A Switched Capacitor Digital Sinewave Mixer for Software-Defined Radio

被引:2
|
作者
van Manen, Labrinus [1 ]
Klumperink, Eric A. M. [1 ]
Cornelissens, Koen [2 ]
Borremans, Marc [2 ]
Nauta, Bram [1 ]
机构
[1] Univ Twente, Integrated Circuit Design Grp, Fac Elect Engn Math & Comp Sci, NL-7500 Enschede, Netherlands
[2] Huawei Technol Res & Dev, Belgian Res Ctr, B-3001 Leuven, Belgium
来源
IEEE SOLID-STATE CIRCUITS LETTERS | 2019年 / 2卷 / 02期
关键词
Carrier aggregation; direct digital frequency synthesis (DDFS); discrete-time mixing; harmonic rejection; multiband; multichannel; RF sampling; software-defined radio; switched-capacitor; wideband sampling;
D O I
10.1109/LSSC.2019.2914859
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This letter proposes a discrete-time mixer: the sampled RF input is multiplied by digital sinewave-LO samples. The multiplication is implemented by charge sharing between a unary weighted sampling capacitor and an output capacitor. Spurious responses as low as -56 dBc are achieved due to the good linearity and matching properties of capacitors. Four 5 GS/s time-interleaved samplers are implemented to cover the entire RF range from 0.1 to 4.9 GHz, while simultaneously providing 50 Omega impedance matching. Any radio channel narrower than 20 MHz in this RF range can be received at a fixed 20 GS/s sample rate. The worst case spurious response, caused by time-errors in the interleaving clock phases, is at -36 dBc (uncalibrated). Other measured parameters, of the 28 nm CMOS IC occupying an active area of 0.45 mm(2), over the RF band from 1.1 to 4.9 GHz are: NF = 14-16 dB (single-side band), IIP3 > +12 dBm, P1dB > +2 dBm, and P = 135 mW at a fixed RF sample rate of 20 GS/s.
引用
收藏
页码:13 / 16
页数:4
相关论文
共 50 条
  • [21] Evaluation of Digital Codings on the SoC-based Software-Defined Radio for the Military Communication
    Pawgasame, Wichai
    PROCEEDINGS OF 2017 THIRD ASIAN CONFERENCE ON DEFENCE TECHNOLOGY (ACDT), 2017,
  • [22] Broad band software-defined radio receivers based on superconductive devices
    Fujimaki, A
    Nakazono, K
    Hasegawa, H
    Sato, T
    Akahori, A
    Takeuchi, N
    Furuta, F
    Katayama, M
    Hayakawa, H
    IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2001, 11 (01) : 318 - 321
  • [23] A Software-Defined Radio Based Automatic Modulation Classifier
    Cutno, Patrick
    Cheng, Chi-Hao
    2017 WIRELESS TELECOMMUNICATIONS SYMPOSIUM (WTS), 2017,
  • [24] Proposal and evaluation of security schemes for software-defined radio
    Shiba, H
    Uehara, K
    Araki, K
    PIMRC 2003: 14TH IEEE 2003 INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS PROCEEDINGS, VOLS 1-3 2003, 2003, : 114 - 118
  • [25] Overview of ISM Bands and Software-Defined Radio Experimentation
    Abhaykumar Kumbhar
    Wireless Personal Communications, 2017, 97 : 3743 - 3756
  • [26] An emergency communication system based on software-defined radio
    Gianmarco Baldini
    Taj Sturman
    Alberto Dalode
    Andrea Kropp
    Claudio Sacchi
    EURASIP Journal on Wireless Communications and Networking, 2014
  • [27] Seamless Dynamic Runtime Reconfiguration in a Software-Defined Radio
    Dickens, Michael
    Laneman, J. Nicholas
    Dunn, Brian P.
    JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2012, 69 (01): : 87 - 94
  • [28] Software-Defined Radio Applied to a Shielding Effectiveness Measurement
    Perotoni M.B.
    Manfrin S.K.
    Silva V.F.
    Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 2023, 22 (03): : 396 - 409
  • [29] An emergency communication system based on software-defined radio
    Baldini, Gianmarco
    Sturman, Taj
    Dalode, Alberto
    Kropp, Andrea
    Sacchi, Claudio
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2014, : 1 - 16
  • [30] Overview of ISM Bands and Software-Defined Radio Experimentation
    Kumbhar, Abhaykumar
    WIRELESS PERSONAL COMMUNICATIONS, 2017, 97 (03) : 3743 - 3756