DocumentCode
3561141
Title
Signal Acquisition of High-Speed Periodic Signals Using Incoherent Sub-Sampling and Back-End Signal Reconstruction Algorithms
Author
Choi, Hyun ; Gomes, Alfred V. ; Chatterjee, Abhijit
Author_Institution
Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
19
Issue
7
fYear
2011
fDate
7/1/2011 12:00:00 AM
Firstpage
1125
Lastpage
1135
Abstract
This paper presents a high-speed periodic signal acquisition technique using incoherent sub-sampling and back-end signal reconstruction algorithms. The signal reconstruction algorithms employ a frequency domain analysis for frequency estimation, and suppression of jitter-induced sampling noise. By switching the sampling rate of a digitizer, the analog frequency value of the sampled signal can be recovered. The proposed signal reconstruction uses incoherent sub-sampling to reduce hardware complexity. The results of simulation and hardware experiments indicate that the proposed signal reconstruction algorithms are able to reconstruct multi-tone high-speed periodic signals in the discrete time domain. The new signal acquisition technique simplifies signal acquisition hardware for testing and characterization of high-speed analog and digital signals.
Keywords
frequency estimation; frequency-domain analysis; jitter; signal detection; signal reconstruction; signal sampling; analog frequency value; back-end signal reconstruction algorithm; frequency domain analysis; frequency estimation; high-speed periodic signal acquisition; incoherent subsampling algorithm; jitter-induced sampling noise suppression; Circuits; Clocks; Delay lines; Frequency domain analysis; Hardware; Sampling methods; Signal reconstruction; Signal sampling; Testing; Timing; Incoherent sub-sampling; signal reconstruction;
fLanguage
English
Journal_Title
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher
ieee
Conference_Location
6/10/2010 12:00:00 AM
ISSN
1063-8210
Type
jour
DOI
10.1109/TVLSI.2010.2048135
Filename
5483138
Link To Document