Musannatech RF Based Detection

RF Based Detection

RF-Based Commercial UAV Recognition System in Complex Urban Environment. The RF-Based Commercial UAV Recognition System is a passive, real-time drone detection and classification solution designed for urban airspace monitoring. Using ANTSDR for RF signal acquisition and a YOLO-based deep learning model for intelligent recognition, the system identifies commercial UAVs by analyzing their RF communication signatures, even in congested and non-line -of-sight environments.

Key Features

  • Passive RF Detection – No active transmission; covert and spectrum-safe operation
  • Real-Time Recognition – Low-latency detection using YOLO deep learning
  • Urban-Ready Design – Robust against RF interference and multipath effects
  • Non-Line-of-Sight Operation – No visual dependency
  • Panoramic view Scalable Architecture – Suitable for fixed, mobile, or distributed deployments
  • Edge-Deployable – Optimized for embedded and GPU-enabled platforms Edge-Deployable – Optimized for embedded and GPU-enabled platforms

Technical Specifications

Specification Detail
RF Front-End: ANTSDR-Based RF Signal Acquisition
SDR Platform: ANTSDR Operating Bands: 2.4 GHz & 5.8 GHz ISM (configurable)
Sensing Mode: Passive RF monitoring
Target Signals: UAV command, control, and telemetry links
Signal Processing & AI Input Data: RF IQ samples
Feature Representation: Spectrogram / STFT / Frequency-domain images
AI Model: YOLO (configurable version)
Detection Task: UAV presence and class recognition Performance
Operational Environment: Dense urban RF spectrum
Back