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279,59 €
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Radar Array Design Using Optimization Theory
Radar Array Design Using Optimization Theory
251,63
279,59 €
  • We will send in 10–14 business days.
This book provides an overview of radar beampattern synthesis obtained as the result of an optimization process trying to cover some of the most challenging application fields, including phased array beampattern, Multiple Input Multiple Output (MIMO) beampattern in the presence of clutter, jamming, and congested environments. Innovative and sophisticated instruments from optimization theory, such as Alternating Direction Method of Multipliers (ADMM), coordinate descent technique, semidefinite r…
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This book provides an overview of radar beampattern synthesis obtained as the result of an optimization process trying to cover some of the most challenging application fields, including phased array beampattern, Multiple Input Multiple Output (MIMO) beampattern in the presence of clutter, jamming, and congested environments. Innovative and sophisticated instruments from optimization theory, such as Alternating Direction Method of Multipliers (ADMM), coordinate descent technique, semidefinite relaxation, rank-one matrix decomposition, Lagrange duality theory, fractional programming, convex approximation, Pareto optimization, and Machine Learning (ML) will be framed in the context of radar array design.

The book provides a rigorous mathematical approach corroborated with a wealth of numerical study cases. Additionally, the book has a cross-disciplinary approach because it tries to exploit cross-fertilization of recent research and discoveries in optimization theory. The material of the book is organized in eleven chapters each one completed with a comprehensive list of references.

The book emphasizes both theoretical results and practical applications, clearly demonstrating the potential benefits achievable in radar array design through the utilization of modern optimization theory. A common list of symbols and extensive cross referencing has been undertaken so that the related material can be easily found, thus significantly augmenting the book's value.

This book is intended for systems engineers and their managers within the aerospace and defense sector, technical personnel in procurement agencies and their advisory teams, as well as students pursuing MSc and PhD degrees in signal processing, electrical engineering, and optimization theory.

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This book provides an overview of radar beampattern synthesis obtained as the result of an optimization process trying to cover some of the most challenging application fields, including phased array beampattern, Multiple Input Multiple Output (MIMO) beampattern in the presence of clutter, jamming, and congested environments. Innovative and sophisticated instruments from optimization theory, such as Alternating Direction Method of Multipliers (ADMM), coordinate descent technique, semidefinite relaxation, rank-one matrix decomposition, Lagrange duality theory, fractional programming, convex approximation, Pareto optimization, and Machine Learning (ML) will be framed in the context of radar array design.

The book provides a rigorous mathematical approach corroborated with a wealth of numerical study cases. Additionally, the book has a cross-disciplinary approach because it tries to exploit cross-fertilization of recent research and discoveries in optimization theory. The material of the book is organized in eleven chapters each one completed with a comprehensive list of references.

The book emphasizes both theoretical results and practical applications, clearly demonstrating the potential benefits achievable in radar array design through the utilization of modern optimization theory. A common list of symbols and extensive cross referencing has been undertaken so that the related material can be easily found, thus significantly augmenting the book's value.

This book is intended for systems engineers and their managers within the aerospace and defense sector, technical personnel in procurement agencies and their advisory teams, as well as students pursuing MSc and PhD degrees in signal processing, electrical engineering, and optimization theory.

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