Effective Signal Detection for the Spatial Multiplexing Mimo Systems

Бакулин, М. Г.; Vityazev, Vladimir; Kreyndelin, V. B.; Shumov, A. P.

doi:10.1615/telecomradeng.v77.i13.30

Cited by 16 publications

(3 citation statements)

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“…Receiving UWB signals using multielement systems (MIMO technology) [10] can be carried out in various embodiments. In this section, the case when the antenna array is made the traditional way, and operates as part of an UWB receiver that linear filtering signals from its output (Fig.…”

Section: Receive Modementioning

confidence: 99%

Antenna Arrays Focused on Broadband Signals

Vedenkin,

Sedelnikov,

Nasybullin

2016

JTIT

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Broadband and ultra-wideband signals are increasingly used in modern radio systems. Traditional performance of evaluation antennas operating with narrowband signals are not always adequately reflect the characteristics of broadband antennas, at least in view of the frequency dependence of the antenna pattern. Accounting for broadband signals the antennas becomes important in the low-frequency range of the spectrum. Systems using these types of signals may include control of the atmosphere and measuring its frequency-selective properties in the range meter and decameter wavelengths. Possibility of spatial selection based on focusing of broadband signals in this case promises to implement a number of additional features. Therefore, it is important to evaluate the properties of antennas based on the spectral content of the signal, as well as taking into account the ways of its processing in the receiving equipment. Consideration features of functioning the antenna array, focused on broadband signal is devoted to this article.

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Section: Receive Modementioning

confidence: 99%

Antenna Arrays Focused on Broadband Signals

Vedenkin,

Sedelnikov,

Nasybullin

2016

JTIT

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“…The practice of using DFT and 2D DFT, on the one hand, confirmed their efficiency, on the other hand, revealed a number of effects: aliasing effect, scalloping effect, picket fence effect, negatively affecting on the results of analysis and information processing [16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Fourier-processing of finite discrete two-dimensional (FDTD) signals (including images) in informational control (IC) systems is the most important method for studying processes and analyzing information [1][2][3][4][5][6][7][8]. The theoretical basis of Fourierprocessing of FDTD signals is two-dimensional direct and inverse discrete Fourier transforms (2D DFT, 2D IDFT) [9][10][11][12][13][14][15] which can be represented in form of:…”

Section: Introductionmentioning

confidence: 99%

Theoretical foundations of digital vector Fourier analysis of two-dimensional signals padded with zero samples

Пономарева

Пономарев

2021

ICS

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Introduction: The practice of using Fourier-processing of finite two-dimensional signals (including images), having confirmed its effectiveness, revealed a number of negative effects inherent in it. A well-known method of dealing with negative effects of Fourier-processing is padding signals with zeros. However, the use of this operation leads to the need to provide information control systems with additional memory and perform unproductive calculations. Purpose: To develop new discrete Fourier transforms for efficient and effective processing of two-dimensional signals padded with zero samples. Method: We have proposed a new method for splitting a rectangular discrete Fourier transform matrix into square matrices. The method is based on the application of the modulus comparability relation to order the rows (columns) of the Fourier matrix. Results: New discrete Fourier transforms with variable parameters were developed, being a generalization of the classical discrete Fourier transform. The article investigates the properties of Fourier transform bases with variable parameters. In respect to these transforms, the validity has been proved for the theorems of linearity, shift, correlation and Parseval's equality. In the digital spectral Fourier analysis, the concepts of a parametric shift of a two-dimensional signal, and a parametric periodicity of a two-dimensional signal have been introduced. We have estimated the reduction of the required memory size and the number of calculations when applying the proposed transforms, and compared them with the discrete Fourier transform. Practical relevance: The developed discrete Fourier transforms with variable parameters can significantly reduce the cost of Fourier processing of two-dimensional signals (including images) padded with zeros.

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