IoT Signal Detection
By Jianwei Liu, Jingjing Wang, Lin Bai, Rui Han | Publisher: Wiley
About the book
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.
Editions of IoT Signal Detection
- Hardcover
- ISBN 9781394183081
- EBook
- ISBN 9781394183104
- EBook
- ISBN 9781394183111
- EBook
- ISBN 9781394183098
Read an Excerpt
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.
Frequently Asked Questions
What is IoT Signal Detection about?
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.
What core themes, tropes, or subjects are explored in IoT Signal Detection?
Technology, Engineering, Agriculture, Industrial processes > Electronics and communications engineering > Communications engineering / telecommunications > Telephone technology > Mobile phone technology
Where can I read a sample of IoT Signal Detection?
You can read an official preview of the few pages here https://www.book2look.com/book/9781394183081
Who is/are the Author/s of the book IoT Signal Detection?
Jianwei Liu, Jingjing Wang, Lin Bai, Rui Han
Who is the Publisher of the book IoT Signal Detection?
Wiley
What are the ISBN numbers for the physical and digital editions?
IoT Signal Detection is available as hardcover(ISBN 9781394183081) and ebook(ISBN 9781394183104) and ebook(ISBN 9781394183111) and ebook(ISBN 9781394183098)
Where can I buy IoT Signal Detection online or support local independent bookshops?
You can buy IoT Signal Detection from below
Where can I buy IoT Signal Detection?