Skip to main content
SpringerLink
Log in
Book cover

Recent Advances in Computer Science and Information Engineering pp 141–147Cite as

Mechanics Analysis on Set Membership Evaluation of Real-Virtual Sensor-Based on Multi-layer Fusion

  • Chapter

  • 150 Accesses

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 124))

Abstract

In order to make the parameter interval to be estimated more compact, the multi-layer fusion technology of real-virtual sensor is used for reducing the error interval of comprehensive target measuring characteristics. At the same time, the algorithm mechanism is comprehensively analyzed, and the multi-sensor measurement noise correlation on the fusion performance is qualitatively analyzed also. The simulation results show that this method can reduce the noise impact, and thus improve system accuracy.

This is a preview of subscription content, 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   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zhai, S., Dai, Y.: Study of adaptive weighted estimate algorithm of multi-sensor data fusion. Acta Metrologica Sinica 19(1), 69–75 (1998)

    Google Scholar 

  2. He, Q., Wang, Y., Tong, D.: Study of estimate algorithm of multi-sensor data fusion. Journal of Electronic Measurement and Instrument 16(2), 15–18 (2002)

    Google Scholar 

  3. He, Q.: Set membership estimate theory way and application study. Hunan University (2002)

    Google Scholar 

  4. Tong, D., Ouyang, H., Lu, X.: Multi-Layer Fusion Algorithm of Real and Virtual Sensor Information. Journal of Hunan University (Natural Science) 31(5), 59–61 (2004)

    Google Scholar 

  5. Wang, Y., Zhang, H., Li, Q.: Multi-sensor Data Fusion Technology. Infrared Technology 19(2), 34–36 (1997)

    Google Scholar 

  6. Bai, Y., Jiu, H., Wen, R.: Data fusion technology application based on least square. Technology and Innovation Management 29(2), 200–202 (2008)

    Google Scholar 

  7. Wang, W., Cai, J.: MIMO system parameter Set membership identification algorith. Journal of Control Theory and Applications 14(3), 15–20 (1997)

    MATH  MathSciNet  Google Scholar 

  8. Liang, L., Zhong, M.: A Survey of the Set Membership Identification. Techniques of Automation and Applications 26(11), 7–9 (2007)

    Google Scholar 

  9. Chen, J., Ma, L., Chen, L.: Analysis of the Influence of Multi-sensor Measurement Noises on the Performance of Track-to-track Fusion. Fire Control Comm. and Control 35(7), 123–125 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, 341000, P.R. China

    Liming Liang, Haihua Zheng & Mengsen Wan

Authors
  1. Liming Liang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Haihua Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mengsen Wan
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, 130012, Jilin, China, People’s Republic

    Zhihong Qian

  2. Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, 38677, Mississippi, Mississippi, USA

    Lei Cao

  3. Department of Electrical and Computer Eng., Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, 93943-5121, Monterey, California, USA

    Weilian Su

  4. Faculty of Computing, London Metropolitan University, Holloway Road 166-220, N7 8DB, London, United Kingdom

    Tingkai Wang

  5. College of Software, Changchun University of Science and Tech., Changchun, 130022, Jilin, China, People’s Republic

    Huamin Yang

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Liang, L., Zheng, H., Wan, M. (2012). Mechanics Analysis on Set Membership Evaluation of Real-Virtual Sensor-Based on Multi-layer Fusion. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25781-0_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25781-0_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25780-3

  • Online ISBN: 978-3-642-25781-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation