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A generalized regression neural network (GRNN) scheme for robust estimation of target orientation using back-scattered data

Sarshar, N ; Sharif University of Technology | 2001

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  1. Type of Document: Article
  2. DOI: 10.1109/APS.2001.959818
  3. Publisher: 2001
  4. Abstract:
  5. The orientation of a conducting target was estimated with a generalized regression neural network (GRNN) network using back-scattered data. Steps made to provide the training data sets by a computer code using method of moments were investigated. Noisy data sets were provided to improve the system generalization. The GRNN target orientation estimation and its performance was evaluated and the robustness was verified against target scaling, target deformation, sensor misplacements and introduction of noise with different S/N into sensor measurements
  6. Keywords:
  7. Neural networks ; Position measurement ; Scattering ; Moment methods ; Target tracking ; Radar tracking ; Inverse problems ; Sensor systems ; Training data ; Robustness
  8. Source: IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) ; Volume 2 , 2001 , Pages 690-693 ; 15223965 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/959818