Decorrelation-Based Data Association Algorithm for Heterogeneous Sensors System

Yun Bo Kong; Hua Bing Wang; Xin Xi Feng; Chuan Guo Lu; Rong Bo Ke; Guo Sheng Chen

doi:10.4028/www.scientific.net/AMM.722.334

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 722Decorrelation-Based Data Association Algorithm for...

Decorrelation-Based Data Association Algorithm for Heterogeneous Sensors System

Abstract:

A decorrelation-based data association algorithm for heterogeneous sensors system is proposed, which first fusions multiple measurements to estimate a target position using the pseudo linear estimation method, then a decorrelation-based data association model is built and the unscented transform is proposed to compute the mutual covariance between measurements and the pseudo ones. Meanwhile, taking the real-time problem into consideration, when calculating the cross covariance, the minimum skew simplex sample is used to reduce the complexity of the algorithm.

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Periodical:

Applied Mechanics and Materials (Volume 722)

Pages:

334-337

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.722.334

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Online since:

December 2014

Authors:

Yun Bo Kong*, Hua Bing Wang, Xin Xi Feng, Chuan Guo Lu, Rong Bo Ke, Guo Sheng Chen

Keywords:

Data Association, Decorrelation, Heterogeneous Sensors, Unscented

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* - Corresponding Author

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