Track Fusion and Anti-jamming Algorithm based on Multi-missile Detection Information

Fang, Ke; Zhang, Qingzhen; Wang, Yingxin; Ni, Kun; Zhou, Chengyang

doi:10.1109/gncc42960.2018.9018966

2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC) 2018

DOI: 10.1109/gncc42960.2018.9018966

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Track Fusion and Anti-jamming Algorithm based on Multi-missile Detection Information

Ke Fang

Qingzhen Zhang²,

Yingxin Wang³

et al.

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Application of GOA-GDOP in aircraft collaborative detection

Ding

Xue²,

Dai³

et al. 2022

ITM Web Conf.

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The cooperative detection of aircraft has been widely concerned by scholars at home and abroad in recent years. This paper mainly studies the positioning accuracy of the sensor-carrying aircraft in collaborative detection. By using Grasshopper Optimisation Algorithm (GOA), Taking Geometrical Dilution of Precision (GDOP) as the objective function, the relative position relationship between aircraft is determined, the optimal detection configuration is planned, and the feasibility of the algorithm is analyzed under limited flight area conditions, the positioning accuracy of collaborative detection is further improved.

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Application of GOA-GDOP in aircraft collaborative detection

Ding

Xue²,

Dai³

et al. 2022

ITM Web Conf.

View full text Add to dashboard Cite

show abstract

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Track Fusion and Anti-jamming Algorithm based on Multi-missile Detection Information

Cited by 1 publication

References 5 publications

Application of GOA-GDOP in aircraft collaborative detection

Application of GOA-GDOP in aircraft collaborative detection

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