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IOT-Based Injection-Locked Microwave Photonic Frequency Division Signal Processing
Mobile Information Systems ( IF 1.863 ) Pub Date : 2022-9-27 , DOI: 10.1155/2022/1351399
Lin Wang 1 , Guangying Wang 2 , Jingxu Chen 2
Affiliation  

When building an injection-locked microwave photonic frequency division signal processing model for the Internet of Things, the waveform and frequency of the microwave have an important impact on its performance. How to optimize and adjust the injection-locked microwave photonic frequency division signal processing effect needs more research and exploration. Taking the traditional mode architecture as a reference, this paper constructs an injection-locked microwave photonic frequency division signal processing model based on the Internet of Things. In this paper, the popular deep analysis method is used to optimize the model, and the photonic technology is matched with the microwave analysis. The purpose of this construction is to weaken the microwave integration error and improve the calculation accuracy to a higher level. In addition, aiming at the difficult problem of microwave signal generation, this paper uses the optical injection method to lock the microwave photons and generate waveform signals, which makes the model data more representative, so as to solve the problems of unstable microwave signals and high transmission costs. This paper also discusses the possibility of microwave photon filtering and frequency division signal processing of microwaves. The optimal solution is determined by analyzing the experimental results of various technical means, thus proving that the injection-locked microwave photonic frequency division signal processing means has better stability and a higher fitting degree.

中文翻译:

基于物联网的注入锁定微波光子频分信号处理

在构建物联网注入锁定微波光子分频信号处理模型时,微波的波形和频率对其性能有重要影响。如何优化和调整注入锁定的微波光子分频信号处理效果需要更多的研究和探索。本文以传统模式架构为参考,构建了基于物联网的注入锁定微波光子频分信号处理模型。本文采用流行的深度分析方法对模型进行优化,将光子技术与微波分析相匹配。这种构造的目的是削弱微波积分误差,将计算精度提高到一个更高的水平。此外,针对微波信号产生的难题,本文采用光注入方法锁定微波光子并产生波形信号,使模型数据更具代表性,从而解决微波信号不稳定、传输成本高等问题。本文还讨论了微波光子滤波和微波分频信号处理的可能性。通过分析各种技术手段的实验结果确定最优解,证明注入锁定的微波光子分频信号处理手段具有更好的稳定性和更高的拟合度。使模型数据更具代表性,从而解决微波信号不稳定、传输成本高等问题。本文还讨论了微波光子滤波和微波分频信号处理的可能性。通过分析各种技术手段的实验结果确定最优解,证明注入锁定的微波光子分频信号处理手段具有更好的稳定性和更高的拟合度。使模型数据更具代表性,从而解决微波信号不稳定、传输成本高等问题。本文还讨论了微波光子滤波和微波分频信号处理的可能性。通过分析各种技术手段的实验结果确定最优解,证明注入锁定的微波光子分频信号处理手段具有更好的稳定性和更高的拟合度。
更新日期:2022-09-27
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