Remcom is highlighting 5 major use cases of its electromagnetic (EM) simulation technologies at the ongoing IMS 2026, in Boston, Massachusetts. IMS 2026 (IEEE MTT-S International Microwave Symposium) is the world’s premier RF and microwave conference, bringing together thousands of industry professionals from around the globe to explore the latest technologies, tools, and technical developments
At booth 14049, the company is showcasing its core platforms, XFdtd 3D EM Simulation Software, Wireless InSite 3D Wireless Prediction Software, and WaveFarer Radar Simulation Software, which are used in combination to simulate antenna behavior and real-world signal propagation.
Five Use Cases Highlighted by Remcom:
On-body Propagation
Understanding how radio signals behave around the human body is a complex task, especially when the signals interact with nearby objects and continue traveling into the surrounding environment. To address this, two advanced simulation methods are combined: full-wave near-field modeling and ray-tracing far-field modeling.
First, XFdtd 3D EM Simulation Software is used to model what happens very close to the antenna (the near-field region). It accurately captures how the antenna performs and how electromagnetic waves interact with nearby objects such as people, vehicles, and structures, providing highly detailed results.
The output from this near-field simulation is then transferred to Wireless InSite 3D Wireless Prediction Software. This software handles the far-field region, where signals travel over longer distances. It uses ray tracing and also accounts for effects such as refraction through volumetric materials (including parts of the human body or other solid objects). This step further refines the simulation by modeling complex electromagnetic interactions between the signal, the body, and nearby structures.
By combining these two approaches, engineers can create more realistic simulations of real-world conditions. This is particularly important for modern technologies such as 6G, GNSS (GPS systems), WLAN (Wi-Fi), lunar missions, and on-body communication systems used while a person is in motion.
Lunar Astronaut and Surface Communications
Establishing reliable wireless communication on the Moon is a challenging task because signals behave very differently in the lunar environment. To solve this, space agencies such as NASA, ESA, and JAXA rely on advanced, high-accuracy simulation techniques based on ray tracing.
To support NASA’s Artemis mission, Wireless InSite is used to accurately model how radio frequency (RF) signals propagate across the Moon’s surface. The software can import detailed LRO LOLA terrain datasets, which provide precise information about the Moon’s topography. It also allows accurate placement and movement of RF systems by correctly transforming their coordinates onto the lunar surface.
In addition, Wireless InSite includes a lunar materials database, which helps simulate how signals interact with the Moon’s surface materials. This is important because RF signals can reflect and refract differently depending on the terrain and material properties.
Together, these capabilities make it possible to realistically model how signals travel, bounce, and bend across the Moon. This level of accuracy is essential for planning and designing communication networks for lunar missions, ensuring that astronauts and surface systems can stay reliably connected.
Advanced Matching Network Analysis in XFdtd
Designing antenna systems for modern wireless devices is complex, as they must support multiple frequency bands within compact, component-dense layouts. XFdtd (XF) addresses this by providing advanced tools for matching network design and optimization, enabling faster and more accurate results.
A key feature is the schematic editor, which allows engineers to visually create and analyze matching networks and corporate feed networks. It integrates circuit design with full-wave electromagnetic simulations, giving a realistic view of antenna performance. The editor supports both simple configurations (pi or T networks) and complex systems such as multi-port, multi-state, and tunable networks. It also provides detailed outputs including near-field patterns, far-field behavior, and system efficiency. Engineers can fine-tune designs in real time using interactive sliders to adjust component values and instantly see performance changes.
To streamline optimization, XF includes the Circuit Element Optimizer (CEO), which automates the selection of component values. Using Full-Wave Matching Circuit Optimization (FW-MCO), it determines optimal values based on targets like radiation efficiency, system efficiency, and S-parameters. This optimization is performed directly within the electromagnetic model, accounting for real-world effects such as parasitics, antenna coupling, and current paths, and can evaluate performance across multiple operating conditions (e.g., free space vs. handheld use).
Together, these capabilities enable efficient and accurate design of multi-band, multi-antenna systems, reducing manual effort while improving overall performance.
Engineered Electromagnetic Surfaces in Wireless InSite
Wireless InSite enables the simulation of engineered electromagnetic surfaces (EES), which are designed to improve wireless signal propagation. These surfaces are created using printed conductive patterns on materials like plastic or glass, allowing them to control how radio waves behave.
EES can redirect, reflect, and shape RF signals, helping enhance coverage and signal quality, especially at microwave and millimeter-wave frequencies. Wireless InSite models these interactions using advanced propagation techniques, allowing engineers to accurately predict how signals will behave when interacting with such surfaces in real environments.
The software supports both static EES and metasurface-based reconfigurable intelligent surfaces (RIS), enabling detailed analysis of how these technologies can be used to optimize coverage and eliminate weak signal areas.
Human Sensing and Micro-Doppler
Radar technology is increasingly being used for applications such as biomedical health monitoring, presence detection, and safety systems, while also preserving user privacy. To support these applications, accurate channel modeling and Doppler map generation are essential for simulating real-world healthcare scenarios.
Remcom’s WaveFarer Radar Simulation Software provides this capability by enabling accurate 3D multipath simulations in complex environments. It supports advanced techniques such as MIMO (multiple-input multiple-output) and uses AI-based post-processing to efficiently handle large datasets, combining both communication and sensing functions in a single framework.
In addition, Remcom contributes to the Horizon Europe DN-SMARTTEST project, which focuses on improving the effectiveness of 6G-enabled personalized healthcare systems through advanced sensing and communication technologies.
Click here to learn more about Remcom and its simulation technologies.
