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Heterogeneous Data Fusion Model for Passive Object Localization

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Advances in Wireless Sensor Networks (CWSN 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 501))

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Abstract

The passive object localization problemPOLPaims to detect the location of the target. This task requires the target does not have any device to receive signal or transfer. The sensor fusion model for localization is more popular, such as the Kalman Filter(KF). In this paper, an novel fusion model based on the KF is used in fusing some parameters, like the RSSI(Receive Signal Strength Index), infrared data and ultrasound data, which are come from the measurements. The proposed fusion model can promote the accuracy of localization, and provides the higher available of localization. The simulation result have proved that the proposed methods is adequate to the passive localization, compared with other traditional methods, the localization accuracy is greatly improved.

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Acknowledgement

This research was supported in part by China NSFC Grants (61170218 and 61272461), the National Key Technology R & D Program (2013BAK01B02), Department of Education research project of Shaanxi province, China (2013JK1126, 2013JK1127), and the Natural Science Foundation of Northwest University (12NW05).

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Authors and Affiliations

  1. School of Information Science and Technology, Northwest University, Xian, 710127, China

    Tianzhang Xing, Binbin Xie, Liqiong Chang, Xiaojiang Chen & Dingyi Fang

Authors
  1. Tianzhang Xing
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  2. Binbin Xie
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  3. Liqiong Chang
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  4. Xiaojiang Chen
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  5. Dingyi Fang
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Corresponding author

Correspondence to Xiaojiang Chen .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Limin Sun

  2. Beijing, China

    Huadong Ma

  3. Northwest University, Xi’an, China

    Dingyi Fang

  4. Northwest University, Xi’an, China

    Jinping Niu

  5. Northwest University, Xi’an, China

    Wei Wang

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© 2015 Springer-Verlag Berlin Heidelberg

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Xing, T., Xie, B., Chang, L., Chen, X., Fang, D. (2015). Heterogeneous Data Fusion Model for Passive Object Localization. In: Sun, L., Ma, H., Fang, D., Niu, J., Wang, W. (eds) Advances in Wireless Sensor Networks. CWSN 2014. Communications in Computer and Information Science, vol 501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46981-1_23

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  • DOI: https://doi.org/10.1007/978-3-662-46981-1_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46980-4

  • Online ISBN: 978-3-662-46981-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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