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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 6. Отображено 6.
08-08-2023 дата публикации

Incoherent distribution source direction finding method under strong impact noise

Номер: CN116559768A
Автор: GAO HONGYUAN, LIU YAPENG, DU YANAN, DI YANQI, ZHAO LISHUAI, MA JINGYA, LI HUISHUANG, GUO YING, CHUAI JIGE, SU YANWEN
Принадлежит:

The invention discloses an incoherent distribution source direction finding method under strong impact noise, which comprises the following steps of: 1, acquiring snapshot sampling data, and constructing a generalized Capon spatial spectrum function after performing impact removal preprocessing; 2, initializing the quantum position of each rocket, setting parameters, and constructing a fitness function; 3, the arrow group is divided into sub-arrow groups, fitness function evaluation is carried out on all the arrows, and the quantum position of the arrow with the optimal fitness in each sub-arrow group is selected as the optimal quantum position; 4, each arrow updates the quantum position according to an archery mechanism; 5, mapping the updated quantum position of each rocket into a position, calculating an updated fitness function value, and updating the optimal quantum position of each sub-rocket group; and step 6, returning to the step 3, carrying out loop iteration to the maximum number ...

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Номер записи: 1
12-05-2023 дата публикации

Circular array direction of arrival estimation method based on quantum rhizomyidae mechanism and Sigmoid kernel correlation entropy

Номер: CN116108927A
Автор: GAO HONGYUAN, CHUAI JIGE, SUN ZHIGUO, WANG XINYUE, ZHENG YAQING, DI YANQI, MA JINGYA, GUO RUICHEN, GU XIAOYUAN, DU ZIYI
Принадлежит:

The invention provides a circular array direction-of-arrival estimation method based on a quantum rhizomyidae mechanism and Sigmoid kernel correlation entropy, a quantum optimization method is fused into a rhizomyidae bionic mechanism calculation method, a calculation method of the quantum rhizomyidae mechanism is obtained, and the convergence performance of a rhizomyidae algorithm is improved. A cross-correlation entropy covariance matrix based on a Sigmoid kernel function is constructed by using received information data, a low-order matrix based on Sigmoid kernel correlation entropy is obtained, the defect of weak impact noise resistance of second-order and above moments is eliminated, and a maximum likelihood equation based on Sigmoid kernel correlation entropy is solved in a search interval by using a designed quantum rhizonolia mechanism. The method solves the problem of large calculation amount of multi-dimensional nonlinear optimization related to the maximum likelihood method, ...

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Номер записи: 2
25-04-2023 дата публикации

Heterogeneous network multi-target resource joint allocation method

Номер: CN116017737A
Автор: GAO HONGYUAN, MA JINGYA, SUN ZHIGUO, LIU KAILONG, SUN HELIN, CHUAI JIGE, LIU TINGHUI, ZHANG ZHENYU, CHEN XUAN
Принадлежит:

The invention discloses a heterogeneous network multi-target resource joint allocation method, which comprises the following steps of: in a Macro-Femtocell double-layer heterogeneous cellular network environment, comprehensively considering two system evaluation indexes, namely spectrum efficiency and relative energy consumption, constructing a multi-target optimization function, and quickly obtaining a multi-target resource joint allocation result through a quantum political optimization mechanism. And the maximization of relative energy consumption can be realized while the spectrum efficiency is ensured. According to the method, the problem of multi-target resource joint allocation in actual life can be solved, the designed method is stable in performance, the optimal multi-target resource joint allocation scheme can be solved in a short time, the spectrum efficiency is guaranteed, meanwhile, the maximization of the relative energy consumption of the network can be guaranteed, green ...

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Номер записи: 3
11-08-2023 дата публикации

Large-scale MIMO square matrix signal source number and direction of arrival joint estimation method

Номер: CN116582158A
Автор: GAO HONGYUAN, CHUAI JIGE, SU YANWEN, GUO RUICHEN, LIU KE, WANG QINHONG, GU XIAOYUAN, LIU KAILONG, DU ZIYI, CHEN XUAN
Принадлежит:

The invention discloses a joint estimation method for a source number and a direction of arrival of a large-scale MIMO square matrix. The joint estimation method comprises the following steps: establishing a MassiveMIMO square matrix model in an impact noise environment; constructing a weighted signal subspace fitting equation based on the Laplacian kernel correlation entropy; a target function is obtained through simplification by using a sectional type thought; initializing an individual quantum position to obtain a global optimal quantum position; initializing a quantum ice crystal energy value, and determining a temporary lake center position; updating an energy value and a historical quantum position space; updating the quantum position; a new generation of quantum ice crystals are generated according to roulette selection, and the global optimal quantum position is updated; judging whether the maximum number of iterations is reached or not, and if not, returning to the step 5; and ...

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Номер записи: 4
07-04-2023 дата публикации

Single-snapshot direction-of-arrival estimation method based on hyperbolic tangent kernel correlation entropy

Номер: CN115932714A
Автор: GAO HONGYUAN, LIU KAILONG, HAN YONG-CHUL, SUN ZHIGUO, CHUAI JIGE, LIU YAPENG, SUN KEXIN, ZHAO LISHUAI, LIU TINGHUI, MA JINGYA
Принадлежит:

The invention discloses a single-snapshot direction-of-arrival estimation method based on hyperbolic tangent kernel correlation entropy. The method comprises the following steps: establishing a single-snapshot sampling signal model; constructing a low-order matrix based on hyperbolic tangent kernel correlation entropy; constructing an orthogonal projection matrix, and obtaining a single-snapshot weighted signal subspace fitting equation based on hyperbolic tangent kernel correlation entropy; initializing a quantum locust population and setting parameters; calculating fitness values of the mapping state positions of the quantum locusts, and recording a quantum position corresponding to the mapping state position with the maximum fitness value; updating a quantum locust social location and an adaptive weight coefficient, and generating a Fibonacci weight; according to the locust and Fibonacci search strategy, using a simulated quantum revolving door to update the quantum position of the quantum ...

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Номер записи: 5
14-04-2023 дата публикации

Multi-target relay selection method of energy acquisition cognitive relay network

Номер: CN115968009A
Автор: GAO HONGYUAN, MA JINGYA, REN LIQUN, LIU YAPENG, ZHANG YUZE, DI YANQI, GU XIAOYUAN, CHUAI JIGE, CHEN SHICONG, CHEN XUAN
Принадлежит:

The invention provides a multi-target relay selection method for an energy harvesting cognitive relay network, which comprehensively considers network energy efficiency and signal-to-noise ratio in an energy harvesting cognitive relay network environment, constructs a new multi-target function for solving a discrete optimization problem, and provides a multi-target relay selection method for an energy harvesting cognitive relay network. And a multi-target relay selection method is quickly obtained through a multi-target quantum empire butterfly optimization mechanism, so that the maximization of the network energy efficiency can be realized while the signal-to-noise ratio is ensured, and a new thought and a new method are provided for solving a relay selection scheme of an energy acquisition cognitive relay network.

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Номер записи: 6