Han Weiwei, Liu Zhihui, Xu Yifu, Tan Mengxi, Li Yuhua, Zhu Xiaotian, Ou Yanni, Yin Feifei, Morandotti Roberto, Little Brent E, Chu Sai Tak, Xu Xingyuan, Moss David J, Xu Kun
Opt Express. 2024 Mar 25;32(7):11281-11295. doi: 10.1364/OE.519235.
We report a dual-polarization radio frequency (RF) channelizer based on microcombs. Two high-Q micro-ring resonators (MRRs) with slightly different free spectral ranges (FSRs) are used: one MRR is pumped to yield soliton crystal microcombs ("active"), and the other MRR is used as a "passive" periodic optical filter supporting dual-polarization operation to slice the RF spectrum. With the tailored mismatch between the FSRs of the active and passive MRRs, wideband RF spectra can be channelized into multiple segments featuring digital-compatible bandwidths via the Vernier effect. Due to the use of dual-polarization states, the number of channelized spectral segments, and thus the RF instantaneous bandwidth (with a certain spectral resolution), can be doubled. In our experiments, we used 20 microcomb lines with ∼ 49 GHz FSR to achieve 20 channels for each polarization, with high RF spectra slicing resolutions at 144 MHz (TE) and 163 MHz (TM), respectively; achieving an instantaneous RF operation bandwidth of 3.1 GHz (TE) and 2.2 GHz (TM). Our approach paves the path towards monolithically integrated photonic RF receivers (the key components - active and passive MRRs are all fabricated on the same platform) with reduced complexity, size, and unprecedented performance, which is important for wide RF applications with digital-compatible signal detection.
我们报道了一种基于微梳的双偏振射频(RF)信道化器。使用了两个自由光谱范围(FSR)略有不同的高Q微环谐振器(MRR):一个MRR被泵浦以产生孤子晶体微梳(“有源”),另一个MRR用作支持双偏振操作的“无源”周期性光学滤波器,以对RF频谱进行切片。通过有源和无源MRR的FSR之间的定制失配,宽带RF频谱可以通过游标效应被信道化为多个具有数字兼容带宽的段。由于使用了双偏振态,信道化频谱段的数量,以及因此RF瞬时带宽(具有一定的频谱分辨率)可以加倍。在我们的实验中,我们使用了具有约49GHz FSR的20条微梳线,分别在TE和TM模式下实现了每个偏振20个信道,具有144MHz(TE)和163MHz(TM)的高RF频谱切片分辨率;实现了3.1GHz(TE)和2.2GHz(TM)的瞬时RF操作带宽。我们的方法为单片集成光子RF接收器(关键组件——有源和无源MRR都在同一平台上制造)铺平了道路,降低了复杂性、尺寸并具有前所未有的性能,这对于具有数字兼容信号检测的广泛RF应用很重要。