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Volume 22
Issue 9
10.3390/s22093488
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Article

Application of Approximation Constructions with a Small Number of Parameters for the Estimation of a Rayleigh Fading Multipath Channel with Doppler Spectrum Spreading

by
Natalia E. Poborchaya
1,*,
Alexander V. Pestryakov
2 and
Elizaveta O. Lobova
3
1
Department of General Communication Theory, Moscow Technical University of Communications and Informatics, 111024 Moscow, Russia
2
Department of Radio Equipment and Circuitry, Moscow Technical University of Communications and Informatics, 111024 Moscow, Russia
3
Science and Research Department, Moscow Technical University of Communications and Informatics, 111024 Moscow, Russia
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(9), 3488; https://doi.org/10.3390/s22093488
Submission received: 28 March 2022 / Revised: 28 April 2022 / Accepted: 29 April 2022 / Published: 3 May 2022
(This article belongs to the Special Issue Technologies of Highly Efficient Telecommunication Systems and Devices)
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Abstract

In this article, an algorithm for joint estimation of communication channel gains and signal distortions in a direct conversion receiver is proposed. The received signal model uses approximations with a small number of parameters to reduce the computational complexity of the resulting algorithm. The estimation algorithm is obtained under the assumption of a priori uncertainty about the characteristics of the communication channel and noise distribution using the linear least squares method. Estimation is performed first by the test sequence, then by the information symbols obtained after detection. In addition, an analysis of the noise immunity of quadrature amplitude modulation (QAM) signal reception is carried out using different approximating structures in the estimation algorithm for systems with a single transmitting and receiving antenna (SISO) and for systems with multiple transmitting and receiving antennas (MIMO). Furthermore, this article examines the influence of the duration of the test signal, the number of sessions of its transmission, and the channel extrapolation interval on the quality of signal reception.
Keywords: estimation; approximation; least squares method; a priori uncertainty; direct conversion receiver; SISO; MIMO estimation; approximation; least squares method; a priori uncertainty; direct conversion receiver; SISO; MIMO

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MDPI and ACS Style

Poborchaya, N.E.; Pestryakov, A.V.; Lobova, E.O. Application of Approximation Constructions with a Small Number of Parameters for the Estimation of a Rayleigh Fading Multipath Channel with Doppler Spectrum Spreading. Sensors 2022, 22, 3488. https://doi.org/10.3390/s22093488

AMA Style

Poborchaya NE, Pestryakov AV, Lobova EO. Application of Approximation Constructions with a Small Number of Parameters for the Estimation of a Rayleigh Fading Multipath Channel with Doppler Spectrum Spreading. Sensors. 2022; 22(9):3488. https://doi.org/10.3390/s22093488

Chicago/Turabian Style

Poborchaya, Natalia E., Alexander V. Pestryakov, and Elizaveta O. Lobova. 2022. "Application of Approximation Constructions with a Small Number of Parameters for the Estimation of a Rayleigh Fading Multipath Channel with Doppler Spectrum Spreading" Sensors 22, no. 9: 3488. https://doi.org/10.3390/s22093488

APA Style

Poborchaya, N. E., Pestryakov, A. V., & Lobova, E. O. (2022). Application of Approximation Constructions with a Small Number of Parameters for the Estimation of a Rayleigh Fading Multipath Channel with Doppler Spectrum Spreading. Sensors, 22(9), 3488. https://doi.org/10.3390/s22093488

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