Real-time drone detection, payload analysis, and threat classification using RF signatures, micro-Doppler radar, and machine learning - at 1/100th the cost of commercial solutions.
Drones are everywhere. Some are harmless (photography, delivery, agriculture). Some are not (surveillance, smuggling, weaponized attacks). Current counter-drone systems cost $100K - $5M+ and are only available to military and government agencies.
There is no affordable system that can:
- Detect drones in the sky via RF signals
- Classify them as friendly or hostile in real-time
- Detect if a "known safe" drone has been modified to carry a payload
- Neutralize hostile drones
SkyShield fills this gap.
| Feature | Commercial Systems | SkyShield |
|---|---|---|
| Cost | $100K - $5M+ | $500 - $3,000 |
| RF Drone Detection | Yes | Yes |
| Payload Detection | Limited (military only) | Yes (micro-Doppler + EMI) |
| "Familiar Drone" Attack Defense | No | Yes |
| Motor EMI Weight Estimation | No | Yes |
| Proprietary & Affordable | No (expensive only) | Yes |
| Neutralization Options | Some | 4 methods |
- "Familiar Drone" Spoofing Defense - Detects when a known consumer drone (e.g., DJI Mini) has been modified with a hostile payload, even though its RF signature says "safe"
- Motor EMI Passive Payload Weight Estimation - Uses the same SDR to pick up motor electromagnetic interference and estimate payload weight. Zero additional hardware cost
- Multi-Layer Fusion at Under $3,000 - Combines RF + Radar + EMI + Behavior AI at a fraction of commercial cost (proprietary implementation)
- Acoustic Gyroscope Disruption for C-UAS - Applying MEMS gyroscope resonance attacks as a drone neutralization method
- Combined Detect + Classify + Neutralize - Full pipeline in one affordable system
DETECTION (What's in the sky?)
+-- Layer 1: RF Signature Matching [$25-200] - Identify drone model via SDR
+-- Layer 2: Motor EMI Weight Estimation [FREE] - Detect payload via motor noise
+-- Layer 3: Micro-Doppler Radar [$50-300] - Payload shape/weight via FMCW radar
+-- Layer 4: Flight Behavior AI [FREE] - Anomaly detection from flight patterns
+-- Layer 5: "Familiar Drone" Defense [FREE] - Override safe RF if payload detected
CLASSIFICATION (Is it dangerous?)
+-- Known drone + No payload = SAFE
+-- Known drone + Payload detected = HOSTILE (novel)
+-- Unknown drone + No payload = SUSPICIOUS
+-- Unknown drone + Payload detected = CRITICAL THREAT
NEUTRALIZATION (What to do about it?)
+-- Option A: GPS Spoofing [$100-500] - Deviate to safe landing zone
+-- Option B: Selective RF Jamming [$200-2K] - Trigger Return-to-Home
+-- Option C: Protocol Cyber Takeover [$100-500] - Full control (MAVLink drones)
+-- Option D: Acoustic Gyro Disruption [$50-300] - Ultrasonic destabilization
[RF Antenna + SDR] --> [Signal Processing] --> [Feature Extraction] --> [ML Classifier] --> [Alert]
(Hardware) (FFT / DSP) (Spectrogram) (CNN Model) (Dashboard)
|
v
[Micro-Doppler Radar] --> [Payload Detection]
(FMCW 24/77GHz) (Weight/Shape)
- RF Capture - SDR receiver captures drone-to-controller RF signals (2.4 / 5.8 GHz)
- Signal Processing - FFT converts raw RF into spectrograms
- Feature Extraction - Frequency, modulation, bandwidth, hopping patterns
- ML Classification - CNN compares RF fingerprint against known drone database
- Payload Detection - Micro-Doppler radar + motor EMI analysis detects added weight
- Multi-Layer Fusion - All layers combined for final threat verdict
ATTACK SCENARIO:
Attacker buys DJI Mini --> Attaches explosive --> Flies toward target
|
v
RF says "DJI Mini = SAFE"
|
v
Normal systems: NO ALERT (breach!)
SKYSHIELD RESPONSE:
RF says "DJI Mini" --> BUT radar says "+650g payload"
--> AND motor EMI says "RPM +18% above normal"
--> AND behavior AI says "sluggish flight"
|
v
OVERRIDE: "PAYLOAD DETECTED - HOSTILE"
| Component | Example | Cost |
|---|---|---|
| SDR Receiver | RTL-SDR v4 | $25-35 |
| Wideband Antenna | 2.4/5.8 GHz omnidirectional | $20-50 |
| Processing Unit | Raspberry Pi 4 (4GB) | $50-75 |
| MicroSD + Power | 64GB + 5V supply | $20-30 |
| Component | Example | Cost |
|---|---|---|
| SDR Receiver | HackRF One / USRP B210 | $200-2,000 |
| Wideband Antenna | Directional + omnidirectional | $50-200 |
| FMCW Radar Module | TI IWR1443 / IWR6843 | $50-300 |
| Processing Unit | NVIDIA Jetson Orin Nano | $200-500 |
| Antenna Array (optional) | For direction finding | $100-500 |
| Layer | Technology | Purpose |
|---|---|---|
| RF Capture | GNU Radio, SoapySDR | Interface with SDR hardware |
| Signal Processing | Python (NumPy, SciPy) | FFT, spectrogram, feature extraction |
| ML Classification | TensorFlow / PyTorch | Drone RF signature classification |
| Radar Processing | Python + TI mmWave SDK | Micro-Doppler payload detection |
| Database | SQLite / PostgreSQL | Known drone RF fingerprint storage |
| Real-time Pipeline | Python / C++ | Low-latency signal processing |
| Dashboard | Flask / React | Real-time alerts and visualization |
SkyShield/
+-- index.html # Research document (feasibility, market, technical details)
+-- README.md # This file
+-- CLAUDE.md # AI assistant context file
+-- src/ # Source code (coming soon)
| +-- capture/ # RF signal capture modules
| +-- processing/ # Signal processing pipeline (FFT, spectrogram)
| +-- classification/ # ML model training and inference
| +-- radar/ # Micro-Doppler radar processing
| +-- fusion/ # Multi-layer detection fusion engine
| +-- neutralization/ # Drone neutralization modules (research only)
| +-- dashboard/ # Web-based real-time dashboard
| +-- database/ # Drone RF signature database
+-- models/ # Trained ML models
+-- data/ # RF signature datasets
| +-- raw/ # Raw SDR captures
| +-- spectrograms/ # Processed spectrogram images
| +-- labeled/ # Labeled training data
+-- docs/ # Additional documentation
| +-- papers/ # Reference academic papers
| +-- hardware/ # Hardware setup guides
+-- tests/ # Test suite
| Phase | Timeline | Description | Status |
|---|---|---|---|
| Phase 1 | Week 1-2 | RF capture setup (SDR + GNU Radio + antenna) | Planned |
| Phase 2 | Week 3-4 | Signal processing pipeline (FFT, spectrograms) | Planned |
| Phase 3 | Week 5-8 | Dataset collection (fly drones, record RF signatures) | Planned |
| Phase 4 | Week 9-12 | ML model training (CNN on spectrograms) | Planned |
| Phase 5 | Week 13-16 | Radar integration (TI IWR1443 + micro-Doppler) | Planned |
| Phase 6 | Week 17-20 | Real-time system + dashboard | Planned |
| Phase 7 | Week 21-24 | Neutralization research (acoustic + GPS in shielded lab) | Planned |
| Phase 8 | Week 25-30 | Field testing + optimization | Planned |
| Method | Accuracy | Hardware Cost | How It Works |
|---|---|---|---|
| Micro-Doppler Radar | 90-97% | $50-300 | Radar detects rotor RPM changes from payload weight |
| Motor EMI Profiling | 80-90% | FREE (uses SDR) | Motor EM noise shifts frequency with payload weight |
| Radar Cross-Section | 85-95% | $100-500 | Drone reflects radar differently with payload attached |
| Flight Behavior AI | 75-88% | FREE (software) | ML detects abnormal flight patterns from payload |
| Payload | Weight | Detectable? | Method |
|---|---|---|---|
| Camera / Surveillance | +100-300g | Partial | RPM shift + slight RCS change |
| Package / Box | +500g-2kg | Yes | Major RPM + RCS + flight anomaly |
| Explosive / IED | +200g-1kg | Yes | RPM + RCS + metallic radar reflection |
| Chemical / Spray | +300g-1.5kg | Yes | Liquid sloshing vibration + weight |
| Signal Jammer | +100-400g | Yes | Active RF emission + RPM shift |
LEGAL WARNING: Drone jamming, GPS spoofing, and active neutralization is ILLEGAL in most countries without government authorization. These methods are documented for authorized research, controlled lab environments, and academic study ONLY.
| Method | Effect | Range | Cost | Legal Risk | Novelty |
|---|---|---|---|---|---|
| RF Jamming | RTH / Land | 100m-2km | $200-2K | HIGH | Low |
| GPS Spoofing | Redirect drone | 100m-1km | $100-500 | VERY HIGH | Medium |
| Protocol Exploit | Full control | 100m-1km | $100-500 | HIGH | Medium-High |
| RTH Trigger | Return to launch | 100m-2km | $100-500 | HIGH | Low |
| Acoustic Gyro Attack | Destabilize | 10-50m | $50-300 | LOW | VERY HIGH |
| Net / Physical | Capture | 10-100m | $50-500 | LOW | Low |
The global Counter-UAS market is valued at $3.88 billion (2026), projected to reach $16.45 billion by 2034.
| Company | Product | Price | Country |
|---|---|---|---|
| Dedrone (Axon) | RF-360 | ~$16K/sensor | USA |
| DroneShield | DroneSentry | $50K-500K+ | Australia |
| D-Fend Solutions | EnforceAir | Military pricing | Israel |
| Rohde & Schwarz | ARDRONIS | $100K+ | Germany |
| Anduril | Sentry Tower | Military contracts | USA |
| Rafael | Drone Dome | Military contracts | Israel |
| BlueHalo | Titan C-UAS | $1M+ | USA |
SkyShield's position: Affordable proprietary alternative ($500-3K) targeting defense agencies, security firms, and research institutions. No commercial product offers payload detection + neutralization at this price point.
- Payload Detection: "Multi-Frequency Radar Micro-Doppler Based Classification of Micro-Drone Payload Weight" - Frontiers in Signal Processing, 2021
- Motor EMI: "Characteristic mode analysis of electromagnetic interference susceptibility in motor driven unmanned drones" - Nature Scientific Reports, 2025
- Acoustic Attack: "Rocking Drones with Intentional Sound Noise on Gyroscopic Sensors" - USENIX Security, 2015
- Neuromorphic Detection: "Neuromorphic Drone Detection: an Event-RGB Multimodal Approach" - arXiv, 2024
- Passive Radar: "UAV Detection with Passive Radar: Algorithms, Applications, and Challenges" - MDPI Sensors, 2025
- Sensor Fusion: "Radar and Acoustic Sensor Fusion using a Transformer Encoder" - arXiv, 2025
- GPS Spoofing: "An Experimental Study of GPS Spoofing and Takeover Attacks on UAVs" - USENIX Security, 2022
- Comprehensive Survey: "Securing the Skies: A Comprehensive Survey on Anti-UAV Methods" - CVPR, 2025
This project is for defensive security research and educational purposes only.
- RF monitoring laws vary by country. Check local telecommunications regulations before operating SDR equipment.
- RF jamming is illegal in virtually all countries without government authorization.
- GPS spoofing is a federal crime in most jurisdictions.
- Neutralization techniques should only be tested in RF-shielded environments (Faraday cages) or with proper government authorization.
- The authors are not responsible for any misuse of this research.
- Always comply with local aviation, telecommunications, and electronic warfare regulations.
This is a private, proprietary research project. All rights reserved.
- This repository and all its contents are confidential and owned by Suliman Khan
- Unauthorized copying, distribution, or use is strictly prohibited
- No part of this project may be reproduced, modified, or shared without explicit written permission
- For collaboration or licensing inquiries, contact the repository owner
All Rights Reserved. See LICENSE for details.
SkyShield - Proprietary Counter-UAS Research
Suliman Khan | 2026 | All Rights Reserved