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Optimization of Multilayered Radar Absorbing Structures (RAS) using Nature Inspired Algorithm

A practical guide to radar absorbing structures design and optimization

Hema Singh author Vineetha Joy author Raveendranath U Nair author Vishal G Padwal author

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:19th Jul '21

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Optimization of Multilayered Radar Absorbing Structures (RAS) using Nature Inspired Algorithm cover

The book details an efficient approach to material selection and thickness optimization for multilayered radar absorbing structures using particle swarm optimization.

In Optimization of Multilayered Radar Absorbing Structures (RAS) using Nature Inspired Algorithm, the author introduces an efficient particle swarm optimization (PSO) algorithm tailored for the selection of materials and thickness optimization in multi-layered radar absorbing structures (RAS). This book provides a comprehensive theoretical foundation necessary for analyzing these structures, along with a detailed implementation procedure for the PSO-based algorithm. Readers will find that the blend of theory and practical application makes this work particularly useful for those engaged in electromagnetic design.

Stealth technology plays a vital role in modern combat scenarios, where elements such as speed and surprise are critical for survival. The primary objective outlined in Optimization of Multilayered Radar Absorbing Structures (RAS) using Nature Inspired Algorithm is to minimize the radar visibility of military vehicles through various techniques, including shaping and the application of radar-absorbing materials. The book covers both normal and oblique incidence cases, ensuring a thorough understanding of multilayered RAS models.

This resource is designed for students, researchers, and professionals in the field. It not only describes the theoretical background necessary for RAS analysis but also includes step-by-step procedures, intuitive ray diagrams, and comprehensive flowcharts to facilitate algorithm implementation. The author supports the methodology with validations and case studies, ensuring that readers can appreciate the accuracy and efficiency of the developed code.

ISBN: 9780367759124

Dimensions: unknown

Weight: 254g

70 pages