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- Article name
- NEURAL NETWORK MODEL FOR MULTI-TARGET RADAR DATA ASSOCIATION IN CLUTTER
- Authors
- Loginov V. A., , loginovva@mpei.ru, National Research University "Moscow Power Engineering Institute", Moscow, Russia
Marchuk O. N., , MarchukON@mpei.ru, National Research University "Moscow Power Engineering Institute", Moscow, Russia
- Keywords
- target tracking / group target / recurrent neural network / LSTM architecture
- Year
- 2025 Issue 2 Pages 27 - 32
- Code EDN
- TJFLWQ
- Code DOI
- 10.52190/2073-2597_2025_2_27
- Abstract
- A brief review of the main neural network approaches used in solving problems of moving targets tracking in various domains is given. The method of applying a recurrent neural network with an LSTM architecture to solve the problem of radar data association for grouped targets in clutter is described, and its testing and comparison with existing classical data association methods are carried out.
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