The expectation-maximization method is applied to derive a stable tracking algorithm that uses the entire display (image) as its input data, completely avoiding peak picking and other data compression steps required to produce traditional point measurements. The algorithm links a histogram interpret
Multitarget tracking using geographically separated radars
โ Scribed by Hiroshi Kameda; Shingo Tsujimichi; Yoshio Kosuge
- Book ID
- 102160140
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 412 KB
- Volume
- 85
- Category
- Article
- ISSN
- 8756-6621
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
Joint search data technology by geographically separated radars has drawn attention. In this technique, the observation data of several radars placed in a geographically wide area are collected for tracking processing. A characteristic of this technique is the reduction of the cross range error that is a problem in single radar. Hence, improved tracking capability is expected. However, for realization it is necessary to take into account the deviations of the coordinate axes between the state variable vector of the target and the observation vector for the observation model of the tracking filter. In this paper, the difference in the coordinate axes is studied. JPDA (Joint Probabilistic Data Association), a multitarget tracking algorithm making use of the observation information of radars placed at several locations, is studied. In order to evaluate the effectiveness of the present technique, computer simulation is carried out. It is found that the tracking performance is improved over the conventional method of using only one radar. ยฉ 2002 Scripta Technica, Electron Comm Jpn Pt 1, 85(5): 34โ47, 2002
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