Open Access Open Access  Restricted Access Subscription Access

Statistically Efficient Control Scheme for Undersea Surveillance for Sonar Ranging and Detection


Affiliations
1 Department of Computer Science and Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India
 

Background/Objectives: Altered Gain Extended Kalman Filter (MGEKF) created by Song and Speyer was ended up being reasonable calculation for edges of just uninvolved target following applications in air. As of late, roughly changed increases are exhibited, which are numerically steady and precise. In this paper, this enhanced MGEKF calculation is investigated for submerged applications with a few adjustments.

Methods/Statistical Analysis: In submerged, the clamor in the estimations is high, turning rate of the stages is low and speed of the stages is additionally low when contrasted and the rockets in air.

Findings: These attributes of the stage are considered in detail and the calculation is changed appropriately to track applications in submerged. Monte-Carlo mimicked comes about for two regular situations are exhibited with the end goal of clarification.

Application/Improvements: From the outcomes it is watched that this calculation is particularly reasonable for this nonlinear edges just latent target following.


Keywords

Estimation, Sonar, Kalman Filter, Simulation, Modified Gain, Angles-Only Target Tracking.
User
Notifications

  • P.J. Golkoki, M.A. Islam. An alternative derivation of the modified gain function of song and speyer. IEEE Transactions on Automatic Control. 1999, 36(11), 1223-1326.
  • M. Longbin, L. Qi, Z. Yiyu, S. Zhongkang. Utilization of the universal linearization in target tracking. IEEE Transactions on Aerospace and Electronic Systems.1997, 2, 941-945.
  • T.L. Song, J.L. Speyer. A stochastic analysis of a modified gain extended kalman filter with applications to estimation with bearing only measurements. IEEE Transactions on Automatic Control.1958, 30(10), 940-949.
  • Jawahar, S.K. Rao. Modified polar extended kalman filter (MP-EKF) for bearings only target tracking. Indian Journal of Science and Technology. 2016, 9(26), 0974-5645.
  • Y.T. Chan, S.W. Rudnicki. Bearings only doppler bearing tracking using instrumental variables. IEEE Transactions on aerospace and electronic Systems. 1992, l 28(4), 1076-1083.
  • A. Jawahar, S. Koteswara Rao. Modified Polar Extended Kalman Filter (MP-EKF) for bearings only target tracking. Indian Journal of Science and Technology. 2016, 9 (26), 1-5.
  • Jawahar, S. Koteswara Rao, A.S.D. Murthy, K.S. Srikanth, R.P. Das. Advanced submarine integrated weapon control system. Indian Journal of Science and Technology. 2015, 8(35), 1-3.
  • Jawahar, S. Koteswara Rao, A.S.D. Murthy, K.S. Srikanth, R.P. Das. Underwater passive target tracking in constrained environment. Indian Journal of Science and Technology. 2015, 8(35), 1-4.
  • Jawahar, S. Koteswara Rao, S.K.B. Karishma. Target estimation analysis using data association and fusion. International Journal of Oceans and Oceanography. 2015, 9(2), 203-210.
  • Jawahar, S. Koteswara Rao. Recursive multistage estimator for bearings only passive target tracking in ESM EW Systems. Indian Journal of Science and Technology. 2015, 8(26), 1-5.
  • Jawahar. Feasible course trajectories for undersea sonar target tracking systems. Indian Journal of Automation and Artificial Intelligence. 2016, 3(1), 1-5.
  • Jawahar, V.C. Chakravarthi. Improved Nonlinear Signal Estimation Technique For Undersea Sonar-Based Naval Applications. Innovare Journal of Engineering and Technology. 2016, 4(4), 20-25.
  • Jawahar A, V.C. Chakravarthi. Comparative analysis of non linear estimation schemes used for undersea sonar applications. Innovare Journal of Engineering and Technology. 2016, 4 (4), 14-19.
  • K.L. Prasanna, S. Koteswara Rao, B.O.L. Jagan, A. Jawahar, S.K.B. Karishma Data Fusion in Underwater Environment. International Journal of Engineering and Technology (IJET). 2016, 8(1), 225-234.
  • K.L. Prasanna, S. Koteswara Rao, A. Jawahar, S.K.B. Karishma. Modern Estimation technique for undersea active target tracking. International Journal of Engineering and Technology. 2016, 8(2), 791-803.
  • K.L. Prasanna, S. Koteswara Rao, A. Jawahar, S.K.B. Karishma. Ownship Strategies during Hostile Torpedo Attack. Indian Journal of Science and Technology. 2016, 9 (16), 1-5.

Abstract Views: 61

PDF Views: 41




  • Statistically Efficient Control Scheme for Undersea Surveillance for Sonar Ranging and Detection

Abstract Views: 61  |  PDF Views: 41

Authors

B. Ramana Babu
Department of Computer Science and Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India
A. Jawahar
Department of Computer Science and Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India

Abstract


Background/Objectives: Altered Gain Extended Kalman Filter (MGEKF) created by Song and Speyer was ended up being reasonable calculation for edges of just uninvolved target following applications in air. As of late, roughly changed increases are exhibited, which are numerically steady and precise. In this paper, this enhanced MGEKF calculation is investigated for submerged applications with a few adjustments.

Methods/Statistical Analysis: In submerged, the clamor in the estimations is high, turning rate of the stages is low and speed of the stages is additionally low when contrasted and the rockets in air.

Findings: These attributes of the stage are considered in detail and the calculation is changed appropriately to track applications in submerged. Monte-Carlo mimicked comes about for two regular situations are exhibited with the end goal of clarification.

Application/Improvements: From the outcomes it is watched that this calculation is particularly reasonable for this nonlinear edges just latent target following.


Keywords


Estimation, Sonar, Kalman Filter, Simulation, Modified Gain, Angles-Only Target Tracking.

References