Optimizing Transmitter Amplifier Load Impedance for Tuning Performance in a Metacognition-Guided, Spectrum Sharing Radar

Adam Goad, Austin Egbert, Angelique Dockendorf, C. Baylis, A. Martone, R. Marks
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引用次数: 5

Abstract

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.
元认知制导频谱共享雷达中发射机放大器负载阻抗优化调谐性能
发射机功率放大器负载阻抗影响雷达的发射功率,从而影响雷达的最大探测距离。在频谱共享雷达中,期望工作频率在几毫秒级的相干处理间隔(CPI)上发生变化,可以在低毫秒级。虽然已经开发出用于雷达应用的高功率阻抗调谐器,但其重新配置时间至少需要数百毫秒,因此大大超过CPI时间尺度,并且无法在CPI内进行配置调整。我们展示了一种评估和改进认知雷达频谱共享元认知过程中放大器阻抗调谐的算法。测量结果表明,通过自适应软件定义无线电平台的控制,成功地实现了测试间隔内的最大平均功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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