电子学报 ›› 2013, Vol. 41 ›› Issue (4): 821-827.DOI: 10.3969/j.issn.0372-2112.2013.04.033

• 科研通信 • 上一篇    下一篇

一个应用于探测生理信号SoC中的CMOS全集成高线性度低噪声上变频器设计

梁元, 张弘   

  1. 西安电子科技大学微电子学院宽禁带半导体材料与器件教育部重点实验室,陕西西安 710071
  • 收稿日期:2011-10-22 修回日期:2012-04-14 出版日期:2013-04-25
    • 通讯作者:
    • 张 弘 1972年出生,博士,西安电子科技大学微电子学院宽禁带半导体材料与器件教育部重点实验室副教授.研究方向包括:VLSI新器件,结构设计与测试方法的研究,微波功率器件机理及制造研究. E-mail:zhangh@xidian.edu.cn
    • 作者简介:
    • 梁 元 1989年出生.2012年毕业于西安电子科技大学微电子学院.目前研究方向为单片MMIC设计. E-mail:microyuan@126.com
    • 基金资助:
    • 国家重点实验室项目 (No.k50510250010)

Design of a CMOS Fully Integrated Highly Linear Low Noise Up-Converted Mixer for Physiological Signal Detection in Deep Sub-Micron CMOS

LIANG Yuan, ZHANG Hong   

  1. Key Laboratory of Wide Band-gap Semiconductor Materials and Devices of Ministry of Education, School of Microelectronics, Xidian University, Xi'an, Shaanxi 710071, China
  • Received:2011-10-22 Revised:2012-04-14 Online:2013-04-25 Published:2013-04-25

摘要: 本文设计一款用于探测生理信号SoC芯片中的5GHz双边带上变频器.该混频器基于传统的吉尔伯特单元,采用交流耦合current-bleeding结构以及三阶非线性失真抵消技术抑制非线性.通过将跨导级晶体管偏置在不同的工作区域(transconductance-boost结构),使得带内变频损失小于5dB而IIP3介于22.3dBm到39.8dBm,而且双边带噪声指数小于8.2dB.应用全差分结构和感性源极钝化,再次抑制了二阶以及三阶失真.全部上变频器在1.2V供电条件下总功耗为8.4mW.

关键词: 雷达感应芯片, 上变频混频器, 非线性失真, 线性化技术

Abstract: This paper discribes a 5GHz double sideband up-converted mixer design in a SoC-based sensor chip for physiological signal detection.Characterized by conventional Gilbert core,the proposed topology introduced current-bleeding and third-order distortion cancellation to relax nonlinearity.By biasing the transconductance stages into heterogeneous operation region the conversion loss was better than 5dB and the mixer obtained in-band(4.5GHz-5.5GHz) IIP3 ranged from 22.3dBm to 39.8dBm,and the noise figure is less than 8.2dB.Differential implementation and inductive source degeneration are adopted,by which the second and the third harmonics are further suppressed,given that the mixer merely consumes 8.4mW from 1.2V supply.

Key words: radar sensor chip, up-converted mixer, distortions, linearization

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