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The definitive implementation guide for modern passive radar technology This comprehensive technical manual provides complete, production-ready source code for three integrated passive radar systems. Written for engineers, researchers, and advanced students, this book delivers practical implementations that can be deployed immediately for research, education, or commercial applications. RETINAsolver: High-precision telemetry solver achieving sub-meter accuracy using Levenberg-Marquardt optimization for bistatic radar applications. 3lips: Real-time multi-static localization with web visualization and ADS-B integration for target tracking and analysis. blah2: SDR-based radar processor supporting RSPDuo, USRP, HackRF, RTL-SDR, and KrakenSDR platforms with real-time delay-Doppler processing. Multi-platform SDR support works with major software-defined radio platforms out of the box. Real-time processing uses optimized C++ and Python implementations for live radar operation. Professional web-based visualization provides 3D mapping interface using CesiumJS. Advanced geometric intersection and optimization methods deliver high-precision results. Modern JSON APIs enable easy integration with other systems. Comprehensive testing includes unit tests, integration tests, and validation tools. Professional Docker deployment works in any environment. Radar engineers building passive sensing systems, research scientists in signal processing and RF engineering, graduate students studying advanced radar techniques, defense contractors developing surveillance systems, amateur radio enthusiasts exploring cutting-edge applications, and software developers integrating radar capabilities. Passive radar offers unique advantages: covert operation, immunity to jamming, ability to detect stealth targets, and cost-effective deployment. These systems leverage existing RF infrastructure as illuminators, making them practical for widespread deployment. PUBLIC DOMAIN RELEASE - This entire work is released under CC0 1.0 Universal Public Domain Dedication, ensuring unrestricted global access for research and commercial use. ITAR COMPLIANT - All content represents unclassified, publicly available research based on open literature and standard signal processing techniques. Whether building a research testbed, developing commercial radar systems, or exploring passive sensing for academic work, this book provides everything needed to get started immediately. The integrated pipeline means you can have a complete passive radar system operational in hours, not months. The code is production-quality with proper error handling, logging, and modular architecture. These aren't academic prototypes - they're systems you can deploy and rely on. Start with Docker deployments to see the systems in action, then dive into source code to customize for your specific requirements.
Passive Radar Systems: Complete Source Code Collection
This the first edition, published August 19th, 202
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