Research on Fusion Tracking Technology in Heterogeneous Multi-Sensor

Yan Ju Liu; Chun Xiang Xie; Jian Hui Song

doi:10.4028/www.scientific.net/AMR.1056.158

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1056Research on Fusion Tracking Technology in...

Research on Fusion Tracking Technology in Heterogeneous Multi-Sensor

Abstract:

Heterogeneous multi-sensor’s fusion tracking can detect precise distance and angle to the target. For heterogeneous multi-sensor issues, radar, infrared sensor and laser sensor’s data fusion, and target tracking are studied, weighted fusion algorithm based on Lagrange and unscented kalman filter are adopted, which make date fusion and tracking filtering for target. Simulation results show that the radar / infrared / laser sensors can realize data fusion and tracking to the target, and the accuracy is significantly higher than radar and infrared/laser, and then tracking effect is better.

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Periodical:

Advanced Materials Research (Volume 1056)

Pages:

158-161

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1056.158

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Online since:

October 2014

Authors:

Yan Ju Liu, Chun Xiang Xie, Jian Hui Song*

Keywords:

Data Fusion, Heterogeneous Sensor, Target Tracking, UKF Filter

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* - Corresponding Author

References

[1] Zhang Yi-an and Liu Qian: High maneuvering target tracking fusion simulation study in radar and infrared. Computer Simulation, 2011, 10 (28): 23-27.

Google Scholar

[2] Guo Ming and Wang Xuewei: IR / active radar sensors based on infrared small target detection method parameter fusion. Infrared Technology, 2010, 32 (8): 474-478.

Google Scholar

[3] Wang Xiaohua, Jing Zhongliang and Chen Fei: Infrared and laser active / passive joint tracking algorithm. Infrared and Laser Engineering, 2001, 4 (30): 219-225.

Google Scholar

[4] Chen Jiahong, Zhang Xinman and Zhang Zhonghua: Based on UKF centralized heterogeneous sensor fusion algorithm. Aerospace Control, 2008, 5 (26): 3-6.

Google Scholar

[5] Pan Lina: Extended Kalman Filter multi-sensor target tracking. Ship Electronic Engineering, 2010, 12 (30): 71-73.

Google Scholar

[6] Hu Zhentao, Fu Chunling and Liu Xiansheng: Multi-sensor target tracking fusion algorithm based on RB particle filter. Optoelectronics • Laser, 2012, 3(23): 566-571.

Google Scholar