基于压缩感知微波光子阵列的超宽带信号测量方法研究

With the development of information technology, the distribution range of electromagnetic signal is becoming wider in frequency and spatial domain. How to obtain more information from the ultra-wideband signals is a big problem for the modern signal processing especially in the radar electronic reconnaissance field. Recently, a new technology called microwave photonic can overcome electronic sampling bottleneck, that gives the technology natural advantages in processing ultra-wideband signals, but the technology still exists problems of can’t instantaneous measure several signal components and low measuring precision. This project intend to reference the array signal processing technology based on the compressive sensing of the electronic field to solve the problems in the signal measurement research of the microwave photonic field. The project firstly build the microwave photonic array using optoelectronic devices, then it set up the microwave photonic frequency measurement and direction measurement algorithms, and the algorithm is solved with the compressive sensing theory. Through these three steps, a new algorithm for ultra-wideband signal information acquisition in spatial-frequency domain is proposed.

随着信息技术的发展，电磁信号在空域和频域上的分布范围日益增大，如何从这样的超宽带信号中获取更多的信息，是现代信号处理尤其是雷达电子侦察领域面临的重大问题。近年来新兴的微波光子技术由于能够克服“电子采样瓶颈”，在超宽带信号处理方面具有天然优势，但其在信号测量方面还存在着无法瞬时测量多个信号分量、估计精度低等问题。本项目拟借鉴电信号域基于压缩感知的阵列信号处理理论来解决微波光子信号测量面临的难题，通过构建基于光电器件的微波光子阵列，建立微波光子测频测向算法模型，并利用压缩感知求解算法模型，提出了超宽带微波信号空频域信息获取的新方法。

在超宽带频率范围内测量窄带信号分量的频率和波达角度信息是一项重要研究内容，该研究在军事及民用领域均具有广泛的应用前景。本项目针对微波光子瞬时测频测向进行了深入研究，重点研究了微波光子阵列模型和基于压缩感知的微波光子阵列测频测向算法，并通过软件仿真和硬件实验两方面对算法进行了验证与分析。本项目搭建的微波光子阵列测频光电器件系统可实现在6-30GHz频带范围内以平均误差0.04GHz瞬时测频。该项目的研究成果为超宽频带范围内窄带信号参数高精度测量提供了理论与算法支持。