光子学压缩感知技术研究进展

压缩感知是近来发展的一种新型的信号获取方法。根据压缩感知理论，频域稀疏信号可以以远低于奈奎斯特定律所规定的采样率进行采样和高精度的恢复。压缩感知在宽带信号获取中的应用将有利于降低对模数转换器的要求。最近，利用光子学技术实现基于压缩感知的稀疏信号获取引起了相关领域的广泛兴趣。光子学技术及其相关器件的应用可以大大提高系统的带宽，使得光子学压缩感知成为超宽带稀疏信号获取的一种很有前景的方法。本文综述了光子学压缩感知技术在稀疏信号获取中应用的研究进展，并给出一些研究成果。

Research Progress of Photonics Assisted Compressive Sensing

Compress sensing (CS) is a recently developed approach for the acquisition of sparse signals. According to the CS theory, a spectrally sparse signal can be sampled with a sampling rate far lower than that required by the Nyquist theorem and recovered with a high resolution. Application of CS in the field of wideband signals acquisition is highly desirable as the sampling rate of analog todigital converters (ADCs) can be greatly lowered. More recently, CS for sparse signal acquisition based on photonic techniques has attracted much interest. The photonic techniques and components help to enlarge bandwidth. It makes the photonics assisted CS a promising method for the ultra wideband sparse signals acquisition. The recent developments of the photonics assisted CS in the application of sparse signal acquisition are reviewed. Research achievements by our group are also presented.