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GA Tuned Kalman Filter for Precise Positioning

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Microelectronics, Electromagnetics and Telecommunications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 655))

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Abstract

The Global Positioning System (GPS) plays a predominant role in various navigation applications; their precise position values are required. Kalman filter (KF) is a navigation solution, used to predict and estimate the anonymous state by suppressing the noise existing in aviation control systems. However, the effect is more susceptible to parameters of KF, whose choice purely based on previous experience of an operator. In this paper, the genetic algorithm (GA)-based KF approach is presented. GA technique is used to optimize the covariance values of error in initial state, measurement noise and process noise. For experimental validation, the data collected at Andhra University, Visakhapatnam, is used which is located at (706,970.9093, 6,035,941.0226 and 1,930,009.5821) (m).

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References

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Andhra University College of Engineering (A), Andhra University, Visakhapatnam, Andhra Pradesh, 530003, India

    Nalineekumari Arasavali & G. Sasibhushana Rao

  2. Department of Electronics and Communication Engineering, Raghu Engineering College (A), Visakhapatnam, Andhra Pradesh, 531162, India

    N. Ashok Kumar

Authors
  1. Nalineekumari Arasavali
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  2. G. Sasibhushana Rao
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  3. N. Ashok Kumar
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Corresponding author

Correspondence to Nalineekumari Arasavali .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Raghu Institute of Technology, Visakhapatnam, Andhra Pradesh, India

    P. Satish Rama Chowdary

  2. Department of Electronics and Communication Engineering, Raghu Institute of Technology, Visakhapatnam, Andhra Pradesh, India

    V.V.S.S.S. Chakravarthy

  3. Department of Electronics and Telecommunication Engineering, Universitat Ramon Llull, Barcelona, Spain

    Jaume Anguera

  4. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  5. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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Arasavali, N., Sasibhushana Rao, G., Ashok Kumar, N. (2021). GA Tuned Kalman Filter for Precise Positioning. In: Chowdary, P., Chakravarthy, V., Anguera, J., Satapathy, S., Bhateja, V. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 655. Springer, Singapore. https://doi.org/10.1007/978-981-15-3828-5_30

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  • DOI: https://doi.org/10.1007/978-981-15-3828-5_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3827-8

  • Online ISBN: 978-981-15-3828-5

  • eBook Packages: EngineeringEngineering (R0)

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