FM Radio Detection & Demodulation
Research project engineering automated FM radio signal detection using USRP software-defined radio and GNU Radio, implementing robust signal processing workflows and automation scripts.
Software-Defined Radio System
USRP-Based FM Signal Detection Pipeline
Advanced software-defined radio implementation using USRP hardware and GNU Radio for automated FM radio signal detection and demodulation, incorporating sophisticated signal processing algorithms and real-time analysis capabilities.
Research Capabilities
Automated Signal Detection
Sophisticated algorithms for identifying FM radio signals across the spectrum with configurable sensitivity and frequency scanning capabilities.
Real-time Demodulation
High-performance FM demodulation pipeline converting RF signals to baseband audio with minimal latency and distortion.
GNU Radio Integration
Advanced signal processing workflows using GNU Radio's comprehensive DSP library and flowgraph architecture.
USRP Hardware Control
Direct interface with USRP software-defined radio hardware for precise frequency control, gain adjustment, and sampling configuration.
Python Automation
Comprehensive automation scripts for experimental setup, data collection, and batch processing of RF signals and analysis results.
Signal Analysis Tools
Advanced analytical tools for spectral analysis, signal characterization, and performance metric evaluation of detection algorithms.
Implementation Architecture
USRP Hardware Interface
- • Direct USRP device control and configuration
- • Precision frequency tuning and gain control
- • High-speed ADC sample rate management
- • Real-time streaming interface optimization
Signal Processing Pipeline
- • GNU Radio flowgraph design and optimization
- • Custom DSP blocks for FM detection algorithms
- • Multi-stage filtering and decimation chains
- • Real-time spectral analysis and visualization
Detection Algorithms
- • Energy detection with adaptive thresholding
- • Carrier frequency estimation and tracking
- • Signal quality assessment and SNR calculation
- • Multi-channel simultaneous detection capability
Automation & Analysis
- • Python-based experimental control framework
- • Automated data collection and logging systems
- • Statistical analysis and performance evaluation
- • Batch processing capabilities for research datasets
Research Achievements
Engineered automated FM radio detection and demodulation system
Implemented sophisticated signal processing algorithms
Designed robust automation scripts for signal analysis
Applied advanced RF engineering principles in software-defined radio
Research Methodology
Digital Signal Processing Framework
Implemented sophisticated signal processing algorithms using GNU Radio's modular framework, creating custom detection and demodulation workflows optimized for FM radio signal characteristics.
Automated Experimental Framework
Developed comprehensive automation scripts for experimental control, data collection, and analysis, enabling reproducible research workflows and systematic evaluation of detection algorithm performance.
Research Impact
Advanced understanding of signal processing and RF systems through practical implementation of complex radio technologies
Technical Contributions
- • Advanced RF engineering and signal processing expertise
- • Practical implementation of SDR technology in research
- • Automated experimental framework development
- • Real-time digital signal processing optimization
Educational Outcomes
- • Deep understanding of radio frequency engineering principles
- • Hands-on experience with professional SDR hardware
- • Research methodology and experimental design skills
- • Academic publication and presentation preparation