Open-source, low-cost 10.5 GHz PLFM phased array RADAR system
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Open-source, low-cost 10.5 GHz PLFM phased array RADAR system

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Project Description

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A 10.5 GHz Phased Array Radar You Can Actually Build

If you've ever wanted to tinker with radar technology, you've probably run into a wall. Professional systems are wildly expensive and closed-source, while hobbyist kits often feel like toys. That's why this open-source, low-cost 10.5 GHz PLFM Phased Array Radar project is so compelling. It bridges the gap, offering serious hardware and accessible software for developers and hardware enthusiasts.

This isn't just a theoretical design. It's a documented, functional system that you can actually build and modify, opening up a world of experimentation with phased array beamforming and signal processing.

What It Does

This project is a complete implementation of a Pulsed Linear Frequency Modulated (PLFM) phased array radar system. In simpler terms, it transmits a specific type of radar pulse and uses an array of antennas to electronically steer the beam without moving parts. The system operates at 10.5 GHz (in the X-band), which is a frequency used in many professional applications like marine radar and motion detection.

The repository contains the full hardware design (schematics, PCB layouts, BOM), firmware for the STM32 microcontroller, and software for processing the radar data on a host computer. It's an end-to-end stack for radar sensing.

Why It's Cool

The cleverness here is in the accessible implementation. Phased array systems are complex, but this project breaks it down with a practical, buildable design.

  • True Phased Array: It uses four transmit and four receive channels. By controlling the phase of the signal to each antenna, it can electronically steer the radar beam, which is a significant step up from single-antenna hobbyist radars.
  • Professional-Grade Frequency: Operating at 10.5 GHz provides much better resolution and performance than lower-frequency hobbyist systems, allowing for more interesting experiments in object detection and ranging.
  • Full-Stack Open Source: You get everything—from the PCB Gerber files to the signal processing Python scripts. This transparency lets you understand, modify, and improve every layer of the system. It's a fantastic educational resource for radar fundamentals.
  • Cost-Effective: By providing the design, it dramatically lowers the barrier to entry. You can source the components and assemble it yourself for a fraction of the cost of a commercial unit.

How to Try It

This is a hands-on hardware project, so trying it means building it. The GitHub repo is your starting point.

  1. Head to the Repository: All documentation is on GitHub.
  2. Review the Documentation: Start with the README.md. Carefully go through the hardware design files in the /Hardware directory, the firmware in /Firmware, and the host software in /Software.
  3. Source and Assemble: Use the Bill of Materials (BOM) to order the required components and PCB. You'll need some solid soldering skills (especially for surface-mount components) and experience with embedded systems (STM32 programming).
  4. Flash and Run: Load the firmware onto the microcontroller, connect the radar to your computer, and run the provided Python scripts to start seeing data.

Be prepared for a challenging but rewarding build. This isn't a plug-and-play USB device; it's a project for developers who enjoy deep hardware/software integration.

Final Thoughts

This project feels like a gift to the developer and maker community interested in RF sensing. It demystifies a complex technology by providing a real, working blueprint. For developers, it's a unique sandbox. You could use it to experiment with custom signal processing algorithms, integrate radar data into a robotics project, or simply to learn how phased array systems work on a fundamental level. It's a powerful tool for research, prototyping, and serious hardware hacking.

If you've been looking for a way to get real hands-on experience with radar beyond simple ultrasonic sensors, this repository is an incredible resource to dive into.


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Project ID: 5bc0d733-d6a9-49e9-84a4-39202b2d0b8fLast updated: March 16, 2026 at 08:39 AM