Marina B. Bespalova
Voronezh State University
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Publication
Featured researches published by Marina B. Bespalova.
Radioelectronics and Communications Systems | 2013
A. P. Trifonov; Marina B. Bespalova; A. V. Kurbatov
Characteristics of quasi-likelihood estimates of the target range, velocity, and acceleration have been obtained during the probing with a sequence of optical pulses. The losses in accuracy of quasi-likelihood estimates as compared with the accuracy of maximum likelihood estimates were also found.
Radioelectronics and Communications Systems | 2014
A. P. Trifonov; Marina B. Bespalova; P. A. Trifonov; I. V. Gushchin
Characteristics of quasi-likelihood estimate of the arrival time of ultrawideband signal with unknown waveform received against the background of narrow-band interferences with unknown parameters and the Gaussian white noise have been investigated.
Radioelectronics and Communications Systems | 2011
A. P. Trifonov; Marina B. Bespalova; P. A. Trifonov
Characteristics of two algorithms for estimating range and velocity are found. The influence of narrowband Gaussian interference on precision of the estimates is analyzed.
Radioelectronics and Communications Systems | 2009
A. P. Trifonov; Marina B. Bespalova; P. A. Trifonov
The impact of Gaussian narrow-band interference on characteristics of the receiver synthesized for target detection in the presence of the Gaussian white noise was investigated. The possibility of interference suppression by applying a rejection filter was also considered.
Radioelectronics and Communications Systems | 2005
A. P. Trifonov; Marina B. Bespalova; P. A. Trifonov
The characteristics of maximum probable range and velocity estimates of a slowly or rapidly fluctuating target are found. The loss in estimation accuracy due to target’s fluctuation is defined.
Radioelectronics and Communications Systems | 2017
A. P. Trifonov; Yu. E. Korchagin; Marina B. Bespalova; M. V. Trifonov
This study investigates algorithms for the estimation of amplitude of the radio signal with rectangular envelope and unknown duration and initial phase. The synthesis and analysis of quasi-likelihood and quasi-coherent estimation algorithm have been performed. This algorithm implies that the unknown duration and initial phase are replaced with certain expected values of these parameters. The loss in accuracy of amplitude estimation owing to the a priori lack of knowledge of the duration and the initial phase is analyzed. The quasi-likelihood noncoherent algorithm for amplitude estimation with the initial phase adaptation is synthesized and its statistical characteristics such as the estimate bias and variance are determined. The relationships of the loss in estimation accuracy owing to the a priori lack of knowledge of signal duration are derived. The maximum likelihood algorithm for amplitude estimation was synthesized and analyzed. This algorithm implies that the unknown duration and the initial phase are replaced with their maximum likelihood estimates. The gain in accuracy of the maximum likelihood estimate as compared to the quasi-likelihood ones was investigated. It is shown that a priori lack of knowledge of the signal duration does not affect asymptotically the accuracy of maximum likelihood estimate of amplitude at large values of signal-to-noise ratio.
Radioelectronics and Communications Systems | 2016
A. P. Trifonov; Marina B. Bespalova; P. A. Trifonov; I. V. Gushchin
In this article we investigate the characteristics of a quasi-likelihood estimation of the time of arrival and the repetition period of ultrawideband signal of unknown form, which is received on the background of narrowband interferences with unknown parameters and of Gaussian white noise.
Radioelectronics and Communications Systems | 2012
A. P. Trifonov; Marina B. Bespalova; P. A. Trifonov
Threshold characteristics of two algorithms for the range and velocity estimation under exposure to the Gaussian narrowband interference have been found.
Radioelectronics and Communications Systems | 2008
Marina B. Bespalova
Dispersions of the range estimates have been obtained by using the local Markov approximation method. Losses in the estimate accuracy caused by the target fluctuation were also determined.
Radioelectronics and Communications Systems | 2007
Marina B. Bespalova
Dispersions of radial velocity estimates are obtained using local Markovian approximation. Precision losses due to the target’s fluctuations are determined.