Tunable Multiband Microwave Photonic Filters
Tunable Multiband Microwave Photonic Filters
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DOI：
10.3390/photonics4040045
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发表时间：
2017-11
期刊：
影响因子：
2.4
通讯作者：
M. Fok;Jia Ge
中科院分区：
文献类型：
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作者：
M. Fok;Jia Ge
人们对多功能设备的需求不断增加，利用认知无线技术解决频率资源短缺问题，以及满足不断变化的环境所需的能力和操作灵活性，都迫切需要多频段无线通信。频谱滤波器是任何通信系统中必不可少的部分，并且在多频带无线通信的情况下，需要可调谐多频带RF滤波器来进行信道选择、噪声/干扰去除和RF信号处理。不幸的是，RF电子学很难实现可调谐和多频带光谱滤波。微波光子学的最新进展已被证明是解决包括频谱滤波在内的RF电子学中的各种挑战的有希望的候选者，然而，由于现有微波光子方案的可扩展性和可调谐性有限，多频带微波光子滤波的发展仍然面临许多困难。在这篇综述论文中，我们首先讨论了多频带微波光子滤波器所面临的挑战，然后我们回顾了最近的技术，已经开发出的挑战，并导致有前途的发展可调谐微波光子多频带滤波器。可调谐微波光子多频带滤波器的成功设计和实现促进了商业、国防和民用应用的动态多频带无线通信和射频信号处理的愿景。
The increasing demand for multifunctional devices, the use of cognitive wireless technology to solve the frequency resource shortage problem, as well as the capabilities and operational flexibility necessary to meet ever-changing environment result in an urgent need of multiband wireless communications. Spectral filter is an essential part of any communication systems, and in the case of multiband wireless communications, tunable multiband RF filters are required for channel selection, noise/interference removal, and RF signal processing. Unfortunately, it is difficult for RF electronics to achieve both tunable and multiband spectral filtering. Recent advancements of microwave photonics have proven itself to be a promising candidate to solve various challenges in RF electronics including spectral filtering, however, the development of multiband microwave photonic filtering still faces lots of difficulties, due to the limited scalability and tunability of existing microwave photonic schemes. In this review paper, we first discuss the challenges that were facing by multiband microwave photonic filter, then we review recent techniques that have been developed to tackle the challenge and lead to promising developments of tunable microwave photonic multiband filters. The successful design and implementation of tunable microwave photonic multiband filter facilitate the vision of dynamic multiband wireless communications and radio frequency signal processing for commercial, defense, and civilian applications.