期刊文献+

Low Power Sensor Design for IoT and Mobile Healthcare Applications 被引量:2

Low Power Sensor Design for IoT and Mobile Healthcare Applications
下载PDF
导出
摘要 This paper reviews recent advances in radar sensor design for low-power healthcare,indoor real-time positioning and other applications of IoT.Various radar front-end architectures and digital processing methods are proposed to improve the detection performance including detection accuracy,detection range and power consumption.While many of the reported designs were prototypes for concept verification,several integrated radar systems have been demonstrated with reliable measured results with demo systems.A performance comparison of latest radar chip designs has been provided to show their features of different architectures.With great development of IoT,short-range low-power radar sensors for healthcare and indoor positioning applications will attract more and more research interests in the near future. This paper reviews recent advances in radar sensor design for low-power health- care, indoor real-time positioning and other applications of IoT. Various radar front-end architectures and digital processing methods are proposed to improve the detection perfor- mance including detection accuracy, detection range and power consumption. While many of the reported designs were prototypes for concept verification, several integrated radar systems have been demonstrated with reliable measured results with demo systems. A perfor- mance comparison of latest radar chip designs has been provided to show their features of different architectures. With great develop- ment of IoT, short-range low-power radar sen- sors for healthcare and indoor positioning ap- plications will attract more and more research interests in the near future.
出处 《China Communications》 SCIE CSCD 2015年第5期42-54,共13页 中国通信(英文版)
关键词 RADAR SENSOR loT indoor posi- tioning vital sign healthcare VLSI low power 传感器设计 医疗应用 功率传感器 雷达系统 移动 检测精度 性能对比 室内定位
  • 相关文献

参考文献31

  • 1CHEN Shanzhi, Xu Hui, Liu Dake, et al. A Vision of loT: Applications, Challenges, and Opportu- nities With China Perspective[J]. IEEE Internet of Things Journal, 2014, 1(4): 349-359.
  • 2XU Lida, HE Wu, LI Shangcang. Internet of Things in Industries: A Survey[J]. IEEE Trans- actions on Industrial Informatics, 2014, 10(4): 2233-2243.
  • 3Terms of the Ubiquitous Networks[S]. CCSA Standard YDB 062-2011, 2011.
  • 4PERERA C, ZASLAVSKY A, LIU C, et al. Sensor Search Techniques for Sensing as a Service Architecture for the Internet of Things[J]. IEEE Sensors Journal, 2014, 14(2): 406-420.
  • 5邓中亮,余彦培,袁协,万能,杨磊.Situation and Development Tendency of Indoor Positioning[J].China Communications,2013,10(3):42-55. 被引量:82
  • 6MORCHE D, MASSON G, RIVAZ S, et al. Doub- le-Quadrature UWB Receiver for Wide-Range Localization Applications With Sub-cm Ranging Precision[J]. IEEE Journal of Solid-State Circuits, 2013, 48(10): 2351-2362.
  • 7Lt Changzhi, LUBECKE V, BORIC-LUBECKE O, et al. A Review on Recent Advances in Doppler Radar Sensors for Noncontact Healthcare Mon- itoring[J]. IEEE Transactions on Microwave The- ory and Techniques, 2013, 61 (5): 2046-2060.
  • 8CHEN Xican, ZHANG Wei, RHEE W, et al. A A2 TDC-Based Beamforming Method for Vital Sign Detection Radar Systems[J]. IEEE Transactions on Circuits and Systems I1: Express Briefs, 2014, 61 (12): 932-936.
  • 9KAO T, YAN Yan, SHFN T, et al. Design and Anal- ysis of a 60-GHz CMOS Doppler Micro-Radar System-in-Package for Vital-Sign and Vibration Detection[J]. IEEE Transactions on Microwave Theory and Techniques, 2013, 61 (4): 1649-1659.
  • 10LI Changzhi, LIN Jenshan, et al. Random Body Movement Cancellation in Doppler Radar Vital Sign Detection[J]. IEEE Transactions on Micro- wave Theory and Techniques, 2008, 56(12): 3143-3152.

二级参考文献6

共引文献81

同被引文献8

引证文献2

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部