Phase holographic imaging device based on acoustic metamaterial and design method
By adopting a phase holographic imaging device based on acoustic metamaterials in the acoustic holographic imaging technology, the decoupling modulation of sound waves is achieved using LAM metasurface and horn lizard optimization algorithms, the problems of insufficient imaging accuracy and energy loss in complex sound fields and multipath environments are solved, and high-precision and high-efficiency sound field reconstruction is achieved.
Patent Information
- Application Number
- CN202510022730.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-07
- Publication Date
- 2025-04-22
- Estimated Expiration
- 2045-01-07
AI Technical Summary
The existing acoustic holographic imaging technology lacks imaging accuracy in complex sound field and multipath environments, and traditional methods have problems with energy loss when modulating amplitude and phase.
Using a phase holographic imaging device based on acoustic metamaterials, decoupling modulation of the phase and amplitude of the sound wave is achieved through the LAM metasurface and the control unit, and the optimal coupling compensation amplitude is calculated using the horned lizard optimization algorithm to improve the accuracy of sound field reconstruction.
In complex sound field and multipath environments, the imaging quality of the acoustic hologram is significantly improved, energy loss is reduced, and the accuracy and system efficiency of sound field manipulation are improved.
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Figure CN119864003A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of acoustic imaging, and in particular to a phase holographic imaging device based on acoustic metamaterials and a design method thereof. Background Art
[0002] Acoustic holography is an advanced method of acoustic wave manipulation. It records and reconstructs the complete information of the wave field to achieve precise control and imaging of the sound field. In recent years, it has shown great application potential and is of great significance to a variety of applications such as particle manipulation, improved medical imaging, and ultrasound therapy. In the past few years, people have made considerable efforts in studying acoustic holographic control. Holograms are usually set up by active transducer arrays or passive metamaterials to achieve pixel-by-pixel modulation of the phase and amplitude of the sound waves. However, it is still challenging to achieve complete control of sound, which requires completely independent modulation of the amplitude and phase on the two degrees of freedom in acoustic holography, which together determine any signal. Figure 1 Figure 1 is a diagram of the acoustic holographic imaging mechanism; a is amplitude holography with phase modulation (AH by PM); b is amplitude holography with amplitude-phase decoupling modulation (AH by APM); c is phase holography with amplitude-phase decoupling modulation (PH by APM). However, when the incident wave interacts with the complex metasurface, a complex coupling effect must occur between the amplitude and the phase. The previous pure phase holography (PM) method ignores the error caused by the inevitable change of amplitude information during the phase modulation process ( Figure 1 a), although phase modulation can adjust the sound field, it cannot solve the effect of amplitude on the image. In high-resolution imaging, strict reliance on phase control may lead to distortion. To overcome this defect, an amplitude phase holography (APM) method that simultaneously controls amplitude and phase is proposed, which effectively improves the ability to manipulate the holographic sound field ( Figure 1 b), especially for creating complex 3D patterns. Although the APM method increases the freedom of sound field control, its system often introduces computational complexity and causes energy loss due to the inherent amplitude manipulation, thus affecting the overall efficiency of sound propagation.
[0003] LAM metasurface, namely LossyAcoustic Metamaterial metasurface, is a metasurface made of lossy acoustic metamaterial; LAM metasurface is an artificial composite material surface with special acoustic properties. By designing its microstructure, effective control of sound waves can be achieved. This material surface has broad application prospects in the field of acoustics, such as sound wave invisibility, sound wave focusing, sound wave absorption, etc.; in the process of acoustic holographic imaging, the phase holographic LAM metasurface design of coupling compensation amplitude is the key to achieve sound wave control. The accuracy of the hologram is crucial to the accuracy of sound field reconstruction, and the manufacturing accuracy of the hologram is affected by various factors, including errors in the manufacturing process. In the process of manufacturing LAM metasurfaces using 3D printing technology, 3D printing errors may cause distortion and unexpected areas in the hologram projected from the LAM metasurface to the image plane; based on this, a design method for LAM metasurfaces based on acoustic metamaterials is proposed. Summary of the invention
[0004] The purpose of the present invention is to address the problems existing in the background technology and propose a phase holographic imaging device and a design method based on acoustic metamaterials to improve the performance of acoustic holograms in sound field reconstruction, especially in complex sound fields and multipath environments.
[0005] The technical solution of the present invention:
[0006] A first aspect of the present invention provides a phase holographic imaging device based on acoustic metamaterials, comprising an acoustic wave generator, a LAM metasurface, and at least one control unit;
[0007] Wherein, the sound wave generator is used to generate plane sound waves;
[0008] The LAM metasurface is used to receive sound waves and modulate their phase and amplitude. The LAM metasurface is composed of multiple independent cells, and the cells are distributed in a rectangular array.
[0009] The control unit is used to control the structure and geometry of the cells inside the LAM metasurface, so that under the irradiation of frontal sound, the sound waves reach the decoupling point in the internal structure space of the LAM metasurface, and realize the decoupling modulation of the phase and amplitude of the surface reflected sound waves by the cells; the control unit also includes a processor, which is used to calculate the sound pressure projected to the phase position of the holographic surface according to the input image, and adjust the size parameters of the cells inside the LAM metasurface through the controller.
[0010] Preferably, each cell has the same external dimensions and different internal dimensions; the cell is configured as a fixed structure or an adjustable structure;
[0011] When the unit cell is a fixed structure, the specific parameters of each unit cell are calculated by the processor, and the LAM metasurface with corresponding size parameters is manufactured by additive manufacturing;
[0012] When the cell is set as an adjustable structure, the position of the internal structure of the cell is adjusted by the control unit in cooperation with the action structure so that it satisfies the specific parameters of each cell obtained by the processor calculation.
[0013] Preferably, the unit cell of the LAM metasurface consists of three channels, upper, middle and lower, numbered C1, C2 and C3 respectively, and their heights are h1, h2 and h3 respectively;
[0014] The width of channels C1 and C3 is d = βD;
[0015] The filling ratio of the air channel is defined as β = 0.8, D = λ / 4 is the unit cell width, λ is the wavelength of the sound wave; the speed of sound in air is C0 = 340ms -1 , the sound wave frequency is selected as 1.7kHz, and D=5mm is obtained.
[0016] Preferably, the width of the middle cell is w; the channel wall is acoustically rigid, the total height of the cell is h = h1 + h2 + h3, and h2 is fixed at 5 mm;
[0017] The unit cell acoustic wave incident channel length h1 and the middle channel width w have a modulating effect on the acoustic wave phase and amplitude. The relationship between h1 and w and the phase and amplitude can be represented by the following formula
[0018]
[0019]
[0020] Preferably, the cell width D has a sub-wavelength property, and the amplitude A and phase φ of the reflected sound wave are independent of the incident direction.
[0021] Preferably, the incident sound wave on the LAM metasurface is at an arbitrary angle; the angle of the reflected wave is always perpendicular to the LAM surface.
[0022] Preferably, the LAM supersurface is manufactured using a 3D printing device; the accuracy of the 3D printing device is 0.2 mm.
[0023] Preferably, a confocal microscope is used to perform a three-dimensional scan of the manufactured LAM metasurface with a scanning accuracy of λ / 4 to evaluate the errors in the manufacturing process and the reconstruction quality of the hologram, and optimize the design to reduce errors in the 3D printing process.
[0024] Preferably, the control unit further includes a processor, and controls the imaging device to realize acoustic phase holographic imaging according to the following steps:
[0025] S1, discretizing the hologram to be imaged into a sub-wavelength scale image pixel sequence and placing it at a phase position;
[0026] S2, using the time reversal method to calculate the amplitude and phase distribution of the LAM metasurface required to reconstruct the hologram;
[0027] S3, using the horned lizard optimization algorithm to solve the optimal coupling compensation amplitude, so as to optimize the calculation of the compensation amplitude and improve the accuracy of the sound field reconstruction;
[0028] S4. Use the LAM metasurface to reflect the incident sound wave, encode the phase and compensation amplitude information of the transmitted image after coupling, so as to reconstruct the acoustic hologram matching the pre-designed image and realize phase imaging.
[0029] A second aspect of the present invention provides a design method for a phase holographic imaging device based on acoustic metamaterials, comprising:
[0030] Discretize the acoustic holographic image to be encoded into a sub-wavelength scale pixel sequence;
[0031] Design the unit cell structure of the LAM metasurface according to the phase and compensation amplitude information of the acoustic holographic image to be encoded;
[0032] The unit cell in the LAM metasurface includes three channels: upper, middle, and lower, with different heights and widths, ensuring that it has sub-wavelength characteristics;
[0033] The amplitude and phase information corresponding to the holographic image are encoded on the LAM metasurface to achieve decoupled modulation of the acoustic wave.
[0034] Compared with the prior art, the present invention has the following beneficial technical effects:
[0035] The present invention uses a confocal microscope to perform three-dimensional scanning of the printed holographic surface with a scanning accuracy of λ / 4, i.e., one quarter of the wavelength. This high-precision scan allows the printed hologram to be analyzed in detail and compared with the theoretical hologram to evaluate the errors in the manufacturing process and the reconstruction quality of the hologram. In this way, the accuracy of the hologram can be quantitatively evaluated and the design can be optimized to reduce errors in the 3D printing process. This is of great significance for improving the performance of acoustic holograms in sound field reconstruction, especially in complex sound fields and multipath environments. In addition, this high-precision manufacturing and evaluation method also provides new possibilities for the application of acoustic holograms in other fields, such as high-capacity acoustic volume display and dynamic particle manipulation. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] Figure 1 This is a diagram of the acoustic holographic imaging mechanism;
[0037] Figure 2Diagram of iterative optimization process of HLOA algorithm for solving optimal amplitude compensation;
[0038] Figure 3 It is the relationship diagram between the strong coupling layer and the weak coupling layer;
[0039] Figure 4 The design diagram of the phase holographic LAM metasurface with coupled compensation amplitude;
[0040] Figure 5 This is the experimental diagram of the amplitude compensated phase acoustic holographic scanning field;
[0041] Figure 6 This is the holographic correlation verification diagram;
[0042] Figure 7 Verification of the anti-interference capability of amplitude compensated phase acoustic hologram. DETAILED DESCRIPTION
[0043] In this paper, an acoustic phase hologram (APH) method is proposed through analytical derivation, numerical simulation, algorithm optimization and experimental demonstration to adapt to holographic imaging in complex environments. The coupling mechanism of phase and amplitude between global pixels in the hologram is deeply studied, and the horned lizard optimization algorithm (HLOA) is introduced to iteratively optimize the optimal coupling compensation amplitude in complex environments. The time reversal method is used to calculate the metasurface amplitude and phase distribution required for reconstructing the hologram. The design idea is realized by encoding the phase and compensation amplitude information of the transmitted image after coupling using the LossyAcoustic Metamaterial (LAM) structure. This design idea is based on an inherent mechanism different from the previous design and relies on the compensation amplitude of the corresponding phase hologram coupled in complex environments using phase holography. This method not only has the advantage of phase modulation not directly causing energy loss in the traditional pure phase modulation (PM) method, but also integrates the characteristics of amplitude-phase modulation (APM) method to simultaneously control phase and amplitude to increase the freedom of sound field control. The problem of insufficient imaging precision due to lack of amplitude control in PM in complex sound fields and multipath environments is solved, as well as the problem of unnecessary energy loss caused by direct amplitude control by the APM method, which affects system efficiency. Compared with PM and APM of traditional acoustic metasurfaces, the APH method can obtain high-fidelity and high-quality acoustic holograms in complex sound fields with energy loss, which is of great significance for the practical application of acoustic holography technology.
[0044] The proposed mechanism enables the phase holographic imaging method after coupling compensation amplitude to achieve fine control of the three-dimensional acoustic field, while having the advantages of simple design, low manufacturing cost, flat profile, high efficiency, and high subwavelength resolution. The effectiveness of this mechanism is demonstrated by obtaining high-fidelity acoustic holograms through amplitude compensation of complex pattern phase holographic imaging in complex environments. Similar to optical holograms, acoustic holography provides new capabilities for particle manipulation and application improvement. However, due to the lack of the ability to modulate amplitude and phase simultaneously, the current production of acoustic holograms has to rely on phase modulation methods and complex decoupled amplitude phase modulation. This paper numerically and experimentally proves that high-fidelity acoustic holograms can be stably generated using phase modulation with coupled compensation amplitude.
[0045] The following uses a specific case to introduce this solution in detail:
[0046] Example 1
[0047] The present invention proposes an acoustic phase holographic imaging method, such as Figure 2 As shown, a1 is the phase hologram; a2-a8 are the phase holograms after coupling compensation amplitude; b1 is the initial random amplitude; b2-b8 are the iterative solution process of the coupling compensation amplitude; c1-c8 are local pixels in the compensation amplitude; d1 is the local pixel at the position of the letter P in the phase hologram of a1; d2-d8 are the local pixels at the position of the letter P in the phase hologram after coupling amplitude compensation; e is the iterative convergence curve; f is the metasurface model encoding amplitude and phase information at different positions; g is a schematic diagram of the LAM metasurface; Figure 2 g shows the LAM metasurface with encoded phase holography; Figure 2 f shows the LAM metasurface model after the coded phase holographic coupling compensation amplitude. Considering the general principle of acoustic holographic reconstruction, the hologram is discretized into a sub-wavelength scale image pixel sequence. The coded amplitude A on the LAM metasurface j and phase φ j The sound pressure P j The sound pressure can be calculated by superimposing the wave components of all pixels on the image plane. The calculation of the sound pressure is represented by the following formula. j and phase φ j The information is pre-designed in the unit structure of the corresponding LAM metasurface. Under the irradiation of a plane wave with a fixed frequency of f = 17000 Hz, the unit cell of the LAM metasurface modulates the amplitude A of the incident sound wave. j and phase φ j The reflected sound waves are modulated to reconstruct a holographic image that matches the pre-designed image.
[0048]
[0049] Where N is the total number of image pixels, A0l and φ 0l They are (x l ,y l ,z l ) is the amplitude and initial phase at the lth pixel, A j and φ j They are the amplitude and phase of the jth pixel on the hologram plane, respectively. The image pixel and the hologram pixel are at (x j ,y j ,z j ) can be represented as Due to the time reversal symmetry, the pre-designed acoustic holographic image can be directly projected, and the holographic image can be characterized as
[0050]
[0051] Where n is the total number of pixels of the holographic image, is the spatial point (x, y, z) and the hologram pixel (x j ,y j ,z j ). However, previous schemes for generating pure phase holograms assumed that the amplitudes were all A j =1, so the pure phase hologram can be characterized as
[0052]
[0053] HLOA algorithm solves the amplitude mechanism of phase holographic compensation
[0054] In the study of solving the coupling compensation amplitude problem, this paper introduces a new swarm-based intelligent optimization algorithm, the Horned Lizard Optimization Algorithm (HLOA). The HLOA algorithm is inspired by the defense strategies of horned lizards when attacked, including concealment, skin color change, blood spray and escape strategies, which help horned lizards avoid attacks from predators. Compared with traditional intelligent optimization algorithms, such as genetic algorithms and particle swarm algorithms, the HLOA algorithm shows significant advantages in dealing with high-dimensional optimization problems. By simulating the five defense strategies of horned lizards, the algorithm achieves a good balance between global search and local search strategies, and is particularly suitable for solving optimization problems in high-dimensional solution spaces. Taking the acoustic hologram of the first letter P of "Phase" as an example, the pre-designed letter P image consists of 87×87 pixels, that is, it is necessary to solve the global optimal coupling compensation amplitude matrix based on the 87×87-dimensional phase hologram. In the process of solving the compensation amplitude, the search strategy of the global 7569 pixels of the balanced hologram and the local position of the letter P in the image must be considered at the same time to ensure that the loss values of the global and local positions of the compensation amplitude obtained by each iterative optimization are in the direction of decreasing. Finally, the phase hologram with the coupled optimal compensation amplitude is obtained, as shown in Figure 2 As shown in a8.
[0055] In the process of reconstructing the acoustic hologram, the horned lizard's defense strategy is introduced into the phase holographic calculation to calculate the optimal compensation amplitude of the hologram to improve the accuracy and efficiency of the sound field reconstruction. After the compensation amplitude is introduced, a complex coupling relationship will appear between the amplitude and phase in the hologram. This coupling relationship is not a simple linear superposition of a single pixel. This coupling relationship involves direct and indirect interactions, which are reflected in each pixel of the hologram.
[0056] by Figure 2 Taking the middle pixel in d1 as an example, when the amplitude compensation is performed on this pixel, a direct strong coupling effect is observed between the pixel and its phase and compensation amplitude. In addition, the 8 pixels around the middle pixel also have an indirect weak coupling effect on the coupling of the middle pixel. Furthermore, the 8n pixels in the outer layer also have a smaller indirect weak coupling effect on the middle pixel. This complex coupling effect requires that when designing the hologram, the interaction between each pixel and its surrounding pixels must be taken into account to ensure that the hologram can accurately reconstruct the expected sound field.
[0057] From the perspective of the mechanism of acoustic holographic imaging, this paper deeply studies the strong coupling effect between imaging pixels and the weak coupling effect of the peripheral pixels on the central pixel when a certain pixel is used as the radiation source. In an acoustic hologram, each pixel not only serves as the emission source of sound waves, but also interacts with other pixels. This interaction manifests itself as a direct strong coupling effect and an indirect weak coupling effect, which together determine the reconstruction quality and efficiency of the acoustic hologram.
[0058] Study on the coupling mechanism of amplitude and phase
[0059] In the reconstruction process of the acoustic hologram, the spatial variation of the amplitude A(x) and the phase φ(x) can be coupled through the wave equation of the acoustic wave, and the sound pressure can be described by the wave equation or its propagation complex form, expressing the sound pressure in the complex form P(x) = A(x)e iφ(x) The coupling relationship between amplitude A(x) and phase φ(x) can be studied by taking the derivative of the complex sound pressure to reveal the interaction between amplitude and phase. In sound wave propagation, the rate of change of amplitude and the rate of change of phase are related to each other through the propagation equation, and the amplitude change can be and phase change The coupling relationship between them is characterized as follows:
[0060]
[0061] This coupling relationship reflects how amplitude and phase affect each other during sound wave propagation. When the phase changes rapidly, the amplitude may decrease, and vice versa. This complex coupling effect requires that when designing a hologram, the interaction between each pixel and its surrounding pixels must be considered to ensure that the hologram can accurately reconstruct the expected sound field. The coupling characteristics of amplitude and phase in space are closely linked through interference and wave equations. In the ideal case without attenuation and scattering, the relationship between amplitude and phase can be simplified to:
[0062]
[0063] Direct strong coupling effect of target pixel
[0064] In acoustic holograms, the direct coupling effect between individual pixels is a direct result of the principle of acoustic interference and the inhomogeneity of medium propagation. Each pixel can be regarded as the emission source of the sound wave, where the amplitude and phase jointly determine the contribution of the point to the overall sound field. According to the phase and amplitude coupling mechanism, the concealment and blood jet strategies in the Horned Lizard Optimization Algorithm (HLOA) are used to solve the compensation amplitude of each pixel in the hologram to compensate for the amplitude distortion caused by phase encoding and achieve more accurate sound field reconstruction.
[0065] In mathematical expression, a single pixel in a phase hologram can be defined as p(i,j), and its amplitude and phase are represented by A(i,j) and φ(i,j), respectively. Therefore, the complex representation of the phase hologram can be written as P(i,j)=A(i,j)e j φ(i,j) The sound pressure of a single pixel in the acoustic hologram after the corresponding compensation amplitude is defined as C(i,j), where C(i,j) is the adjustment factor related to the phase hologram P(i,j), which can be expressed as
[0066] C(i,j) strong =f(P(i,j))=k1A(i,j)+k2φ(i,j)
[0067] The f function is the nonlinear mapping relationship between amplitude and phase under ideal conditions. This function depends on the amplitude and phase information in the phase hologram. It adjusts the compensation amplitude according to the specific values of the amplitude and phase to achieve accurate reconstruction of the sound field. In this mapping relationship, k1 and k2 serve as adjustment factors for the amplitude and phase, respectively, characterizing the degree of influence of the amplitude and phase on the compensation amplitude. By adjusting C(i,j), the problem of insufficient imaging fineness caused by the lack of amplitude control can be effectively compensated.
[0068] Global indirect weak coupling
[0069] In acoustic holograms, the coupling effect of adjacent pixels on the target pixel cannot be ignored. Figure 2 As shown in c1-c8, when the phase hologram and compensation amplitude of the target pixel are coupled with each other, the coupling effect of the surrounding pixels will also have a certain impact on the target pixel. Therefore, it is particularly important to study the indirect coupling relationship between the target pixel and the n layers of pixels around it. This indirect coupling relationship is not only affected by the distance and phase difference between the pixels, but also by the mutual coupling effect of the global pixel on the central pixel. By considering the indirect weak coupling effect between global pixels, the fineness of imaging can be significantly improved, and the performance of the system in complex sound fields and multipath environments can be improved. In mathematical expression, the global weak coupling effect can be represented as
[0070]
[0071] Where D d Represents the set of all global pixels whose distance from the target pixel is d; Defined as the distance attenuation factor; w d is the weight coefficient related to the distance d, which reflects the degree of influence of the coupling effect between pixels in different layers on the coupling effect of the target pixel; φ(x,y)-φ(i,j) represents the phase difference between the target pixel and the peripheral pixels. The threshold value of the influence of the weak coupling layer on the intermediate pixel is defined as e=10 -5 , that is, when the weak coupling effect of the weak coupling layer pixel on the target pixel is less than e, the search for the outer layer pixel is stopped. The blood jet strategy in the Horned Lizard Optimization Algorithm (HLOA) is used to balance the direct strong coupling effect of the local target pixel in the hologram and the indirect weak coupling effect of the global pixel on the target pixel, so that the coupling effect between the global pixels that considers both strong coupling and weak coupling effects can be characterized as
[0072]
[0073] In the above study, a mathematical model was used to describe the weak coupling effect between pixels in the acoustic hologram, which is consistent with the academic research field of acoustic holograms. The model takes into account the distance and phase difference between pixels, as well as their influence on the central pixel, which are important factors in the acoustic hologram. By setting the threshold e, the search range can be effectively limited, thereby optimizing the compensation amplitude of the hologram, improving the fineness of the imaging, and improving the performance of the system in complex sound fields and multipath environments. In addition, the application of the HLOA algorithm, especially its blood jet strategy, provides an effective method for balancing the solution of local and global coupling effects, which is of great significance for achieving accurate reconstruction of acoustic holograms.
[0074] Design of Phase LAM Metasurface with Coupling Compensation Amplitude
[0075] In the process of acoustic holographic imaging, the phase LAM metasurface design of coupled compensation amplitude is the key to achieving acoustic wave control. Figure 4 The design process of the phase hologram on the LAM metasurface after encoding coupling compensation amplitude is demonstrated, where a is the phase hologram; b is the compensation amplitude; c is the phase LAM metasurface with encoding coupling compensation amplitude; d is the unit cell structure of the LAM metasurface; e and f are the responses of the unit cell parameters h1 and w to the reflection amplitude and phase under decoupling conditions; Figure 4 d shows the geometry of the unit cell. Under the irradiation of positive sound, the sound wave reaches the decoupling point in the internal structure space of the LAM metasurface, realizing the decoupled modulation of the phase and amplitude of the surface reflected sound wave by the unit cell. The decoupling of the amplitude and phase of the sound wave on the LAM metasurface realizes that all combinations of amplitude and phase on the holographic surface can be modulated in the full range of [0, 1] and [0, 2π], such as Figure 4 e and 4f.
[0076] The unit cell in the LAM metasurface consists of three channels: upper (C1), middle (C2), and lower (C3), with heights h1, h2, and h3, respectively. The width of channels C1 and C3 is d = βD (where the filling ratio of the air channel is defined as β = 0.8, D = λ / 4 is the unit cell width, and λ is the wavelength of the sound wave). In this study, the speed of sound in air is C0 = 340ms -1 , the sound wave frequency is selected as 1.7kHz, and D = 5mm is obtained. The width of the middle cell is w, the channel wall is assumed to be acoustically rigid, the total height of the cell is h = h1 + h2 + h3, and h2 is fixed to 5mm. The cell acoustic wave incident channel length h1 and the middle channel width w have a modulation effect on the acoustic wave phase and amplitude. Figure 4 e, f show the reflection amplitude and phase response of the cell to the parameters h1 and w under decoupling conditions. The relationship between h1 and w and phase and amplitude can be represented by the following formula
[0077]
[0078] Taking the acoustic hologram of the letter P as an example, the phase hologram of the letter P can be coupled with the compensation amplitude and encoded onto the LAM metasurface. Figure 4 As shown in Figure c, the holographic metasurface encoding the letter P is composed of an 87×87 cell array. The outer dimensions of each cell are the same, while the internal structure dimensions are determined by the phase and amplitude information of the pixels at different positions of the coupled hologram. Since the cell width D has a subwavelength nature, the amplitude A and phase φ of the reflected sound wave are independent of the incident direction. By setting the plane wave at an angle of 45°, a phase hologram after coupling compensation amplitude can be presented on the image plane. Figure 3 As shown, where a is Figure 2 The local coupling effects of c1, c2, and d1 in the figure; b is the coupling effect between the target pixel in c2 and the pixels in the surrounding layers; it is worth noting that Figure 3 The phase hologram in a is obtained by taking the cosine of the phase in the range of [0, 2π], which effectively improves the impact of the same beginning and end values of the period at the connection position of two adjacent periods on the imaging quality, making the phase hologram range become [-1, 1]. This design method can ensure that the amplitude and phase of each pixel in the hologram are accurately encoded, thereby achieving high-quality sound field reconstruction.
[0079] In this embodiment, each cell has the same external dimensions and different internal dimensions; the cell is set to a fixed structure or an adjustable structure;
[0080] When the unit cell is a fixed structure, the specific parameters of each unit cell are calculated by the processor, and the LAM metasurface with corresponding size parameters is manufactured by additive manufacturing. Specifically, the sound pressure (P(x) = A(x)e projected onto the holographic surface phase position) is calculated according to the input image. iφ(x) ), thereby determining the amplitude and phase information at the corresponding position. According to the phase and amplitude, the information of each cell (such as Figure 4 As shown in the figure, each unit cell regulates the sound wave through d, h1, w and λ in these two formulas (λ is the wavelength of the sound wave).
[0081] When the cell is set as an adjustable structure, the position of the internal structure of the cell is adjusted by the control unit in coordination with the action structure to satisfy the specific parameters of each cell calculated by the processor. Specifically, the upper channel C1 in the cell can be set as an active structure, and the upper channel C1 can be driven to move in the cell by a pneumatic or hydraulic drive structure to adjust the position between the middle channel C2 and the lower channel C3, thereby changing the parameters to satisfy the requirements and regulate the sound waves.
[0082] Characterization of the fabrication process of amplitude compensated phase acoustic hologram
[0083] The accuracy of the hologram is crucial to the accuracy of the acoustic field reconstruction, and the manufacturing accuracy of the hologram is affected by various factors, including errors in the manufacturing process. In the process of manufacturing LAM metasurfaces using 3D printing technology, 3D printing errors may cause distortion and unexpected areas in the hologram projected from the LAM metasurface onto the image plane. Figure 5As shown in the figure, a. scanning experimental platform; b. phase hologram of the letter P, ginkgo leaf and rose; c. amplitude compensated phase hologram of the letter P, ginkgo leaf and rose; d. experimental hologram of the letter P, ginkgo leaf and rose; In order to improve the accuracy of the hologram, this study used a 3D printing device with a printing accuracy of 0.2mm to manufacture the required LAM metasurface (such as Figure 5 a). The experimental phase of this study was conducted in a sealed anechoic chamber to investigate the process of holographic fabrication. Specifically, the oblique incidence of plane waves emitted from a loudspeaker onto the LAM metasurface facilitated holographic generation. After the incident acoustic waves interacted with the LAM metasurface, they underwent demodulation and were then remodulated and reflected at an angle perpendicular to the LAM metasurface. A microphone mounted on a scanning platform was used to scan the modulated acoustic waves, thereby capturing the necessary holograms. It is worth noting that the LAM metasurface does not impose any angular constraints on the incident acoustic waves; the angle of the reflected wave is always perpendicular to the LAM surface. To further demonstrate the imaging quality of the phase acoustic holograms after amplitude compensation, more complex target images, such as ginkgo leaves and rose flowers, were selected for holographic fabrication. The printed holographic surface was scanned in three dimensions using a confocal microscope with a scanning accuracy of λ / 4, i.e., one quarter of the wavelength. This high-precision scan allows the printed holograms to be analyzed in detail and compared with theoretical holograms to evaluate the errors in the manufacturing process and the reconstruction quality of the holograms. Through this method, the accuracy of the hologram can be quantitatively evaluated and the design can be optimized to reduce errors in the 3D printing process. This is of great significance for improving the performance of acoustic holograms in sound field reconstruction, especially in complex sound fields and multipath environments. In addition, this high-precision manufacturing and evaluation method also provides new possibilities for the application of acoustic holograms in other fields, such as high-capacity acoustic volume display and dynamic particle manipulation.
[0084] Holographic correlation verification
[0085] In this section, the initials “H” from the word “hologram” are selected as the target image to verify the compensation optimization effect of the amplitude compensation method on various phase holograms. Figure 6 As shown, a is the phase hologram of the letter H. b is the optimized hologram after coupling amplitude compensation; c is the experimental hologram; d is the three-dimensional deviation between the optimized hologram and the pre-designed image; e is the correlation between the letter H hologram obtained at different imaging distances by the APH, PH and AH methods and the pre-designed image; f is the amplitude compensation of the phase hologram a; g is the convergence curve during the iterative optimization process of the HLOA algorithm; experimental verification was carried out using an image plane containing a 91×91 pixel array. Figure 6 a shows the phase hologram of the letter “H” for comparison; Figure 6 b shows the phase hologram with coupled amplitude compensation obtained by numerical simulation; Figure 6 c shows the experimental hologram. Figure 6 d shows the 3D deviation between the amplitude-compensated phase hologram and the pre-designed image. Figure 6 e shows the correlation curves between the holograms obtained by the APH, PM, and APM methods and the pre-designed images under different distance conditions. These curves show the correlation between the fabricated holograms and the pre-designed images, providing an evaluation of the performance of different holographic imaging techniques under the same acoustic parameters. Therefore, when designing a hologram, the optimal positional relationship between the image plane and the LAM metasurface must be considered to obtain the best imaging results. Figure 6 f shows the amplitude compensated phase hologram with the best coupling to the phase hologram calculated iteratively using the HLOA (Horned Lizard Optimization Algorithm) algorithm. Figure 6 g depicts the convergence curve of the HLOA algorithm in 1000 optimization iterations, as well as the phase hologram with compensated amplitude at the corresponding position after various iteration counts. After adjusting the color bar range from [-1, 1] to [-1, 0], the hologram at the corresponding iteration position shows a phase hologram with coupled amplitude compensation, which enhances the recognizability of the hologram to the naked eye and significantly improves the quantitative image quality assessment. In the experiment, the phase information and compensated amplitude information of the coupled holographic image are encoded into the structural dimensions of the LAM metasurface sample unit, and the LAM metasurface sample is manufactured using 3D printing technology. The sample size is 12.6×12.6×2cm 3 , consisting of a 25×25 unit array, and the image area is 22 cm away from the surface of the LAM metasurface.
[0086] Image quality analysis
[0087] Figure 6 b and 6c show the sound pressure distribution of the acoustic field in the image plane of the numerically simulated and experimental holograms, respectively. These results show that there is good agreement between the numerical simulation results and the experimental results. In order to quantitatively evaluate the quality of the phase hologram after amplitude compensation, an accurate comparison is performed between the optimized hologram and the pre-designed image. For this purpose, an image correlation parameter is introduced to measure the similarity between the holograms obtained by the APH, PH and AH methods and the pre-designed image. Correlation values tending to 1 indicate a higher similarity between the generated hologram and the target image. Unit correlation can only be achieved when the generated hologram is completely consistent with the pre-designed image.
[0088] Considering that the distance between the image plane and the LAM metasurface is between 15 and 25 cm, the effect of different imaging distances on image correlation is analyzed. The correlation between the holographic image and the pre-designed original image can be characterized by the following formula:
[0089]
[0090] Where P represents the target image, H represents the holographic image, and PR and HG represent the average values of each image.
[0091] Figure 6 e depicts the relationship between image correlation and imaging distance. The results show that amplitude compensation enhances the design of phase holograms. Specifically, holograms designed using the amplitude phase holography (APH) method exhibit higher correlation. Compared with pure phase holography (PH) and pure amplitude holography (AH) methods, the APH method shows significant advantages in hologram correlation. Within the imaging distance range of 15 to 25 cm, the correlation of holograms designed by the APH method always remains above 92%. It is worth noting that the maximum image correlation reaches 94.542%, while the correlation at the lowest position is 92.006%, which is significantly higher than the correlation of holograms designed by the PH and AH methods.
[0092] It is also observed that, under the same imaging conditions, the correlation of the holographic images designed by the PH and AH methods decreases with increasing imaging distance. It is noteworthy that the correlation of the holograms designed by the PH method decreases more slowly than that of the AH method. In contrast, the correlation of the holograms designed by the APH method changes more gradually. The experimental results confirm the effectiveness and flexibility of our method in reconstructing complex holograms under complex conditions.
[0093] Verification of the anti-interference capability of amplitude-compensated phase acoustic hologram
[0094] In this section, we will explore the application capabilities of the acoustic phase holography (APH) method in complex environments. Figure 7 As shown in 7a, phase hologram with different noise intensities added; b. phase hologram with amplitude compensation optimization algorithm after adding different noise intensities; c. amplitude hologram after adding different noise intensities; d. pre-designed images under different noise intensities; e. correlation curve distribution between the three holograms and the pre-designed images; f. deviation curve distribution between the three holograms and the pre-designed images. The letter "H" representing "holography" is selected as the pre-designed image, and the imaging effects of phase holography (PH), acoustic phase holography (APH) and amplitude holography under random noise of different intensities are systematically studied. By introducing random noise of different amplitudes into the pre-designed image (such as Figure 7 d), aiming to verify the adaptability of various holographic imaging methods to environmental noise.
[0095] Experiments were conducted to determine the holographic imaging performance of the PH method under different noise backgrounds ( Figure 7a). Subsequently, the phase hologram with the best compensation amplitude under various noise backgrounds is shown ( Figure 7 b), and amplitude holograms under different noise conditions (see Figure 7 c). These results provide an intuitive understanding of the performance of different holographic imaging methods under the influence of noise.
[0096] In order to quantitatively evaluate the performance of the holographic imaging method, a correlation validation was performed ( Figure 7 e), the correlation between the holograms obtained by various holographic imaging methods and the pre-designed images under different environmental noise intensities was compared. This comprehensive analysis not only highlights the adaptability of the APH method in complex environments, but also provides new insights into the performance of various holographic imaging methods in the presence of noise. These findings are helpful to advance the practical application of holographic imaging technology in noise control and image quality enhancement.
[0097] In conclusion, the study not only confirms the applicability of acoustic phase holography (APH) in complex environments, but also provides new insights and methods for noise control and image quality enhancement in the field of acoustic holography. These findings are of great significance for the practical application of acoustic holography in engineering applications. In order to quantify the difference between the holograms obtained by different methods and the pre-designed holograms, this study introduced the concept of normalized mean square error (NMSE). A lower NMSE value indicates a smaller overall difference between the holograms obtained by different methods and the pre-designed holograms, thereby indicating that the holographic image quality obtained by this method is higher. Figure 7 f shows the deviation between the holograms obtained by the APH, PH, and AH methods and the pre-designed images, which further evaluates the performance of different holographic imaging techniques under the same acoustic parameters. NMSE can be expressed as
[0098]
[0099] Where P represents the theoretical hologram, H represents the fabricated hologram, and ∥"∥_2 represents the Euclidean norm. In addition, the relative position between the image plane and the LAM metasurface will also affect the image quality.
[0100] in conclusion:
[0101] It has been demonstrated that by coupling a phase hologram with an optimal compensation amplitude hologram calculated for a corresponding complex imaging environment, the resulting hologram not only has the characteristics of resisting the inherent energy attenuation of the phase hologram, but also integrates the performance of the APM method in controlling phase and amplitude, thereby improving the accuracy of sound field manipulation. This embodiment deeply studies the direct strong coupling effect and indirect weak coupling interaction of pixels in the image plane in holographic imaging, calculates the dynamic coupling relationship between pixels at different positions, and introduces an intelligent optimization algorithm to calculate the dynamic coupling compensation amplitude for various application scenarios. This method realizes dynamic and precise coupling modulation of sound waves, thereby producing high-quality holographic images. In order to verify the performance of the phase holographic method after optimal amplitude compensation, not only the numerical simulation and experimental realization of high-fidelity acoustic holograms are demonstrated, but also the application of the new mechanism of phase holographic imaging based on coupled optimal amplitude compensation in the generation of arbitrarily complex holograms is demonstrated. In addition, it is clarified that the hologram generated by combining the phase hologram with the optimal compensation amplitude for each imaging environment effectively solves the problem of insufficient imaging accuracy in complex sound fields and multipath environments due to the lack of amplitude control in the traditional phase modulation PM method, as well as the unnecessary energy loss caused by direct amplitude control in the APM method. This significantly improves the imaging quality of acoustic holograms in complex sound fields.
[0102] In this embodiment, by coupling the phase hologram with the optimal compensated amplitude hologram calculated for the corresponding complex imaging environment, the resulting hologram not only has the characteristic of resisting the inherent energy attenuation of the phase hologram, but also integrates the performance of the APM method in controlling phase and amplitude, thereby improving the accuracy of sound field manipulation.
[0103] Example 2
[0104] The present invention provides a design method for a phase holographic imaging device based on acoustic metamaterials, comprising:
[0105] Discretize the acoustic holographic image to be encoded into a sub-wavelength scale pixel sequence;
[0106] Design the unit cell structure of the LAM metasurface according to the phase and compensation amplitude information of the acoustic holographic image to be encoded;
[0107] The unit cell in the LAM metasurface includes three channels: upper, middle, and lower, with different heights and widths, ensuring that it has sub-wavelength characteristics;
[0108] The amplitude and phase information corresponding to the holographic image are encoded on the LAM metasurface to achieve decoupled modulation of the acoustic wave.
[0109] In this embodiment, the designed LAM metasurface can ensure that the amplitude and phase of each pixel in the hologram are accurately encoded, thereby achieving high-quality acoustic field reconstruction; the printed holographic surface is three-dimensionally scanned using a confocal microscope with a scanning accuracy of λ / 4, i.e., one quarter of the wavelength. This high-precision scan allows the printed hologram to be analyzed in detail and compared with the theoretical hologram to evaluate the errors in the manufacturing process and the reconstruction quality of the hologram. In this way, the accuracy of the hologram can be quantitatively evaluated and the design can be optimized to reduce errors in the 3D printing process. This is of great significance for improving the performance of acoustic holograms in acoustic field reconstruction, especially in complex acoustic fields and multipath environments. In addition, this high-precision manufacturing and evaluation method also provides new possibilities for the application of acoustic holograms in other fields, such as high-capacity acoustic volume display and dynamic particle manipulation.
[0110] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto, and various changes can be made within the knowledge scope of technicians in the relevant technical field without departing from the purpose of the present invention.
Claims
1. A phase holographic imaging device based on acoustic metamaterials, characterized in that: comprising an acoustic wave generator, a LAM metasurface, and at least one control unit; Wherein, the sound wave generator is used to generate plane sound waves; The LAM metasurface is used to receive sound waves and modulate their phase and amplitude. The LAM metasurface is composed of multiple independent cells, and the cells are distributed in a rectangular array. The control unit is used to control the structure and geometry of the cells inside the LAM metasurface, so that under the irradiation of frontal sound, the sound waves reach the decoupling point in the internal structure space of the LAM metasurface, and realize the decoupling modulation of the phase and amplitude of the surface reflected sound waves by the cells; the control unit also includes a processor, which is used to calculate the sound pressure projected to the phase position of the holographic surface according to the input image, and adjust the size parameters of the cells inside the LAM metasurface through the controller.
2. The phase holographic imaging device based on acoustic metamaterial according to claim 1, characterized in that: Each cell has the same external dimensions but different internal dimensions; the cells are arranged in a fixed structure or an adjustable structure; When the unit cell is a fixed structure, the specific parameters of each unit cell are calculated by the processor, and the LAM metasurface with corresponding size parameters is manufactured by additive manufacturing; When the cell is set as an adjustable structure, the position of the internal structure of the cell is adjusted by the control unit in cooperation with the action structure so that it satisfies the specific parameters of each cell obtained by the processor calculation.
3. The phase holographic imaging device based on acoustic metamaterial according to claim 2, characterized in that: The unit cell of the LAM metasurface consists of three channels, upper, middle, and lower, numbered C1, C2, and C3, respectively, and their heights are h1, h2, and h3, respectively; The width of channels C1 and C3 is d = βD; The filling ratio of the air channel is defined as β = 0.8, D = λ / 4 is the unit cell width, and λ is the wavelength of the sound wave; The speed of sound in air is C0 = 340ms -1 , the sound wave frequency is selected as 1.7kHz, and D=5mm is obtained.
4. The phase holographic imaging device based on acoustic metamaterial according to claim 3, characterized in that: The width of the middle cell is w; the channel wall is acoustically rigid, the total height of the cell is h = h1 + h2 + h3, and h2 is fixed at 5 mm; The unit cell acoustic wave incident channel length h1 and the middle channel width w have a modulating effect on the acoustic wave phase and amplitude. The relationship between h1 and w and the phase and amplitude can be represented by the following formula:
5. The phase holographic imaging device based on acoustic metamaterial according to claim 2, characterized in that: The cell width D has a sub-wavelength nature, and the amplitude A and phase φ of the reflected sound wave are independent of the incident direction.
6. The phase holographic imaging device based on acoustic metamaterial according to claim 2, characterized in that: The incident acoustic wave on the LAM metasurface is at an arbitrary angle; the angle of the reflected wave is always perpendicular to the LAM surface.
7. The phase holographic imaging device based on acoustic metamaterial according to claim 2, characterized in that: The LAM metasurface is manufactured using 3D printing equipment; the accuracy of the 3D printing equipment is 0.2mm.
8. The phase holographic imaging device based on acoustic metamaterial according to claim 7, characterized in that: The fabricated LAM metasurface was three-dimensionally scanned using a confocal microscope with a scanning accuracy of λ / 4 to evaluate the errors in the manufacturing process and the reconstruction quality of the hologram, and to optimize the design to reduce errors in the 3D printing process.
9. The phase holographic imaging device based on acoustic metamaterial according to claim 1, characterized in that: The control unit controls the imaging device to realize acoustic phase holographic imaging according to the following steps: S1, discretizing the hologram to be imaged into a sub-wavelength scale image pixel sequence and placing it at a phase position; S2, using the time reversal method to calculate the amplitude and phase distribution of the LAM metasurface required to reconstruct the hologram; S3, using the horned lizard optimization algorithm to solve the optimal coupling compensation amplitude, so as to optimize the calculation of the compensation amplitude and improve the accuracy of the sound field reconstruction; S4. Use the LAM metasurface to reflect the incident sound wave, encode the phase and compensation amplitude information of the transmitted image after coupling, so as to reconstruct the acoustic hologram matching the pre-designed image and realize phase imaging.
10. A design method for a phase holographic imaging device based on acoustic metamaterials, characterized in that: include: Discretize the acoustic holographic image to be encoded into a sub-wavelength scale pixel sequence; Design the unit cell structure of the LAM metasurface according to the phase and compensation amplitude information of the acoustic holographic image to be encoded; The unit cell in the LAM metasurface includes three channels: upper, middle, and lower, with different heights and widths, ensuring that it has sub-wavelength characteristics; The amplitude and phase information corresponding to the holographic image are encoded on the LAM metasurface to achieve decoupled modulation of the acoustic wave.
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