Modeling
Physical and statistical channel models tailored to your environment, hardware and mission profile.
Overview
We build channel and propagation models grounded in the underlying physics of your environment — atmosphere, underwater, or free space.
Models are tailored to your scenario and validated against measurements or literature so they can be trusted for design and analysis.
What we deliver
- Custom channel models
- Documentation & validation
- Integration support
- Parameter studies
Available models & tools
Optical Wireless Communication System Modeling
Our FSO Communication Modeling Tool simulates high-speed wireless optical data transmission through atmospheric channels. Designed for engineers and researchers, it models critical parameters such as turbulence, attenuation, and alignment.
Optical Wave Propagation Modeling
This modeling tool simulates the physical propagation of optical beams through both atmospheric and underwater media. It accounts for environmental factors such as turbulence, absorption, scattering, and refractive index variations to evaluate beam deformation, divergence, and energy decay. Designed for researchers, system designers, and engineers working on long-range optical wireless or quantum links in challenging environments.
Mitigation Techniques Modeling
This modeling tool simulates the performance of adaptive optics (AO) systems in correcting wavefront distortions caused by atmospheric or underwater turbulence. It allows users to configure deformable mirrors, wavefront sensors, and control algorithms to observe how adaptive optics improves beam quality and signal stability in real-time. This tool is essential for developers of high-performance optical systems requiring precision beam delivery in dynamic, turbulence-prone environments.
Quantum Communication System Modeling
This modeling tool simulates Quantum Key Distribution (QKD) systems, which enable secure communication based on quantum mechanics. It includes a comprehensive analysis of the physical layer, such as photon transmission, noise sources, and detection techniques, while also simulating practical effects like channel loss, noise, and eavesdropping strategies. The tool provides insights into key QKD protocols, such as BB84, and enables users to model and optimize system parameters to maximize security and key rate. Perfect for researchers, network engineers, and security specialists working on quantum-secure communication systems.
Other Communication and Imaging Systems Modeling
This tool leverages the power of Artificial Intelligence (AI) and Machine Learning (ML) to model and optimize communication systems, enhancing their efficiency and performance. By utilizing AI algorithms, the tool can simulate various communication protocols, optimize resource allocation, and predict system behavior under different operating conditions. It is particularly useful for advanced systems such as 5G, IoT, wireless networks, and optical communication systems, where traditional methods may fall short. This tool is designed to improve signal processing, network management, and error prediction using AI-driven approaches. Ideal for researchers, engineers, and network designers looking to explore AI-based optimization techniques for communication systems and networks.
Optical Wireless Communication System Modeling
Our UOWC Modeling Tool simulates high-speed optical links in underwater environments, accounting for the challenges of attenuation, scattering, and environmental variables in both clear and turbid waters.
Optical Wave Propagation Modeling
This modeling tool calculates the effects of scattering and absorption on optical signal propagation through various media such as air, water, fog, haze, and turbid underwater environments. It enables accurate estimation of power loss, spectral attenuation, and received signal quality over distance, essential for both classical and quantum optical communication system design. Perfect for professionals developing reliable optical links in complex environments.
Mitigation Techniques Modeling
This modeling tool simulates the effect of aperture averaging in optical wireless communication systems, where signal fluctuations caused by turbulence or scattering are reduced by increasing the receiver aperture size. It enables users to quantify the reduction in signal variance (scintillation) and evaluate trade-offs between aperture size and system complexity or cost. Ideal for system designers working on robust FSO and UOWC links under varying turbulence conditions.
Quantum Communication System Modeling
This tool models and evaluates Quantum Bit Error Rate (QBER) for quantum communication systems. QBER is a crucial metric for assessing the performance and security of QKD systems, as it quantifies the error rate introduced by noise, eavesdropping, and imperfections in the quantum channel. The tool allows users to simulate QBER under various conditions, including different noise models, environmental factors, and system parameters, offering insights into the effectiveness of error correction and privacy amplification techniques. Perfect for researchers, quantum cryptographers, and system designers working to optimize quantum communication systems and enhance their reliability and security.
Other Communication and Imaging Systems Modeling
This tool simulates and analyzes Satellite Communication Systems and Inter-Satellite Links (ISLs), essential for modern communication infrastructure. It models both geostationary and low Earth orbit (LEO) satellite systems, focusing on link budgets, signal propagation, interference, and the effects of atmospheric conditions. The tool also simulates ISLs, which are critical for satellite constellations, enabling high-throughput data transmission between satellites, enhancing global coverage and communication efficiency. Ideal for satellite engineers, researchers, and network designers working on next-generation communication networks.
Optical Wireless Communication System Modeling
This tool models optical signal degradation due to atmospheric turbulence using advanced statistical and physical models. Ideal for satellite-air-ground and terrestrial optical systems.
Optical Wave Propagation Modeling
This tool simulates wavefront distortions due to atmospheric or underwater turbulence using phase screen modeling techniques. It generates synthetic phase distortions based on turbulence statistics (e.g., Kolmogorov spectrum) and applies them to optical beams to analyze wavefront degradation, beam wander, and scintillation. Designed for engineers and researchers developing adaptive optics, optical communication systems, and precision sensing platforms.
Mitigation Techniques Modeling
This tool models the use of Reconfigurable Intelligent Surfaces (RIS) to mitigate turbulence, scattering, and signal degradation in optical wireless communication environments. It simulates passive or hybrid (active/passive) RIS deployments that dynamically adjust reflection phase profiles to steer beams, enhance signal power, and reduce fading in challenging atmospheric or underwater channels. The tool provides insights into how RIS can be leveraged for link reliability, beamforming, and energy efficiency.
Quantum Communication System Modeling
This tool models and evaluates the Secure Key Rate (SKR) in Quantum Key Distribution (QKD) systems, a critical metric for assessing the efficiency of secure key generation in quantum communication systems. SKR is influenced by factors such as channel losses, noise, error rates, and the performance of error correction and privacy amplification techniques. The tool allows users to simulate and optimize SKR under varying conditions, helping to design more efficient and robust quantum communication networks. Ideal for researchers and engineers working to optimize QKD systems for high-performance secure key exchange in both fiber-optic and free-space quantum communication environments.
Other Communication and Imaging Systems Modeling
This tool simulates and analyzes Underwater Lidar (Light Detection and Ranging) and Imaging Systems, which are vital for high-precision measurements and environmental monitoring in underwater environments. By modeling light propagation in underwater media, the tool accounts for scattering, absorption, and turbulence, providing insights into the performance of Lidar and imaging systems. This tool is ideal for researchers, marine engineers, and environmental scientists working with underwater robotics, autonomous vehicles, and marine survey applications, where precise imaging and distance measurement are crucial.
Optical Wireless Communication System Modeling
Our Underwater Turbulence Model focuses on modeling micro-scale turbulence due to thermal and salinity gradients in the ocean, enabling precise estimation of performance in underwater optical communication systems.
Optical Wave Propagation Modeling
This modeling tool simulates how Gaussian and vortex optical beams behave in the presence of turbulence — both in atmospheric and underwater environments. It provides deep insight into phase distortion, intensity variation, and orbital angular momentum (OAM) degradation due to random refractive index fluctuations. Ideal for engineers, physicists, and system designers working on advanced optical wireless systems, QKD, or structured light communication.
Mitigation Techniques Modeling
This tool models spatial diversity techniques and multiple-aperture receiver/transmitter configurations for improving reliability and performance of optical wireless communication (OWC) systems in turbulent and scattering environments. It enables simulation of independent and correlated fading channels, evaluates combining strategies (e.g., MRC, EGC, SC), and quantifies performance enhancements achieved through spatial redundancy. A vital tool for researchers and engineers designing robust FSO and UOWC links in variable environments.
Quantum Communication System Modeling
This tool simulates and analyzes Quantum Entanglement in quantum communication systems, a fundamental phenomenon enabling secure quantum communication and advanced quantum protocols. The tool models the generation, manipulation, and detection of entangled quantum states, and explores how entanglement can be utilized in Quantum Key Distribution (QKD), quantum teleportation, and quantum secure communication. It also evaluates the effects of noise, environmental factors, and imperfections on entanglement fidelity. Ideal for researchers, quantum cryptographers, and engineers working on advanced quantum communication protocols and quantum computing systems that rely on entanglement.
Mitigation Techniques Modeling
This tool simulates hybrid RF/FSO (Radio Frequency / Free-Space Optics) communication systems, which combine the benefits of both RF and FSO links to provide seamless and robust communication under varying environmental conditions. It models dynamic switching between RF and FSO links, based on channel quality and availability, optimizing system performance and minimizing outages in both terrestrial and mobile networks. Ideal for designing future-proof communication systems that maintain high availability, especially in challenging environments such as urban canyons or rural areas with frequent weather disruptions.