Underwater Bearings-Only Passive Target Tracking Using Estimate Fusion Technique

Authors

  • D.V.A.N.Ravi Kumar Department of Electronics and Communications Engineering, Gayatri Vidya Parishad College of Engineering for Women , Affiliated to Jawaharlal Nehru Technological University, Kakinada, India
  • S.Koteswara Rao Department of Electrical and Electronics Engineering, Kalasalingam University, Vijayawada, India
  • K.Padma Raju Department of Electronics and Communications Engineering, Jawaharlal Nehru Technological University, Kakinada, India

Keywords:

Estimate Fusion Technique, Bearings–Only Passive Target Tracking, Towed Array, Extended Kalman Filter, Unscented Kalman Filter

Abstract

Estimate Fusion Technique(EFT) for Bearings–Only passive target tracking involves a process of estimating the state of a moving target by fusing the estimates given by different Nonlinear estimators which are driven by different Bearing measurements supplied by towed array. The estimates are fused with the help of a Weighted Least squares Estimator. This novel method has an advantage over the traditional nonlinear Estimators such as the Extended Kalman Filter (EKF) and Unscented Kalman Filter(UKF) in terms of estimation errors which is proved in this paper by performing simulation in Matlab R2009a for a wartime scenario.

Author Biographies

  • D.V.A.N.Ravi Kumar, Department of Electronics and Communications Engineering, Gayatri Vidya Parishad College of Engineering for Women , Affiliated to Jawaharlal Nehru Technological University, Kakinada, India

    Assistant Professor

    electronics and communications engineering,

     

  • S.Koteswara Rao, Department of Electrical and Electronics Engineering, Kalasalingam University, Vijayawada, India

    senior professor,

    electrical and electronics engineering.

  • K.Padma Raju, Department of Electronics and Communications Engineering, Jawaharlal Nehru Technological University, Kakinada, India

    Professor,

    Electronics and communications engineering

References

RISTICK, B., ARULAMPALEM, S. and GORDON, N. Beyond the Kalman Filter–Particle Filters for Tracking Applications, Artech House, DSTO, 2004. p. 129.

SIMON, D. Optimal State Estimation: Kalman, H , and Nonlinear Approaches, Wiley-Interscience, 2006, p. 83,128,129.

JULIER, S. and UHLMANN, J. Unscented Filtering and Nonlinear Estimation , Proceedings of the IEEE, 2004, vol. 92, no. 3, p. 401-422.

ZHANG, H., DAI, G., SUN, J. and ZHAO , Y. Unscented Kalman filter and its nonlinear application for tracking a moving target, Optik, 2013, vol.124, p. 4468– 4471.

SONG, T.L. and SPEYER, J.L. A Stochastic Analysis of a Modified Gain Extended Kalman Filter with Applications to estimation with Bearings-only measurements, IEEE Trans. Automat. Contr., 1985, vol.30, no.10, p. 940-949.

AIDALA, V.J. and HAMMEL, S.E. Utilization of modified polar coordinates for bearings only tracking, IEEE Trans. Automatic Control , 1983, vol.28, no. 3, p. 283-294.

KOTESWARA RAO, S., RAJA RAJESWARI, K. and LINGAMURTY, K.S. Unscented Kalman Filter with Application to Bearings-Only Target Tracking, IETE journal of research , 2009, vol.55, no. 2, p. 63-67.

LERRO, D. and BAR-SHALOM, Y. Tracking With Debiased Consistent Converted Measurements Versus EKF, IEEE transactions on aerospace and electronic systems , 1993, vol. 29, no. 3, p. 1015 - 1022.

RAO, S.K., KUMAR, D.V.A.N.R. and RAJU, K.P. Combination of Pseudo Linear Estimator and modified gain bearings-only extended Kalman filter for passive target tracking in abnormal conditions, Ocean Electronics (SYMPOL), 2013, p. 3 – 8.

ZHOU, G., PELLETIER, M., KIRUBARAJAN T. and QUAN, T. Statically Fused Converted Position and Doppler Measurement Kalman Filters, Aerospace and Electronic Systems ,IEEE Transactions on, 2014, Vol. 50, no. 1, 300 – 318.

Downloads

Published

25-01-2016

Issue

Vol. 10 No. 2 (2015)

Section

Research Paper

Categories

License

Copyright (c) 2016 Advances in Military Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms:

1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.

Users can use, reuse and build upon the material published in the journal for any purpose, even commercially.

How to Cite

Kumar, D., Rao, S., & Raju, K. (2016). Underwater Bearings-Only Passive Target Tracking Using Estimate Fusion Technique. Advances in Military Technology, 10(2), 31-44. https://aimt.cz/index.php/aimt/article/view/1092