title: Microwave spectral analysis based on photonic compressive sampling with random demodulation.
abstract: In this Letter, we present a photonic compressive sampling scheme based on optical sampling and random demodulation for microwave spectral analysis. A novel (to our knowledge) approach to realizing the multiplication of a pseudorandom binary sequence and the input microwave signal of interest in the optical domain is proposed, which largely simplifies the implementation of the compressive sampling. A spectrally sparse signal can be successfully captured by an electrical digitizer with a sampling rate much lower than the Nyquist rate with the help of random demodulation and the sparse reconstruction algorithm. Identification of the signals with multiple frequency components is successfully demonstrated.
authors.affiliation: Departement of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.
authors.forename: Hao
authors.initials: H
authors.lastname: Chi
authors.forename: Yuan
authors.initials: Y
authors.lastname: Mei
authors.forename: Ying
authors.initials: Y
authors.lastname: Chen
authors.forename: Donghui
authors.initials: D
authors.lastname: Wang
authors.forename: Shilie
authors.initials: S
authors.lastname: Zheng
authors.forename: Xiaofeng
authors.initials: X
authors.lastname: Jin
authors.forename: Xianmin
authors.initials: X
authors.lastname: Zhang