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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 9. Отображено 9.
10-12-2014 дата публикации

Undersampled signal arrival time difference measuring method

Номер: CN104202103A
Автор: TANG SILONG, WAN QUN, DING XUEKE, CONG XUNCHAO, WANG CHANGSHENG, XIAO HONGKUN, ZOU LIN, YIN JIHAO
Принадлежит:

The invention discloses an undersampled signal arrival time difference measuring method. The method includes adopting at least 4 radio receivers to receive signals emitted by one target, and determining the time domain sampling sequence of each radio receiver for signal receive by undersampling; performing discrete time Fourier conversion on the time domain sampling sequence of each radio receiver for signal receive to determine the frequency domain sampling sequence of each radio receiver for signal receive; establishing signal arrival time difference constraints of spectrum aliasing among the frequency domain sampling sequences of all the radio receivers for signal receive; performing alternate two-step iterative data processing through the signal arrival time difference constraints of the spectrum aliasing, determining the minimum fitting error corresponding to a time difference of searching, and measuring the time difference of searching corresponding to the minimum value of the minimum ...

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Номер записи: 1
02-05-2023 дата публикации

Radiation source intersection positioning method based on multi-station array optimization

Номер: CN116047407A
Автор: LIAO TIANXING, TIAN MIAO, ZHANG YUYANG, CONG XUNCHAO, LI GUI
Принадлежит:

The invention discloses a radiation source intersection positioning method based on multi-station formation optimization, and the method comprises the steps: carrying out the preliminary positioning, enabling a result obtained after the preliminary positioning to be used for determining a small space block, and then selecting an optimal formation corresponding to the small space block through comparing the geometric dilution degrees of different formations. And establishing a relation equation between the observation station position of the formation and the target position, and solving to obtain the target position with higher precision. According to the invention, rapid positioning in a wider area can be realized, and the positioning precision in some areas can be improved.

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Номер записи: 2
05-05-2023 дата публикации

Multi-target positioning method based on burst signal association

Номер: CN116068486A
Автор: LIAO TIANXING, ZHANG YUYANG, CONG XUNCHAO, LI GUI
Принадлежит:

The invention discloses a multi-target positioning method based on burst signal association. The method comprises the following steps: acquiring time, frequency, bandwidth and azimuth angle information of signals received by each station; all azimuth angle information in the detection result of each station is extracted and de-noised; classifying the denoised azimuth angle information, and if any azimuth angle information does not belong to the existing class, establishing a new class; correlation matching is carried out on the detection results of all the stations classified according to the azimuth angles; and according to the geometrical relationship between each station and the target position, solving and obtaining a target positioning result by using the detection result after association matching. According to the invention, stable positioning of multiple targets can be realized, and high-precision positioning of multiple targets can also be realized.

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Номер записи: 3
04-04-2023 дата публикации

Open set modulation identification method based on residual network

Номер: CN115913850A
Автор: FENG JIA, ZHAO HUANYUE, GAN YI, CONG XUNCHAO, LI GUI
Принадлежит:

The invention discloses an open set modulation identification method based on a residual network, and relates to the technical field of signal identification, and the method comprises the steps: firstly, obtaining baseband signal samples of various modulations, marking the modulation types of the baseband signal samples, and carrying out the grouping of to-be-classified modulation patterns according to the modulation characteristics; preprocessing and recoding the baseband signal sample to form a data set, and dividing the data set into a training set and a test set; secondly, establishing a deep learning model based on a residual network for a modulation identification task; performing supervised training on the deep learning model according to the training set; and finally, inputting the test set into the trained deep learning model, and carrying out modulation signal classification. The method is easy to train, high in convergence speed, multiple in recognition types, high in speed, ...

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Номер записи: 4
30-04-2014 дата публикации

Measuring method for antenna array direction vectors of a plurality of signals with unknown directions

Номер: CN103760518A
Автор: XU BAOGEN, WAN QUN, WAN YIHE, TANG SILONG, CONG XUNCHAO, GONG HUI, DING XUEKE, ZHOU ZHIPING
Принадлежит:

The invention, which belongs to the electronic information field, relates to a measuring method for antenna array direction vectors of a plurality of signals with unknown directions. The measuring method comprises the following steps: carrying out initialization processing; determining a sample autocorrelation matrix of a receiving signal vector and a virtual vector of a centrosymmetric antenna array; determining a noise sub space of the sample autocorrelation matrix; and determining an array direction vector. More particularly, with utilization of the centrosymmetric feature of the antenna array, the virtual vector is generated by the receiving signal vector; an orthogonal relation between the noise sub space of the sample autocorrelation matrix determined based on the receiving signal vector and the virtual vector and an antenna array direction vector of a non-circular signal is established by utilizing the non-circular feature of the signal; and thus the direction vector of the antenna ...

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Номер записи: 5
28-04-2023 дата публикации

Broadband spectrum detection method based on saliency

Номер: CN116028779A
Автор: XIE WEITONG, ZHANG YUYANG, OUYANG MEIDAN, GAN YI, CONG XUNCHAO, LI GUI
Принадлежит:

The invention discloses a broadband spectrum detection method based on saliency, and the method comprises the steps: carrying out the saliency map conversion of a one-dimensional broadband spectrum data set, and converting original data into a one-dimensional saliency vector; inputting the converted salient vector into a deep salient detection network for supervised training, extracting a low-level detail feature, a high-level semantic feature and a global context feature of the signal, and fusing the extracted features to obtain a fused feature; performing linear interpolation up-sampling on the fused features, reconstructing an input salient vector, and calculating cross entropy loss of the reconstructed vector and the input salient vector; and finally, calculating parameter information such as the number, the frequency, the bandwidth and the signal-to-noise ratio of the signals based on an output result, and completing broadband spectrum detection in a complex electromagnetic environment ...

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Номер записи: 6
17-09-2014 дата публикации

Method for adopting uniform circular arrays to quickly determine spatial spectrums

Номер: CN104049234A
Автор: WAN QUN, XU BAOGEN, WAN YIHE, TANG SILONG, ZOU LIN, CONG XUNCHAO, LIU JIANGBO, DING XUEKE, RAO ZHONGCHU
Принадлежит:

The invention belongs to a method for adopting uniform circular arrays to quickly determine spatial spectrums. The method comprises the steps of performing initialization treatment, confirming dual vectors of vectors in all of directions, confirming dual vectors of column vectors in signal subspaces, performing quick discrete Fourier transformation to confirm vectors of all of spectrums and finally confirming the spatial spectrums corresponding to all of searching angles. The method utilizes cyclic shift relation of direction vectors of the uniform circular arrays, a mode that spatial spectrum values corresponding to the searching angles are calculated to form the spatial spectrums in the prior art is changed into a mode that the spatial spectrums are determined through the direction vectors in direction vector subsets of the uniform circular arrays, the required time for determining the spatial spectrums is less than one fourth of the time required in the prior art. Therefore, the method ...

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Номер записи: 7
06-06-2023 дата публикации

Broadband spectrum detection method

Номер: CN116223910A
Автор: XIE WEITONG, ZHANG YUYANG, OUYANG MEIDAN, GAN YI, CONG XUNCHAO, LI GUI
Принадлежит:

The invention discloses a broadband spectrum detection method, and the method comprises the steps: responding to the obtained broadband spectrum original data, and converting the original data into a one-dimensional significant vector; extracting signal features of the salient vectors; performing linear interpolation up-sampling on the signal features, reconstructing the salient vector, and calculating cross entropy loss of a reconstructed vector and the salient vector; and calculating parameter information required by broadband spectrum detection according to the cross entropy loss. According to the invention, broadband spectrum detection in a complex electromagnetic environment can be completed.

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Номер записи: 8
26-05-2023 дата публикации

Multi-sensor intelligent cooperative control method, device, equipment and medium

Номер: CN116165886A
Автор: HU CHAO, HUANG JIE, MA SHUNYU, ZHANG YUYANG, LI GUI, CONG XUNCHAO, ZHENG BOYUAN
Принадлежит:

The invention discloses a multi-sensor intelligent cooperative control method, device and equipment and a medium, and the method comprises the steps: building a reinforcement learning agent model, and enabling a state space of the reinforcement learning agent model to comprise global comprehensive situation expression and single sensor state embedded expression, the action space of the reinforcement learning agent model comprises action output values abstracted by different tasks executed by multiple sensors; the reinforcement learning agent model is trained through sampling, learning of the reinforcement learning agent model is guided through a reward shaping project, and training comprises centralized training and decentralized execution; and cooperatively controlling a plurality of sensors through the reinforcement learning agent model obtained by loading training. According to the invention, cross-means and cross-region cooperative control is realized for multiple sensors by using a ...

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Номер записи: 9