From The Editor | March 19, 2025

4 Antenna Calibration Stories Guaranteed To Thrill And Delight You

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By John Oncea, Editor

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Explore four antenna calibration stories from phased-array algorithms to mmWave breakthroughs to OTA testing that are sure to delight you.

Antenna calibration, according to our friends at A.H. Systems, is the process of verifying and measuring an antenna’s performance and properties to ensure repeatable and reliable data, especially crucial for applications like precise positioning and EMI/EMC testing. It is an unsung, system-performance hero, ensuring optimal performance and accuracy in wireless communication systems.

Antenna calibration involves measuring various antenna parameters, such as gain, polarization, and radiation patterns. Calibration often utilizes reference antennas or other standards to compare against the antenna being calibrated. The frequency of calibration depends on the antenna’s usage, the quality system policy of the organization, and the reliability of the antenna. 

A few examples of antenna calibration applications include:

  • Global Navigation Satellite System (GNSS) Positioning: Calibration is crucial for accurate positioning using GPS, GLONASS, and other satellite navigation systems. 
  • EMI/EMC Testing: Calibration ensures that antennas used for electromagnetic compatibility testing provide accurate and repeatable results. 
  • Radio Communication: Calibration helps optimize antenna performance for various radio communication applications. 

Some specific calibration methods include the reference antenna method (RAM) which is suitable for calibrating antennas used for radiated emission measurements in the frequency range of 30 MHz to 1 GHz, the three-antenna method which calculates antenna gain solely from measured data, without the need for a known gain standard, and both absolute calibration (which involves moving the antenna being tested to receive signals from a reference antenna at different angles) and relative calibration (which compares the antenna’s performance to a reference antenna at a specific location). 

In today’s high-frequency world, innovative methods and technologies are revolutionizing the way engineers fine-tune antennas for everything from defense radars to satellite communications. Here, we look at four unique stories guaranteed to thrill and delight you.

Innovations In Phased-Array Antenna Calibration

Phased-array antennas have become indispensable in modern radar, telecommunications, and surveillance systems with their performance hinging on the precise calibration of hundreds or even thousands of individual antenna elements.

This can be a time-consuming task with ample opportunity for error, two problems that could be mitigated by an autocorrelation algorithm.

An MDPI study introduced an algorithm that minimizes both amplitude and phase errors, an innovation that not only streamlines the calibration process but also enhances the overall beamforming accuracy, ensuring that these complex arrays deliver optimal performance under varying conditions.

The study details how the new algorithm can adapt in real time to changes in environmental factors, reducing the need for frequent manual recalibration. This dynamic approach means systems can maintain peak performance even as external conditions shift.

The implications are enormous: improved reliability, lower maintenance costs, and the potential to deploy larger, more sophisticated arrays in applications ranging from airborne radars to next-generation communications systems.

The research also delves into the challenges of scaling calibration techniques for larger arrays and offers solutions that could be implemented in commercial systems. Researchers are particularly excited about the potential for integration with machine learning models that can predict and compensate for calibration drift over time. This is a major step forward in making phased-array systems more robust and easier to manage.

Overcoming Calibration Challenges In Millimeter-Wave Antennas

As the world shifts towards millimeter-wave frequencies – especially with the rapid deployment of 5G networks – engineers face new calibration hurdles. Operating at these higher frequencies means that even minor imperfections can cause significant performance degradation.

An MVG World technical paper highlights advanced measurement techniques that mitigate issues such as signal attenuation and hardware imperfections. The paper explains how novel calibration setups, incorporating high-precision instrumentation and controlled test environments, are being used to address the intrinsic challenges of millimeter-wave technology.

One key aspect is the development of compact, portable calibration rigs that can be deployed in the field, reducing the gap between lab-based testing and real-world application. This innovation is particularly important for ensuring that devices not only perform well in ideal conditions but can also handle the variances of an operational environment.

Engineers are also exploring the use of advanced statistical methods to analyze calibration data more effectively. By applying real-time error correction algorithms, these systems can dynamically adjust to imperfections, ensuring reliable performance over a wide frequency band. The emphasis on robust, adaptable solutions has spurred interest in automated calibration techniques that can seamlessly integrate into existing manufacturing and maintenance workflows.

Iterative Calibration Methods For High-Frequency Surface Wave Radar

Surface wave radars operating at high frequencies face unique challenges, including environmental interference and multipath effects, factors that can distort the antenna pattern and lead to decreased accuracy in target detection and tracking. MDPI writes there are iterative calibration methods that employ holographic techniques and tensor-based mathematical frameworks to correct these distortions.

The iterative approach involves repeated cycles of measurement and adjustment, each iteration refining the antenna’s performance. By leveraging sophisticated algorithms, engineers can now better compensate for distortions caused by factors such as sea clutter and atmospheric variability. The process starts with baseline calibration, followed by successive iterations that gradually minimize errors. The result is a radar system with significantly enhanced accuracy and reliability, capable of performing in even the most challenging operational environments.

These methods are particularly beneficial for applications requiring high precision, such as coastal surveillance and maritime navigation. The iterative calibration process not only improves the radar’s detection capabilities but also extends its operational lifespan by reducing wear and tear caused by environmental stressors. RF engineers are excited by the potential of these techniques to set new standards in surface wave radar performance.

Advances In Over-The-Air Testing Calibration For 5G Technologies

With the global rollout of 5G networks, ensuring the performance of wireless devices via over-the-air (OTA) testing has become paramount, writes Wiley. OTA testing involves evaluating devices in environments that simulate real-world conditions, and accurate antenna calibration is essential for reliable results

Wiley reports new calibration methodologies address the complexities associated with measuring 5G antennas across a wide frequency spectrum. Enhanced calibration techniques now incorporate automated error correction and real-time data processing, enabling more precise assessments of device performance. This progress is particularly important as 5G technology continues to push the limits of frequency, bandwidth, and device miniaturization.

Engineers are leveraging these advancements to refine both the hardware and software components of OTA testing setups. By integrating adaptive calibration protocols, these systems can automatically adjust for environmental variables, ensuring that testing conditions remain consistent. The benefits are clear: improved measurement accuracy, reduced testing time, and higher confidence in the performance data that drives 5G innovation.