Skip to main content
SpringerLink
Log in

Spectrum Sensing Based on Modulated Wideband Converter with CoSaMP Reconstruction Algorithm

  • Conference paper
  • First Online:
Wireless Internet (WICON 2016)

Included in the following conference series:

Abstract

Modulated Wideband Converter (MWC) provides a sub-Nyquist sampling approach for wideband spectrum sensing. In previous studies, reconstruction algorithm, OMP (Orthogonal Matching Pursuit) is used in the CTF (continuous-to-finite) block of MWC for frequency support recovery. However, the percentage of correct support recovery is low at low SNR (Signal Noise Ratio) using OMP algorithm. In this paper, the reconstruction algorithm of CoSaMP (Compressive Sampling Matching Pursuit) is investigated to be used in the CTF block instead of OMP. Simulation results demonstrate that such a proposal can achieve higher percentage of correct support recovery than with OMP algorithm.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mitola III., J.: Cognitive radio for flexible mobile multimedia communications. J. Mob. Netw. Appl. 6(5), 435–441 (2001)

    Google Scholar 

  2. Yücek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. J. IEEE Commun. Surv. Tutor. 11(1), 116–130 (2009)

    Article  Google Scholar 

  3. Mishali, M., Eldar, Y.C., Dounaevsky, O., et al.: Xampling: analog to digital at sub-nyquist rates. J. IET Circuits Dev. Syst. 5(1), 8–20 (2011)

    Article  Google Scholar 

  4. Mishali, M., Eldar, Y.C.: From theory to practice: sub-nyquist sampling of sparse wideband analog signals. IEEE J. Sel. Top. Signal Process. 4(2), 375–391 (2015)

    Article  Google Scholar 

  5. Donoho, D.L.: Compressed sensing. IEEE Trans. Inform. Theory. 52(4), 1289–1306 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  6. Mishali, M., Eldar, Y.C.: Blind multi-band signal reconstruction: compressed sensing for analog signals. IEEE Trans. Signal Process. 57(3), 993–1009 (2009)

    Article  MathSciNet  Google Scholar 

  7. Pati, Y.C., Rezaiifar, R., Krishnaprasad, P.S.: Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition. In: Proceedings of Conference on Recommendation 27th Asilomar Conference on Signals, Systems and Computers, pp. 40–44 (1993)

    Google Scholar 

  8. Yang, Z.Z., Yang, Z., Sun, L.H.: A survey on orthogonal matching pursuit type algorithms for signal compression and reconstruction. J. Signal Process. 29(4), 486–496 (2013)

    Google Scholar 

  9. Tropp, J.A., Gilbert, A.C.: Signal recovery from random measurements via orthogonal matching pursuit. IEEE Trans. Inform. Theory. 53(12), 4655–4666 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  10. Needell, D., Tropp, J.A.: CoSaMP: iterative signal recovery from incomplete and inaccurate samples. J. Appl. Comput. Harmon. Anal. 26(3), 301–321 (2009)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

This paper was supported by the National Natural Science Foundation of China (Grant No. 61561017 and Grant No. 61261024), National Science & Technology Pillar Program (Grant No. 2014BAD10B04), and Hainan Province Major Science & Technology Project (Grant No. ZDKJ2016015).

Author information

Authors and Affiliations

  1. State Key Lab of Marine Resource Utilization in South China Sea, College of Information Science and Technology, Hainan University, 58 Renmin Ave, Haikou, 570228, Hainan, China

    Minglei Tong & Yong Bai

Authors
  1. Minglei Tong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yong Bai
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yong Bai .

Editor information

Editors and Affiliations

  1. Hainan University, Hainan, China

    Mengxing Huang

  2. Simula Research Laboratory, Fornebu, Norway

    Yan Zhang

  3. Northeast Forestry University, Harbin, Heilongjiang, China

    Weipeng Jing

  4. Guangdong University of Petrochemical Technology, Maoming Shi, China

    Amjad Mehmood

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Tong, M., Bai, Y. (2018). Spectrum Sensing Based on Modulated Wideband Converter with CoSaMP Reconstruction Algorithm. In: Huang, M., Zhang, Y., Jing, W., Mehmood, A. (eds) Wireless Internet. WICON 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 214. Springer, Cham. https://doi.org/10.1007/978-3-319-72998-5_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-72998-5_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72997-8

  • Online ISBN: 978-3-319-72998-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation