Compressive sensing with a microwave photonic filter

Ying Chen, Xianbin Yu, Hao Chi, Shilie Zheng, Xianmin Zhang, Xiaofeng Jin, Michael Galili

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    In this letter, we present a novel approach to realizing photonics-assisted compressive sensing (CS) with the technique of microwave photonic fi ltering. In the proposed system, an input spectrally sparse signal to be captured and a random sequence are modulated on an optical carrier via two Mach – Zehnder modulators (MZMs). Therefore, the mixing process (the signal to be captured mixing with the random sequence) is realized in the optical domain. The mixed optical signal then propagates through a length of dispersive fi ber. As the double-sideband modulation in a dispersive optical link leads to a frequency- dependent power fading, low-pass fi ltering required in the CS is then realized. A proof-of-concept ex- periment for compressive sampling and recovery of a signal containing three tones at 310 MHz, 1 GHz and 2 GHz with a compression factor up to 10 is successfully demonstrated. More simulation results are also presented to recover signals within wider bandwidth and with more frequency components.
    Original languageEnglish
    JournalOptics Communications
    Volume338
    Pages (from-to)428-432
    ISSN0030-4018
    DOIs
    Publication statusPublished - 2015

    Keywords

    • Analog-to-digital converter (ADC)
    • Compressive sensing (CS)
    • Microwave photonic filter

    Fingerprint

    Dive into the research topics of 'Compressive sensing with a microwave photonic filter'. Together they form a unique fingerprint.

    Cite this