Indian Journal of Automation and Artificial Intelligence

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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.
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  • 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: 311

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

Abstract Views: 311  |  PDF Views: 161

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