A novel Sub-Nyquist sampling of sparse wideband signals

Chia Hua Lin; Shang-Ho Tsai; Gene C.H. Chuang

doi:10.1109/ICASSP.2013.6638537

A novel Sub-Nyquist sampling of sparse wideband signals

Chia Hua Lin, Shang-Ho Tsai, Gene C.H. Chuang

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

We propose a Sub-Nyquist sampling scheme using only one mixer, one filter bank with M subfilters and M low rate ADCs. Compared to the MWC (Modulated Wideband Converter) system in [1], the proposed sampling system has several complexity advantages. First, due to the use of only one mixer, the hardware complexity for analog circuits is significantly reduced. Moreover, the system only needs one PN sequence and thus the search complexity for the best sequence is greatly reduced. The use of the best sequence enables the proposed system to achieve a smaller mean square error (MSE) between the original and the reconstructed signals than that of the MWC system. Simulation results are provided to show the performance superiority of the proposed system in terms of MSE and recovery percentage.

Original language	English
Title of host publication	2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages	4628-4632
Number of pages	5
DOIs	https://doi.org/10.1109/ICASSP.2013.6638537
State	Published - 18 Oct 2013
Event	2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada Duration: 26 May 2013 → 31 May 2013

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/Territory	Canada
City	Vancouver, BC
Period	26/05/13 → 31/05/13

Keywords

Compressive sensing (CS)
modulated wideband converter (MWC)
random demodulator (RD)
spectrum blind reconstruction
sub-Nyquist sampling

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10.1109/ICASSP.2013.6638537

Cite this

Lin, C. H., Tsai, S.-H., & Chuang, G. C. H. (2013). A novel Sub-Nyquist sampling of sparse wideband signals. In 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings (pp. 4628-4632). Article 6638537 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2013.6638537

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title = "A novel Sub-Nyquist sampling of sparse wideband signals",

abstract = "We propose a Sub-Nyquist sampling scheme using only one mixer, one filter bank with M subfilters and M low rate ADCs. Compared to the MWC (Modulated Wideband Converter) system in [1], the proposed sampling system has several complexity advantages. First, due to the use of only one mixer, the hardware complexity for analog circuits is significantly reduced. Moreover, the system only needs one PN sequence and thus the search complexity for the best sequence is greatly reduced. The use of the best sequence enables the proposed system to achieve a smaller mean square error (MSE) between the original and the reconstructed signals than that of the MWC system. Simulation results are provided to show the performance superiority of the proposed system in terms of MSE and recovery percentage.",

keywords = "Compressive sensing (CS), modulated wideband converter (MWC), random demodulator (RD), spectrum blind reconstruction, sub-Nyquist sampling",

author = "Lin, {Chia Hua} and Shang-Ho Tsai and Chuang, {Gene C.H.}",

year = "2013",

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booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",

note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",

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Lin, CH, Tsai, S-H & Chuang, GCH 2013, A novel Sub-Nyquist sampling of sparse wideband signals. in 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings., 6638537, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 4628-4632, 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, 26/05/13. https://doi.org/10.1109/ICASSP.2013.6638537

A novel Sub-Nyquist sampling of sparse wideband signals. / Lin, Chia Hua; Tsai, Shang-Ho; Chuang, Gene C.H.
2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. 2013. p. 4628-4632 6638537 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tsai, Shang-Ho

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PY - 2013/10/18

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N2 - We propose a Sub-Nyquist sampling scheme using only one mixer, one filter bank with M subfilters and M low rate ADCs. Compared to the MWC (Modulated Wideband Converter) system in [1], the proposed sampling system has several complexity advantages. First, due to the use of only one mixer, the hardware complexity for analog circuits is significantly reduced. Moreover, the system only needs one PN sequence and thus the search complexity for the best sequence is greatly reduced. The use of the best sequence enables the proposed system to achieve a smaller mean square error (MSE) between the original and the reconstructed signals than that of the MWC system. Simulation results are provided to show the performance superiority of the proposed system in terms of MSE and recovery percentage.

AB - We propose a Sub-Nyquist sampling scheme using only one mixer, one filter bank with M subfilters and M low rate ADCs. Compared to the MWC (Modulated Wideband Converter) system in [1], the proposed sampling system has several complexity advantages. First, due to the use of only one mixer, the hardware complexity for analog circuits is significantly reduced. Moreover, the system only needs one PN sequence and thus the search complexity for the best sequence is greatly reduced. The use of the best sequence enables the proposed system to achieve a smaller mean square error (MSE) between the original and the reconstructed signals than that of the MWC system. Simulation results are provided to show the performance superiority of the proposed system in terms of MSE and recovery percentage.

KW - Compressive sensing (CS)

KW - modulated wideband converter (MWC)

KW - random demodulator (RD)

KW - spectrum blind reconstruction

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ER -

A novel Sub-Nyquist sampling of sparse wideband signals

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