Tracking Nonlinear Object and it’s Parameter

A kalman filter as predictor for moving target devolved to detect & parameters like velocity, acceleration and displacement tracked. The approaches of target detection using barker code length with autocorrelation decide sharpness. The parameters of tacking target are predicted. At each epoch time average the sum of Diagonal element of covariance matrix for innovation is computed and compared with the dynamic ballistic missile. If the difference is high than predetermined level, the scale factor is set to update. Some computer result is carried out to compare the performance Kalman filter.