Antenna Arrays and Installed Performance


Original equipment manufacturers (OEMs) and operators in the telecom industry are facing significant challenges in ensuring the optimal performance of antenna arrays installed on complex platforms. The intricate nature of these environments necessitates highly accurate models to predict and validate antenna array performance, including phased array antennas. Let’s explore how accurate installation and output from antenna arrays are crucial for manufacturers, and how simulation software can support antenna array performance.

Challenges of Antenna Arrays

Accuracy in Complex Environments: Telecom OEMs and operators require precise models to predict the performance of antenna arrays in complex environments. This need arises because antenna placement can significantly impact overall system performance, whether it’s a phased array antenna or an individual antenna. Making the right decisions early in the design process is crucial.

Impact of Antenna Placement: The placement of antennas on complex platforms, such as aircraft, ships, or urban structures, affects their performance. Detailed trade-off studies, considering factors like array factor and radiation pattern, are essential before finalizing the system architecture to ensure that the chosen placement maximizes efficiency and effectiveness.

Leveraging Simulation Data: During the development process, a vast amount of simulation data is generated. This data can be leveraged downstream to train AI models, enhancing their accuracy and predictive capabilities. Tools like the Antenna Toolbox and others support antenna array topics by providing crucial data for radiation patterns and array designs.

HFSS for Validation and Training: HFSS (High-Frequency Structure Simulator) provides highly accurate validation and training data. This data is crucial for generating AI models and validating their predicted performance, ensuring that the models are reliable and robust. Whether dealing with a phased array antenna or multiple antennas, HFSS plays a pivotal role.


Training Dataset: Simulation data collected during the product development process, using tools like HFSS, forms the foundation of the training dataset. This data ensures that the AI models are trained with high-fidelity information, improving their accuracy and reliability when predicting things like element patterns and radiation efficiency.

Installed Performance: Accurate far-field radiation patterns are predicted for new array topologies over a range of scan angles. Tools like SimAI and HFSS enable precise predictions and validation of antenna performance in various installed configurations, including broadside and main beam directions for phased array antennas.


Innovation: By leveraging existing simulation data, OEMs and operators can evaluate various antenna placement topologies. This approach fosters innovation, allowing designers to explore multiple configurations, such as linear arrays or patch antennas, and select the most effective ones.

Decision Making: High-fidelity predicted performance metrics enable better decision-making. Evaluating system performance metrics based on accurate antenna array predictions ensures that the final design meets the required standards and performs optimally in real-world conditions, whether for satellite communications or wireless communication.

The integration of advanced simulation tools like HFSS and AI-driven solutions such as SimAI offers a comprehensive approach to addressing the challenges of antenna array performance in complex environments. By leveraging high-fidelity simulation data in computational electromagnetics, telecom OEMs and operators can innovate and make informed decisions, ensuring optimal system performance and reliability. For additional support, contact your solution provider.

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