Sparse Arrays for Radar, Sonar, and Communications, レーダー、ソナー、通信用スパースアレイ, 9781394191017, 978-1-394-19101-7,「次世代装備」
Description
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.
Contents:
1 Sparse Arrays: Fundamentals
2 Sparse Array Interpolation for Direction-of-Arrival Estimation
3 Wideband and Multi-frequency Sparse Array Processing
4 Sparse Arrays in Sample Starved Regimes: Algorithms and Performance Analysis
5 Sparse Sensor Arrays for Two-dimensional Direction-of-arrival Estimation
6 Sparse Array Design for Direction Finding Using Deep Learning
7 Sparse Array Design for Optimum Beamforming Using Deep Learning
8 Sensor Placement for Distributed Sensing
9 Sparse Sensor Arrays for Active Sensing: Models, Configurations, and Applications
10 Sparse MIMO Array Transceiver Design in Dynamic Environment
11 Generalized Structured Sparse Arrays for Fixed and Moving Platforms
12 Optimization and Learning-Based Methods for Radar Imaging with Sparse and Limited Apertures
13 Sparse Arrays for Sonar
14 Unconventional Array Architectures for Next Generation Wireless Communications
15 MIMO Communication with Sparse Arrays