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Sparse Sensing and Sparsity Sensed in Multi-sensor Array Applications

The book focuses on sparse multi-sensor array systems and design approaches. Both principles and engineering practice have been addressed, with more weight placed on algorithm development. This is achieved by providing an in-depth study on sparse sensing for several major multi-sensor array applicat...

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Bibliographic Details
Main Authors: Wang, Xiangrong (Author), Wang, Xianghua (Author), Zhai, Weitong (Author), Cai, Kaiquan (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Subjects:
Telecommunication.
Signal processing.
Microwaves, RF Engineering and Optical Communications.
Digital and Analog Signal Processing.
Online Access:https://doi.org/10.1007/978-981-99-9558-5
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Table of Contents:
  • Foundation
  • Array Processing Fundamentals
  • Multi-Sensor Array Applications
  • Sparse Sensing via Antenna Selection
  • Sparse Sensing for Determininic Beamforming
  • Sparse Sensing for Adaptive Beamforming
  • Cognitive-Driven Optimization of Sparse Sensing
  • Sparse Sensing for MIMO Array Radar
  • Sparse Sensing for Target Detection
  • Sparse Sensing for Dual-Functional Radar Communications
  • Sparsity Sensed using Sparse Arrays
  • Sparsity Sensed with Thinned Antenna Array
  • Sparsity Sensed for Enhanced DOA Estimation.

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