Active metamaterials embedded with nonlinear elements are able to exhibit strong nonlinearity in microwave regime.However, existing S-parameter based parameter retrieval approaches developed for linear metamaterials d...Active metamaterials embedded with nonlinear elements are able to exhibit strong nonlinearity in microwave regime.However, existing S-parameter based parameter retrieval approaches developed for linear metamaterials do not apply in nonlinear cases. In this paper, a retrieval algorithm of high-order susceptibilities for nonlinear metamaterials is derived.Experimental demonstration shows that, by measuring the power level of each harmonic while sweeping the incident power,high-order susceptibilities of a thin-layer nonlinear metamaterial can be effectively retrieved. The proposed approach can be widely used in the research of active metamaterials.展开更多
文摘提出基于三步旋转机制的高精度低时延坐标旋转数字计算机(CORDIC)算法.该算法通过对输入角度进行二极化重编码来免除剩余旋转角度的运算,利用三步旋转机制对迭代次数进行压缩,结合合并迭代技术进一步减少迭代次数,降低输出时延.以16位输出位宽为例,对三步旋转CORDIC算法和流水线迭代式算法进行实现,仿真结果表明:三步旋转CORDIC算法与流水线迭代式算法相比,改善了输出精度,输入到输出的时延降低了75%,硬件开销下降了29.2%.基于三步旋转CORDIC算法,实现了相位累加器位宽为24的直接数字频率综合器(DDFS);使用加法树结构对多输入加法器进行优化,以提高电路工作频率.仿真结果表明,该算法的最大幅度误差为8.24×10^-6,输出时延为38.5 ns.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.61401395 and 61604128)the Scientific Research Fund of Zhejiang Provincial Education Department,China(Grant No.Y201533913)the Fundamental Research Funds for the Central Universities,China(Grant Nos.2016QNA4025 and 2016QN81002)
文摘Active metamaterials embedded with nonlinear elements are able to exhibit strong nonlinearity in microwave regime.However, existing S-parameter based parameter retrieval approaches developed for linear metamaterials do not apply in nonlinear cases. In this paper, a retrieval algorithm of high-order susceptibilities for nonlinear metamaterials is derived.Experimental demonstration shows that, by measuring the power level of each harmonic while sweeping the incident power,high-order susceptibilities of a thin-layer nonlinear metamaterial can be effectively retrieved. The proposed approach can be widely used in the research of active metamaterials.
