Enhanced Long Baseline Underwater Target Localization With Adaptive Track-Before-Detect Method

In recent years, the particle filter (PF)-based track-before-detect (TBD) method has garnered attention in long baseline (LBL) localization algorithms. This approach can overcome the measurement-to-track association (MTA) challenges and complex underwater environments. In this paper, LBL underwater...

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Veröffentlicht in:	IEEE signal processing letters 2024, Vol.31, p.1710-1714
Hauptverfasser:	Jin, Tao, Wang, Bo, Lou, Yi, Zhao, Yunjiang, Qi, Bin
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive thresholds Algorithms Changing environments Convergence Heuristic algorithms Likelihood ratio likelihood ratio function Localization Location awareness long baseline (LBL) measurement-to-track association (MTA) Particle filter (PF) Radar tracking Signal processing algorithms Signal to noise ratio Target tracking Thresholds track-before-detect (TBD) Tracking Underwater
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