Fitting for smoothing: A methodology for continuous-time target track estimation

Tiancheng Li, Javier Prieto, Juan Manuel Corchado

科研成果: 书/报告/会议事项章节会议稿件同行评审

16 引用 (Scopus)

摘要

A preliminary framework for inferring continuoustime target trajectory (namely "track") is given for a class of target tracking problems in which the target is subject to a rather smooth evolving process in time series, such as tracking passenger aircrafts or ships that have scheduled routes. As the core idea, the distant estimates given over time by a recursive estimator are 'fitted' by using a function of continuous-time, which can be then used to infer the state for any time instants in the effective fitting period, either the past (like conventional smoothing, but curried out online) or the future (including long-term prediction). This regression analysis methodology, referred to as fitting for smoothing (F4S), also facilitates combating misdetection and outliers from which most existing tracking systems suffer. Simulations are provided to illustrate how it works and benefits in either cluttered or non-cluttered environments, with either a single target or multiple targets.

源语言英语
主期刊名2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781509024254
DOI
出版状态已出版 - 14 11月 2016
已对外发布
活动2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 - Madrid, 西班牙
期限: 4 10月 20167 10月 2016

出版系列

姓名2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016

会议

会议2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016
国家/地区西班牙
Madrid
时期4/10/167/10/16

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