Deep space exploration microwave load interference source determination method, device, equipment and medium

Abstract

The present disclosure provides a deep space exploration microwave load interference source determination method, device, equipment and medium, the method comprising: calculating the time domain correlation coefficient between the microwave signals received by different polarization antennas at the same time; calculating the frequency domain correlation coefficient between the microwave signals received by different polarization antennas at the same frequency point; calculating the cross-correlation coefficient between the microwave signals received by the same polarization antenna at different times; determining the source and frequency of the interference signal according to the time domain correlation coefficient and / or the frequency domain correlation coefficient and / or the cross-correlation coefficient. This method can realize intuitive and reliable analysis of microwave interference sources, solving the technical problem of determining the interference source due to complex interference conditions.

Description

Technical Field

[0001] This disclosure relates to the field of microwave signal processing technology, and in particular to a method, apparatus, device and medium for determining interference sources of deep space exploration microwave payloads. Background Technology

[0002] To probe the surface and subsurface characteristics of target celestial bodies and the space electromagnetic environment, deep space probes typically carry instruments capable of microwave detection, such as radar and low-frequency radio spectrometers. These instruments are widely used in lunar and Martian exploration. However, practical experience shows that these instruments are extremely sensitive to microwaves and are easily affected by electromagnetic interference, which can degrade the quality of the probe data. Furthermore, the electromagnetic interference situation on spacecraft is extremely complex due to the probe itself and other payloads, making it difficult to pinpoint the source of electromagnetic interference and posing challenges to the location and elimination of interference in microwave payload data. Summary of the Invention

[0003] In view of the above-mentioned technical problems, the first aspect of this disclosure provides a method for determining the interference source of a deep space exploration microwave payload, comprising: calculating the time-domain correlation coefficient between microwave signals received by different polarized antennas at the same time; calculating the frequency-domain correlation coefficient between microwave signals received by different polarized antennas at the same frequency; calculating the cross-correlation coefficient between microwave signals received by the same polarized antenna at different times; and determining the source and frequency of the interference signal based on the time-domain correlation coefficient and / or the frequency-domain correlation coefficient and / or the cross-correlation coefficient.

[0004] According to embodiments of this disclosure, calculating the time-domain correlation coefficient between microwave signals received by antennas with different polarizations at the same time specifically includes: based on...

[0005]

[0006] Calculate the time-domain correlation coefficient r(X, Y), where X and Y represent the microwave signals received by different polarized antennas at the same time, Cov(X, Y) is the covariance between X and Y, Var[X] is the variance of X, and Var[Y] is the variance of Y.

[0007] According to embodiments of this disclosure, calculating the frequency domain correlation coefficient between microwave signals at the same frequency point received by different polarized antennas specifically includes: calculating the spectrum of each microwave data; sorting the spectrum of microwave data received by the same polarized antenna according to time to obtain the spectrum data corresponding to each frequency point; and performing correlation calculation on the spectrum data or complex spectrum data of the same frequency point from different polarized antennas to obtain the frequency domain correlation coefficient.

[0008] According to embodiments of this disclosure, calculating the cross-correlation coefficient between microwave signals received by the same polarized antenna at different times specifically includes: determining a representative set of microwave signals from the microwave signals; performing a cyclic circular movement on the representative microwave signals, generating a microwave signal sequence for each time sampling point moved; and calculating the correlation coefficient between each microwave signal sequence and the microwave signals received by the same polarized antenna to obtain the cross-correlation coefficient.

[0009] According to embodiments of this disclosure, determining the source and frequency of an interference signal based on a time-domain correlation coefficient and / or a frequency-domain correlation coefficient and / or a cross-correlation coefficient specifically includes: determining that the interference signal originates from inside the antenna in response to a time-domain correlation coefficient being less than a first threshold; determining that the interference signal originates from both inside and outside the antenna in response to a time-domain correlation coefficient being greater than the first threshold and less than a second threshold; and determining that the interference signal originates from outside the antenna in response to a time-domain correlation coefficient being greater than the second threshold.

[0010] According to embodiments of this disclosure, determining the source and frequency of an interference signal based on a time-domain correlation coefficient and / or a frequency-domain correlation coefficient and / or a cross-correlation coefficient specifically includes: determining the frequency of the interference signal based on a frequency-domain correlation coefficient; or estimating the repetition period of a microwave signal based on a cross-correlation coefficient, and estimating the frequency of the interference signal based on the repetition period.

[0011] According to embodiments of this disclosure, calculating the spectrum of each microwave data specifically includes: performing a Fourier transform on the microwave data, then calculating the amplitude of the Fourier transform result to obtain the spectrum of the microwave data; or directly using the complex result of the Fourier transform as the spectrum of the microwave data.

[0012] A second aspect of this disclosure provides an interference source determination device for deep space exploration microwave payloads, comprising: a first calculation module for calculating the time-domain correlation coefficient between microwave signals received by different polarized antennas at the same time; a second calculation module for calculating the frequency-domain correlation coefficient between microwave signals received by different polarized antennas at the same frequency; a third calculation module for calculating the cross-correlation coefficient between microwave signals received by the same polarized antenna at different times; and a determination module for determining the source and frequency of the interference signal based on the time-domain correlation coefficient and / or the frequency-domain correlation coefficient and / or the cross-correlation coefficient.

[0013] A third aspect of this disclosure also 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 cause the one or more processors to perform the method described above.

[0014] The fourth aspect of this disclosure also provides a computer-readable storage medium, characterized in that it stores executable instructions thereon, which, when executed by a processor, cause the processor to perform the method described above.

[0015] The method, apparatus, equipment, and medium for determining interference sources of deep space exploration microwave payloads provided in the embodiments of this disclosure can achieve at least the following technical effects:

[0016] By performing time-domain and frequency-domain correlation analysis on microwave data, the source and frequency of interference signals can be determined. Compared with directly comparing time-domain data and spectra of microwave loads with different polarizations to assess interference, using correlation methods for interference assessment is more intuitive and reliable, and solves the problem that the waveforms of high-frequency electromagnetic waves are complex and difficult to compare.

[0017] Furthermore, frequency domain correlation analysis can be used to determine which frequencies show a strong correlation in their spectral amplitude changes over time. This not only helps in analyzing interference sources but may also provide a more reliable reference for determining the frequency location of noise.

[0018] Furthermore, the calculation and application of cross-correlation coefficients can determine whether certain components in a signal recur or have strong correlations, which helps to locate noise waveforms and repetition periods, and assists in identifying noise sources and suppressing noise. Attached Figure Description

[0019] The above and other objects, features and advantages of this disclosure will become clearer from the following description of embodiments with reference to the accompanying drawings, in which:

[0020] Figure 1 The diagram illustrates a processing method for determining interference sources of a deep space exploration microwave payload according to an embodiment of the present disclosure.

[0021] Figure 2 A flowchart illustrating a method for calculating frequency domain correlation coefficients according to an embodiment of the present disclosure is shown.

[0022] Figure 3 A flowchart illustrating a method for calculating cross-correlation coefficients according to an embodiment of the present disclosure is shown.

[0023] Figure 4 A flowchart illustrating a method for determining the source of an interference signal according to an embodiment of the present disclosure is shown.

[0024] Figure 5 A block diagram of a low-frequency radio spectrometer interference signal processing apparatus according to an embodiment of the present disclosure is shown schematically.

[0025] Figure 6A block diagram of an electronic device suitable for implementing the methods described above, according to an embodiment of the present invention, is shown schematically. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of this disclosure clearer, the following detailed description is provided in conjunction with specific embodiments and accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of protection of this disclosure.

[0027] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this disclosure. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0028] In this disclosure, unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection, an electrical connection, or a connection that allows communication between them; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this disclosure according to the specific circumstances.

[0029] In the description of this disclosure, it should be understood that the terms "longitudinal", "length", "circumferential", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this disclosure and simplifying the description, and do not indicate or imply that the subsystem or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this disclosure.

[0030] Throughout the accompanying drawings, identical elements are represented by the same or similar reference numerals. Conventional structures or configurations have been omitted where they may cause confusion in understanding this disclosure. Furthermore, the shapes, dimensions, and positional relationships of the components in the drawings do not reflect their actual size, scale, or actual positional relationships. Additionally, any reference symbols enclosed in parentheses should not be construed as limiting this disclosure.

[0031] Similarly, to simplify this disclosure and aid in understanding one or more of the various aspects of the disclosure, in the above description of exemplary embodiments of the present disclosure, various features of the present disclosure are sometimes grouped together in a single embodiment, figure, or description thereof. The use of terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refers to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present disclosure. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0032] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this disclosure, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0033] To address the shortcomings of existing technologies, this disclosure provides a method for determining interference sources in deep space exploration microwave payloads. By utilizing signals received simultaneously by antennas with different polarizations and orientations on the microwave payload, signals at the same frequency received by antennas with different polarizations, and signals received at different times by antennas with the same polarization, a direct and reliable analysis of microwave interference sources is achieved based on relevant methods. Specific embodiments are described in detail below.

[0034] Figure 1 The diagram illustrates a processing method for determining interference sources of a deep space exploration microwave payload according to an embodiment of the present disclosure.

[0035] like Figure 1 As shown, the method for determining the interference source of the deep space exploration microwave payload may include, for example, operations S101 to S104.

[0036] In operation S101, the time-domain correlation coefficient between microwave signals received by different polarization antennas at the same time is calculated.

[0037] Typically, deep space exploration microwave payloads are equipped with multiple antennas with different polarizations to receive electromagnetic waves with components of different polarization directions. If microwave interference originates from outside the probe or the space environment, the electromagnetic wave data received simultaneously by different antennas should exhibit a high correlation. Therefore, in this embodiment, the time-domain correlation coefficient between microwave signals received by antennas with different polarizations at the same time can be calculated to determine the source of the interference signal.

[0038] In this embodiment, the time-domain correlation coefficient can be obtained by calculating the Pearson correlation coefficient of microwave signals received by antennas with different polarizations. Specifically, it can be based on...

[0039]

[0040] Calculate the time-domain correlation coefficient r(X, Y), where X and Y represent the microwave signals received by different polarized antennas at the same time, Cov(X, Y) is the covariance between X and Y, Var[X] is the variance of X, and Var[Y] is the variance of Y.

[0041] If the received microwave signal is a complex number after being transmitted, the complex microwave signal can be directly input into the above formula, and the output r(X, Y) will also be a complex number. The real part is taken as the final time-domain correlation coefficient.

[0042] In operation S102, the frequency domain correlation coefficient between microwave signals at the same frequency received by antennas with different polarizations is calculated.

[0043] Figure 2 A flowchart illustrating a method for calculating frequency domain correlation coefficients according to an embodiment of the present disclosure is shown.

[0044] like Figure 2 As shown, the calculation process of the frequency domain correlation coefficient may include, for example, operations S201 to S203.

[0045] In operation S201, the spectrum of each microwave data is calculated.

[0046] In one embodiment of this disclosure, the spectrum of microwave data can be obtained by performing a Fourier transform on the microwave data and calculating the amplitude of the Fourier transform result. Alternatively, the complex result of the Fourier transform can be directly used as the spectrum of the microwave data; in this case, the real part of the correlation coefficient needs to be taken to obtain the final result. If the microwave signal undergoes IQ demodulation to remove the carrier frequency before downlinking, a spectrum shift can be performed to convert the original spectrum in the frequency band [0, Fs] to a spectrum in the frequency band [-Fs / 2, Fs / 2], setting the center frequency to 0.

[0047] In operation S202, the spectrum of microwave data received by the same polarization antenna is sorted by time to obtain the spectrum data corresponding to each frequency point.

[0048] In one embodiment of this disclosure, the spectrum of data received by the same antenna can be arranged sequentially according to the reception time. Then, each frequency point can obtain a spectrum data with a length equal to the number of channels, representing the trend of energy change of that frequency point over time.

[0049] In operation S203, the correlation of the spectral data of different polarized antennas at the same frequency point is calculated to obtain the frequency domain correlation coefficient.

[0050] In one embodiment of this disclosure, frequency domain correlation coefficients can be calculated for spectral data received by different antennas at the same frequency point. If complex spectral data is used for correlation calculation, the real part of the calculation result must be taken to obtain the frequency domain correlation coefficient. This parameter represents the correlation of the frequency energy change trend over time under different polarization directions, and ultimately a frequency domain correlation coefficient can be calculated for each frequency sampling point.

[0051] In operation S103, the cross-correlation coefficient between microwave signals received by the same polarized antenna at different times is calculated.

[0052] Figure 3 A flowchart illustrating a method for calculating cross-correlation coefficients according to an embodiment of the present disclosure is shown.

[0053] like Figure 3 As shown, the calculation process of the cross-correlation coefficient may include, for example, operations S301 to S303.

[0054] In operation S301, a representative set of microwave signals is determined from the microwave signals.

[0055] In one embodiment of this disclosure, "representative" may refer to a large amplitude, a spectral structure similar to other signals, etc. The specific representation can be determined according to actual application requirements, and this disclosure does not impose any limitations.

[0056] In operation S302, a representative microwave signal is cyclically moved in a circular motion, and a microwave signal sequence is generated for each time sampling point moved.

[0057] In one embodiment of this disclosure, a representative microwave signal can be cyclically moved in a circular motion. Each time sampling point is moved, the original microwave signal sampling point changes, thereby generating a new signal sequence.

[0058] In operation S303, the correlation coefficient between each microwave signal sequence and the microwave signal received by the same polarization antenna is calculated to obtain the cross-correlation coefficient.

[0059] In one embodiment of this disclosure, the correlation coefficient of each signal sequence with other signals received by the same antenna is calculated. The real part of the correlation coefficient can be taken, thus generating a curve corresponding to the number of time sampling points shifted and the real part of the correlation coefficient. Such a curve can be generated for each other signal.

[0060] In operation S104, the source and frequency of the interference signal are determined based on the time-domain correlation coefficient and / or frequency-domain correlation coefficient and / or cross-correlation coefficient.

[0061] Figure 4A flowchart illustrating a method for determining the source of an interference signal according to an embodiment of the present disclosure is shown.

[0062] like Figure 4 As shown, the method for determining the source of the interference signal may include, for example, operations S401 to S404.

[0063] In operation S401, the value of the time-domain correlation coefficient is compared with the preset threshold.

[0064] In operation S402, in response to the time-domain correlation coefficient being less than the first threshold, it is determined that the interference signal originates from inside the antenna.

[0065] In operation S403, in response to the time-domain correlation coefficient being greater than the first threshold and less than the second threshold, it is determined that the interference signal originates from inside the antenna and outside the antenna.

[0066] When operating S404, in response to the time-domain correlation coefficient being greater than the second threshold, it is determined that the interference signal originates from outside the antenna.

[0067] For example, the first threshold can be 0.2, and the second threshold can be 0.6. If the correlation coefficient is less than or equal to 0.2, it means that there is basically no correlation between the X and Y data, and the possibility that the interference is from the outside and is received by the antenna is very low; if the correlation coefficient is greater than 0.2 and less than 0.6, it shows a weak correlation, and there may be multiple sources of interference, both internal and external, with little difference in intensity; if the correlation coefficient is greater than or equal to 0.6, it means that the correlation is strong, and the interference may come from outside the detector and be uniformly received by the antenna.

[0068] It should be understood that the size of the first threshold and the second threshold can be determined according to the actual application requirements, and this disclosure does not impose any restrictions.

[0069] In another embodiment of this disclosure, the method for determining the frequency of the interference signal may include, for example, determining the frequency of the interference signal based on the frequency domain correlation coefficient. Specifically, based on the frequency domain correlation coefficients at different frequency points, the frequency of the interference signal can be preliminarily determined, facilitating subsequent interference suppression.

[0070] In another embodiment of this disclosure, the method for determining the frequency of the interference signal may further include, for example, estimating the repetition period of the microwave signal based on the cross-correlation coefficient, and estimating the frequency of the interference signal based on the repetition period. Specifically, in operation S303, the curve corresponding to the number of time sampling point shifts and the real part of the correlation coefficient is obtained. At this time, a more prominent peak or comb-like structure in the curve can be found, and the repetition period of the signal can be estimated based on this, and the frequency of the corresponding interference can be inferred.

[0071] In summary, the interference source determination method for deep space exploration microwave payloads provided in this disclosure determines the source and frequency of interference signals by performing time-domain and frequency-domain correlation analysis on microwave data. Compared to directly comparing time-domain data and spectra of microwave payloads with different polarizations to assess interference, using correlation methods for interference assessment is more intuitive and reliable, solving the problem of complex waveforms and difficulty in comparison of high-frequency electromagnetic waves. Frequency-domain correlation analysis can identify which frequencies show strong correlations in their spectral amplitude changes over time. Besides aiding in interference source analysis, this may provide a more reliable reference for determining the frequency location of noise. The calculation and application of cross-correlation coefficients can determine whether certain components in the signal recur or have strong correlations, helping to locate noise waveforms and repetition periods, and assisting in noise source identification and suppression.

[0072] Figure 5 A block diagram of a low-frequency radio spectrometer interference signal processing apparatus according to an embodiment of the present disclosure is shown schematically.

[0073] like Figure 5 As shown, the interference source determination device 500 for deep space exploration microwave payloads may include a first calculation module 510, a second calculation module 520, a third calculation module 530, and a determination module 540.

[0074] The first calculation module 510 is used to calculate the time-domain correlation coefficient between microwave signals received by different polarized antennas at the same time.

[0075] The second calculation module 520 is used to calculate the frequency domain correlation coefficient between microwave signals at the same frequency received by antennas with different polarizations.

[0076] The third calculation module 530 is used to calculate the cross-correlation coefficient between microwave signals received by the same polarized antenna at different times.

[0077] The determination module 540 is used to determine the source and frequency of the interference signal based on the time-domain correlation coefficient and / or frequency-domain correlation coefficient and / or cross-correlation coefficient.

[0078] Any one or more of the modules, submodules, units, and subunits according to embodiments of the present invention, or at least part of the functions of any one or more of them, can be implemented in a single module. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present invention can be implemented by being divided into multiple modules. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present invention can be at least partially implemented as hardware circuits, such as field-programmable gate arrays (FPGAs), programmable logic arrays (PLAs), systems-on-a-chip, systems-on-a-substrate, systems-on-package, application-specific integrated circuits (ASICs), or implemented in hardware or firmware by any other reasonable means of integrating or packaging circuits, or implemented in software, hardware, and firmware, or in any suitable combination of any of these three implementation methods. Alternatively, one or more of the modules, submodules, units, and subunits according to embodiments of the present invention can be at least partially implemented as computer program modules, which, when run, can perform corresponding functions.

[0079] For example, any plurality of the first computing module 510, the second computing module 520, the third computing module 530, and the determining module 540 can be combined into one module / unit / subunit, or any one of these modules / units / subunits can be split into multiple modules / units / subunits. Alternatively, at least part of the functionality of one or more of these modules / units / subunits can be combined with at least part of the functionality of other modules / units / subunits and implemented in one module / unit / subunit. According to embodiments of the present invention, at least one of the first computing module 510, the second computing module 520, the third computing module 530, and the determining module 540 can be at least partially implemented as hardware circuitry, 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-package, an application-specific integrated circuit (ASIC), or any other reasonable means of integrating or packaging circuitry, or implemented in software, hardware, or firmware, or in any one of the three implementation methods, or in a suitable combination of any of them. Alternatively, at least one of the first calculation module 510, the second calculation module 520, the third calculation module 530, and the determining module 540 may be implemented at least partially as a computer program module, which can perform corresponding functions when the computer program module is run.

[0080] It should be noted that the interference source determination device part of the deep space exploration microwave payload in the embodiments of the present invention corresponds to the interference source determination method part of the deep space exploration microwave payload in the embodiments of the present invention, and their specific implementation details and the resulting technical effects are the same, and will not be repeated here.

[0081] Figure 6 A block diagram of an electronic device suitable for implementing the methods described above, according to an embodiment of the present invention, is shown schematically. Figure 6 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0082] like Figure 6 As shown, an electronic device 600 according to an embodiment of the present invention includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage portion 608 into a random access memory (RAM) 603. The processor 601 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include onboard memory for caching purposes. The processor 601 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0083] RAM 603 stores various programs and data required for the operation of electronic device 600. Processor 601, ROM 602, and RAM 603 are interconnected via bus 604. Processor 601 executes various operations of the method flow according to embodiments of the present invention by executing programs in ROM 602 and / or RAM 603. It should be noted that the programs may also be stored in one or more memories other than ROM 602 and RAM 603. Processor 601 may also execute various operations of the method flow according to embodiments of the present invention by executing programs stored in said one or more memories.

[0084] According to an embodiment of the present invention, the electronic device 600 may further include an input / output (I / O) interface 605, which is also connected to a bus 604. The electronic device 600 may also include one or more of the following components connected to the I / O interface 605: an input section 606 including a keyboard, mouse, etc.; an output section 607 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 610 as needed so that computer programs read from it can be installed into the storage section 608 as needed.

[0085] According to embodiments of the present invention, the method flow according to embodiments of the present invention can be implemented as a computer software program. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable storage medium, the computer program containing program code for performing the method shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network via communication section 609, and / or installed from removable medium 611. When the computer program is executed by processor 601, it performs the functions defined in the system of the embodiments of the present invention. According to embodiments of the present invention, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0086] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into the device / apparatus / system. The computer-readable storage medium carries one or more programs, which, when executed, implement the method according to the embodiments of the present invention.

[0087] According to embodiments of the present invention, a computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples include, but are not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0088] For example, according to embodiments of the present invention, a computer-readable storage medium may include one or more memories other than ROM 602 and / or RAM 603 described above.

[0089] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions. Those skilled in the art will understand that the features described in the various embodiments of the present invention can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in the present invention. In particular, the features described in the various embodiments of the present invention can be combined and / or combined in various ways without departing from the spirit and teachings of the present invention. All such combinations and / or pairings fall within the scope of this invention.

Claims

1. A method for determining interference sources of a deep space exploration microwave payload, characterized in that, include: Calculate the time-domain correlation coefficient between microwave signals received by antennas with different polarizations at the same time. Calculate the frequency domain correlation coefficient between microwave signals at the same frequency received by antennas with different polarizations; Calculate the cross-correlation coefficient between microwave signals received by the same polarization antenna at different times; The source and frequency of the interference signal are determined based on the time-domain correlation coefficient, the frequency-domain correlation coefficient, and the cross-correlation coefficient. The calculation of the frequency domain correlation coefficient between microwave signals at the same frequency received by antennas with different polarizations specifically includes: Calculate the spectrum of each microwave data; sort the spectrum of microwave data received by the same polarization antenna according to time to obtain the spectrum data corresponding to each frequency point; calculate the correlation of the spectrum data of the same frequency point from different polarization antennas to obtain the frequency domain correlation coefficient; The calculation of the cross-correlation coefficient between microwave signals received by the same polarized antenna at different times specifically includes: A representative set of microwave signals is determined from the microwave signals; the representative microwave signals are cyclically moved in a circular motion, and a microwave signal sequence is generated for each time sampling point moved; the correlation coefficient between each microwave signal sequence and the microwave signal received by the same polarization antenna is calculated to obtain the cross-correlation coefficient. The step of determining the source and frequency of the interference signal based on the time-domain correlation coefficient, the frequency-domain correlation coefficient, and the cross-correlation coefficient specifically includes: In response to the time-domain correlation coefficient being less than or equal to a first threshold, it is determined that the interference signal originates from inside the antenna. In response to the time-domain correlation coefficient being greater than a first threshold and less than a second threshold, it is determined that the interference signal originates from inside the antenna and outside the antenna. In response to the time-domain correlation coefficient being greater than or equal to the second threshold, it is determined that the interference signal originates from outside the antenna. The frequency of the interference signal is determined based on the frequency domain correlation coefficient. Specifically, the frequency of the interference signal can be preliminarily determined based on the frequency domain correlation coefficient at different frequency points, which facilitates subsequent interference suppression. Frequency domain correlation analysis helps to analyze the source of interference and provides a more reliable reference for determining the frequency location of noise. The repetition period of the microwave signal is estimated based on the cross-correlation coefficient, and the frequency of the interference signal is estimated based on the repetition period. Specifically, after obtaining the curve corresponding to the number of time sampling points shifted and the real part of the correlation coefficient, the more prominent peaks or comb-like structures in the curve are found, and the repetition period of the signal is estimated based on this, and the frequency of the corresponding interference is inferred. The calculation and application of the cross-correlation coefficient helps to locate the noise waveform and repetition period, and assists in the identification of noise sources and noise suppression.

2. The interference source determination method according to claim 1, characterized in that, The calculation of the time-domain correlation coefficient between microwave signals received by different polarization antennas at the same time specifically includes: according to Calculate the time-domain correlation coefficient ,in, These represent the microwave signals received by antennas with different polarizations at the same time. for Covariance between Let X be the variance. Let Y be the variance.

3. The method for determining interference sources according to claim 1, characterized in that, The calculation of the spectrum for each microwave data point specifically includes: Perform a Fourier transform on the microwave data and calculate the amplitude of the Fourier transform result to obtain the spectrum of the microwave data; Alternatively, the complex result of the Fourier transform can be directly used as the spectrum of the microwave data.

4. A device for determining interference sources of a deep space exploration microwave payload, the device being applicable to the method as described in claim 1, characterized in that, include: The first calculation module is used to calculate the time-domain correlation coefficient between microwave signals received by different polarization antennas at the same time. The second calculation module is used to calculate the frequency domain correlation coefficient between microwave signals at the same frequency received by antennas with different polarizations; The third calculation module is used to calculate the cross-correlation coefficient between microwave signals received by the same polarized antenna at different times; The determination module is used to determine the source and frequency of the interference signal based on the time-domain correlation coefficient, the frequency-domain correlation coefficient, and the cross-correlation coefficient.

5. An electronic device, characterized in that, include: One or more processors; Memory, used to store 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 method of any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, It stores executable instructions that, when executed by a processor, cause the processor to implement the method of any one of claims 1 to 3.

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