AM Transceiver Based on Forced Oscillator By Using Multi-time Analysis

被引:0
|
作者
Wardkein, Paramote [1 ]
Srisook, Suthasin [1 ]
Kittipute, Kunanon [2 ]
机构
[1] King Mongkuts Inst Technol Ladkrabang, Fac Engn, Dept Telecommun Engn, Bangkok, Thailand
[2] Royal Thai Air Force, Res & Dev Ctr Space & Aeronaut Sci & Technol, Space Affairs Div, Bangkok, Thailand
来源
2015 FIRST ASIAN CONFERENCE ON DEFENCE TECHNOLOGY (ACDT) | 2015年
关键词
AM transceiver; forced oscillator; multi-time; injection locked;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this article, a novel coherent AM transceiver based on forced oscillation by using multi-time analysis is proposed. The compactness of transceiver is obtained because amplitude modulation or demodulation mechanism is inherent in one oscillator circuit. With injection locking property, frequency and phase of the oscillator is identical to that of the transmitted carrier. Based on time varying force function which is an AM signal, coherent demodulation is taken place. In laboratory experiment, the Colpitts oscillator at UHF band is employed where experimental results agree well with the proposed principle.
引用
收藏
页码:193 / 197
页数:5
相关论文
共 50 条
  • [41] Learning multi-time delay gene network using Bayesian network framework
    Liu, TF
    Sung, WK
    Mittal, A
    ICTAI 2004: 16TH IEEE INTERNATIONALCONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2004, : 640 - 645
  • [42] Nonlinear systems identification using dynamic multi-time scale neural networks
    Han, Xuan
    Xie, Wen-Fang
    Fu, Zhijun
    Luo, Weidong
    NEUROCOMPUTING, 2011, 74 (17) : 3428 - 3439
  • [43] Meta-Strategy Based on Multi-Armed Bandit Approach for Multi-Time Negotiation
    Kawata, Ryohei
    Fujita, Katsuhide
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2020, E103D (12) : 2540 - 2548
  • [44] MULTI-TIME SCALE ANALYSIS APPLIED TO LONG-TIME SIMULATION OF POWER-SYSTEMS
    RAO, KR
    JENKINS, L
    PARTHASARATHY, K
    BALASUBRAMANIAN, R
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1985, 7 (01) : 7 - 12
  • [45] Partitioned multi-time step FE-analysis for nonlinear structural dynamics
    Mok, DP
    Wall, WA
    Ramm, E
    STRUCTURAL DYNAMICS, VOLS 1 AND 2, 1999, : 351 - 356
  • [46] Multi-Time Scale Analysis of The Influence of Blast Furnace Operations on Permeability Index
    Li, Weijun
    An, Jianqi
    Chen, Xin
    Wang, Qingyi
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 2574 - 2579
  • [47] Quantum regression theorem for multi-time correlators: A detailed analysis in the Heisenberg picture
    Khan, Sakil
    Agarwalla, Bijay Kumar
    Jain, Sachin
    PHYSICAL REVIEW A, 2022, 106 (02)
  • [48] Local and global stability analysis methods of multi-time scale neural networks
    MeyerBase, A
    APPLICATIONS AND SCIENCE OF ARTIFICIAL NEURAL NETWORKS II, 1996, 2760 : 242 - 249
  • [49] Nonlinear Systems Identification using Dynamic Multi-Time Scales Neural Networks
    Han, Xuan
    Xie, Wen-Fang
    2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2, 2008, : 448 - 453
  • [50] A Multi-Time Step Integration Algorithm for Diffusion Problems Using a Dual Method
    Benes, Michal
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2016 (ICNAAM-2016), 2017, 1863