A high-gain high-linearity wide-band low noise amplifier for terrestrial and cable receptions
Ma, DS (Ma, Desheng); Mao, W (Mao, Wei); Gu, M (Gu, Ming); Shi, Y (Shi, Yin); Dai, FF (Dai, Fa Foster); Jaeger, RC (Jaeger, Richard C.); Ma, DS, Chinese Acad Sci, Inst Semicond, Artificial Neural Network & High Speed Circuit La, Beijing 100083, Peoples R China.
2006
会议名称4th International Conference on Communications, Circuits and Systems (ICCCAS 2006)
会议录名称2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS CIRCUITS AND SYSTEMS PROCEEDINGS 丛书标题: International Conference on Communications, Circuits and Systems
页码VOLS 1-4 - VOL 1: SIGNAL PROCESSING - VOL 2: COMMUNICATION THEORY AND SYSTEM - VOL 3: COMPUTER OPTICAL AND BROADBAND COMMUNICATIONS COMPUTATIONAL INTELLIGENCE - VOL 4: CIRCUITS SYSTEMS : 2601-2604
会议日期JUN 25-28, 2006
会议地点Guilin, PEOPLES R CHINA
出版地345 E 47TH ST, NEW YORK, NY 10017 USA
出版者IEEE
ISBN0-7803-9584-0
部门归属chinese acad sci, inst semicond, artificial neural network & high speed circuit la, beijing 100083, peoples r china
摘要This paper presents the design of a wide-band low-noise amplifier (LNA) implemented in a 0.35 mu m SiGe BiCMOS technology for cable (DVB-C) and terrestrial (DVB-T) tuner applications. The LNA utilizes current injection to achieve high linearity. Without using inductors, the LNA achieves 0.1-1GHz wide bandwidth and 18.8-dB gain with less than 1.4-dB gain variation. The noise figure(NF) of the wideband LNA is 5dB, its 1-dB compression point is -2dBm and IIP3 is 8dBm. The LNA dissipates 120mW power with a 5-V supply.
学科领域人工智能
收录类别CPCI-S
语种英语
文献类型会议论文
条目标识符http://ir.semi.ac.cn/handle/172111/9972
专题中国科学院半导体研究所(2009年前)
通讯作者Ma, DS, Chinese Acad Sci, Inst Semicond, Artificial Neural Network & High Speed Circuit La, Beijing 100083, Peoples R China.
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GB/T 7714
Ma, DS ,Mao, W ,Gu, M ,et al. A high-gain high-linearity wide-band low noise amplifier for terrestrial and cable receptions[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2006:VOLS 1-4 - VOL 1: SIGNAL PROCESSING - VOL 2: COMMUNICATION THEORY AND SYSTEM - VOL 3: COMPUTER OPTICAL AND BROADBAND COMMUNICATIONS COMPUTATIONAL INTELLIGENCE - VOL 4: CIRCUITS SYSTEMS : 2601-2604.
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