, T. Krile and Morozov presented the conditions that crosstalk in a plane
hologram with no angular selectivity can be diminished to a minimum by encoding the
reference beam. In 1982, E- Krai suggested the usage of orthogonal code for volume
hologram by using a random diffuser. In 1991, C. Denz and Y. Taketomi performed an
HM multiplexing experiment for Hadamard matrix (HAM) using a SLM for creating
orthogonality.
Generally, in phase-encoded multiplexing methods, the object beam and address
beam are fixed thereafter, and the address beam's phase code is changed, so lots of address
beams are multiplexed in order to store lots of data in a photo-refractive medium.
Therefore, it is important to maintain the orthogonality between phase codes. At this time,
the accurate phase modulation of 0 and π, and the orthogonality between address beams,
must be guaranteed. Lots of simultaneous address beams are needed to achieve high
storage capacity.
In the case of the pure phase-encoded multiplexing method using a random diffuser,
it is possible to generate lots of addresses, but it is not guaranteed that their accurate
orthogonality can be maintained. As a result, there is the disadvantage that high crosstalk
occurs and accurate control of addresses is difficult. A Random diffuser is unsuitable for
use in a phase-encoded multiplexing method.
Also, in the case of a phase-encoded multiplexing method using HAM with an
SLM, there is some advantage in that HAM has its own orthogonality and, as a result, it is
easy to implement an HAM with SLM. However, because of phase modulation errors
resulting from the electronic and physical properties of the contemporary SLM that is used
for phase modulation, crosstalk can occur when lots of image data is stored and
reconstructed. Also, the well known documented method is only valid for the common
HAM whose order in power of 2, i-e-, N=2r, with r integers. This represents only a very
small subset of positive integer. If only this HAM can be used in phase code multiplexing,
the inefficient utilization of currently available SLMs would be inevitable.
In the case of multiplexing many images by phase code through a photo-refractive
medium in order to diminish crosstalk that occurs in the process of image reconstruction,
crosstalk that occurs in the process of image storing is most diminished. For this, the
auto-correlation components of the address beam must function similar to an impulse, and,
at the same time, the cross-correlation components of the address beam must do not exist.
That is, the complexly functioning address beams that are used in multiplexing have
orthogonality in order to diminish crosstalk, and accurate control of the SLM's phase and
amplitude is needed to dimmish crosstalk that occurs during reconstruction.
FIG- 1 is a schematic of an HM system using contemporary phase-encoded
multiplexing.
Referring to FIG. 1, the image of signal data (i-e-, the object beam) is modulated in
amplitude by being transmitted through a signal amplitude spatial light modulator
(SASLM); and the phase code (i.e., the address beam) is modulated in phase by being
transmitted through an address phase spatial light modulator (APSLM). The modulated
phase code has 0 or % phase lag. The amplitude-modulated object beam and phase-
modulated address beam are multiplexed by passing through lenses 160-1 and 160-2
respectively to a photo-refractive medium that generates interference- The beams from
the photo-re ractive medium are collected by lens 160-3 and the image signal is
reconstructed in output detector 150.
Generally, when the phase-encoded multiplexing method is compared with other
multiplexing methods, phase-encoded multiplexing has many advantages: mechanical
movement of the address beam is not needed, fast random access is available, there is high
efficiency in the use of light, and variation of wavelength is not needed.
In the phase-encoded multiplexing method, each of the address beams consists of
plane waves that have uniform phase distribution, and phase codes that are used as address
beams are utilized accurately to store and reconstruct images. So, N units of orthogonal
phase code are needed to store N units of the hologram-
Typical phase-encoded multiplexing methods are a method that uses a random
diffuser or speckle pattern of glass fiber and a method that uses HAM having two values,
"+1" and "-1".
When a random diffuser or speckle pattern is used, there is some cross-correlation
component- So, it is impossible to generate an address beam that has perfect
orthogonality- Also, because crosstalk between reconstructed images is generated, the
signal-noise ratio (SNR) drops.
Also, because the HAM is expressed in the form of 2" pixel pattern, the SLM's
efficiency of pixel utilization is reduced. For example, when HAM is present in the use
of an SLM that consists of 100 (10 x 10) pixels, the number of usable pixels of the SLM is
fixed at 106 such that half of the pixels are not used. Accordingly, the SLM's efficiency
of pixel utilization is low and the number of addresses is restricted.
In order to create an effective HM system using phase code, certain conditions are
required: the availability of many addresses; minimum crosstalk between adjacent images;
and, at the same time, insensitivity to phase modulation error that occurs when the phase
code is applied to a real system. In practical applications, when phase code is modulated
by the use of an SLM, it is difficult to modulate correctly all of the SLM's pixels by 0 and
π in phase due to the non-linearity that is generated by electrical and physical effects.
DISCLOSURE OF INVENTION
The present invention specifically addresses and alleviates the above-mentioned
deficiencies associated with prior art- It is a primary object of the present invention to
provide a phase-encoded multiplexing method that uses pseudo-random phase code that
efficiently generates phase code by use of a computer program-
To achieve the above-mentioned object, according to the first part of the
embodiment of the present invention, the phase-encoded multiplexing method using
pseudo-random phase code (PSR) comprises the steps of: generating an address beam by
the use of the pseudo-random phase code; modulating phase of the address beam by the
use of an Address Phase Spatial Light Modulator (APSLM); modulating amplitude of an
object beam by the use of an Signal Amplitude Spatial Light Modulator (SASLM); and
interfering an output of the APSLM with an output of SASLM by the use of a photo-
refractive medium.
The PSR is randomly produced by a computer program.
The step of generating the address beam by the use of pseudo-random phase code
comprises the steps of producing one-dimensional phase code by the use of a feedback
shift register and expanding the one-dimensional phase code to two-dimensional phase
code.
The one-dimensional phase code has 2m-l bits through performing XOR operation
between i tb (i<=m) and m th bit of the m bits shift register, the result of the XOR operation
is inputted to the i th bit of the m bits shift register by feedback.
The step of expanding the one-dimensional phase code to the two-dimensional
code comprises the steps of: sequentially sampling a row of pseudo-random phase code, on
the assumption that the one-dimensional phase code is the row of pseudo-random phase
code; deciding whether each bit of the row of pseudo-random phase code has the value of 0
or 1; producing a two-dimensional pseudo-random phase code by sequentially expanding
the row of pseudo-random phase code, if each bit of the row of pseudo-random phase code
has the value "1"; and producing a two-dimensional pseudo-random phase code by
reversing bits of the row of pseudo-random phase code and sequentially expanding the row
of pseudo-random phase code by the use of the reversed bits.
The number of two-dimensional pseudo-random phase code is produced as
follows:
PSR = 2(2" - l)2(m - 1)(« - 1)
wherein n represents the two-dimensional pseudo-random phase code consisting of
n x n pixels, and m is the number of bits in the m bits feedback shift register-
According to the second part of the embodiment of the present invention, a
computer-readable medium with stored computer-executable instructions for producing
pseudo-random phase code performs the steps of producing a one-dimensional phase code
by the use of a feedback shift register and expanding the one-dimensional phase code to
two-dimensional phase code.
BRIEF DESCRIPTION OF DRAWINGS
FIG- 1 is a schematic representation of contemporary geometry for the phase-
encoded multiplexing method utilized in the HM system;
FIG. 2a to 2d show 4 different types of two-dimensional phase code for phase-
encoded multiplexing that are generated by use of a computer program;
FIG. 3 is a schematic representation of the feedback shift register for generating
pseudo-random phase code;
FIG. 4 is a flow chart showing the procedure for generating two-dimensional
pseudo-random phase code by the use of a computer program, in accordance with the
preferred embodiment of the present invention;
FIG.5 is a result graph of the SNR for the 4 phase codes that is obtained by varying
the phase error ratio from 0% to 25% in consideration of the SLM's phase errors that occur
during phase modulation due to non-linearity;
FIG. 6a and 6b are normalized result graphs showing the auto-correlation
component and cross-correlation component between two arbitrarily selected phase codes
that are generated by the use of pure random code (PR);
FIG. 7a and 7b are normalized result graphs showing the auto-correlation
component and cross-correlation component between two arbitrarily selected phase codes
that are generated by the use of random code with equality (ER);
FIG. 8a and 8b are normalized result graphs showing the auto-correlation
component and cross-correlation component between two arbitrarily selected phase codes
that are generated by the use of HAM;
FIG. 9a and 9b are normalized result graphs showing the auto-correlation
component and cross-correlation component between two arbitrarily selected phase codes
that are generated by the use of pseudo-random phase code (PSR);
FIG. 10a, 10b, 10c and lOd are result graphs showing cross-correlation between
two phase codes that are arbitrarily selected from 500 phase codes generated by the use of
PR, ER, HC and PSR respectively
FIG. 11a and lib are result graphs showing mean and standard deviation
(consisting of variance in the size of pixels in the address beam) in the cross-correlation
between phase codes that are generated by the use of PR, ER, HAM and PSR.
FIG. 12a is a graph showing the SNRs (signal-noise ratio) for PR, ER, HAM and
PSR phase codes by repeating 500 addresses, when the size of the address has 32x32
pixels;
FIG. 12b is a graph showing the SNRs for PR, ER, HAM and PSR when the size of
the address is 64x64, 128x128 and 256x256 pixels.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
Hereinafter, the preferred embodiment of the present invention will be described
with reference to accompanying drawings.
FIG. 2a to 2d show 4 different types of two-dimensional phase code for phase-
encoded multiplexing that are generated by the use of a computer program-
FIG- 2a shows pure random code (PR). Though it is easy to generate PR by the
use of a random diffuser, an optical fiber speckle pattern, and other devices, because there
is a high probability that "-1" and "+1" are concentrated in a specific region, it cannot have
high cross-correlation-
Also, when cross-correlation is produced by phase codes, irregular cross-
correlation is produced because the concentration of the phase value of "-1" and "+1" get
randomly distributed. When the size of pixels of address beams is n x n, because a pixel
can have the phase values of "-1" and "+1" at the same time, PR, the number of addresses
beams of PR, can be given by
MPR = (20 "
FIG- 2b shows random code with equality (ER) that makes up for the deficiency of
PR.
In the case of using ER, the whole region is classified by optional blocks (2 x 2, 4 x
4, ...., m x m) with equal possibility, and the phase values "-1" and "+1" are generated with
equal possibility by the computer program, so that the concentration of cross-correlation
components in a specific region is restricted. As a result, the situation that the same codes
concentrate in a specific region is reduced partially.
Also, in the case of using ER, cross-correlation components and the number of
address beams are both dependent on the level of unit blocks not being in accordance with
each other.
To calculate the number of address beams, let a unit block be m x m (m-level). The
number of combination for this block is given by
Where MB-ER s the number of combination of m-level in ER. When the size of
the address beam is n x n pixels and the block level is /n-level, A ER, the number of
addresses beams produced by the combination „Cr is as follows:
FIG. 2c shows HAM as an orthogonal code that is easy to realize with an SLM.
However, since HAM is expressed only in the form of 2" pixels pattern, the number of
addresses beams is restricted. That is, when an SLM with 10 x 10 pixels is used, the
number of pixels that can be utilized is 2 x 2 , so the efficiency of SLM pixel usage drops
approximately by 56%.
Also, since the non-linearity of commercial SLMs and the irregularity of glass
thickness, an HAM method that requires the accurate phase modulation of components is
not easily applied to an HM system using an SLM in comparison with other methods-
HC, the number of addresses beams of HC, is as follows:
HC = 2"
FIG. 2d shows pseudo-random phase code (PSR). In the bandwidth diffusion
communication system, PSR is used for encoding data in order to have minimum
interference in the spread-spectrum communication system-
FIG. 3 is a schematic representation of the feedback shift register for generating
PSR.
Referring to FIG. 3, PSR constitutes a class of binary random codes using shift
resister. The feedback shift register performs the XOR operation between the arbitrary tth
bit and the last mth bit on its own, and the result of the XOR operation is inputted to rth bit
by feedback.
The output value that is defined by each code (bit) of register, (i-e-, "1" and "0") is
repeated by 2m as a maximum cycle in the register having m bits. However, when initial
condition of the shift register is all "0", the output of the XOR operation becomes 0, so the
real cycle becomes 2m-l. The output of the feedback shift register results in one-
dimensional PSR. It is apparent to those skilled in the art that there are many possible
ways of producing one-dimensional PSR.
Here, two-dimensional PSR can be produced by the use of one-dimensional PSR
having 2/n-l bits. First, one-dimensional PSR becomes a column of two-dimensional
PSR, and the generated one-dimensional PSR code's values are sampled in order. If the
value of the sampled code is "1," then the original one-dimensional PSR is placed in the
same row orderly. Otherwise (i.e., if the value of sampled code is "0"), then whole codes
of one-dimensional PSR are reversed and placed in that row- Two-dimensional PSR is
produced by means of this procedure. A detailed description of this procedure is
provided later with FIG. 4.
According to the procedure, the size of PSR address beams that are generated from
address beams having n x n pixels, PSR, is as follows:
PSR = 2(2M - l)2(m - l)(/- - l)
To use two-dimensional PSR having PS addresses, two-dimensional PSR is
finally produced by changing "0" code value into "-1."
FIG. 4 is a flow chart showing the procedure of generating two-dimensional PSR
by the use of a computer program, in accordance with the preferred embodiment of the
present invention-
Referring to FIG- 4, all bits of the m-stage feedback shift register are initialized at
0(Step 401). One-dimensional PSR is produced by the above-mentioned procedure(Step
403). If the produced PSR code's value is "1," the code's value is not altered. If the
produced PSR code's value is "0," the code's value is converted to "-1" (Step 405).
Let two variables, A and B, represent the column and row of a two-dimensional
matrix for storing two-dimensional PSR. The value of A and B are initialized at 0 and the
size of the matrix to be generated is stored in n (Step 407). Here, n results from n x n
pixels.
If the row variable B is equal to or greater than n-1 (Step 409), A is increased by 1
for the purpose of increasing the column of the two-dimensional matrix (Step 421). Then
0 is inputted to row B for the purpose of setting it as the first row of the two-dimensional
matrix (Step 423), and the procedure then returns to Step 409.
If the row variable B is less than n-1, the values located in PSR [A][B] of the PSR
matrix are stored in a buffer temporarily (Step 411). If the values stored in a buffer are
more than "0" (for example, "1"), PSR[A]p] is inputted to PSR[A+i][B] (Step 415). If the
values stored in a buffer are equal to or less than "0," -PSRfAjp] is inputted to PSR[A+ [B]
for inversing the phase code (Step 425). The matrix row variable B is increased by 1
(Step 417) and two-dimensional PSR is produced (Step 419).
It is apparent to those skilled in the art that there are many possible ways of
producing two-dimensional PSR.
TABLE 1
Table 1 shows the number of two-dimensional address beams that are produced by
PR, RE (2nd level), RE (4th level), HAM and PSR. In accordance with the list in Table 1
of the general cases that can occur, PR produces the greates number of address beams (in
the quantity of 2J7 x ID71) and HC produces the least number- However, these numerical
values are for only the general cases that can occur, so there may be some limits in
applying them to a real HM system.
Phase errors that have 0%, 5%, 10%, 15%, 20% and 25% error ratios are
intentionally imposed to all phase codes that are used in the simulation of the present
invention for the purpose of considering phase modulation error caused by the real SLM's
optical properties.
If f(x, y) is an exact phase code representing an address and g(x, y) is a phase code
with phase error, the address code with phase error can be represented by
g(χ, y) =f(χ> y) + > y)
where e(x, y) is a phase error function that is imposed randomly on the exact phase
value of "-1" or "+1" mf(x, y).
If phase code that is generated by this method is similar to the phase code that is
generated by a real SLM, one patter of is acting as one address in multiplexing when phase
code is propagating to the photo-refractive medium in the form of complex function
through the lens depicted in FIG. 1.
In order to investigate the effects of crosstalk that is caused by these addresses, the
correlation between addresses is examined as follows:
J oo . CO Gt (fx y) G} Xξ-fx, η-fy) dξdη
where G(fi, fy) represents a Furrier Transformation of an address beam g(x, y), Gi
and Gj represent the ith and jth address beams respectively, and FT represents the Furrier
Transformation.
To restrict the appearance of crosstalk in an HM system, the following condition
must be satisfied. That is, the auto-correlation component of the address beam must be
estimated into a delta function, and the cross-correlation component of the address beam
must be removed. This property is satisfied by
( 1 if i= j
FT{\g x,y)\2}
1 0 if iΦj
The formula below represents the SNR, which represents the multiplexing
capability, of phase code by the ratio of the value of the auto-correlation component to the
value of the cross-correlation component. As it is shown in the formula below, the auto¬
correlation component is inversely proportional to the SNR, so the SNR is improved by
restricting the appearance of auto-correlation.
A. SNR[dB] = 10 log IO-^:
Where A. and C. represent normalized auto-correlation and normalized cross-
correlation respectively- Also, if the desired data image is restored continuously among
the multiplexed several data images in HM system, the restored data image might have
some errors in the point of threshold detection due to the lack of uniformity and the
irregular cross-correlation values. Accordingly, the mean value and standard deviation of
auto-correlation components have to be maintained as low as possible. Generally, the
mean value for random signals is as follows:
1 " A E{χ) ≡= mx = j_∞ χ ^dx
Where E(x) and mx represent the mean value for x. p(x) represents the possibility
density function of x, which means the possibility of generating x. Accordingly, an
variance and standard deviation of x axe represented as follows:
The effect of crosstalk upon phase codes used in simulations and the stability of
address beams can be analyzed by using a mean value. By this means, a standard deviation
for correlation and an efficient phase code that able to be used with stability in an HM
system can be proposed based on the results of analysis.
Hereinafter, in order to investigate the most efficient phase code for use in an HM
system, the results of the analyses of cross-correlated values and the number of addresses
produced by PR, ER, HC and PSR presently in use are explained.
All phase codes that were used in the simulation intentionally included phase errors
that had 0%, 5%, 10%, 15%, 20% and 25% error ratios for the purpose of considering
phase modulation errors caused by a real SLM's optical properties. Moreover, the
samples used consisted of 501 phase code addresses that were generated in sequence by a
computer program-
Also, to analyze the effect of changes in the magnitude of the address beam, the
simulation was performed using 32 x 32, 64 x 64, 256 x 256 and 512 x 512 pixels.
FIG.5 is a result graph of the SNR for the 4 phase codes that is obtained by varying
the phase error ratio from 0% to 25% in consideration of the SLM's phase errors that occur
during phase modulation due to non-linearity.
To obtain approximate statistics, the SNR for produced phase codes uses the mean
values of auto-correlation components and cross-correlation components for 501 phase
codes that have 32 x 32 pixels and are generated by a computer program.
Referring to FIG. 5, HAM has the highest SNR of 7%, but there is a relatively
strong effect of phase error after about 10%. It means that if there is no phase error,
HAM is an ideal orthogonal code. But, in the case that a large quantity of images are
stored by the SLM, on account of the SLM's nonlinear phase property and the phase error
that can occur in an optical system, the reconstructed images are more likely to be
corrupted by crosstalk-
However, in spite of non-linear random phase errors, other phase codes that have
random phase properties are less affected by phase errors. FIG. 5 also shows that PSR has
the least influenced phase error among the four because PSR is designed to have
orthogonal property-
FIG. 6a and 9b are normalized result graphs showing auto-correlation components
and cross-correlation components between two arbitrarily phase codes that are generated
by the use of PR, ER, HAM and PSR respectively.
Referring to FIG. 6a to 9b, the auto-correlation and the cross-correlation were
obtained by correlating between two arbitrary address phase code whose size was 32x32
pixels and which was selected among 500 different phase code created with the methods of
PR, ER, HAM and PSR, respectively- It can be appreciated that auto correlation
components are approximated to a delta function, but cross-correlation components are
shown to have different phase codes. After cross-correlating phase codes 500 times, the
maximum values obtained for each phase code were 0.16, 0.11, 0.14 and 0.054 respectively.
FIG. 10a, 10b, 10c and lOd are result graphs showing cross-correlation between
two phase codes that are arbitrarily selected from 500 phase codes generated by the use of
PR, ER, HC and PSR respectively.
In the phase-encoded multiplexing method for an HM system, to prevent the
degradation of a recalled image that is part of continuous images, the cross-correlation
value between address beams must be low and, at the same time, almost uniform. Also,
address beams have to be orthogonal in relation to each other in order to have high storage
capacity.
FIG- 11a and lib are result graphs that show (through variation in the size of pixels
in an address beam) the mean and standard deviation in cross-correlation between phase
codes that are generated by the use of PR, ER, HAM and PSR. That is, the mean value
and standard deviation that result from cross-correlation 500 times using each phase code
are obtained by changing the number of address beam pixels to 32 x 32, 64 x 64, 128 x 128
and 256 x 256-
Referring to FIG. 11a and lib, the vertical axis represents the number of pixels and
the mean value for cross-correlation decreases in inverse proportion to the number of
pixels. Similarly, . the standard deviation of cross-correlation also decreases in inverse
proportion to the number of pixels.
FIG. 11a and lib show that, based on the distribution of mean values and the
standard deviation during cross-correlation, PSR has a mean value 2 or 3 times lower than
the PR's mean value according to the number of pixels and also 1.5 or 2 times lower than
the HAM's mean value.
FIG. 12a is a graph showing the SNRs (signal-noise ratio) for PR, ER, HAM and
PSR phase codes by repeating 500 addresses, when the size of the address has 32x32 pixels,
and FIG. 12b is a graph showing the SNRs for PR, ER, HAM and PSR when the size of the
address is 64x64, 128x128 and 256x256 pixels.
Referring to 12a and 12b, the SNR always increases in proportion to the size of
address. However, it is appreciated that SNR for PSR is about 1.5 times higher than other
phase codes.
The SNR for PSR and other phase codes increases in line with an increase in the
number of pixels. Accordingly, in the case that PSR is used for a phase code multiplexing
method in an HM system that has phase modulation errors, it is possible to embody
relatively high SNR and stable phase code address beams.
Table 2
Table 2 shows comparative results for mean value and standard deviation after
cross-correlating phase codes 500 times that have 32 x 32 pixels. The results from cross-
correlation show that the mean value and standard deviation for PSR is 2 times lower than
that for other phase codes. And because this result is in inverse proportion to the SNR, a
relatively high SNR can be deduced from this result.
Also, because the standard deviation that the transition of cross-correlation can be
measured by is the lowest, it is appreciated that the cross-correlation components are
almost stable.
The present invention is not limited to the above-mentioned embodiment, and
diverse modifications of the present invention are possible to the one skilled in the art.
The cross-correlation properties of PSR phase code according to the present
invention (in which the phase code uses 32 x 32 address beams) show that PSR has
relatively high SNR in comparison with other phase codes, since the mean value for PSR
phase code is 0.067. Therefore, the effects of crosstalk occur 2 times less than with other
phase codes.
INDUSTRIAL APPLICABILITY
Also, because PSR phase code's standard deviation according to the present
invention is lower than other with other phase codes, the possibility of crosstalk affecting
reconstructed images is lower than with any other phase codes.
Also, because the PSR phase code used in the present invention has relatively high
SNR, it is possible to realize stable address beams.