Title :
Compressed multi-frequency RF sensing with photonic assistance
Author :
Yuyang Gao ; Yitang Dai ; Kun Xu ; Li Yan ; Feifei Yin ; Jianqiang Li ; Jintong Lin
Author_Institution :
State Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Multi-frequency RF signal ranging from 0 to 1 GHz is highly spectrally compressed and sensed. Precise recognition of up to 40 RF tones is achieved using a single ADC with analog bandwidth of 85.2 MHz.
Keywords :
analogue-digital conversion; compressed sensing; microwave photonics; military systems; ADC; RF signal compression; analog bandwidth; analog-digital convertor; compressed multifrequency RF sensing; photonic assistance; radiofrequency sensing; Bandwidth; Distance measurement; Optical filters; Photonics; RF signals; Radio frequency; Sensors;
Conference_Titel :
Lasers and Electro-Optics (CLEO), 2013 Conference on
Conference_Location :
San Jose, CA