Optimizing Transmitter Amplifier Load Impedance for Tuning Performance in a Metacognition-Guided, Spectrum Sharing Radar
Optimizing Transmitter Amplifier Load Impedance for Tuning Performance in a Metacognition-Guided, Spectrum Sharing Radar
复制标题
优化发射机放大器负载阻抗以调整元认知引导的频谱共享雷达的性能
DOI:
10.1109/radar42522.2020.9114669
复制
发表时间:
2020
期刊:
影响因子:
--
通讯作者:
R. Marks
中科院分区:
文献类型:
--
作者:
Adam C. Goad;Austin Egbert;Angelique Dockendorf;C. Baylis;A. Martone;R. Marks
Transmitter power amplifier load impedance impacts the transmitted power of the radar, which affects the maximum detection range. In spectrum sharing radars, the operating frequency is expected to change on the order of a few milliseconds coherent processing interval (CPI), which can be in the low milliseconds. While a high-power impedance tuner has been developed for radar applications, its reconfiguration time requires at least several hundreds of milliseconds, thus significantly exceeding the CPI time scale and preventing configuration adjustments within the CPI. We demonstrate an algorithm that assesses and improves the amplifier impedance tuning during a spectrum sharing metacognition process in a cognitive radar. Measurement results show success in achieving maximum average power over test intervals using the control of an adaptive software-defined radio platform.
影响因子:
20.6
作者:
Griffiths, Hugh;Cohen, Lawrence;Blunt, Shannon
通讯作者:
Blunt, Shannon