微波雷达系统实时波形和阻抗优化测试平台

C. Baylis, Joshua Martin, M. Moldovan, Obiageli Akinbule, R. Marks
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引用次数: 4

摘要

贝勒大学建立了一个测试平台,用于开发认知雷达的同步波形和电路优化方法。这项工作的最终目标是允许在片上,同时优化来自FPGA认知无线电平台的发射功率放大器的波形和负载阻抗。该试验台包括矢量信号发生器、负载-拉力调谐器、直流电源、功率计和频谱分析仪,全部由MATLAB控制。功率计和直流电源用于测量被测器件的功率效率,而频谱分析仪可以通过测量邻接通道功率比或其他方法来评估器件的频谱扩展,从而评估器件的线性度。将使用测试平台创建和评估负载阻抗和波形优化的计算智能例程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A test platform for real-time waveform and impedance optimization in microwave radar systems
A test platform has been constructed at Baylor University to develop methods of simultaneous waveform and circuit optimization for cognitive radar. The ultimate goal of this work is to allow on-chip, simultaneous optimization of the waveform and the load impedance of the transmitter power amplifier from an FPGA cognitive-radio platform. The test bed includes a vector signal generator, load-pull tuners, a DC power supply, a power meter, and a spectrum analyzer, all controllable by MATLAB. The power meter and DC power supply are used to measure the power efficiency of the device under test, while the spectrum analyzer can be used to assess the spectral spreading, and hence linearity, of the device, through measurement of adjacent-channel power ratio or other means. Computationally intelligent routines for both load-impedance and waveform optimization will be created and evaluated using the test bed.
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