Maker Mirko Pavleski builds Arduino-based device that measures ambient RF energy across the shortwave band, helping radio enthusiasts understand propagation conditions.
Shortwave radio enthusiasts often face frustrating situations when trying to tune into global broadcasts only to encounter fuzzy signals. The culprit might not be their equipment but rather the conditions in the ionosphere, a layer of ionized gas high in Earth's atmosphere that affects how radio waves travel. To address this issue, North Macedonian maker Mirko Pavleski has developed a DIY RF monitoring device that provides a rough proxy for ionospheric propagation conditions.
The project, detailed in a YouTube video and project writeup on Hackster, uses ambient RF energy measurements across the shortwave band (approximately 1 to 30 MHz) to indicate signal propagation quality. When the ionosphere is thick and dense, it refracts more shortwave signals back to Earth, resulting in stronger, clearer reception. A weaker ionosphere allows more signals to escape into space, making broadcasts harder to receive.
"Knowing the level of ambient RF energy across the shortwave band can be useful information when you're a shortwave listener," explains Pavleski. "That's exactly what my device displays."
The technical build centers around an Arduino Nano R3 microcontroller, a small OLED display, and the crucial CA3089 chip, which translates raw RF signals into data the Arduino can process and display. The CA3089 is the most challenging component of the project, requiring builders to follow Pavleski's circuit diagram to properly wire the necessary passive components.

The CA3089 outputs logarithmic voltage data corresponding to received signal strength. "I map the entire input from 0 to 1023, which means that the values on the display from 0 to 1024 correspond to a voltage from 0 to 5V," Pavleski explains in his project documentation. The included Arduino code can be modified to display different values if desired.
Interestingly, builders have flexibility in implementation options. "You could even cut out the Arduino and attach an analog multimeter instead," Pavleski suggests. Regardless of the display method, the device requires some calibration to understand what specific readings mean in practical terms.
"After a few days of comparing the value of the instrument with the real received signal on the radio, we will know for sure when the propagation of the RF signals is bad, good or excellent, and that at the same moment when we look at the instrument," Pavleski notes.
While designed primarily for shortwave radio enthusiasts, the device has potential applications beyond amateur radio. Researchers might use it to record ionospheric activity for space-related studies, meteorologists could correlate RF radiation with local weather patterns, or data enthusiasts might find it valuable for collecting unique environmental measurements.
The project represents a practical solution to a common problem in the shortwave radio community, providing an accessible way to monitor the invisible forces that affect global radio communications. For those interested in building their own, the complete project details, including schematics and code, are available on Hackster.
As shortwave radio continues to serve as a vital communication method in various parts of the world, tools like this DIY RF monitor help enthusiasts optimize their listening experience by understanding the atmospheric conditions affecting their reception.

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