Checking space target detection method and device, electronic equipment and medium

Abstract

The invention provides a transaction space target detection method and device, electronic equipment and a medium, and the method comprises the steps: determining the position and speed of a space target in a specified observation time period through the cataloguing data of the space target; simulating detection data of the sensor according to the parameter configuration, the position and the speed of the sensor to obtain simulation detection data; and comparing actual measurement data detected by the simulation sensor with simulation detection data, and determining the transaction space target.

Description

Technical Field

[0001] The present disclosure relates to the field of spatial information processing application technology, and in particular to a method, device, electronic equipment and medium for detecting abnormal space targets. Background Art

[0002] The main reasons for the abnormal movement of space targets are: natural factors, such as the earth's gravitational perturbation, solar radiation pressure perturbation, atmospheric drag perturbation; human factors, such as orbit adjustment, attitude control, fault handling, etc.; other factors, such as space debris impact, solar storms, electromagnetic interference, etc. The detection of abnormal behavior of space targets is of vital importance to ensure the safety of space property, maintain security interests, and identify potential threats.

[0003] In the existing detection of abnormal behavior of space targets, post-processing is performed based on sensor measurement data collected multiple times over multiple days to screen out abnormal space targets, which has low timeliness. Summary of the invention

[0004] In view of this, the present disclosure provides a method, device, electronic device and medium for detecting abnormal space targets, which are used to at least partially solve the above technical problems.

[0005] The first aspect of the present disclosure provides a method for detecting abnormal space targets, including: determining the position and speed of the space target in a specified observation period through the cataloging data of the space target; simulating the detection data of the sensor according to the parameter configuration, position and speed of the sensor to obtain simulated detection data; comparing the measured data detected by the simulated sensor with the simulated detection data to determine the abnormal space target.

[0006] According to an embodiment of the present disclosure, the sensor includes a radar sensor and an optical sensor; the simulated detection data corresponding to the radar sensor includes a first distance, a first azimuth, a first pitch angle, a speed, and a radar scattering cross-sectional area; the simulated detection data corresponding to the optical sensor includes a second distance, a second azimuth, a second pitch angle, longitude, latitude, right ascension, and declination.

[0007] According to the embodiments of the present disclosure, the measured data detected by the simulation sensor is compared with the simulated detection data to determine the abnormal space target, including: setting the abnormality judgment threshold; determining the abnormality alarm range based on the simulated detection data and the abnormality judgment threshold; the lower limit of the abnormality alarm range is the difference between the simulated detection data and the abnormality judgment threshold, and the upper limit of the abnormality alarm range is the sum of the simulated detection data and the abnormality judgment threshold; when the measured data is not within the abnormality alarm range, the space target is determined to be an abnormal space target.

[0008] According to an embodiment of the present disclosure, the detection data of the sensor is simulated according to the parameter configuration, position and speed of the sensor to obtain the simulated detection data, including:

[0009] according to

[0010]

[0011] Calculate the first distance ;

[0012] according to

[0013]

[0014] Calculate the first azimuth ;

[0015] according to

[0016]

[0017] Calculate the first pitch angle ;

[0018] according to

[0019]

[0020] Calculation speed ;

[0021] according to

[0022]

[0023] Calculating radar cross section ;

[0024] in, is the coordinate corresponding to the radar sensor position in the Earth-centered Earth-fixed coordinate system at a specified time, is the coordinate corresponding to the position of the space target in the Earth-centered Earth-fixed coordinate system at a specified time, Indicates the remainder. represents the four-quadrant inverse tangent, represents the inverse tangent, Indicates the wavelength of the electromagnetic wave emitted by the radar sensor at a specified time. represents the Doppler shift at a specified time, It represents the angle between the line between the space target and the radar sensor at a specified time and the direction of motion of the space target. represents the atmospheric attenuation coefficient, Indicates the transmit power at a specified time. Indicates the received power at a specified time. represents the transmit antenna gain, Indicates the receive antenna gain.

[0025] According to an embodiment of the present disclosure, simulating the detection data of the sensor according to the parameter configuration, position and speed of the sensor to obtain the simulated detection data also includes:

[0026] according to

[0027]

[0028] Calculate the second distance ;

[0029] according to

[0030]

[0031] Calculate the second azimuth ;

[0032] according to

[0033]

[0034] Calculate the second pitch angle ;

[0035] in, is the coordinate corresponding to the position of the optical sensor in the geocentric inertial coordinate system at a specified time, is the coordinate corresponding to the position of the space target in the geocentric inertial coordinate system at a specified time, Indicates the remainder. represents the four-quadrant inverse tangent, Represents inverse tangent.

[0036] According to an embodiment of the present disclosure, it also includes: recording the attribute information of the abnormal space target and issuing an alarm prompt information.

[0037] According to an embodiment of the present disclosure, the position and velocity of the space target in a specified observation period are simulated through the cataloging data of the space target, including: extrapolating the position and velocity of the space target in a geocentric inertial coordinate system or a geocentric earth-fixed coordinate system through two lines of orbital data of the space target, and converting the orbital elements of the space target at a first moment into the position and velocity at multiple second moments in the specified observation period.

[0038] The second aspect of the present disclosure provides an abnormal space target detection device, including: a determination module, used to determine the position and speed of the space target in a specified observation period through the cataloging data of the space target; a simulation module, used to simulate the detection data of the sensor according to the parameter configuration, position and speed of the sensor to obtain simulated detection data; a comparison module, used to compare the measured data detected by the simulated sensor with the simulated detection data to determine the abnormal space target.

[0039] A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the above method.

[0040] A fourth aspect of the present disclosure provides a computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, enables the processor to implement the above method.

[0041] The method, device, and medium for detecting abnormal space targets provided by the embodiments of the present disclosure can achieve the following technical effects:

[0042] By simulating the sensor detection data of catalogued space targets and comparing the simulated data with the sensor detection data in real time, it is possible to quickly and accurately identify the abnormal behavior of space targets that are suspected to be moving beyond the simulation target threshold range, thereby improving the timeliness of abnormal space target detection.

[0043] Since abnormal space targets are detected based on simulation data, compared with post-processing, the abnormal space targets can be screened out, and alarm prompt information can be given in real time and the attribute information of the abnormal space targets can be recorded to identify potential threats, so that countermeasures can be taken in time, improving safety.

[0044] The method and the device have good real-time performance, good compatibility, low computational complexity, fast running speed, simple algorithm, and are easy to implement in engineering. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The above and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0046] Figure 1 The flowchart of the method for detecting abnormal space objects according to an embodiment of the present disclosure is schematically shown.

[0047] Figure 2 The schematic diagram of the theoretical value, measured value and threshold value of distance measurement data according to the embodiment of the present disclosure is schematically shown.

[0048] Figure 3 A block diagram of a moving space target detection device according to an embodiment of the present disclosure is schematically shown.

[0049] Figure 4 A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0050] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0051] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0052] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0053] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0054] Figure 1 The flowchart of the method for detecting abnormal space objects according to an embodiment of the present disclosure is schematically shown.

[0055] like Figure 1 As shown, the abnormal space target detection method may include, for example, operations S101 to S103.

[0056] In operation S101 , the position and speed of the space target in a specified observation period are determined through catalog data of the space target.

[0057] In operation S102 , detection data of the sensor is simulated according to parameter configuration, position and speed of the sensor to obtain simulated detection data.

[0058] In operation S103, the actual measured data detected by the simulation sensor is compared with the simulation detection data to determine the abnormal spatial target.

[0059] In a possible implementation of the embodiment of the present disclosure, in operation S101, simulating the position and speed of the space target in the specified observation period by using the catalog data of the space target may include:

[0060] Through the two lines of orbital data of the space target, the position and velocity of the space target in the geocentric inertial coordinate system or the geocentric earth-fixed coordinate system are extrapolated, and the orbital elements of the space target at the first moment are converted into the position and velocity at multiple second moments within the specified observation period.

[0061] The cataloged data of cataloged space targets can be two-line orbital element (TLE) data, which extrapolates the position and velocity of the space target in the Earth Centered Inertial (ECI) or Earth-centered Earth-fixed (ECEF) coordinate system, and converts the orbital elements of the space target at the first moment into the orbital elements at the preset second moment. The orbital elements of the space target at the first moment are converted into the position and velocity at the second moment. For example, the first moment is 0 o'clock, and the position and velocity of the space target at 0 o'clock are extrapolated to obtain the positions and velocities at multiple second moments such as 3 o'clock, 6 o'clock, 9 o'clock, and 12 o'clock. Runge-Kutta, SGP4, SDP4, GP4, SGP8, PPT2, PPT3, HANDE, SALT, SP, SST models or software can be used to convert orbital elements at different moments.

[0062] In a possible implementation of the embodiment of the present disclosure, the sensor may include a radar sensor and an optical sensor. The simulated detection data corresponding to the radar sensor may include a first distance, a first azimuth, a first pitch angle, a speed, and a radar cross-sectional area. The simulated detection data corresponding to the optical sensor may include a second distance, a second azimuth, a second pitch angle, longitude, latitude, right ascension, and declination.

[0063] In a possible implementation of the embodiment of the present disclosure, in operation S102, simulating the detection data of the sensor according to the parameter configuration, position and speed of the sensor to obtain the simulated detection data may include:

[0064] according to

[0065]

[0066] Calculate the first distance .

[0067] according to

[0068]

[0069] Calculate the first azimuth .

[0070] according to

[0071]

[0072] Calculate the first pitch angle .

[0073] according to

[0074]

[0075] Calculation speed .

[0076] according to

[0077]

[0078] Calculating radar cross section .

[0079] in, is the coordinate corresponding to the radar sensor position in the Earth-centered Earth-fixed coordinate system at a specified time, is the coordinate corresponding to the position of the space target in the Earth-centered Earth-fixed coordinate system at a specified time, Indicates the remainder. represents the four-quadrant inverse tangent, represents the inverse tangent, Indicates the wavelength of the electromagnetic wave emitted by the radar sensor at a specified time. represents the Doppler shift at a specified time, It represents the angle between the line between the space target and the radar sensor at a specified time and the direction of motion of the space target. represents the atmospheric attenuation coefficient, Indicates the transmit power at a specified time. Indicates the received power at a specified time. represents the transmit antenna gain, Indicates the receive antenna gain.

[0080] In another possible implementation of the embodiment of the present disclosure, in operation S102, simulating the detection data of the sensor according to the parameter configuration, position and speed of the sensor to obtain the simulated detection data further includes:

[0081] according to

[0082]

[0083] Calculate the second distance .

[0084] according to

[0085]

[0086] Calculate the second azimuth .

[0087] according to

[0088]

[0089] Calculate the second pitch angle .

[0090] in, is the coordinate corresponding to the position of the optical sensor in the geocentric inertial coordinate system at a specified time, is the coordinate corresponding to the position of the space target in the geocentric inertial coordinate system at a specified time, Indicates the remainder. represents the four-quadrant inverse tangent, Represents inverse tangent.

[0091] In a possible implementation of the embodiment of the present disclosure, in operation S103, comparing the measured data detected by the simulation sensor with the simulation detection data to determine the abnormal spatial target may include:

[0092] Set the change determination threshold.

[0093] The abnormal alarm range is determined based on the simulation detection data and the abnormal judgment threshold. The lower limit of the abnormal alarm range is the difference between the simulation detection data and the abnormal judgment threshold, and the upper limit of the abnormal alarm range is the sum of the simulation detection data and the abnormal judgment threshold;

[0094] When the measured data is not within the abnormal movement alarm range, the space target is determined to be an abnormal movement space target.

[0095] After determining the abnormal space target, the attribute information of the abnormal space target can also be recorded and an alarm prompt information can be issued.

[0096] Figure 2 The schematic diagram of the theoretical value, measured value and threshold value of distance measurement data according to the embodiment of the present disclosure is schematically shown.

[0097] like Figure 2 As shown, for the radar sensor distance measurement data, when:

[0098] ,

[0099] If it is determined to be a suspected abnormal space target, a warning message will be given in real time. Indicates that the radar sensor is The distance measurement data at the time (specified time), Indicates the radar sensor distance measurement data change alarm threshold.

[0100] For the azimuth angle measurement data between the target and the radar sensor, when:

[0101] ,

[0102] If it is determined to be a suspected abnormal space target, a warning message will be given in real time. Indicates that the target and the radar sensor are The azimuth measurement data at the time, Indicates the alarm threshold for abnormal changes in the azimuth angle measurement data between the target and the radar sensor.

[0103] For the pitch angle measurement data between the target and the radar sensor, when the following conditions are met:

[0104] ,

[0105] If it is determined to be a suspected abnormal space target, a warning message will be given in real time. Indicates that the target and the radar sensor are The pitch angle measurement data at the moment, Indicates the alarm threshold for abnormal changes in the elevation angle measurement data between the target and the radar sensor.

[0106] For the speed measurement data of the target by the radar sensor, when:

[0107] ,

[0108] If it is determined to be a suspected abnormal space target, a warning message will be given in real time. Indicates that the radar sensor detects the target Speed ​​measurement data at the moment, Indicates the alarm threshold for changes in the speed measurement data of the target by the radar sensor.

[0109] For the radar cross-sectional area measurement data of the radar sensor to the target, when it meets the following conditions:

[0110] ,

[0111] If it is determined to be a suspected abnormal space target, a warning message will be given in real time. Indicates that the radar sensor detects the target The radar cross-sectional area measurement data at the time, Indicates the abnormal alarm threshold of the radar cross-sectional area measurement data of the radar sensor for the target.

[0112] For the azimuth angle measurement data between the target and the optical sensor, when:

[0113] ,

[0114] If it is determined to be a suspected abnormal space target, a warning message will be given in real time. Indicates that the target and the optical sensor are The azimuth measurement data at the time, Indicates the alarm threshold for abnormal changes in the azimuth angle measurement data between the target and the optical sensor.

[0115] For the pitch angle measurement data between the target and the optical sensor, when:

[0116] ,

[0117] If it is determined to be a suspected abnormal movement target, an alarm prompt information will be given in real time. Indicates that the target and the optical sensor are The pitch angle measurement data at the moment, Indicates the alarm threshold for abnormal changes in the pitch angle measurement data between the target and the optical sensor.

[0118] For the target right ascension measurement data, when:

[0119] ,

[0120] If it is determined to be a suspected abnormal movement target, an alarm prompt information will be given in real time. Represents the target right ascension measurement data, Indicates the target right ascension measurement data change alarm threshold.

[0121] For the target declination measurement data, when:

[0122] ,

[0123] If it is determined to be a suspected abnormal movement target, an alarm prompt information will be given in real time. Indicates the target declination measurement data, Indicates the target declination measurement data change alarm threshold.

[0124] For the target longitude measurement data, when:

[0125] ,

[0126] If it is determined to be a suspected abnormal movement target, an alarm prompt information will be given in real time. Represents the target longitude measurement data, Indicates the target longitude measurement data change alarm threshold.

[0127] For the target latitude measurement data, when:

[0128] ,

[0129] If it is determined to be a suspected abnormal movement target, an alarm prompt information will be given in real time. Represents the target latitude measurement data, Indicates the target latitude measurement data change alarm threshold.

[0130] Based on the above abnormal space target detection method, the present disclosure also provides an abnormal space target detection device. Figure 3 The device is described in detail.

[0131] Figure 3 The structural block diagram of the abnormal space target detection device according to an embodiment of the present disclosure is schematically shown.

[0132] like Figure 3 As shown, the abnormal space target detection device 300 of this embodiment includes a determination module 310, a simulation module 320 and a comparison module 330.

[0133] The determination module 310 is used to determine the position and speed of the space target in a specified observation period through the catalog data of the space target.

[0134] The simulation module 320 is used to simulate the detection data of the sensor according to the parameter configuration, position and speed of the sensor to obtain simulated detection data.

[0135] The comparison module 330 is used to compare the measured data detected by the simulation sensor with the simulation detection data to determine the abnormal space target.

[0136] According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits, or at least part of the functions of any one of them can be implemented in one module. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be split into multiple modules for implementation. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be at least partially implemented as hardware circuits, such as field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), systems on chips, systems on substrates, systems on packages, application specific integrated circuits (ASICs), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging circuits, or can be implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any of them. Alternatively, according to the embodiments of the present invention, one or more of the modules, submodules, units, and subunits can be at least partially implemented as computer program modules, and when the computer program modules are run, the corresponding functions can be performed.

[0137] For example, any multiple of the determination module 310, the simulation module 320, and the comparison module 330 can be combined in one module / unit / sub-unit for implementation, or any one of the modules / units / sub-units can be split into multiple modules / units / sub-units. Alternatively, at least part of the functions of one or more of these modules / units / sub-units can be combined with at least part of the functions of other modules / units / sub-units and implemented in one module / unit / sub-unit. According to an embodiment of the present disclosure, at least one of the determination module 310, the simulation module 320, and the comparison module 330 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware, and firmware or in a suitable combination of any of them. Alternatively, at least one of the determination module 310 , the simulation module 320 , and the comparison module 330 may be at least partially implemented as a computer program module, and when the computer program module is executed, a corresponding function may be performed.

[0138] It should be noted that the abnormal spatial target detection device part in the embodiment of the present disclosure corresponds to the abnormal spatial target detection method part in the embodiment of the present disclosure, and their specific implementation details are also the same, which will not be repeated here.

[0139] Figure 4 A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present disclosure is schematically shown. Figure 4 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0140] like Figure 4 As shown, the electronic device 400 according to an embodiment of the present disclosure includes a processor 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage part 408 to a random access memory (RAM) 403. The processor 401 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a dedicated microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 401 may also include an onboard memory configured for cache purposes. The processor 401 may include a single processing unit or multiple processing units configured to perform different actions of the method flow according to an embodiment of the present disclosure.

[0141] In RAM 403, various programs and data required for the operation of electronic device 400 are stored. Processor 401, ROM 402 and RAM 403 are connected to each other via bus 404. Processor 401 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 402 and / or RAM 403. It should be noted that the program can also be stored in one or more memories other than ROM 402 and RAM 403. Processor 401 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0142] According to an embodiment of the present disclosure, the electronic device 400 may further include an input / output (I / O) interface 405, which is also connected to the bus 404. The electronic device 400 may further include one or more of the following components connected to the input / output (I / O) interface 405: an input portion 406 including a keyboard, a mouse, etc.; an output portion 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 408 including a hard disk, etc.; and a communication portion 409 including a network interface card such as a LAN card, a modem, etc. The communication portion 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the input / output (I / O) interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage portion 408 as needed.

[0143] According to an embodiment of the present disclosure, the method flow according to an embodiment of the present disclosure can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program contains a program code configured to execute the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 409, and / or installed from the removable medium 411. When the computer program is executed by the processor 401, the above-mentioned functions defined in the system of the embodiment of the present disclosure are executed. According to an embodiment of the present disclosure, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0144] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0145] According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. For example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0146] For example, according to an embodiment of the present disclosure, the computer-readable storage medium may include the ROM 402 and / or the RAM 403 described above and / or one or more memories other than the ROM 402 and the RAM 403 .

[0147] An embodiment of the present disclosure also includes a computer program product, which includes a computer program, which contains program code configured to execute the method provided by the embodiment of the present disclosure. When the computer program product runs on an electronic device, the program code is configured to enable the electronic device to implement the processing method for high-orbit satellite orbit determination provided by the embodiment of the present disclosure.

[0148] When the computer program is executed by the processor 401, the above functions defined in the system / device of the embodiment of the present disclosure are executed. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0149] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 409, and / or installed from the removable medium 411. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0150] According to an embodiment of the present disclosure, the program code configured to execute the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0151] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions configured to implement the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions. It can be understood by those skilled in the art that the features recorded in the various embodiments of the present disclosure can be combined and / or combined in a variety of ways, even if such a combination or combination is not clearly recorded in the present disclosure. In particular, without departing from the spirit and teaching of the present disclosure, the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0152] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A method for detecting moving space objects, characterized in that: include: Determining the position and velocity of the space target during a specified observation period using the cataloged data of the space target; According to the parameter configuration of the sensor, the detection data of the position and speed simulation sensor, the simulation detection data is obtained; The actual measured data detected by the simulation sensor is compared with the simulation detection data to determine the abnormal space target.

2. The method for detecting moving space objects according to claim 1, characterized in that: The sensors include radar sensors and optical sensors; The simulated detection data corresponding to the radar sensor includes a first distance, a first azimuth, a first pitch angle, a speed, and a radar cross-sectional area; The simulated detection data corresponding to the optical sensor includes a second distance, a second azimuth, a second pitch angle, longitude, latitude, right ascension, and declination.

3. The method for detecting moving space targets according to claim 1 or 2, characterized in that: The step of comparing the measured data detected by the simulation sensor with the simulation detection data to determine the abnormal space target includes: Set the abnormality determination threshold; Determine an abnormality alarm range based on the simulation detection data and the abnormality determination threshold; the lower limit of the abnormality alarm range is the difference between the simulation detection data and the abnormality determination threshold, and the upper limit of the abnormality alarm range is the sum of the simulation detection data and the abnormality determination threshold; When the measured data is not within the abnormal movement alarm range, the space target is determined to be an abnormal movement space target.

4. The method for detecting moving space targets according to claim 2, characterized in that: The step of obtaining simulated detection data according to the parameter configuration of the sensor and the detection data of the position and speed simulation sensor comprises: According to the Calculate the first distance ; according to Calculate the first azimuth ; according to Calculate the first pitch angle ; according to Calculate the speed ; according to Calculate the radar cross section ; in, is the coordinate corresponding to the position of the radar sensor in the Earth-centered Earth-fixed coordinate system at a specified time, is the coordinate corresponding to the position of the space target in the Earth-centered Earth-fixed coordinate system at a specified time, Indicates the remainder. represents the four-quadrant inverse tangent, represents the inverse tangent, Indicates the wavelength of the electromagnetic wave emitted by the radar sensor at a specified time. represents the Doppler shift at a specified time, It represents the angle between the line between the space target and the radar sensor at a specified time and the direction of motion of the space target. represents the atmospheric attenuation coefficient, Indicates the transmit power at a specified time. Indicates the received power at a specified time. represents the transmit antenna gain, Indicates the receiving antenna gain.

5. The method for detecting abnormal space targets according to claim 2, characterized in that: The step of obtaining simulated detection data according to the parameter configuration of the sensor and the detection data of the position and speed simulation sensor further includes: According to the Calculate the second distance ; according to Calculate the second azimuth ; according to Calculate the second pitch angle ; in, is the coordinate corresponding to the position of the optical sensor in the geocentric inertial coordinate system at a specified time, is the coordinate corresponding to the position of the space target in the geocentric inertial coordinate system at a specified time, Indicates the remainder. represents the four-quadrant inverse tangent, Represents inverse tangent.

6. The method for detecting abnormal space targets according to claim 1, characterized in that: Also includes: Record the attribute information of the abnormal space target and issue an alarm prompt information.

7. The method for detecting abnormal space targets according to claim 1, characterized in that: The step of simulating the position and speed of the space target during a specified observation period using the cataloged data of the space target includes: The position and velocity of the space target in the geocentric inertial coordinate system or the geocentric earth-fixed coordinate system are extrapolated through the two lines of orbital data of the space target, and the orbital elements of the space target at the first moment are converted into the position and velocity at multiple second moments in a specified observation period.

8. A device for detecting abnormal space targets, characterized in that: include: A determination module, configured to determine the position and speed of the space target in a specified observation period through the catalog data of the space target; A simulation module, used to simulate the detection data of the sensor according to the parameter configuration of the sensor, the position and the speed, to obtain simulated detection data; The comparison module is used to compare the measured data detected by the simulation sensor with the simulation detection data to determine the abnormal space target.

9. An electronic device, characterized in that: include: one or more processors; a memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Executable instructions are stored thereon, and when the instructions are executed by a processor, the processor implements the method according to any one of claims 1 to 7.

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