Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 15,
  • Issue 1,
  • pp. 010012-
  • (2017)

Photonics-assisted compressive sampling system for wideband spectrum sensing (Invited Paper)

Not Accessible

Your library or personal account may give you access

Abstract

Compressive sampling (CS) has attracted considerable attention in microwave and radio frequency (RF) fields in recent years. It enables the acquisition of high-frequency signals at a rate much smaller than their Nyquist rates. Combined with photonics technology, traditional CS systems can significantly enlarge their operating bandwidth, which offers great potential for spectrum sensing in cognitive radios. In this Letter, we review our recent work on photonic CS systems for wideband spectrum sensing. First, a proof-of-concept photonics-assisted CS system is demonstrated; it is capable of acquiring numerous radar pulses in an instantaneous bandwidth spanning from 500 MHz to 5 GHz with a 500-MHz analog-to-digital converter (ADC). To further reduce the acquisition bandwidth, multi-channel photonics-assisted CS systems are proposed for the first time, enabling the acquisition of multi-tone signals with frequencies up to 5 GHz by using 120-MHz ADCs. In addition, the system bandwidth is increased from 5 to 20 GHz by employing time-interleaved optical sampling.

© 2016 Chinese Laser Press

PDF Article
More Like This
Compressive spectrum sensing of radar pulses based on photonic techniques

Qiang Guo, Yunhua Liang, Minghua Chen, Hongwei Chen, and Shizhong Xie
Opt. Express 23(4) 4517-4522 (2015)

Microwave spectrum sensing based on photonic time stretch and compressive sampling

Hao Chi, Ying Chen, Yuan Mei, Xiaofeng Jin, Shilie Zheng, and Xianmin Zhang
Opt. Lett. 38(2) 136-138 (2013)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.