mitgor

mitgor / PLFM_RADAR

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AERIS-10 FMCW X-Band Phased Array Radar — Engineering Documentation, Physics Derivations & Improvement Research

20
6
100% credibility
Found Mar 16, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C
AI Summary

Open-source hardware and software project for building a low-cost 10.5 GHz phased array radar system with electronic beam steering and Python GUI for target detection and tracking.

How It Works

1
🔍 Discover AERIS-10 Radar

You find this open-source project for building your own affordable phased array radar to detect drones or aircraft.

2
🛒 Order Parts and PCBs

Download designs, order printed circuit boards and components like antennas and chips from suppliers.

3
🔧 Assemble Your Radar

Solder the modular boards together, attach the antenna array, and mount in an enclosure.

4
⚡ Power Up and Flash Firmware

Connect power, load the ready-made firmware onto the microcontroller, and watch the system come alive.

5
💻 Connect to Your Computer

Plug into your PC via USB, launch the simple Python app, and see the radar interface with maps.

6
🎯 Scan and Track Targets

Point the radar, hit scan, and watch real-time detections appear on the map with range, speed, and direction.

✅ Your Radar is Ready!

Celebrate as you detect and track objects up to 20km away, perfect for drone testing or research.

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Star Growth

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AI-Generated Review

What is PLFM_RADAR?

PLFM_RADAR delivers complete engineering documentation, physics derivations, and improvement research for the AERIS-10, an open-source FMCW X-band phased array radar. It enables building low-cost systems with electronic beam steering (±45°), pulse compression, and Doppler processing for 3km or 20km ranges, using C firmware on STM32 for power sequencing and peripherals alongside Python simulations and a GUI with map integration. Developers get modular hardware schematics, FPGA signal processing pipelines, and GPS/IMU-corrected targeting to experiment with real-world radar without proprietary black boxes.

Why is it gaining traction?

It stands out by fully open-sourcing a production-grade phased array radar, including detailed derivations for beam patterns and detection probabilities that guide custom improvements. The dual-range design, on-board CFAR/MTI processing, and Python tools for chirp generation and array simulations lower the barrier for FMCW experimentation versus expensive commercial kits. Early adopters hook on the hackable architecture blending C embedded control with research-grade physics validation.

Who should use this?

Radar researchers deriving custom beamforming algorithms, drone engineers integrating X-band sensing for beyond-visual-line-of-sight navigation, or SDR tinkerers prototyping phased array tracking. Suited for teams needing affordable, steerable radar for target detection in cluttered environments like universities or startups avoiding vendor lock-in.

Verdict

At 20 stars and 1.0% credibility, this alpha project shines in documentation and derivations but lacks mature tests and broad validation—prototype cautiously with simulations first. Strong foundation for radar research; contribute to unlock its potential.

(198 words)

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