Bearings-Only Tracking With Speed and Range Constraints

Target motion analysis for bearings-only tracking is a challenging task and while estimating the range and velocity of the target, estimation error may diverge. To improve the estimation accuracy and minimize the track divergence, in this paper, we assume that by hearing the sound, a sonar operator...

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Bibliographic Details
Published in2023 31st European Signal Processing Conference (EUSIPCO) pp. 2038 - 2042
Main Authors Das, Shreya, Kumar, Kundan, Bhaumik, Shovan
Format Conference Proceeding
LanguageEnglish
Published EURASIP 04.09.2023
Subjects
Bearings-only tracking
constrained optimization
Europe
Lagrange multiplier
Nonlinear filters
Signal processing
Sonar
State estimation
target motion analysis
Target tracking
Task analysis
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Summary:Target motion analysis for bearings-only tracking is a challenging task and while estimating the range and velocity of the target, estimation error may diverge. To improve the estimation accuracy and minimize the track divergence, in this paper, we assume that by hearing the sound, a sonar operator is capable of saying the upper and lower limit of range and velocity of the target and we incorporate such information along with the traditional state estimation methods. To do so, after obtaining the posterior estimate a constrained optimization problem which minimizes weighted error square has been solved. The developed method is applied to two bearings-only tracking scenarios. It has been observed that the proposed technique delivers more accurate results in terms of root mean square error and track loss percentage than that obtained from only nonlinear filters.
ISSN:2076-1465
DOI:10.23919/EUSIPCO58844.2023.10289720