Robust Target Tracking with Multi-Static Sensors under Insufficient TDOA Information
- Authors
- Shin, Hyunhak; Ku, Bonhwa; Nelson, Jill K.; Ko, Hanseok
- Issue Date
- 5월-2018
- Publisher
- MDPI
- Keywords
- multi-static sonar; sonar tracking; sonar applications; MHT; tree-search algorithms
- Citation
- SENSORS, v.18, no.5
- Indexed
- SCIE
SCOPUS
- Journal Title
- SENSORS
- Volume
- 18
- Number
- 5
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/76078
- DOI
- 10.3390/s18051481
- ISSN
- 1424-8220
- Abstract
- This paper focuses on underwater target tracking based on a multi-static sonar network composed of passive sonobuoys and an active ping. In the multi-static sonar network, the location of the target can be estimated using TDOA (Time Difference of Arrival) measurements. However, since the sensor network may obtain insufficient and inaccurate TDOA measurements due to ambient noise and other harsh underwater conditions, target tracking performance can be significantly degraded. We propose a robust target tracking algorithm designed to operate in such a scenario. First, track management with track splitting is applied to reduce performance degradation caused by insufficient measurements. Second, a target location is estimated by a fusion of multiple TDOA measurements using a Gaussian Mixture Model (GMM). In addition, the target trajectory is refined by conducting a stack-based data association method based on multiple-frames measurements in order to more accurately estimate target trajectory. The effectiveness of the proposed method is verified through simulations.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.