A spectrum sharing radar can be guided by a cognitive decision process to determine the optimal radar operating frequency as the spectral environment changes. This decision process utilizes spectrum sensing or spectral prediction to determine the optimal radar transmission for a given situation. The radar transmitter power amplifier performance varies with frequency and bandwidth of the applied waveform, thus adaptive impedance tuners are useful in maximizing the transmitted power and radar range as the transmission frequency range is varied. Since high power handling is required in radar transmissions, and mechanically actuated impedance tuners presently demonstrate the best power handling, the time required to tune is often orders of magnitude greater than the pulse repetition interval. As such, the relatively lengthy impedance tuning operations should be guided to maximize the average output power as the system transitions between different center frequencies, bandwidths, and waveforms over time. This article presents an algorithm that performs impedance tuning with an evanescent-mode cavity tuner based on an average performance gradient computed for multiple transmit pulses. Comparison of test results with traditionally measured amplifier load-pull data shows that the transmitter is effectively optimized for maximum average output power.

中文翻译：

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连续实时电路重新配置以最大化认知雷达发射机的平均输出功率


频谱共享雷达可以在认知决策过程的指导下确定频谱环境变化时的最佳雷达工作频率。该决策过程利用频谱感知或频谱预测来确定给定情况下的最佳雷达传输。雷达发射机功率放大器的性能随应用波形的频率和带宽而变化，因此自适应阻抗调谐器可用于在发射频率范围变化时最大化发射功率和雷达范围。由于雷达传输需要高功率处理，并且机械驱动阻抗调谐器目前表现出最佳的功率处理，因此调谐所需的时间通常比脉冲重复间隔大几个数量级。因此，当系统随时间在不同中心频率、带宽和波形之间转换时，应引导相对较长的阻抗调谐操作以最大化平均输出功率。本文提出了一种算法，该算法根据为多个发射脉冲计算的平均性能梯度，使用倏逝模式腔调谐器执行阻抗调谐。测试结果与传统测量的放大器负载牵引数据的比较表明，发射机针对最大平均输出功率进行了有效优化。