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peng_weishi

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weishi peng, yangwang fang, "Enhanced dynamic error spectrum for estimation in target tracking"

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baiyuefei

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★ ★ ★ ★ ★ ★ ★ ★ ★ ★
peng_weishi: 金币+10, 有帮助, 有wos号了吗? 2016-03-30 15:06:25
心静_依然: LS-EPI+1, 感谢应助 2016-03-30 16:21:44
Accession number:


20160902015664
3楼2016-03-30 12:43:59
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baiyuefei

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感谢参与,应助指数 +1
Accession number:


20160902015664






Title:

Enhanced dynamic error spectrum for estimation performance evaluation in target tracking






Authors:

Peng, Wei-Shi1, 2 ; Fang, Yang-Wang1 ; Chai, Dong1





Author affiliation:

1School of Aeronautics and Astronautics Engineering, Air Force Engineering University, Xi'an, Shaanxi, China






2School of Equipment Engineering, Armed Police Force Engineering University, Xi'an, Shaanxi, China






Corresponding author:

Peng, Wei-Shi (peng_weishi@163.com)






Source title:

Optik






Abbreviated source title:

Optik






Volume:

127






Issue:

8






Issue date:

April 1, 2016






Publication year:

2016






Pages:

3943-3949






Language:

English






ISSN:

00304026






Document type:

Journal article (JA)






Publisher:

Elsevier GmbH






Abstract:

The error spectrum is a comprehensive metric for evaluation of estimation performance, which is an aggregation of many incomprehensive measures. However, for dynamic systems, error spectrum is difficult to analyze an estimator's performance since it is a three-dimension graphics for the whole time horizon. Accordingly, dynamic error spectrum was proposed to relieve error spectrum to dynamic systems. The key of dynamic error spectrum is combining error spectrum into one point at a time instant, which unfortunately suffers from information loss. To improve this, a new metric called enhanced dynamic error spectrum is proposed in this paper. Then, both the additive form and the multiplicative form of enhanced dynamic error spectrum are given under different application backgrounds. Finally, the concrete application of the metrics and qualities of the above form are illustrated by numerical examples. The simulation shows that more important information are considered by enhanced dynamic error spectrum and the proposed measure can also be applied easily to dynamic systems. © 2016 Elsevier GmbH.






Number of references:

26






Main heading:

Errors






Controlled terms:

Clutter (information theory) - Estimation - Target tracking - Tracking (position)






Uncontrolled terms:

Concrete applications - Dynamic error - Error spectrum - Estimation performance - Information loss - Performance evaluation - Three dimensions - Time horizons






Classification code:

716.1 Information Theory and Signal Processing - 921 Mathematics





DOI:

10.1016/j.ijleo.2016.01.105






Database:

Compendex






Compilation and indexing terms, © 2016 Elsevier Inc.
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