Joint integrated track splitting for multi-path multi-target tracking using OTHR detections

Bibliographic Details
Title: Joint integrated track splitting for multi-path multi-target tracking using OTHR detections
Authors: Yuan Huang, Taek Lyul Song, Joo Hyun Lee
Source: EURASIP Journal on Advances in Signal Processing, Vol 2018, Iss 1, Pp 1-17 (2018)
Publisher Information: SpringerOpen, 2018.
Publication Year: 2018
Collection: LCC:Telecommunication
LCC:Electronics
Subject Terms: Multi-target tracking, OTHR, Multiple detection, Track management, Telecommunication, TK5101-6720, Electronics, TK7800-8360
More Details: Abstract In target tracking applications where an over-the-horizon radar (OTHR) is used to gather measurements, one target may generate more than one measurement at each scan due to the multi-path propagation effect. However, traditional tracking methods obtain the data association probabilities based on track-to-measurement data association events under the assumption that each target can generate at most one detection at each scan, leading to poor performances if these methods are applied to multiple detection applications such as OTHR applications. In this paper, we develop a multi-path multi-target tracking algorithm entitled multiple detection joint integrated track splitting (MD-JITS). This novel algorithm jointly solves the measurement origin uncertainty and measurement path model uncertainty. The probability of target existence (PTE) is utilized in the OTHR application as a track quality measure for true track confirmation and false track discrimination. The data association algorithm of MD-JITS the proposed algorithm is realized based on measurement cells that each measurement cell consists of one or more of the validated measurements, while considering the measurement path model. The proposed algorithm is compared with the multiple detection joint integrated probabilistic data association (MD-JIPDA) algorithm in a multi-target crossing scenario, implementing the OTHR system in the presence of clutter and failed target detections, to demonstrate the desired effectiveness.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1687-6180
Relation: http://link.springer.com/article/10.1186/s13634-018-0582-4; https://doaj.org/toc/1687-6180
DOI: 10.1186/s13634-018-0582-4
Access URL: https://doaj.org/article/bb3cb54a3cfb41f1868361ab0539d42f
Accession Number: edsdoj.bb3cb54a3cfb41f1868361ab0539d42f
Database: Directory of Open Access Journals
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More Details
ISSN:16876180
DOI:10.1186/s13634-018-0582-4
Published in:EURASIP Journal on Advances in Signal Processing
Language:English