KOSS-21 Development of optimal parameter estimation of single and group object movement by radar measurements

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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:

  1. N.A. Livshits, V.N. Vinogradov, G.A. Golubev. Correlation theory of optimal control of multi-dimension processes. Moscow, "Sovetskoe radio", 1974 (in Russian).

  2. G.A. Golubev. Minimax linear filters of dynamic object coordinates. Technical cybernetic. 1978, No. 3, pp. 155-162 (in Russian).

  3. V.N. Vinogradov. Polynomial filtration of non-linear processes with discrete time. Radiotechnique and Electronics, 1996, Vol. 41, No. 3, p.303 (in Russian).

 
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