Software-Defined Radio Drone Detection Systems: Architecture, Signal Processing, Machine Learning, and Real-World Deployment

Drones have rapidly transformed modern airspace—introducing new capabilities, but also new security challenges. Software-Defined Radio Drone Detection Systems provides a practical, engineering-focused guide to detecting, classifying, and tracking drones using SDR technology.This book presents a complete, real-world approach to drone detection, covering system architecture, RF signal processing, machine learning–based classification, localization techniques, and scalable deployment models. Designed to be hardware-agnostic, the framework supports everything from entry-level SDR devices to professional and enterprise-grade platforms.Readers will learn how to build end-to-end detection pipelines—from RF signal capture and feature extraction to real-time inference and multi-sensor fusion. Unlike purely academic texts, this book emphasizes operational deployment, including calibration, performance validation, auditability, regulatory awareness, and system integration.Ideal for engineers, researchers, security professionals, and system integrators, this reference bridges theory and practice, enabling the development of robust, compliant, and scalable drone detection systems suitable for real-world environments.Whether used for research, critical infrastructure protection, or advanced RF system design, this book delivers the technical depth and practical insight required to deploy SDR-based drone detection systems with confidence. Read more