Optimized LNA for analog RF front-end circuit in brain-machine interface

摘要：

Advances in hardware technology, and wireless network have led to widely usage of implantable wireless micro-systems. These applications demand for small, low-cost, and low-power wireless transceivers. One of the most important blocks in wireless receivers is the low-noise amplifier (LNA). This paper presents a biasing optimized LNA for analog front-end circuit in brain-machine interface. An optimized biasing technique is thoroughly analyzed first in this paper, and a LNA circuit is designed based on this technique.

关键词： BMI front-end circuit implants RFID LNA

作者: Haizheng Guo Bo Wang Bangli Liang Tad Kwasniewski Robert Sobot

作者单位: Department of Electronics Carleton University Ottawa, ON Canada K1S 5B6 Department of Electronics, Department of ECE Carleton University, UWO Ottawa, ON Canada K1S 5B6, Lon

会议类型: 国际会议

会议名称: 2010 IEEE International Conference Conferenhce on Wireless Communications,Networking and Information Security(2010 IEEE 无线通信、网络技术与信息安全国际会议 WCNIS)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-25（万方平台首次上网日期，不代表论文的发表时间）