Stability analysis of radome error and calibration using neural networks

Theoretical and numerical simulation analyses for the radome refraction effect on stability and induced miss distance of missiles guided by proportional navigation are presented. Quantitative stability conditions are derived with respect to linear and nonlinear radome error. A novel neural network c...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2001-10, Vol.37 (4), p.1442-1450
Main Author: Lin, Chung-Liang
Format: Article
Language:English
Subjects:
Adaptive control
Artificial neural networks
Calibration
Compensation
Computer simulation
Error compensation
Errors
Miss distance
Missiles
Multi-layer neural network
Navigation
Neural networks
Radar tracking
Radomes
Stability
Stability analysis
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Summary:Theoretical and numerical simulation analyses for the radome refraction effect on stability and induced miss distance of missiles guided by proportional navigation are presented. Quantitative stability conditions are derived with respect to linear and nonlinear radome error. A novel neural network compensation scheme for radome error is also presented. It is shown that the proposed neural compensator can effectively reduce the influence resulting from radome error. Preliminary results indicate encouraging improvement in the miss distance and magnitude of the acceleration command.
ISSN:0018-9251
1557-9603
DOI:10.1109/7.976979