MP-IPDA ∗ for Target Motion Analysis

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초록

Passive acoustics signals generated by a target used for oceanic environment analysis cause a lot of problems due to multiple paths and Doppler effects. Multiple detections caused by multiple paths need to be identified to avoid a mismatch between the true paths and the path models for target tracking. In this paper, the multi-path integrated probabilistic data association (MP-IPDA) algorithm which was applied to multi-path (MP) tracking for Over-The-Horizon Radar is modified for target motion analysis (TMA) in a shallow oceanic environment where the speed of sound is almost constant. The MP-IPDA algorithm is further modified to an alternative algorithm called MP-IPDA ∗ to reduce computational burden for enhancing efficiency. The MP-IPDA ∗ algorithm is more effective as the number of multiple paths increases. A simulation study shows that the MP-IPDA ∗ algorithm in quite effective for TMA even in the environment with very low target detection probability. © 2024 IEEE.

키워드

computational efficiency; MP-IPDA; multi-path data association; multi-path TMA; robust tracking
제목
MP-IPDA ∗ for Target Motion Analysis
저자
Sui, Hoseok; Song, Taek Lyul; Choi, Jee Woong
DOI
10.1109/ICCAIS63750.2024.10814592
발행일
2024-12
유형
Conference paper
저널명
2024 13th International Conference on Control, Automation and Information Sciences, ICCAIS 2024
페이지
1 ~ 6