KOSS-21 Development of optimal parameter estimation of single and group object movement by radar measurements
On the base of correlation theory of optimal filtration of multi-dimension random processes, methods of optimal parameter estimation (according to the criterion of standard deviation) of single and group object movement by radar measurements. Under conditions of complete a priori information on random processes, minimax filtration methods are developed. Polynomial methods for filtering such processes are developed for essentially non-linear systems.
Based on the developed methods and algorithms, program realization of these algorithms are created.
This work is based on results obtained in issues:
N.A. Livshits, V.N. Vinogradov, G.A. Golubev. Correlation theory of optimal control of multi-dimension processes. Moscow, "Sovetskoe radio", 1974 (in Russian).
G.A. Golubev. Minimax linear filters of dynamic object coordinates. Technical cybernetic. 1978, No. 3, pp. 155-162 (in Russian).
V.N. Vinogradov. Polynomial filtration of non-linear processes with discrete time. Radiotechnique and Electronics, 1996, Vol. 41, No. 3, p.303 (in Russian).