Synopsis
In "Integrated Swarm & Missile Defense System," Vikram Singh Sankhala presents a pioneering architecture designed to counter the escalating threats of hypersonic/ballistic missiles and drone swarms. The book details a sophisticated multi-layered defense system, integrating advanced detection methods like space-based HBTSS, quantum radar, and AI-powered RF fingerprinting with rapid interception capabilities including railguns, hypersonic glide interceptors, High-Power Microwave (HPM) arrays, and laser grids. This comprehensive framework emphasizes a hybrid approach, combining diverse technologies for robust, real-time threat neutralization across multiple domains.
The narrative delves into the core innovations driving this next-generation defense, particularly focusing on swarm-specific components and enhanced edge node architectures. It explores the application of cutting-edge AI, such as Multi-Agent Reinforcement Learning (MARL) for coordination and edge Small Language Models (SLMs) for contextual threat assessment, alongside the Model Context Protocol (MCP) for seamless communication. The book provides detailed system engineering insights, process flows, and performance metrics, highlighting the strategic advantages of a scalable, interoperable, and economically viable defense strategy that prioritizes low-cost HPM engagement against swarms before deploying expensive interceptors.