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February 28, 2026Optoelectronics Instrumentation and Data Processing0 citations

Stratonovich Equation and Kalman Filter for Surveillance Equipment of Different Physical Nature

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PYP. M. Yukhno

Key Points

  • The study aims to improve the estimation of phase coordinates of moving objects by utilizing the Stratonovich equation and Kalman filter.
  • Applied the generalized Stratonovich equation under Gaussian approximation for estimation.
  • Used Kalman filter equations to combine information from various observation signals.
  • Developed a framework to account for multidimensional images as observation signals.
  • Showed that the generalized Stratonovich equation incorporates diverse observation devices effectively.
  • Demonstrated that the likelihood functionals account for correlation in observation noise.
  • Achieved improved estimation accuracy for motion dynamics in complex environments.

Abstract

The problem of estimation of the phase coordinates of the object whose motion is described by a system of differential equations is considered. For estimation, the Kalman filter equations following from the solution to the generalized Stratonovich equation in the Gaussian approximation are used. The generalized Stratonovich equation makes it possible to consider the cases when, as an observation signal, a multidimensional image of the observation object is applied; i.e., the scalar function of an arbitrary number of variables describing the specificity of the observation device. It is shown that the data array obtained from the used set of observation devices is included into the generalized Stratonovich equation and in the Kalman filter equations in the form of an additive combination of time derivatives of the likelihood functionals of each of the observation devices. Each of these functionals can consider the correlation of observation noises.

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Cite This Study

P. M. Yukhno (2025) studied this question.

synapsesocial.com/papers/69a286da0a974eb0d3c02287https://doi.org/10.3103/s8756699025700657
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