NDLI: Multi-sensor track-to-track fusion with target existence in cluttered environments

Content Provider	IET Digital Library
Author	Lee, Eui Hyuk Song, Taek Lyul
Abstract	Multi-sensor fusion for multiple target tracking in cluttered environments is needed for improving tracking accuracy and track maintenance over single sensor target tracking in real target tracking applications. A track quality measure, such as the probability of target existence, can be used when fusing local sensor tracks for false track discrimination at the fusion centre and to improve the performance of the track-to-track association. The track quality measure is a highly effective tool for track maintenance and lowers the computational load by sending tracks with a high probability of target existence to the track centre. In this study, the authors utilise the iterative joint-integrated probabilistic data association technique for multi-sensor distributed fusion systems. Track-to-track fusion performance also depends on distributed fusion architecture. The track-to-track fusion algorithm is evaluated in distributed fusion systems without memory, with memory, and with feedback. The track confirmation rates and position errors are simulated and compared with low-level centralised fusion, which is theoretically optimal.
Starting Page	1108
Ending Page	1115
Page Count	8
ISSN	17518784
Volume Number	11
e-ISSN	17518792
Issue Number	Issue 7, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/11/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2016.0497
Journal	IET Radar, Sonar & Navigation
Publisher Date	2017-02-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Clutter Cluttered Environments Digital Signal Processing Distributed Fusion Architecture False Track Discrimination Fusion Centre Iterative Joint-integrated Probabilistic Data Association Technique Low-level Centralised Fusion Multiple Target Tracking Multisensor Distributed Fusion System Multisensor Track-to-track Fusion Algorithm Position Error Probability Sensing Device And Transducers Sensor Fusion Signal Processing And Detection Single Sensor Target Tracking Statistics Target Existence Target Existence Probability Target Tracking Track Confirmation Rates Track Maintenance Track Quality Measure Track-to-track Association
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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