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A Generally Applicable Calibration Algorithm for Digitally Reconfigurable Self-Healing RFICs

机译:数字可重构自修复RFIC的通用校准算法

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摘要

A generally applicable calibration technique for digitally reconfigurable self-healing radio frequency integrated circuits based on a hybrid of the Nelder-Mead and Hooke-Jeeves direct search algorithms is presented. The proposed algorithm is applied to the multiobjective problem of gain error and phase error minimization for a self-healing phase rotator test case. For the 8-D phase rotator calibration problem, we show that the proposed hybrid Nelder-Mead and Hooke-Jeeves calibration algorithm is capable of reducing the gain error and phase error of the phase rotator output to less than a maximum of 0.5 dB and 2°, respectively, relative to the chosen gain and phase targets. A 3-GHz self-healing phase rotator test chip was fabricated in a 45-nm silicon-on-insulator CMOS process, and the measured data were obtained to validate the performance of the proposed calibration algorithm.
机译:提出了一种基于Nelder-Mead和Hooke-Jeeves直接搜索算法的混合技术的数字可重构自愈射频集成电路的通用校准技术。该算法适用于自修复相位旋转器测试用例的增益误差和相位误差最小化的多目标问题。对于8-D相位旋转器校准问题,我们表明,提出的混合Nelder-Mead和Hooke-Jeeves校准算法能够将相位旋转器输出的增益误差和相位误差减小到小于最大值0.5 dB和2分别相对于所选的增益和相位目标。在45 nm绝缘体上硅CMOS工艺中制造了3 GHz自愈相位旋转器测试芯片,并获得了测量数据以验证所提出的校准算法的性能。

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