Title :
Broadband & accurate multi-component RF sensing by photonic compressive sampling
Author :
Li Yan ; Yitang Dai ; Kun Xu ; Yuefeng Ji ; Jintong Lin
Author_Institution :
State Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
We report for the first time the accurate recovery of as many as nine radio-frequency (RF) components with unknown carriers in the range of 5 to 10 GHz. The maximum error of frequency estimation is 49 kHz. With photonics-assisted compressive sampling (CS), the Nyquist bandwidth of the employed analog-to-digital convertor (ADC) is only one sixth of the RF band under monitoring, which is 826.75 MHz. The integrated downconversion of interested component shows enhanced signal-to-noise ratio (SNR), which can be beneficial to further high-resolution digitizing and real-time processing.
Keywords :
analogue-digital conversion; compressed sensing; frequency estimation; microwave photonics; optical frequency conversion; Nyquist bandwidth; RF band; analog-to-digital convertor; frequency 5 GHz to 10 GHz; frequency 826.75 MHz; high-resolution digitizing; integrated downconversion; multicomponent RF sensing; photonic compressive sampling; photonics-assisted compressive sampling; radio-frequency components; real-time processing; signal-to-noise ratio; Bandwidth; Optical pulses; Optical sensors; Photonics; Radio frequency; Signal resolution; Signal to noise ratio; optical signal processing; radio frequency photonics;
Conference_Titel :
Microwave Photonics (MWP), 2012 International Topical Meeting on
Conference_Location :
Noordwijk
Print_ISBN :
978-1-4673-2863-0
DOI :
10.1109/MWP.2012.6474122
