The Algorithm of Angular Superresolution Using the Cholesky Decomposition and its Implementation Based on Parallel Computing Technology

An algorithm of angular superresolution based on the Cholesky decomposition, which is a modification of the Capon algorithm, is proposed. It is shown that the proposed algorithm makes it possible to abandon the inversion of the covariance matrix of input signals. The proposed algorithm is compared w...

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Main Authors: Sergey E. Mishchenko, Nikolay V. Shatskiy
Format: Article
Language:English
Published: Yaroslavl State University 2022-03-01
Series:Моделирование и анализ информационных систем
Subjects:
Online Access:https://www.mais-journal.ru/jour/article/view/1604
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author Sergey E. Mishchenko
Nikolay V. Shatskiy
author_facet Sergey E. Mishchenko
Nikolay V. Shatskiy
author_sort Sergey E. Mishchenko
collection DOAJ
description An algorithm of angular superresolution based on the Cholesky decomposition, which is a modification of the Capon algorithm, is proposed. It is shown that the proposed algorithm makes it possible to abandon the inversion of the covariance matrix of input signals. The proposed algorithm is compared with the Capon algorithm by the number of operations. It is established that the proposed algorithm, with a large dimension of the problem, provides some gain both when implemented on a single-threaded and multithreaded computer. Numerical estimates of the performance of the proposed and original algorithm using parallel computing technology CUDA NVidia are obtained. It is established that the proposed algorithm saves GPU computing resources and is able to solve the problem of constructing a spatial spectrum with an increase in the dimension of the covariance matrix of input signals by almost two times.
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spelling doaj.art-e4dc46d1c71e4962917b09b17777c96d2023-03-13T08:07:35ZengYaroslavl State UniversityМоделирование и анализ информационных систем1818-10152313-54172022-03-0129161910.18255/1818-1015-2022-1-6-191231The Algorithm of Angular Superresolution Using the Cholesky Decomposition and its Implementation Based on Parallel Computing TechnologySergey E. Mishchenko0Nikolay V. Shatskiy1ФГУП “Ростовский научно-исследовательский институт радиосвязи”Радиотехнический институт имени академика А. Л. МинцаAn algorithm of angular superresolution based on the Cholesky decomposition, which is a modification of the Capon algorithm, is proposed. It is shown that the proposed algorithm makes it possible to abandon the inversion of the covariance matrix of input signals. The proposed algorithm is compared with the Capon algorithm by the number of operations. It is established that the proposed algorithm, with a large dimension of the problem, provides some gain both when implemented on a single-threaded and multithreaded computer. Numerical estimates of the performance of the proposed and original algorithm using parallel computing technology CUDA NVidia are obtained. It is established that the proposed algorithm saves GPU computing resources and is able to solve the problem of constructing a spatial spectrum with an increase in the dimension of the covariance matrix of input signals by almost two times.https://www.mais-journal.ru/jour/article/view/1604цифровые антенные решеткиалгоритм сверхразрешения кейпонаразложение холецкогометод окаймленияпараллельные вычисления
spellingShingle Sergey E. Mishchenko
Nikolay V. Shatskiy
The Algorithm of Angular Superresolution Using the Cholesky Decomposition and its Implementation Based on Parallel Computing Technology
Моделирование и анализ информационных систем
цифровые антенные решетки
алгоритм сверхразрешения кейпона
разложение холецкого
метод окаймления
параллельные вычисления
title The Algorithm of Angular Superresolution Using the Cholesky Decomposition and its Implementation Based on Parallel Computing Technology
title_full The Algorithm of Angular Superresolution Using the Cholesky Decomposition and its Implementation Based on Parallel Computing Technology
title_fullStr The Algorithm of Angular Superresolution Using the Cholesky Decomposition and its Implementation Based on Parallel Computing Technology
title_full_unstemmed The Algorithm of Angular Superresolution Using the Cholesky Decomposition and its Implementation Based on Parallel Computing Technology
title_short The Algorithm of Angular Superresolution Using the Cholesky Decomposition and its Implementation Based on Parallel Computing Technology
title_sort algorithm of angular superresolution using the cholesky decomposition and its implementation based on parallel computing technology
topic цифровые антенные решетки
алгоритм сверхразрешения кейпона
разложение холецкого
метод окаймления
параллельные вычисления
url https://www.mais-journal.ru/jour/article/view/1604
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AT sergeyemishchenko algorithmofangularsuperresolutionusingthecholeskydecompositionanditsimplementationbasedonparallelcomputingtechnology
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