Temporary source synchronous positioning method and device, equipment and storage medium

By performing parallel monitoring and calibration mapping of radio astronomy data, the problem of balancing time resolution, imaging sensitivity and positioning accuracy in radio astronomy has been solved, achieving efficient and accurate transient source positioning.

CN121937584APending Publication Date: 2026-04-28SHANGHAI ASTRONOMICAL OBSERVATORY CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI ASTRONOMICAL OBSERVATORY CHINESE ACAD OF SCI
Filing Date
2026-01-13
Publication Date
2026-04-28

AI Technical Summary

Technical Problem

Existing technologies struggle to simultaneously achieve temporal resolution, imaging sensitivity, and positioning accuracy in radio astronomy, especially in transient imaging where there is a problem of insufficient calibration.

Method used

By acquiring raw voltage data in the time domain and long-term data in the image domain for parallel monitoring, a trigger signal is generated and the imaging mode is determined. The calibration information of the long-term data in the image domain is used to calibrate the short-term data and generate a calibrated transient source image.

Benefits of technology

It enables rapid imaging and high-precision positioning of radio transient sources, improves detection efficiency and imaging reliability, solves the positioning offset problem in transient imaging, and maintains the calibration consistency of imaging results.

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Abstract

The invention provides a temporary source synchronous positioning method, device and equipment and a storage medium, and relates to the technical field of radio astronomical data processing. The method comprises the following steps: acquiring time domain original voltage data and image domain long-time data under the same astronomical observation scene; and carrying out parallel monitoring on the time domain original voltage data and the image domain long-time data. If a temporary source signal is monitored in any data, generating a trigger signal, and determining an imaging mode based on the trigger signal; and executing data interception according to the imaging mode to obtain short-period data. And extracting calibration information in the long-time data of the image domain, calibrating the short-time data according to the calibration information, generating a calibrated temporary source image, and outputting a positioning result of a temporary source in the temporary source image. The method is used for achieving the effect of considering the time resolution, the imaging sensitivity and the positioning precision while positioning the transient source.
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Description

Technical Field

[0001] This application relates to the field of radio astronomy data processing technology, and more specifically, to a method, apparatus, device, and storage medium for synchronous positioning of transient sources. Background Technology

[0002] Currently, radio transient sources include fast radio bursts, solar radio bursts, planetary magnetospheric bursts, and various explosive stellar activities. These targets are often characterized by suddenness, short timescales, and rapid changes in orientation, thus requiring data processing methods with high temporal resolution and high sensitivity.

[0003] In existing technologies, transient source searches are typically conducted independently through either type of monitoring channel: time-domain incoherent or coherent searches based on the original voltage; or image-domain monitoring based on long-term integrated images.

[0004] However, in the existing technology, time-domain incoherent or coherent search based on the original voltage has high time resolution but lacks stable calibration; image domain monitoring based on long-term integrated images has good calibration but lacks time sensitivity, which makes it difficult to simultaneously achieve time resolution, imaging sensitivity and positioning accuracy. Summary of the Invention

[0005] The purpose of this application is to provide a synchronous positioning method, apparatus, device and storage medium for transient sources, so as to solve the above-mentioned problems existing in the prior art, and to simultaneously take into account temporal resolution, imaging sensitivity and positioning accuracy when locating transient sources.

[0006] Firstly, a synchronous localization method for transient sources is provided, which may include: Acquire raw time-domain voltage data and long-term image-domain data under the same astronomical observation scenario; The raw voltage data in the time domain and the long-term data in the image domain are monitored in parallel. If a transient source signal is detected in any data, a trigger signal is generated, and an imaging mode is determined based on the trigger signal; data interception is performed according to the imaging mode to obtain short-term data; The calibration information is extracted from the long-term data in the image domain, and the short-term data is calibrated according to the calibration information to generate a calibrated transient source image. The localization result of the transient source in the transient source image is then output.

[0007] Secondly, a synchronous positioning device for a transient source is provided, the device comprising: The acquisition module is used to acquire raw time-domain voltage data and long-term image-domain data under the same astronomical observation scenario; The monitoring module is used to perform parallel monitoring of the raw voltage data in the time domain and the long-term data in the image domain; The interception module is used to generate a trigger signal if a transient source signal is detected in any data, and determine the imaging mode based on the trigger signal; and perform data interception according to the imaging mode to obtain short-term data. The calibration module is used to extract calibration information from the long-term data of the image domain, calibrate the short-term data according to the calibration information, generate a calibrated transient source image, and output the localization result of the transient source in the transient source image.

[0008] Thirdly, an electronic device is provided, which includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When a processor executes a program stored in memory, it implements any of the steps described in the first aspect above.

[0009] Fourthly, a computer-readable storage medium is provided, wherein a computer program is stored therein, and when executed by a processor, the computer program implements the steps of any of the methods described in the first aspect above.

[0010] This application provides a method, apparatus, device, and storage medium for synchronous positioning of transient sources, acquiring raw time-domain voltage data and long-term image-domain data under the same astronomical observation scenario. The raw time-domain voltage data and long-term image-domain data are monitored in parallel. If a transient source signal is detected in either data set, a trigger signal is generated, and an imaging mode is determined based on the trigger signal. Data truncation is performed according to the imaging mode to obtain short-term data. Calibration information is extracted from the long-term image-domain data, and the short-term data is calibrated based on the calibration information to generate a calibrated transient source image. The positioning result of the transient source in the transient source image is then output. In this scheme, by simultaneously monitoring raw time-domain voltage data and long-term image-domain data, upon detecting a transient source signal, the imaging mode is automatically selected based on the monitoring method, and the calibration information from the long-term image-domain data is used to calibrate and map the short-term data, thereby achieving rapid imaging and high-precision positioning of the transient source. Therefore, by establishing triggering connections between different time scales and different monitoring modes, the detection of radio transient sources is made more efficient, the imaging more accurate and reliable, and the problem of insufficient calibration caused by insufficient data is significantly improved. High-precision calibration is performed through calibration mapping, which solves the positioning offset problem that is common in transient imaging. This allows the imaging results to maintain the calibration standard consistent with long-term data in the image domain, and thus can simultaneously take into account temporal resolution, imaging sensitivity and positioning accuracy when locating transient sources. Attached Figure Description

[0011] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A flowchart illustrating a method for synchronizing and locating transient sources, provided in an embodiment of this application; Figure 2 A flowchart illustrating a method for synchronizing and locating transient sources, provided in an embodiment of this application; Figure 3 A flowchart illustrating a method for synchronizing and locating transient sources, provided in an embodiment of this application; Figure 4 A schematic diagram of the structure of a synchronization positioning device for a transient source provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. Unless otherwise defined, the technical or scientific terms used in this application should have the ordinary meaning understood by those skilled in the art. The words "first," "second," and similar terms used in this application do not indicate any order, quantity, or importance, but are only used to distinguish different components. The words "comprising" or "including," etc., mean that the element or object preceding the word covers the element or object listed after the word and its equivalents, but do not exclude other elements or objects. The words "connected," "coupled," or "connected," etc., are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up," "down," "left," "right," etc., are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0014] Currently, radio transient sources include fast radio bursts, solar radio bursts, planetary magnetospheric bursts, and various explosive stellar activities. These targets are often characterized by suddenness, short timescales, and rapid changes in orientation, thus requiring data processing methods with high temporal resolution and high sensitivity.

[0015] In one example, transient source searches are typically conducted independently through either type of monitoring channel: time-domain incoherent or coherent searches based on the original voltage; or image-domain monitoring based on long-term integrated images. However, in the prior art, time-domain incoherent or coherent searches based on the original voltage have high temporal resolution but lack stable calibration; image-domain monitoring based on long-term integrated images has good calibration but lacks temporal sensitivity, thus making it difficult to simultaneously achieve temporal resolution, imaging sensitivity, and positioning accuracy.

[0016] In one example, transient imaging is often limited by the short observation data, making it difficult to obtain sufficient calibration. For example, ionospheric phase shifts and changes in direction-dependent gain can lead to problems such as transient source position shifts and inaccurate photometric recovery.

[0017] The transient source synchronization and positioning method provided in this application can be applied to electronic devices, terminal devices, transient source synchronization and positioning devices, or other devices or equipment capable of executing this embodiment, without limitation. This application is applicable to large-scale radio arrays including the Murchison Widefield Array (MWA), the Low Frequency Array (LOFAR), the MeerKAT radio telescope, and the future Square Kilometre Array (SKA), and has significant application value in the detection of fast radio bursts, monitoring of solar eruptions, and other transient celestial phenomena.

[0018] Terminal equipment can be user equipment (UE) such as mobile phones, smartphones, laptops, digital broadcast receivers, personal digital assistants (PDAs), and tablet computers (PADs), handheld devices, in-vehicle devices, wearable devices, computing devices or other processing devices connected to a wireless modem, mobile stations (MS), mobile terminals, etc. This terminal has the ability to communicate with one or more core networks via a radio access network (RAN).

[0019] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application. Furthermore, the embodiments and features in the embodiments of this application can be combined with each other without conflict.

[0020] Figure 1 This is a flowchart illustrating a method for synchronizing and locating transient sources, as provided in an embodiment of this application. Figure 1 As shown, the method may include: Step S101: Obtain the original voltage data in the time domain and the long-term data in the image domain under the same astronomical observation scenario.

[0021] For example, based on a radio array, time-domain raw voltage data and image-domain long-term data under the same astronomical observation scenario are acquired simultaneously. The time-domain raw voltage data can be a raw voltage time series, and the image-domain long-term data is a long-term integrated image obtained from the same observation; for example, the long-term integrated image can be a sky brightness distribution map, etc., and there are no limitations on this.

[0022] Step S102: Perform parallel monitoring of the original voltage data in the time domain and the long-term data in the image domain.

[0023] For example, parallel monitoring is performed on raw voltage data in the time domain and long-term data in the image domain.

[0024] Step S103: If a transient source signal is detected in any data, a trigger signal is generated, and the imaging mode is determined based on the trigger signal; data interception is performed according to the imaging mode to obtain short-term data.

[0025] For example, the analysis is performed on raw voltage data in the time domain and long-term data in the image domain, respectively. Specifically, for the raw voltage data in the time domain, incoherent processing is performed to obtain the power change over time. Then, based on a preset threshold monitoring or time-frequency analysis algorithm, obvious sudden events in the power change, i.e., transient source signals, are identified. For the long-term data in the image domain, image difference processing or image overlay processing is performed to monitor the location of potential transient sources, thereby obtaining the transient source signals.

[0026] Then, when a sudden transient source signal is detected in any data, a trigger signal is generated, and the imaging mode is determined based on the trigger signal. According to the imaging mode, data interception or coherent beamforming is performed on the data in which the transient source signal was detected to obtain short-term data.

[0027] Step S104: Extract calibration information from long-term data in the image domain, calibrate short-term data based on the calibration information, generate calibrated transient source images, and output the localization results of transient sources in the transient source images.

[0028] For example, since short-segment imaging is often limited by the shortness of data segments or insufficient signal-to-noise ratio, making it difficult to obtain reliable calibration information, calibration information from long-term image domain data is extracted and mapped onto the imaging processing of short-segment data using directional difference or interpolation methods. Finally, a calibrated transient source image is generated through imaging, and the localization result of the transient source in the transient source image is output. The calibration information includes ionospheric phase shift, directional correlation gain, and array phase calibration, etc.

[0029] Furthermore, the photometric variation curve, localization variation, and dynamic signal-to-noise ratio (SNR) enhancement effect are analyzed, and a unified output of the transient source's localization, localization variation, photometric evolution curve, and related parameters is provided. These related parameters include the temporal variation curve after SNR enhancement. Optionally, when applying calibration information to short-segment data imaging, the time-scale mapping of calibration information can be achieved through methods such as directional difference models, ionospheric refraction models, or directional correlation gain interpolation. Specifically, when applying calibration information to short-segment imaging, the time-scale mapping of calibration information can be achieved through methods such as directional difference models, ionospheric refraction models, or directional correlation gain interpolation.

[0030] Therefore, through data calibration, the original time-domain voltage data avoids problems such as transient source position shift and inaccurate photometric recovery.

[0031] The method provided in this application acquires raw time-domain voltage data and long-term image-domain data under the same astronomical observation scenario. The raw time-domain voltage data and long-term image-domain data are monitored in parallel. If a transient source signal is detected in either data set, a trigger signal is generated, and the imaging mode is determined based on the trigger signal. Data truncation is performed according to the imaging mode to obtain short-term data. Calibration information is extracted from the long-term image-domain data, and the short-term data is calibrated based on the calibration information to generate a calibrated transient source image. The location result of the transient source in the transient source image is then output. In this scheme, by simultaneously monitoring raw time-domain voltage data and long-term image-domain data, after detecting a transient source signal, the imaging mode is automatically selected according to the monitoring method, and the calibration information from the long-term image-domain data is used to calibrate and map the short-term data, thereby achieving rapid imaging and high-precision location of the transient source. Therefore, by establishing trigger connections between different time scales and different monitoring modes, the detection of radio transient sources is more efficient, the imaging is more accurate and reliable, and the problem of insufficient calibration caused by insufficient data is significantly improved. High-precision calibration through calibration mapping solves the common problem of positioning offset in transient imaging, enabling imaging results to maintain calibration standards consistent with long-term data.

[0032] Figure 2 A flowchart illustrating a method for synchronizing and locating transient sources provided in this application is shown below. Figure 2 As shown, in this embodiment... Figure 1 Based on the embodiments, the method is described in detail below, and the method includes: Step S201: Obtain the original voltage data in the time domain and the long-term data in the image domain under the same astronomical observation scenario.

[0033] For example, Figure 3 A flowchart illustrating a method for synchronizing and locating transient sources provided in this application is shown below. Figure 3 As shown, it includes: starting by acquiring radio array observation data, which includes raw voltage data in the time domain and long-term data in the image domain. For example, the raw voltage data in the time domain is the raw voltage time series, and the long-term data in the image domain is the long-term integrated image.

[0034] Step S202: Perform parallel monitoring of the raw voltage data in the time domain and the long-term data in the image domain.

[0035] In one example, S202 includes: for raw time-domain voltage data, performing incoherent processing on the raw time-domain voltage data to obtain time-series power change data; identifying transient source signals in the power change data based on a preset threshold monitoring or time-frequency analysis algorithm; for long-term image domain data, performing image difference processing or image overlay processing on the long-term image domain data to monitor and obtain transient source signals.

[0036] For example, such as Figure 3 As shown, parallel monitoring is performed on raw time-domain voltage data and long-term image-domain data. Specifically, for the raw time-domain voltage data, incoherent monitoring processing is performed to obtain time-series power change data. Then, based on a preset threshold monitoring or time-frequency analysis algorithm, obvious sudden events, i.e., transient source signals, are identified in the power change data. For long-term image-domain data (also known as...),... Figure 3 The image domain long-term image is used to perform image difference processing or image overlay processing on the long-term image domain data to monitor the location of potential transient sources and thus obtain transient source signals.

[0037] Step S203: If a transient source signal is detected in any data, a trigger signal is generated, and the imaging mode is determined based on the trigger signal.

[0038] In one example, S203 includes: if a transient source signal is detected in any data, generating a trigger signal and obtaining event information of the transient source signal based on the data of the detected transient source signal; determining the imaging mode based on the trigger signal; wherein the event information includes time information or spatial location information.

[0039] In one example, "if a transient source signal is detected in any data, a trigger signal is generated, and event information of the transient source signal is obtained based on the data of the detected transient source signal; based on the trigger signal, the imaging mode is determined," includes: if a transient source signal is detected in the raw voltage data in the time domain, a trigger signal is generated, and event information of the transient source signal is obtained based on the raw voltage data in the time domain; based on the trigger signal, the imaging mode is determined to be a transient imaging mode; or, if a transient source signal is detected in long-term data in the image domain, a trigger signal is generated, and event information of the transient source signal is obtained based on the long-term data in the image domain; based on the trigger signal, the imaging mode is determined to be a coherent beam imaging mode.

[0040] For example, such as Figure 3 As shown, the system determines whether a transient source signal is detected. If a transient source signal is detected, it determines which detection channel the transient source originates from. When a sudden transient source signal is detected in the raw time-domain voltage data, a trigger signal is generated. Based on the raw time-domain voltage data, information such as the event occurrence time is recorded to obtain the event information of the transient source signal. Then, based on the trigger signal, the imaging mode is determined to be transient imaging mode. At this time, the event information includes time information.

[0041] Alternatively, when a sudden change in position or a newly emerging transient source signal is detected in long-term image domain data, a trigger signal is generated, and the event information and time of the transient source signal are obtained based on the long-term image domain data. Then, based on the trigger signal, the imaging mode is determined to be coherent beam imaging mode. In this case, the event information includes spatial location information, which can be used to determine the sky coordinates.

[0042] Step S204: Perform data interception according to the imaging mode to obtain short-term data.

[0043] In one example, the event information includes time information or spatial location information, and the event information is obtained based on the data of the detected transient source signal; S204 includes: if the imaging mode is transient imaging mode, then extract the short-segment data corresponding to the time information from the original voltage data in the time domain.

[0044] In one example, the event information includes time information or spatial location information, and the event information is obtained based on the data of the detected transient source signal; S204 includes: if the imaging mode is coherent beam imaging mode, then based on the event information, a coherent beam pointing to the spatial location information is constructed in the long-term data of the image domain, and the coherent beam is short-term data.

[0045] For example, event information includes time information or spatial location information. For instance... Figure 3 As shown, if the imaging mode is transient imaging mode, the event information is time information. From the original time-domain voltage data, a short-segment array of data corresponding to the time information is extracted, i.e., short-segment data, and transient imaging is performed based on this short-segment data. For transient events with short time scales, a fast imaging inversion framework is used to achieve high temporal resolution transient image reconstruction.

[0046] If the imaging mode is coherent beamforming, the event information is spatial location information. Based on this spatial location information, a coherent beam pointing towards the target direction is constructed from the original data, i.e., long-term data in the image domain. The target direction is the direction pointing towards the spatial location information, and the coherent beam represents short-term data. This allows for the acquisition of a highly sensitive coherent composite signal from long-term data in the image domain. Coherent beamforming is suitable for transient sources with well-defined locations but weak signals.

[0047] Step S205: Extract calibration information from long-term data in the image domain, calibrate short-term data based on the calibration information, generate a calibrated transient source image, and output the localization result of the transient source in the transient source image.

[0048] In one example, S205 includes: extracting calibration information from long-term image domain data; mapping the calibration information to short-term data imaging processing using a directional difference method or an interpolation method to obtain calibrated short-term data; performing imaging reconstruction based on the calibrated short-term data to generate a calibrated transient source image; and analyzing and processing the transient source image to output the localization result of the transient source in the transient source image.

[0049] For example, such as Figure 3 As shown, for raw voltage data in the time domain, reliable calibration information is difficult to obtain due to the limitations of short-segment imaging, which is often restricted by the shortness of the data segments or insufficient signal-to-noise ratio. Therefore, data from long-term data in the image domain (i.e., Figure 3 The calibration information is extracted from long-term images and mapped onto short-term data imaging using directional difference or interpolation methods. Transient imaging, i.e., high temporal resolution imaging reconstruction, is then performed. Finally, a calibrated transient source image is generated from the imaging. This transient source image is analyzed and processed to output the localization results of the transient sources within it. The calibration information includes ionospheric phase shift, directional correlation gain, and phase calibration.

[0050] Furthermore, the photometric variation curve, localization variation, and dynamic signal-to-noise ratio (SNR) enhancement effect are analyzed, and the localization, localization variation, photometric evolution curves, and related parameters of the transient source are uniformly output. These related parameters include the temporal variation curve after SNR enhancement. Optionally, when applying calibration information to short-term data imaging, the time-scale mapping of calibration information can be achieved through methods such as directional difference models, ionospheric refraction models, or directional correlation gain interpolation.

[0051] For long-term image domain data, data from long-term image domain data (i.e.) Figure 3 The calibration information is extracted from long-term images and applied to coherent beam imaging. Coherent beam imaging is performed to obtain high-sensitivity imaging results. Finally, a calibrated transient source image is generated, and the transient source image is analyzed and processed to output the localization results of the transient sources in the transient source image. The calibration information includes ionospheric phase shift, direction-correlation gain, and phase calibration.

[0052] Furthermore, the photometric variation curve, localization variation, and dynamic signal-to-noise ratio enhancement effect are analyzed, and the localization, localization variation, photometric evolution curve, and related parameters of the transient source are uniformly output. The related parameters include the time-domain variation curve after signal-to-noise ratio enhancement.

[0053] The method provided in this application acquires raw time-domain voltage data and long-term image-domain data under the same astronomical observation scenario. The raw time-domain voltage data and long-term image-domain data are monitored in parallel. If a transient source signal is detected in either data set, a trigger signal is generated, and the imaging mode is determined based on the trigger signal. Data truncation is performed according to the imaging mode to obtain short-term data. Calibration information is extracted from the long-term image-domain data, and the short-term data is calibrated based on the calibration information to generate a calibrated transient source image. The location result of the transient source in the transient source image is then output. Therefore, by simultaneously monitoring the time-domain data and long-term image-domain data of the radio array, after detecting transient source signals, the transient imaging mode or coherent beam imaging mode is automatically selected based on the time or spatial location information of the monitoring results, and short-term data is obtained. Furthermore, calibration information such as ionospheric calibration, direction-correlation gain, and phase calibration is extracted from the long-term image-domain data, and the short-term data (i.e., instantaneous data) is calibrated and mapped. This enables the transient imaging based on the instantaneous data to have high temporal resolution while maintaining high accuracy, effectively improving the radio array's detection sensitivity, imaging accuracy, and positioning accuracy for transient sources.

[0054] This scheme simultaneously monitors raw voltage data in the time domain and long-term data in the image domain. Upon detecting a transient source signal, it automatically selects the imaging mode based on the monitoring method and uses calibration information from the long-term image domain data to perform calibration mapping on the short-term data, thereby achieving rapid imaging and high-precision positioning of the transient source. Therefore, by establishing triggering connections between different time scales and monitoring modes, the detection of radio transient sources becomes more efficient, imaging more accurate, and more reliable, significantly improving the calibration insufficiency problem caused by insufficient data. High-precision calibration through calibration mapping solves the common positioning offset problem in transient imaging, ensuring that the imaging results maintain a calibration standard consistent with the long-term image domain data. Furthermore, it achieves synchronous triggering of time-domain incoherent detection and image-domain detection, improving the capture rate of sudden events; automatically selects transient imaging or coherent beam imaging based on event characteristics, improving imaging efficiency; applies the robustly obtained calibration demapping from the long-term image domain data to transient imaging, improving positioning offset and photometric errors; and is applicable to different array sizes and can be extended to higher-speed transient search environments.

[0055] Corresponding to the above method, embodiments of this application also provide a synchronous positioning device for transient sources, such as... Figure 4 As shown, the device includes: Module 41 is used to acquire raw voltage data in the time domain and long-term data in the image domain under the same astronomical observation scenario; Monitoring module 42 is used to perform parallel monitoring of the raw voltage data in the time domain and the long-term data in the image domain; The interception module 43 is used to generate a trigger signal if a transient source signal is detected in any data, and determine the imaging mode based on the trigger signal; and perform data interception according to the imaging mode to obtain short-term data. The calibration module 44 is used to extract calibration information from the long-term data of the image domain, calibrate the short-term data according to the calibration information, generate a calibrated transient source image, and output the localization result of the transient source in the transient source image.

[0056] The functions of each functional unit of the synchronous positioning device for transient sources provided in the above embodiments of this application can be implemented through the above method steps. Therefore, the specific working process and beneficial effects of each unit in the synchronous positioning device for transient sources provided in the embodiments of this application will not be repeated here.

[0057] This application also provides an electronic device, such as... Figure 5 As shown, it includes a processor 510, a communication interface 520, a memory 530, and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540.

[0058] Memory 530 is used to store computer programs; The processor 510 performs the above steps when executing the program stored in the memory 530.

[0059] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0060] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0061] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0062] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0063] The implementation methods and beneficial effects of the various components of the electronic device in the above embodiments for solving the problem can be found in [reference needed]. Figure 1 The steps in the illustrated embodiments are used to implement the electronic device. Therefore, the specific working process and beneficial effects of the electronic device provided in this application will not be repeated here.

[0064] In another embodiment provided in this application, a computer-readable storage medium is also provided, which stores instructions that, when executed on a computer, cause the computer to perform the synchronization and positioning method of any of the transient sources described in the above embodiments.

[0065] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute the synchronization and positioning method of any of the transient sources described in the above embodiments.

[0066] Those skilled in the art will understand that the embodiments in this application can be provided as methods, systems, or computer program products. Therefore, the embodiments in this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments in this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0067] This application describes embodiments of methods, apparatus (systems), and computer program products according to embodiments of this application with reference to flowchart illustrations and / or block diagrams. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0068] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0069] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0070] Although preferred embodiments have been described in this application, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of this application.

[0071] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims in this application and their equivalents, then this application also intends to include these modifications and variations.

Claims

1. A method for synchronously locating transient sources, characterized in that, The method includes: Acquire raw time-domain voltage data and long-term image-domain data under the same astronomical observation scenario; The raw voltage data in the time domain and the long-term data in the image domain are monitored in parallel. If a transient source signal is detected in any data, a trigger signal is generated, and an imaging mode is determined based on the trigger signal; data interception is performed according to the imaging mode to obtain short-term data; The calibration information is extracted from the long-term data in the image domain, and the short-term data is calibrated according to the calibration information to generate a calibrated transient source image. The localization result of the transient source in the transient source image is then output.

2. The method as described in claim 1, characterized in that, If a transient source signal is detected in any data, a trigger signal is generated, and based on the trigger signal, an imaging mode is determined, including: If a transient source signal is detected in any data, a trigger signal is generated, and event information of the transient source signal is obtained based on the data of the detected transient source signal; based on the trigger signal, an imaging mode is determined; wherein, the event information includes time information or spatial location information.

3. The method as described in claim 2, characterized in that, If a transient source signal is detected in any data, a trigger signal is generated, and the event information of the transient source signal is obtained based on the data of the detected transient source signal. Based on the trigger signal, the imaging mode is determined, including: If a transient source signal is detected in the raw time-domain voltage data, a trigger signal is generated, and the event information of the transient source signal is obtained based on the raw time-domain voltage data; based on the trigger signal, the imaging mode is determined to be transient imaging mode. Alternatively, if a transient source signal is detected in the long-term data of the image domain, a trigger signal is generated, and the event information of the transient source signal is obtained based on the long-term data of the image domain; based on the trigger signal, the imaging mode is determined to be coherent beam imaging mode.

4. The method as described in claim 1, characterized in that, Event information includes time information or spatial location information, which is obtained by monitoring based on data from the detected transient source signals; Data interception is performed according to the imaging mode to obtain short-term data, including: If the imaging mode is a transient imaging mode, then a short period of data corresponding to the time information is extracted from the original time-domain voltage data.

5. The method as described in claim 1, characterized in that, Event information includes time information or spatial location information, which is obtained based on data from the detected transient source signals; Data interception is performed according to the imaging mode to obtain short-term data, including: If the imaging mode is a coherent beam imaging mode, then based on the event information, a coherent beam pointing to the spatial location information is constructed in the long-term data of the image domain, wherein the coherent beam is short-term data.

6. The method as described in claim 1, characterized in that, The calibration information is extracted from the long-term data in the image domain. Based on the calibration information, the short-term data is calibrated to generate a calibrated transient source image. The localization result of the transient source in the transient source image is then output, including: Extract calibration information from the long-term data in the image domain; The calibration information is mapped to the imaging processing of short-term data using a directional difference method or an interpolation method to obtain calibrated short-term data. Imaging reconstruction is performed based on calibrated short-term data to generate calibrated transient source images; the transient source images are then analyzed and processed to output the localization results of the transient sources in the transient source images.

7. The method according to any one of claims 1-6, characterized in that, Parallel monitoring of the raw time-domain voltage data and the long-term image-domain data includes: For the raw time-domain voltage data, incoherent processing is performed on the raw time-domain voltage data to obtain time-series power change data; based on a preset threshold monitoring or time-frequency analysis algorithm, transient source signals in the power change data are identified; For the long-term data in the image domain, image difference processing or image overlay processing is performed on the long-term data in the image domain to monitor and obtain transient source signals.

8. A synchronous positioning device for a transient source, characterized in that, The device includes: The acquisition module is used to acquire raw time-domain voltage data and long-term image-domain data under the same astronomical observation scenario; The monitoring module is used to perform parallel monitoring of the raw voltage data in the time domain and the long-term data in the image domain; The interception module is used to generate a trigger signal if a transient source signal is detected in any data, and determine the imaging mode based on the trigger signal; and perform data interception according to the imaging mode to obtain short-term data. The calibration module is used to extract calibration information from the long-term data of the image domain, calibrate the short-term data according to the calibration information, generate a calibrated transient source image, and output the localization result of the transient source in the transient source image.

9. An electronic device, characterized in that, The electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method described in any one of claims 1-7.