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Stability analysis of radome error and calibration using neural networks

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1 Author(s)
Chun-Liang Lin ; Inst. of Autom. Control Eng., Feng Chia Univ., Taichung, Taiwan

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

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Aerospace and Electronic Systems, IEEE Transactions on  (Volume:37 ,  Issue: 4 )