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Single Observer Passive Location Using Phase Difference Rate

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Practical Applications of Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 279))

Abstract

In single observer passive location system, traditional filtering algorithm for nonlinear system is Extended Kalman Filtering (EKF), which is usually affected by initial values and measurement noise of passive tracking. In order to overcome the disadvantages of EKF, we present an improved Modified Variance Extended Kalman Filter (MVEKF) method in single observer passive location system, using phase difference rate. Simulation results show that it can effectively restrict the measurement noise, being less affected by initial values. Furthermore, there is no need for searching observables modifiable function, so the proposed MVEKF is more accurate and useful than EKF in single observer passive location.

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Acknowledgment

This work was financially supported by the Hunan Provincial Natural Science Foundation of China (12JJ2040), the Research Foundation of Education Committee of Hunan Province, China (09A046, 11C0701, 13C435), the Construct Program of the Key Discipline in Hunan Province, China, the Aid program for Science and Technology Innovative Research Team in Higher Educational Institute of Hunan Province, and the Planned Science and Technology Project of Loudi City, Hunan Province, China.

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Authors and Affiliations

  1. Department of Communication and Control Engineering, Hunan University of Humanities, Science and Technology, Hunan, China

    Yun Cheng

  2. Hunan University of Humanities, Science and Technology, Hunan, China

    Taoyun Zhou & Tiebin Wu

Authors
  1. Taoyun Zhou
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  2. Yun Cheng
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  3. Tiebin Wu
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Corresponding author

Correspondence to Yun Cheng .

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Editors and Affiliations

  1. College of Computer and Software Engineering, Shenzhen University, Shenzhen, China

    Zhenkun Wen

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Zhou, T., Cheng, Y., Wu, T. (2014). Single Observer Passive Location Using Phase Difference Rate. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_40

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  • DOI: https://doi.org/10.1007/978-3-642-54927-4_40

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54926-7

  • Online ISBN: 978-3-642-54927-4

  • eBook Packages: EngineeringEngineering (R0)

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