Batteryless mm-Wave Wireless Sensors
Book information
Description
This book describes the PREMISS system, which enables readers to overcome the limitations of state-of-the-art battery-less wireless sensors in size, cost, robustness and range, with a system concept for a 60 GHz wireless sensor system with monolithic sensors. The authors demonstrate a system in which the wireless sensors consist of wireless power receiving, sensing and communication functions in a single chip, without external components, avoiding costly IC-interfaces that are sensitive to mechanical and thermal stress. Front Matter ....Pages i-x Introduction (Hao Gao, Marion Matters-Kammerer, Dusan Milosevic, Peter G. M. Baltus)....Pages 1-4 State of the Art (Hao Gao, Marion Matters-Kammerer, Dusan Milosevic, Peter G. M. Baltus)....Pages 5-11 System Analysis of mm-Wave Wireless Sensor Networks (Hao Gao, Marion Matters-Kammerer, Dusan Milosevic, Peter G. M. Baltus)....Pages 13-19 Rectifier Analysis (Hao Gao, Marion Matters-Kammerer, Dusan Milosevic, Peter G. M. Baltus)....Pages 21-41 mm-Wave Rectifiers (Hao Gao, Marion Matters-Kammerer, Dusan Milosevic, Peter G. M. Baltus)....Pages 43-58 mm-Wave Monolithic Integrated Sensor Nodes (Hao Gao, Marion Matters-Kammerer, Dusan Milosevic, Peter G. M. Baltus)....Pages 59-78 mm-Wave Low-Power Receiver (Hao Gao, Marion Matters-Kammerer, Dusan Milosevic, Peter G. M. Baltus)....Pages 79-100 mm-Wave Front-End Design for Phased-Array Systems (Hao Gao, Marion Matters-Kammerer, Dusan Milosevic, Peter G. M. Baltus)....Pages 101-132 Conclusions (Hao Gao, Marion Matters-Kammerer, Dusan Milosevic, Peter G. M. Baltus)....Pages 133-134 Back Matter ....Pages 135-138
Similar books
Quick Start Guide to VHDL
Quick Start Guide to VHDL
EPUB
Electric Circuits, Systems, And Motors
2020 · PDF
A Short History Of Circuits And Systems: From Green, Mobile, Pervasive Networking To Big Data Computing
2016 · PDF
Handbook Of Digital CMOS Technology, Circuits, And Systems
2020 · PDF
Introductory Circuit Theory
2020 · PDF
Intelligent Embedded Systems: Select Proceedings of ICNETS2, Volume II
2018 · PDF
Machine Learning for Model Order Reduction
2018 · PDF