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C3 Scalable THz Transceiver Impairment Model

C3 Scalable THz Transceiver Impairment Model
C3 可扩展太赫兹收发器损伤模型
批准号:
509013251
负责人:
Professor Dr.-Ing. Ingmar Kallfass
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Units
财政年份:
--
资助国家:
德国
项目状态:
未结题
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中文摘要
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英文摘要
We combine the measurement and modeling results from sub-projects A3, B2 and B3 in phase 1 and use them to compose a comprehensive model of the THz transmitter, the THz receiver, and ultrabroadband sampling. The model will include all major impairments such as RF bandwidth, amplifier and mixer non-linearities, additive noise, LO phase noise, sampling jitter, sampling bandwidth, effective resolution etc. The model will be implemented in Matlab/Simulink and Keysight ADS and shall allow co-simulation with ADS and Simulink, while we will also investigate the tradeoffs between time and frequency resolution and computational efficiency. Measurements from transceiver experiments, experiments with electronic and optoelectronic frequency synthesizers, as well as electronic and optical sampling experiments will be used to calibrate the simulation model in order to be able to quantify the impairments and to assess transceiver performance based on realistic figures. After the calibration of the simulation model with measurement results it will be handed over to sub-projects on system level (C1, C2) and to sub-project T. We will also use the parameterized transceiver impairment model to systematically study the influence of the different impairments on EVM and BER, depending on overall system parameters such as RF bandwidth, modulation schemes, Baud rate, sampling rate etc.
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Active THz Transceiver Components
  • 批准号:
    424608191
  • 项目类别:
    Research Units
  • 资助金额:
    $0.0万
  • 财政年份:
    2019
  • 负责人:
    Professor Dr.-Ing. Ingmar Kallfass
  • 依托单位:
TERAhertz links using SOlid state devices and photoNICs
Monolithic Integrated Phase Shifters for Electronic Beamforming in the High Millimeterwave Frequency Range
Highly Integrated 3D-Radar System at 240GHz
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis