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A neural network aided adaptive second-order gaussian filter for tracking maneuvering targets

Sadati, N ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. DOI: 10.1109/ICTAI.2005.12
  3. Publisher: 2005
  4. Abstract:
  5. The adaptive capability of filters is known to be increased by incorporating a neural network into the filtering procedure. In this paper, an adaptive algorithm for tracking maneuvering targets based on neural networks is proposed. This algorithm is implemented with two filters based on the current statistical model and a multilayer feedforward neural network. The two filters track the same maneuvering target in parallel and the neural network automatically considers all the state information of the two filters and adaptively adjusts the process variance of one of them to achieve better performance in different target maneuver tracking. Simulations results show that the proposed adaptive algorithm tracks maneuvering targets very well with higher precision over a wide range of maneuvers. © 2005 IEEE
  6. Keywords:
  7. Adaptive systems ; Algorithms ; Computer simulation ; Feedforward neural networks ; Maneuverability ; Tracking (position) ; Gaussian filters ; Maneuver tracking ; Digital filters
  8. Source: ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05, Hong Kong, 14 November 2005 through 16 November 2005 ; Volume 2005 , 2005 , Pages 439-446 ; 10823409 (ISSN); 0769524885 (ISBN); 9780769524887 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/1562975