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Abstract <p>The problem of optimal estimation of signal parameters in the case of measurements containing interferences of various types is solved using a set of alternative computational grids. A new method for forming the desired estimates is developed, which ensures the decomposition of the computational procedure, a significant reduction in time costs and storage, and a decrease in the estimation error under incorrect measurement conditions. Mathematical expressions for a comparative evaluation of the effectiveness of the developed and other methods for optimal estimation under uncertainty are given. The random and systematic errors are analyzed, and the achieved computational effect is evaluated. An illustrative example is given.</p>

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Numerical-Analytical Method for Estimating Signal Parameters on a Set of Alternative Grids under Uncertainty

  • 期刊论文

  • 发表日期：

    2025年9月1日

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  • Yu. G. Bulychev

摘要

Abstract

The problem of optimal estimation of signal parameters in the case of measurements containing interferences of various types is solved using a set of alternative computational grids. A new method for forming the desired estimates is developed, which ensures the decomposition of the computational procedure, a significant reduction in time costs and storage, and a decrease in the estimation error under incorrect measurement conditions. Mathematical expressions for a comparative evaluation of the effectiveness of the developed and other methods for optimal estimation under uncertainty are given. The random and systematic errors are analyzed, and the achieved computational effect is evaluated. An illustrative example is given.