Sparse Arrays for Radar, Sonar, and Communications

Moeness G. Amin

• Publisher: Wiley-IEEE Press
• Year: 2023
• Print ISBN: 9781394191017
• eBook ISBN: 9781394191024
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Mobile & Wireless Communications
• Index: Technology & Engineering

Specialized resource providing detailed coverage of recent advances in theory and applications of sparse arrays

Sparse Arrays for Radar, Sonar, and Communications discusses various design approaches of sparse arrays, including those seeking to increase the corresponding one-dimensional and two-dimensional virtual array apertures, as well as others that configure the arrays based on solutions of constrained minimization problems. The latter includes statistical bounds and signal-to-interference and noise ratio; in this respect, the book utilizes the recent strides made in convex optimizations and machine learning for sparse array configurability in both fixed and dynamic environments. Similar ideas are presented for sparse array-waveform design.

The book also discusses the role of sparse arrays in improving target detection and resolution in radar, improving channel capacity in massive MIMO, and improving underwater target localization in sonar. It covers different sparse array topologies, and provides various approaches that deliver the optimum and semi-optimum sparse array transceivers. .

Edited by a world-leading expert in Radar and Signal Processing and contributed to by world-class researchers in their respective fields, Sparse Arrays for Radar, Sonar, and Communications covers topics including:

• Utilizing sparse arrays in emerging technologies and showing their offerings in various sensing and communications applications
• Applying sparse arrays to different environments and obtain superior performances over conventional uniform arrays
• Solving the localization, beamforming, and direction-finding problems using non-uniform array structures for narrowband and wideband signals
• Designing sparse array structures for both stationary and moving platforms that produce physical and synthesized array apertures.
• Using deep neural networks that learn the underlying complex nonlinear model and output the sparse array configuration using representations of the input data spatio-temporal observations
• Solving for optimum sparse array configurations and beamforming coefficients in sensing using iterative convex optimization methods

Providing complete coverage of the recent considerable progress in sparse array design and configurations, Sparse Arrays for Radar, Sonar, and Communications is an essential resource on the subject for graduate students and engineers pursuing research and applications in the broad areas of active/passive sensing and communications.

Table of contents

• Cover
• Title Page
• Copyright
• Contents
• About the Editor
• List of Contributors
• Preface
• Chapter 1 Sparse Arrays: Fundamentals
• Chapter 2 Sparse Array Interpolation for Direction‐of‐Arrival Estimation
• Chapter 3 Wideband and Multi‐frequency Sparse Array Processing
• Chapter 4 Sparse Arrays in Sample Starved Regimes: Algorithms and Performance Analysis
• Chapter 5 Sparse Sensor Arrays for Two‐dimensional Direction‐of‐arrival Estimation
• Chapter 6 Sparse Array Design for Direction Finding Using Deep Learning
• Chapter 7 Sparse Array Design for Optimum Beamforming Using Deep Learning
• Chapter 8 Sensor Placement for Distributed Sensing
• Chapter 9 Sparse Sensor Arrays for Active Sensing: Models, Configurations, and Applications
• Chapter 10 Sparse MIMO Array Transceiver Design in Dynamic Environment
• Chapter 11 Generalized Structured Sparse Arrays for Fixed and Moving Platforms
• Chapter 12 Optimization and Learning‐Based Methods for Radar Imaging with Sparse and Limited Apertures
• Chapter 13 Sparse Arrays for Sonar
• Chapter 14 Unconventional Array Architectures for Next Generation Wireless Communications
• Chapter 15 MIMO Communication with Sparse Arrays
• Index
• EULA