Target Motion Analysis Method Based on Conical Angle

Bearing-only target motion analysis(BO-TMA) is a technique for estimating the position and velocity of a target from the target bearing angles, and it plays a significant role in anti-submarine warfare. However, in underwater environments, propagation phenomena such as acoustic refraction and depth differences between the ownship and the target can introduce vertical components into the received signals. The received conical angle comprises the vertical component together with bearing angle. Therefore, received conical angle for conventional TMA algorithms which ignore the vertical components for modeling the received signals may produce large errors. We utilize an acoustic propagation model that provides the received vertical angle that comprises the conical angle. Then TMA algorithm based on a particle filter and an extended Kalman filter are applied for performance comparison.

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Publication Details

Journal
Journal of the Korea Institute of Military Science and Technology
Published
2026-02-05
DOI
https://doi.org/10.9766/kimst.2026.29.1.009
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
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article

Target Motion Analysis Method Based on Conical Angle

Taek Lyul Song, Hoseok Sul, Uijin Yu, Jee Woong Choi
Journal of the Korea Institute of Military Science and Technology
Target Tracking and Data Fusion in Sensor Networks
article

Target Motion Analysis Method Based on Conical Angle

Taek Lyul Song, Hoseok Sul, Uijin Yu, Jee Woong Choi
article en

Abstract

Bearing-only target motion analysis(BO-TMA) is a technique for estimating the position and velocity of a target from the target bearing angles, and it plays a significant role in anti-submarine warfare. However, in underwater environments, propagation phenomena such as acoustic refraction and depth differences between the ownship and the target can introduce vertical components into the received signals. The received conical angle comprises the vertical component together with bearing angle. Therefore, received conical angle for conventional TMA algorithms which ignore the vertical components for modeling the received signals may produce large errors. We utilize an acoustic propagation model that provides the received vertical angle that comprises the conical angle. Then TMA algorithm based on a particle filter and an extended Kalman filter are applied for performance comparison.

Journal of the Korea Institute of Military Science and TechnologyVol. 29(1)
Life below water
Openalex Percentile: Top 64%
Target Tracking and Data Fusion in Sensor Networks
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