Estimation algorithm of dynamic systems’ parameters with invariant immersion usage

The parameters identification problem for non-linear objects in case of minimum a priori information about probabilistic characteristic of measurement noise and disturbance is solved on the basis of dynamics inverse problems concept with the use of regularizing procedure. The developed algorithm is immune to input data errors and is focused on modern computers possibilities. The numerical simulation results are presented

A parallel algorithm for processing of radar measurements

Based on the decomposition principle, a parallel algorithm for primary processing of measurement results is developed. The new algorithm permits to find stable estimates of trajectory parameters meeting the unbiasedness and invariance conditions