Paper
31 January 2013 Analysis of non-idealities of low-pass filter in random demodulator
Jingchao Zhang, Ning Fu, Wei Yu, Xiyuan Peng
Author Affiliations +
Proceedings Volume 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation; 87591Q (2013) https://doi.org/10.1117/12.2015006
Event: International Symposium on Precision Engineering Measurement and Instrumentation 2012, 2012, Chengdu, China
Abstract
Random Demodulator (RD) is a novel signal acquisition scheme based on compressed sensing (CS). It is able to acquire signals continuous in time and sparse in frequency at a sampling rate far below the Nyquist frequency. In the RD architecture, low-pass filter plays a role of anti-aliasing and is also the main part of the measurement matrix which should be characterized accurately. In this paper, we analyze the impact of the low-pass filter’s non-idealities. If the filter parameters deviate from their ideal values, there will be mismatch between the ideal impulse response used in the measurement matrix and the practical, which will degrade the reconstruction performance. The results show that with the increase of the degree of mismatch, the quality of signal reconstruction, measured by signal to noise ratio (SNR), declines. The results suggest accurate calibration is needed in practical use.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingchao Zhang, Ning Fu, Wei Yu, and Xiyuan Peng "Analysis of non-idealities of low-pass filter in random demodulator", Proc. SPIE 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation, 87591Q (31 January 2013); https://doi.org/10.1117/12.2015006
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Linear filtering

Analog electronics

Filtering (signal processing)

Signal to noise ratio

Signal processing

Detection theory

Compressed sensing

RELATED CONTENT

Digital Monitor
Proceedings of SPIE (August 16 1983)
Audio Frequency Dsp Laboratory On A Chip - TMS32010
Proceedings of SPIE (January 01 1987)
Signal Processing Technology Overview
Proceedings of SPIE (July 30 1982)

Back to Top