Sparse Arrays for Radar, Sonar, and Communications 1st Edition

Capture cutting-edge beamforming and sensing strategies with Sparse Arrays for Radar, Sonar, and Communications, 1st Edition by Moeness G. Amin. This authoritative guide presents a clear, practical roadmap to designing and applying sparse array techniques that reduce hardware cost while enhancing spatial resolution—essential reading for engineers, researchers, and graduate students worldwide.

Begin with concise, accessible explanations of sparse array theory and progress into advanced topics: array geometry, mutual coupling mitigation, direction-of-arrival estimation, compressive sensing approaches, and performance trade-offs. Real-world examples span radar surveillance, underwater sonar, wireless communications, and remote sensing, making the content immediately relevant to defense, maritime, aerospace, and commercial telecom projects across global markets.

What sets this volume apart is its blend of rigorous analysis and practical guidance. Expect algorithm descriptions, comparative performance evaluations, and design principles that help you choose the right sparse configuration for operational constraints. Whether you’re optimizing a phased array for coastal monitoring or developing compact antenna systems for 5G and beyond, the book arms you with methods to improve detection, reduce cost, and streamline implementation.

Clear figures, stepwise derivations, and targeted case studies make complex ideas approachable without sacrificing depth. If you’re looking to advance signal processing expertise or lead innovation in radar, sonar, or communications systems, this text is a strategic investment.

Order your copy of Sparse Arrays for Radar, Sonar, and Communications today and bring proven sparse array strategies to your next project—boost performance, cut hardware overhead, and stay ahead in global sensing and communication applications.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.