Target Association of Heterogeneous Sensors Based on Nearest-neighbor and Topology

A new data association algorithm is proposed in this paper for heterogeneous sensors information fusion system, which consists of Radar and high-dynamic-range IR, based on joint usage of the nearest-neighbor (NN) and the topology similarity. The proposed algorithm can avoid the complicated system bi...

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Bibliographic Details
Published inJournal of radars = Lei da xue bao Vol. 1; no. 4; pp. 393 - 398
Main Authors 袁, 定波, 孟, 藏珍, 许, 稼, 彭, 应宁
Format Journal Article
LanguageEnglish
Published China Science Publishing & Media Ltd. (CSPM) 01.12.2012
Subjects
Data fusion
Nearest-Neighbor (NN) algorithm
Target association
Topology
Topology similarity
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Summary:A new data association algorithm is proposed in this paper for heterogeneous sensors information fusion system, which consists of Radar and high-dynamic-range IR, based on joint usage of the nearest-neighbor (NN) and the topology similarity. The proposed algorithm can avoid the complicated system biases compensation based on topology information. Because the NN method is sensitive to the system bias while the existing topology-based algorithms need a large amount of computation, the proposed algorithm shows a lot of advantages, like high estimation accuracy and robustness as well as the improvement of success association rate. Finally, some numerical experiments are provided to demonstrate the effectiveness of the proposed method. And the estimation accuracy can be as high as 90%.
ISSN:2095-283X
2095-283X
DOI:10.3724/SP.J.1300.2012.20083