Interacting Multiple Model estimators for tracking thousands of interacting, small targets in a complex plasma

被引：0

作者：

Oxtoby, Neil P. ^{[1
]}

Ralph, Jason F. ^{[1
]}

Durniak, Celine ^{[1
]}

Samsonov, Dmitry ^{[1
]}

机构：

[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England

来源：

SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION XX | 2011年 / 8050卷

关键词：

tracking; extended kalman filter; interacting multiple model; complex plasma; dusty plasma; DUSTY PLASMA; DISCHARGE;

D O I：

10.1117/12.883028

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Tracking a large number of small targets is a challenging task. This work considers tracking approximately 3000 micron-sized particles in a complex plasma. Inter-particle screened-Coulomb interactions increase the complexity of the tracking problem, which is further complicated by highly nonlinear dynamics - a shock wave. Subsets of the particles are tracked concurrently by Interacting Multiple Model estimators, with the results combined off-line. State estimation is performed by an extended Kalman filter. Estimator performance is quantified on synthetic data, with discussion focussing on aspects of the Interacting Multiple Model.

引用

页数：9

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