Abstract
The purpose of this study was to clarify the silicon-germanium dioxide (SiGeO2) and Aluminum Indium Gallium Arsenide (AlInGaAs) based acoustic optic modulators for upgrading transmission performance characteristics. The transient time response of these modulators is analyzed and discussed in detail. The 3-dB modulation signal bandwidth, diffraction signal efficiency, signal rise time, and signal quality factor with minimum data error rates are also considered. The proposed models with silicon-germanium dioxide and Aluminum Indium Gallium Arsenide acoustic optic modulators were compared to the previous model with silicon acoustic optic modulators. The results confirmed the high-performance efficiency of the proposed models when compared to the previous model, in both the lowest transient time response and the highest acoustic optic modulators speed response.
1 Introduction
Acoustic, optical devices are used in optical systems for light beam control and signal processing applications [1, 2, 3, 4]. Acoustic optics has developed into a mature technology and is deployed in a wide range of optical system applications [5, 6, 7, 8, 9]. They are used in optical information processing, tunable optical filters, deflectors, broadband delay lines, mode-lockers, acoustic optic sensors, and laser radiation modulators [10, 11, 12, 13]. An acousto-optic modulator (AOM), also called a Bragg cell, uses sound waves to diffract the frequency of light. As with a permanent Bragg grating, the various wavelengths are spatially diffracted and separated from each other. When ultrasonic waves propagate on optical fibers, it causes periodic micro-bending of the optical fibers and a change in the refraction index of the fiber core. This bending is called the elastic-optic or acousto-optic effect. Although this basic theory of acousto-optic diffraction in isotropic media was well understood, there were relatively few practical applications before the invention of the laser [14, 15, 16, 17, 18]. It was the need for optical devices for laser beam control that stimulated extensive research on the theory and practice of acoustooptics. Over the years, the acousto-optic effect has been exploited for the development of dynamic and reconfigurable all-fiber devices. The use of flexural, longitudinal, or torsional elastic modes led to the development of tunable filters, frequency shifters, and switches [19]. Recently, the acousto-optic effect has also been used as a technique for the fine characterization of optical fibers [20, 21, 22], and the generation of cylindrical vector beams [23, 24]. In recent years, the development of superior acousto-optic materials and efficient broadband transducers are the primary contributors to significant progress in acousto-optic (AO) devices [25, 26].
Modulating an incoming laser light can be achieved with an AOM by varying the amplitude and frequency of acoustic waves traveling through the crystal [27]. Many characteristics, such as laser beam deflection, intensity modulation, phase modulation, and frequency shifting, can all be achieved using the AOM [27]. To describe this acousto-optic effect in crystals, a plane wave analysis can be used to determine the frequency and angular characteristics of the acousto-optic interaction [28, 29, 30, 31]. In this approach, the acoustic wave is approximated as a single plane wave typically propagating to the transducer [17, 18, 32, 33, 34, 35]. The frequency or angular dependence is obtained fromthe phase mismatch caused by the change of acoustic frequency or incident optical wave direction [36, 37, 38, 39, 40, 41, 42, 43].
2 Acoustic Optic Modulators Description with Equations Analysis
Figure 1 shows a basic schematic view of the acoustic optic modulators. The incident optical beam is assumed to be a plane wave propagating near the z-axis in the xz plane (referred to as the interaction plane).

View of the acoustic optic modulators.
To accommodate the finite size of the transducer, the acoustic beam is modeled as an angular spectrum of plane waves propagating near the x-axis. The AO diffraction only occurs in the interaction plane where the phase-matching condition is satisfied. The intensity and distribution of the diffracted light are proportional to the acoustic power spectra. The angle of diffraction is a function of the acoustic frequency, and acoustic velocity of the optical device is [14, 17, 18]:
θ is the incident beam laser and the diffracted laser beam. The diffraction efficiency is [14, 17, 28, 37, 38]:
Where Pa is the acousto power, M2 is the figure of merit for the acoustic optic material, W is the modulator width, H is the modulator length or height. The light beam waist diameter is expressed by [5, 14, 17, 29, 39]:
Where F is the length of the focal lens, D is the beam diameter of the laser, and (τr) is the acoustic optic modulator rise time [5, 14, 17, 40]:
The 3-dB frequency bandwidth is a function of the acoustic optic modulator rise time [5, 6, 14, 17, 30, 31, 41]:
The signal modulation frequency of the acoustic optic modulators can be utilized as [5, 6, 14, 17, 32, 42]:
Where α is the signal loss through the acoustic optic modulators. The modulator transfer function of the acoustic optic modulators can be modeled as the following [5, 6, 17, 33, 43]:
Where the SiGeO2 acoustic optic modulator’s acoustic velocity value is 4.2×106 mm/sec, its loss value is 0.063 dB/GHz.mm, and its figure of merit value is 34.5×10−15 m2/W. While the AlInGaAs acoustic optic modulators velocity value is 6.32×106 mm/sec, its loss value is 0.038 dB/GHz.mm, and its figure of merit value is 44.8×10−15 m2/W. The contrast ratio is a function of both the transfer function and signal modulation frequency and is shown as [6, 14, 17, 34, 35]:
Where the materials-based acoustic optic modulators can be expressed as the refractive index [6, 14, 17, 35]:
Where the constants for the proposed SiGeO2 and AlIn-GaAs AOMs are clarified based on Refs. [6, 7, 14, 17]. Where B1 = 0.6542, B2 = 6.654 (T/T0), B3 = 7.8765 for SiGeO2AOM, B1 = 1.6543,B2 = 0.2136 (T/T0), and B3 = 3.6532 for AlInGaAs AOM [6, 7, 14, 17]. The acoustic optic modulator Q-factor and its bit error rates are expressed as [5, 6, 14, 17]:
The higher the modulation speed, the smaller the transit time that can be achieved. So, the transient AOM time and the modulation speed are expressed as [14, 17, 36, 43]:
3 Simulation Results and Discussions
The selection of AO materials depends on the specific device application. AlInGaAs is perhaps the best choice for making wideband AO modulators. High optical transparency over the wavelength range of interest is achievable in large single crystals properties that are specifically required for AO device applications. The transient time, modulator Q-factor, modulation contrast ratio, 3-dB frequency bandwidth, modulation frequency, and modulator performance are dependent on the variables defined in Table 1.
Variables for the acoustic optic modulators
Variables | Variable Definition | Values/units |
---|---|---|
T = T0 | Ambient temperature | 300 K-450 K |
𝛬 | Laser wavelength | 1550 nm |
fa | Acoustic frequency | 5 KHz |
F | Modulator focal length | 10 mm |
D | diameter of laser beam | 0.1 mm-0.5 mm |
Pa | Acoustic power | 100 mW |
H | Height of modulator | H = 10 mm |
L | Length of interaction | 0.35 mm |
W | Width of the modulator | 8 mm |
Figure 2 illustrates the variations in modulator rise time related to laser beam diameter for both previous and proposed AOMs at room temperature. The modulator rise time for AlInGaAs AOM is 12 ns with a 0.1 mm beam diameter, 9 ns with a 0.3 mm beam diameter, and 6 ns with a 0.5 mm beam diameter. The modulator rise time for SiGeO2 AOM is 15 ns with a 0.1 mm beam diameter, 10.5 ns with a 0.3 mm diameter beam, and 6.565 ns with a 0.5 mm diameter beam. For the previous silicon AOM, the modulator rise time is 20 ns with a 0.1mmbeam diameter, 14 ns with a 0.3 mm beam diameter, and 8 ns with a 0.5 mm beam diameter.

Variations in modulator rise time in relation to laser beam diameter for the previous and the proposed AOMs at room temperature
Figure 3 shows the variations in modulator frequency response related to beam diameter for both the previous and proposed AOMs at room temperature. The modulator frequency response for AlInGaAs AOM is 3 GHz with a 0.1 mm beam diameter, 9.81 GHz with a 0.3 mm beam diameter, and 36 GHz with a 0.5 mm beam diameter. The modulator frequency response for SiGeO2 AOM is 2 GHz with a beam diameter of 0.1 mm, 8 GHz with a 0.3 mm beam diameter, and 32 GHz with a 0.5 mm beam diameter. The modulator frequency response for the previous silicon AOM is 1.5 GHz with a 0.1 mm beam diameter, 6 GHz with a 0.3 mm beam diameter, and 24 GHz with a 0.5 mm beam diameter.

Variations in modulator frequency response in relation to laser beam diameter for the previous and the proposed AOMs at room temperature
Figure 4 shows the variations in modulation frequency in relation to the laser beam diameter for both the previous and proposed AOMs at room temperature. The modulation frequency for AlInGaAs AOM is 6 GHz with a 0.1 mm beam diameter, 24 GHz with a 0.3 mm beam diameter, and 96 GHz with a 0.5 mm beam diameter. The modulation frequency for SiGeO2 AOM is 5 GHz with a 0.1 mm beam diameter, 20 GHz with a 0.3 mm beam diameter, and 80 GHz with a 0.5 mm beam diameter. The modulation frequency for the previous silicon AOM is 4 GHz with a 0.1 mm beam diameter, 16 GHz with a 0.3 mm beam diameter, and 64 GHz with a 0.5 mm beam diameter.

Variations in modulation frequency in relation to laser beam diameter for the previous and proposed AOMs at room temperature
Figure 5 shows the variations in modulator speed response in relation to the laser beam diameter for both the previous and proposed AOMs at room temperature. The modulator speed response for AlInGaAs AOM is 6.5 GHz with a 0.1 mm beam diameter, 25 GHz with a 0.3 mm beam diameter, and 97 GHz with a 0.5 mm beam diameter. The modulator speed response for SiGeO2 AOM is 5.5 GHz with a 0.1 mm beam diameter, 21 GHz with a 0.3 mm beam diameter, and 82 GHz with a 0.5 mm beam diameter. The modulator speed response for the previous silicon AOM is 4.5 GHz with a 0.1 mm beam diameter, 18 GHz with a 0.3 mm beam diameter, and 66 GHz with a 0.5 mm beam diameter.

Variations in modulator speed response in relation to laser beam diameter for the previous and proposed AOMs at room temperature
Figure 6 shows the variations in modulator transient time response in relation to the laser beam diameter for the previous and proposed AOMs at room temperature. The modulator transient time response for AlInGaAs AOM is 320 ns with a 0.1 mm beam diameter, 200 ns with a 0.3 mm beam diameter, and 75 ns with a 0.5 mm beam diameter. The modulator transient time response for SiGeO2 AOM is 350 ns with a 0.1 mm beam diameter, 250 ns with a 0.3 mm beam diameter, and 120 ns with a 0.5 mm beam diameter. The modulator transient time response for the previous silicon AOM is 480 ns with a 0.1 mm beam diameter, 400 ns with 0.3 mm beam diameter, and 275 ns with a 0.5 mm beam diameter.

Variations in modulator transient time response in relation to laser beam diameter for the previous and proposed AOMs at room temperature
Figure 7 shows the variations in the modulation contrast ratio in relation to the laser beam diameter for the previous and proposed AOMs at room temperature. The modulation contrast ratio for AlInGaAs AOM is 0.3 dB with a 0.1 mm beam diameter, 1.2 dB with a 0.3 mm beam diameter, and 4.8 dB with a 0.5 mm beam diameter. The modulation contrast ratio for SiGeO2 AOM is 0.2 dB with a 0.1 mm beam diameter, 0.8 dB with a 0.3 mm beam diameter, and 3.2 dB with a 0.5 mm beam diameter. The modulation contrast ratio for the previous silicon AOM is 0.1 dB with a 0.1 mm beam diameter, 0.4 dB with a 0.3 mm beam diameter, and 1.6 dB with a 0.5 mm beam diameter.

Variations in modulation contrast ratio in relation to laser beam diameter for the previous and proposed AOMs at room temperature
Figure 8 illustrates the variation in the signal Q Factor in relation to ambient temperature for the previous and proposed AOMs. The Q Factor for AlInGaAs AOM is 15 at room temperature, 8.5 at 375 K, and 3.65 at 450 K. The Q Factor for SiGeO2 AOM is 12 at room temperature, 8 at 375 K, and 3 at 450 K. The Q Factor for the previous silicon AOM is 10 at room temperature, 7 at 375 K, and 2 at 450 K.

Variations in Q Factor in relation to ambient temperature for the previous and proposed AOMs
4 Conclusion
We have studied the different AlInGaAs and SiGeO2 acousto optic modulators for upgrading fiber optic communication systems. AlInGaAs AOM presented the highest Q factor, modulation contrast ratio, modulation speed response, and the lowest transient time speed response in comparison to the previous silicon AOM. Modulation frequency, frequency response, and rise time were also evaluated. All of the positive results focused on the proposed AOMs under the same ambient temperature and diameter of laser beam variations. Therefore, AlInGaAs is the best choice for upgrading wideband AO modulators in fiber optic communications.
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- Numerical Simulation of Laser Welding Dissimilar Low Carbon and Austenitic Steel Joint
- Assessment of Mechanical and Tribological Properties of Diamond-Like Carbon Coatings on the Ti13Nb13Zr Alloy
- Characteristics of selected measures of stress triaxiality near the crack tip for 145Cr6 steel - 3D issues for stationary cracks
- Assessment of technical risk in maintenance and improvement of a manufacturing process
- Experimental studies on the possibility of using a pulsed laser for spot welding of thin metallic foils
- Angular position control system of pneumatic artificial muscles
- The properties of lubricated friction pairs with diamond-like carbon coatings
- Effect of laser beam trajectory on pocket geometry in laser micromachining
- Special Issue: Annual Engineering and Vocational Education Conference
- The Employability Skills Needed To Face the Demands of Work in the Future: Systematic Literature Reviews
- Enhancing Higher-Order Thinking Skills in Vocational Education through Scaffolding-Problem Based Learning
- Technology-Integrated Project-Based Learning for Pre-Service Teacher Education: A Systematic Literature Review
- A Study on Water Absorption and Mechanical Properties in Epoxy-Bamboo Laminate Composite with Varying Immersion Temperatures
- Enhancing Students’ Ability in Learning Process of Programming Language using Adaptive Learning Systems: A Literature Review
- Topical Issue on Mathematical Modelling in Applied Sciences, III
- An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network
- Hands-on Learning In STEM: Revisiting Educational Robotics as a Learning Style Precursor
Articles in the same Issue
- Regular Articles
- Fabrication of aluminium covetic casts under different voltages and amperages of direct current
- Inhibition effect of the synergistic properties of 4-methyl-norvalin and 2-methoxy-4-formylphenol on the electrochemical deterioration of P4 low carbon mold steel
- Logistic regression in modeling and assessment of transport services
- Design and development of ultra-light front and rear axle of experimental vehicle
- Enhancement of cured cement using environmental waste: particleboards incorporating nano slag
- Evaluating ERP System Merging Success In Chemical Companies: System Quality, Information Quality, And Service Quality
- Accuracy of boundary layer treatments at different Reynolds scales
- Evaluation of stabiliser material using a waste additive mixture
- Optimisation of stress distribution in a highly loaded radial-axial gas microturbine using FEM
- Analysis of modern approaches for the prediction of electric energy consumption
- Surface Hardening of Aluminium Alloy with Addition of Zinc Particles by Friction Stir Processing
- Development and refinement of the Variational Method based on Polynomial Solutions of Schrödinger Equation
- Comparison of two methods for determining Q95 reference flow in the mouth of the surface catchment basin of the Meia Ponte river, state of Goiás, Brazil
- Applying Intelligent Portfolio Management to the Evaluation of Stalled Construction Projects
- Disjoint Sum of Products by Orthogonalizing Difference-Building ⴱ
- The Development of Information System with Strategic Planning for Integrated System in the Indonesian Pharmaceutical Company
- Simulation for Design and Material Selection of a Deep Placement Fertilizer Applicator for Soybean Cultivation
- Modeling transportation routes of the pick-up system using location problem: a case study
- Pinless friction stir spot welding of aluminium alloy with copper interlayer
- Roof Geometry in Building Design
- Review Articles
- Silicon-Germanium Dioxide and Aluminum Indium Gallium Arsenide-Based Acoustic Optic Modulators
- RZ Line Coding Scheme With Direct Laser Modulation for Upgrading Optical Transmission Systems
- LOGI Conference 2019
- Autonomous vans - the planning process of transport tasks
- Drivers ’reaction time research in the conditions in the real traffic
- Design and evaluation of a new intersection model to minimize congestions using VISSIM software
- Mathematical approaches for improving the efficiency of railway transport
- An experimental analysis of the driver’s attention during train driving
- Risks associated with Logistics 4.0 and their minimization using Blockchain
- Service quality of the urban public transport companies and sustainable city logistics
- Charging electric cars as a way to increase the use of energy produced from RES
- The impact of the truck loads on the braking efficiency assessment
- Application of virtual and augmented reality in automotive
- Dispatching policy evaluation for transport of ready mixed concrete
- Use of mathematical models and computer software for analysis of traffic noise
- New developments on EDR (Event Data Recorder) for automated vehicles
- General Application of Multiple Criteria Decision Making Methods for Finding the Optimal Solution in City Logistics
- The influence of the cargo weight and its position on the braking characteristics of light commercial vehicles
- Modeling the Delivery Routes Carried out by Automated Guided Vehicles when Using the Specific Mathematical Optimization Method
- Modelling of the system “driver - automation - autonomous vehicle - road”
- Limitations of the effectiveness of Weigh in Motion systems
- Long-term urban traffic monitoring based on wireless multi-sensor network
- The issue of addressing the lack of parking spaces for road freight transport in cities - a case study
- Simulation of the Use of the Material Handling Equipment in the Operation Process
- The use of simulation modelling for determining the capacity of railway lines in the Czech conditions
- Proposals for Using the NFC Technology in Regional Passenger Transport in the Slovak Republic
- Optimisation of Transport Capacity of a Railway Siding Through Construction-Reconstruction Measures
- Proposal of Methodology to Calculate Necessary Number of Autonomous Trucks for Trolleys and Efficiency Evaluation
- Special Issue: Automation in Finland
- 5G Based Machine Remote Operation Development Utilizing Digital Twin
- On-line moisture content estimation of saw dust via machine vision
- Data analysis of a paste thickener
- Programming and control for skill-based robots
- Using Digital Twin Technology in Engineering Education – Course Concept to Explore Benefits and Barriers
- Intelligent methods for root cause analysis behind the center line deviation of the steel strip
- Engaging Building Automation Data Visualisation Using Building Information Modelling and Progressive Web Application
- Real-time measurement system for determining metal concentrations in water-intensive processes
- A tool for finding inclusion clusters in steel SEM specimens
- An overview of current safety requirements for autonomous machines – review of standards
- Expertise and Uncertainty Processing with Nonlinear Scaling and Fuzzy Systems for Automation
- Towards online adaptation of digital twins
- Special Issue: ICE-SEAM 2019
- Fatigue Strength Analysis of S34MnV Steel by Accelerated Staircase Test
- The Effect of Discharge Current and Pulse-On Time on Biocompatible Zr-based BMG Sinking-EDM
- Dynamic characteristic of partially debonded sandwich of ferry ro-ro’s car deck: a numerical modeling
- Vibration-based damage identification for ship sandwich plate using finite element method
- Investigation of post-weld heat treatment (T6) and welding orientation on the strength of TIG-welded AL6061
- The effect of nozzle hole diameter of 3D printing on porosity and tensile strength parts using polylactic acid material
- Investigation of Meshing Strategy on Mechanical Behaviour of Hip Stem Implant Design Using FEA
- The effect of multi-stage modification on the performance of Savonius water turbines under the horizontal axis condition
- Special Issue: Recent Advances in Civil Engineering
- The effects of various parameters on the strengths of adhesives layer in a lightweight floor system
- Analysis of reliability of compressed masonry structures
- Estimation of Sport Facilities by Means of Technical-Economic Indicator
- Integral bridge and culvert design, Designer’s experience
- A FEM analysis of the settlement of a tall building situated on loess subsoil
- Behaviour of steel sheeting connections with self-drilling screws under variable loading
- Resistance of plug & play N type RHS truss connections
- Comparison of strength and stiffness parameters of purlins with different cross-sections of profiles
- Bearing capacity of floating geosynthetic encased columns (GEC) determined on the basis of CPTU penetration tests
- The effect of the stress distribution of anchorage and stress in the textured layer on the durability of new anchorages
- Analysis of tender procedure phases parameters for railroad construction works
- Special Issue: Terotechnology 2019
- The Use of Statistical Functions for the Selection of Laser Texturing Parameters
- Properties of Laser Additive Deposited Metallic Powder of Inconel 625
- Numerical Simulation of Laser Welding Dissimilar Low Carbon and Austenitic Steel Joint
- Assessment of Mechanical and Tribological Properties of Diamond-Like Carbon Coatings on the Ti13Nb13Zr Alloy
- Characteristics of selected measures of stress triaxiality near the crack tip for 145Cr6 steel - 3D issues for stationary cracks
- Assessment of technical risk in maintenance and improvement of a manufacturing process
- Experimental studies on the possibility of using a pulsed laser for spot welding of thin metallic foils
- Angular position control system of pneumatic artificial muscles
- The properties of lubricated friction pairs with diamond-like carbon coatings
- Effect of laser beam trajectory on pocket geometry in laser micromachining
- Special Issue: Annual Engineering and Vocational Education Conference
- The Employability Skills Needed To Face the Demands of Work in the Future: Systematic Literature Reviews
- Enhancing Higher-Order Thinking Skills in Vocational Education through Scaffolding-Problem Based Learning
- Technology-Integrated Project-Based Learning for Pre-Service Teacher Education: A Systematic Literature Review
- A Study on Water Absorption and Mechanical Properties in Epoxy-Bamboo Laminate Composite with Varying Immersion Temperatures
- Enhancing Students’ Ability in Learning Process of Programming Language using Adaptive Learning Systems: A Literature Review
- Topical Issue on Mathematical Modelling in Applied Sciences, III
- An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network
- Hands-on Learning In STEM: Revisiting Educational Robotics as a Learning Style Precursor