IoT Signal Detection (Hardcover)

Rui Han

ISBN 10: 1394183089 / ISBN 13: 9781394183081

Published by John Wiley & Sons Inc, 2024

About this Item

Hardcover. Comprehensive reference covering signal detection for random access in IoT systems from the beginner to expert level With a carefully balanced blend of theoretical elements and applications, IoT Signal Detection is an easy-to-follow presentation on signal detection for IoT in terms of device activity detection, sparse signal detection, collided signal detection, round-trip delay estimation, and backscatter signal division, building progressively from basic concepts and important background material up to an advanced understanding of the subject. Various signal detection and estimation techniques are explained, e.g., variational inference algorithm and compressive sensing reconstruction algorithm, and a number of recent research outcomes are included to provide a review of the state of the art in the field. Written by four highly qualified academics, IoT Signal Detection discusses sample topics such as: ML, ZF, and MMSE detection, Markov chain Monte Carlo-based detection, variational inference-based detection, compressive sensing-based detectionSparse signal detection for multiple access, covering Bayesian compressive sensing algorithm and structured subspace pursuit algorithmCollided signal detection for multiple access using automatic modulation classification algorithm, round-trip delay estimation for collided signalsSignal detection for backscatter signals, covering central limited theorem-based detection including detection algorithms, performance analysis, and simulation resultsSignal design for multi-cluster coordination, covering successive interference cancellation design, device grouping and power control, and constructive interference-aided multi-cluster coordination With seamless coverage of the subject presented in a linear and easy-to-understand way, IoT Signal Detection is an ideal reference for both graduate students and practicing engineers in wireless communications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9781394183081

Bibliographic Details

• Title: IoT Signal Detection (Hardcover)
• Publisher: John Wiley & Sons Inc
• Publication Date: 2024
• Language: English
• ISBN 10: 1394183089
• ISBN 13: 9781394183081
• Binding: Hardcover
• Condition: new

About this title

Synopsis

Comprehensive reference covering signal detection for random access in IoT systems from the beginner to expert level

With a carefully balanced blend of theoretical elements and applications, IoT Signal Detection is an easy-to-follow presentation on signal detection for IoT in terms of device activity detection, sparse signal detection, collided signal detection, round-trip delay estimation, and backscatter signal division, building progressively from basic concepts and important background material up to an advanced understanding of the subject. Various signal detection and estimation techniques are explained, e.g., variational inference algorithm and compressive sensing reconstruction algorithm, and a number of recent research outcomes are included to provide a review of the state of the art in the field.

Written by four highly qualified academics, IoT Signal Detection discusses sample topics such as:

• ML, ZF, and MMSE detection, Markov chain Monte Carlo-based detection, variational inference-based detection, compressive sensing-based detection
• Sparse signal detection for multiple access, covering Bayesian compressive sensing algorithm and structured subspace pursuit algorithm
• Collided signal detection for multiple access using automatic modulation classification algorithm, round-trip delay estimation for collided signals
• Signal detection for backscatter signals, covering central limited theorem-based detection including detection algorithms, performance analysis, and simulation results
• Signal design for multi-cluster coordination, covering successive interference cancellation design, device grouping and power control, and constructive interference-aided multi-cluster coordination

With seamless coverage of the subject presented in a linear and easy-to-understand way, IoT Signal Detection is an ideal reference for both graduate students and practicing engineers in wireless communications.

About the Author

Rui Han, PhD, is an Associate Professor at the School of Cyber Science and Technology, Beihang University.

Jingjing Wang, PhD, is a Professor at the School of Cyber Science and Technology, Beihang University.

Lin Bai, PhD, is a Professor at the School of Cyber Science and Technology, Beihang University.

Jianwei Liu, PhD, is a Professor at the School of Cyber Science and Technology, Beihang University.