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Modified Polar Extended Kalman Filter (MP-EKF) for Bearings - Only Target Tracking


Affiliations
1 School of Electrical Sciences, KL University, Vaddeswaram - 522502, India
 

Background/Objectives: Surveillance is most crucial part of maritime environment. The target needs to be tracked within shortest possible time with low complexity and computational cost. Methods/Statistical Analysis: Modified Polar Extended Kalman Filter is well suited for bearing only target tracking. In this paper a mathematical modelling and Monte Carlo simulation has been carried out. Findings: It is found out that MPEKF effectively tracks the underwater target. Therefore, it is suitable estimation algorithm for bearings-only underwater passive target tracking.

Keywords

Bearing, Estimation, Kalman Filter, Manuever, Simulation, Target Tracking.
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  • Modified Polar Extended Kalman Filter (MP-EKF) for Bearings - Only Target Tracking

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Authors

A. Jawahar
School of Electrical Sciences, KL University, Vaddeswaram - 522502, India
S. Koteswara Rao
School of Electrical Sciences, KL University, Vaddeswaram - 522502, India

Abstract


Background/Objectives: Surveillance is most crucial part of maritime environment. The target needs to be tracked within shortest possible time with low complexity and computational cost. Methods/Statistical Analysis: Modified Polar Extended Kalman Filter is well suited for bearing only target tracking. In this paper a mathematical modelling and Monte Carlo simulation has been carried out. Findings: It is found out that MPEKF effectively tracks the underwater target. Therefore, it is suitable estimation algorithm for bearings-only underwater passive target tracking.

Keywords


Bearing, Estimation, Kalman Filter, Manuever, Simulation, Target Tracking.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i26%2F135168