Information processing apparatus, information processing method, and program

Abstract

To appropriately detect a detection target signal even when the detection target signal exists across a plurality of divided images.SOLUTION: There is provided an information processing apparatus including a division unit configured to divide a spectrum image of a received wireless signal into a plurality of first divided spectrum images and a second divided spectrum image, a detection unit configured to detect a first specific range including a first specific signal in the first divided spectrum image and a second specific range including a second specific signal in the second divided spectrum image, and an output unit configured to output information based on the specific signals when the first specific signal and the second specific signal are specific signals extending over the first divided spectrum image and the second divided spectrum image.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] Patent Document 1 discloses a technology that can further improve processing speed by dividing spectrum data into M divided regions, converting the divided regions into partial spectrum images, and performing region estimation processing. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2023-55315 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in Patent Document 1, for example, if a signal to be detected exists at the boundary of the divided spectrum images, there is a possibility that the accuracy of detecting the signal may decrease.

[0005] In view of the above-described problems, an object of the present disclosure is to provide a technology that can appropriately detect a signal to be detected even when the signal exists across multiple divided images. [Means for solving the problem]

[0006] A first aspect of the present disclosure provides an information processing device having: a division unit that divides a spectrum image of a received radio signal into a plurality of first divided spectrum images and second divided spectrum images; a detection unit that detects a first specific range in the first divided spectrum image that includes a first specific signal and a second specific range in the second divided spectrum image that includes a second specific signal; and an output unit that outputs information based on the specific signals when the first specific signal and the second specific signal are specific signals that straddle the first divided spectrum image and the second divided spectrum image.

[0007] Furthermore, a second aspect of the present disclosure provides an information processing method that divides a spectrum image of a received radio signal into a plurality of first divided spectrum images and second divided spectrum images, detects a first specific range in the first divided spectrum image that includes a first specific signal, and a second specific range in the second divided spectrum image that includes a second specific signal, and if the first specific signal and the second specific signal are specific signals that straddle the first divided spectrum image and the second divided spectrum image, outputs information based on the specific signals.

[0008] In addition, a third aspect of the present disclosure provides a program for causing a computer to execute a process of dividing a spectrum image of a received radio signal into a plurality of first divided spectrum images and second divided spectrum images, detecting a first specific range in the first divided spectrum image that includes a first specific signal, and a second specific range in the second divided spectrum image that includes a second specific signal, and outputting information based on the specific signal if the first specific signal and the second specific signal are specific signals that straddle the first divided spectrum image and the second divided spectrum image. [Effects of the Invention]

[0009] According to one aspect, even when a signal to be detected exists across a plurality of divided images, it can be detected appropriately. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a diagram illustrating an example of a configuration of an information processing apparatus according to an embodiment. [Figure 2] 1 is a diagram illustrating an example of the configuration of an information processing system according to an embodiment. [Figure 3] FIG. 1 is a diagram illustrating an example of a hardware configuration of an information processing apparatus according to an embodiment. [Figure 4] 10 is a flowchart illustrating an example of processing by the information processing apparatus according to the embodiment. [Figure 5] 10A and 10B are diagrams illustrating an example of integrating coordinate information by combining the coordinate information according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0011] The principles of the present disclosure will be described with reference to some exemplary embodiments. It should be understood that these embodiments are set forth for illustrative purposes only, to aid those skilled in the art in understanding and practicing the present disclosure, without implying any limitation on the scope of the disclosure. The disclosure described herein may be implemented in various ways other than those described below.

[0012] In the following description and claims, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0013] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. Note that each drawing is merely an example for describing one or more embodiments. Each drawing may not relate to only one particular embodiment, but may also relate to one or more other embodiments. As will be understood by those skilled in the art, various features or steps described with reference to any one drawing can be combined with features or steps shown in one or more other drawings to create, for example, an embodiment not explicitly shown or described. Not all features or steps shown in any one drawing are necessarily required to describe an exemplary embodiment, and some features or steps may be omitted. The order of steps described in any drawing may be changed as appropriate.

[0014] (Embodiment 1) <Configuration> The configuration of an information processing device 10 according to an embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing an example of the configuration of an information processing device (teacher data generation device) 10 according to an embodiment. The information processing device 10 has a division unit 11, a detection unit 12, and an output unit 13. Each of these units may be realized by cooperation between one or more programs installed in the information processing device 10 and hardware such as a processor and memory of the information processing device 10.

[0015] The dividing unit 11 divides a spectrum image of a received radio signal into a plurality of first divided spectrum images and second divided spectrum images. The detecting unit 12 detects a first specific range in the first divided spectrum image that includes a first specific signal, and a second specific range in the second divided spectrum image that includes a second specific signal.

[0016] When the first specified signal and the second specified signal are specified signals that straddle the first divided spectrum image and the second divided spectrum image, the output unit outputs information based on the specified signals.

[0017] (Embodiment 2) <System configuration> Next, the configuration of an information processing system 1 according to an embodiment will be described with reference to Fig. 2. Fig. 2 is a diagram showing an example of the configuration of the information processing system 1 according to an embodiment. In the example of Fig. 2, the information processing system 1 has an information processing device 10 and a receiving device 20. In the example of Fig. 2, the information processing device 10 and the receiving device 20 are connected so as to be able to communicate with each other via a network N. Note that the number of information processing devices 10 and the receiving devices 20 is not limited to the example of Fig. 2.

[0018] Examples of the network N include, for example, the Internet, a mobile communication system, a wireless LAN (Local Area Network), a LAN, a bus, etc. Examples of the mobile communication system include, for example, a fifth generation mobile communication system (5G), a sixth generation mobile communication system (6G, Beyond 5G), a fourth generation mobile communication system (4G), a third generation mobile communication system (3G), etc.

[0019] The information processing device 10 may be, for example, a server, a cloud, a personal computer, a smartphone, or the like. The information processing device 10 may detect a specific signal, which is a detection exercise, from a received wireless signal. Then, the information processing device 10 may output information related to the specific information to a user.

[0020] The receiving device 20 includes a radio wave sensor that receives various types of radio signals. The receiving device 20 performs a Fourier transform on the received radio signal data to generate spectrum data, and transmits the spectrum data to the information processing device 10.

[0021] <Hardware configuration> Fig. 3 is a diagram showing an example of the hardware configuration of an information processing device 10 according to an embodiment. In the example of Fig. 3, the information processing device 10 (computer 100) includes a processor 101, a memory 102, and a communication interface 103. These components may be connected via a bus or the like. The memory 102 stores at least a part of a program 104. The communication interface 103 includes an interface required for communication with other network elements.

[0022] When the program 104 is executed by the processor 101, memory 102, and the like in cooperation with each other, the computer 100 performs at least some of the processing of the embodiments of the present disclosure. The memory 102 may be of any type. As a non-limiting example, the memory 102 may be a non-transitory computer-readable storage medium. The memory 102 may also be implemented using any suitable data storage technology, such as semiconductor-based memory devices, magnetic memory devices and systems, optical memory devices and systems, fixed memory, and removable memory. Although only one memory 102 is shown in the computer 100, several physically different memory modules may exist in the computer 100. The processor 101 may be of any type. The processor 101 may include one or more of a general-purpose computer, a special-purpose computer, a microprocessor, a digital signal processor (DSP), and a processor based on a multi-core processor architecture, as a non-limiting example. The computer 100 may have multiple processors, such as application-specific integrated circuit chips that are time-slaved to a clock that synchronizes the main processor.

[0023] Embodiments of the present disclosure may be implemented in hardware or special purpose circuits, software, logic, or any combination thereof. Some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software that may be executed by a controller, microprocessor, or other computing device.

[0024] The present disclosure also provides at least one computer program product tangibly stored on a non-transitory computer-readable storage medium. The computer program product includes computer-executable instructions, such as instructions included in program modules, that execute on a target real or virtual processor or device to perform the processes or methods of the present disclosure. Program modules include routines, programs, libraries, objects, classes, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The functionality of the program modules may be combined or divided among program modules as desired in various embodiments. The machine-executable instructions of the program modules may be executed in local or distributed devices. In a distributed device, the program modules may be located in both local and remote storage media.

[0025] The program code for executing the methods of the present disclosure may be written in any combination of one or more programming languages. The program code may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus. When the program code is executed by the processor or controller, the functions / acts in the flowcharts and / or implementing block diagrams are performed. The program code may be executed entirely on the machine, partly on the machine, as a standalone software package, partly on the machine and partly on a remote machine, or entirely on a remote machine or server.

[0026] The program can be stored and provided to a computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible recording media. Examples of non-transitory computer-readable media include magnetic recording media, magneto-optical recording media, optical disk media, and semiconductor memory. Magnetic recording media include, for example, flexible disks, magnetic tapes, and hard disk drives. Magneto-optical recording media include, for example, magneto-optical disks. Optical disk media include, for example, Blu-ray discs, CD (Compact Disc)-ROMs (Read Only Memory), CD-Rs (Recordable), and CD-RWs (Rewritable). Semiconductor memory includes, for example, solid-state drives, mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, and RAMs (Random Access Memory). The program may also be provided to a computer by various types of temporary computer-readable media. Examples of temporary computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire or an optical fiber, or via a wireless communication path.

[0027] <Processing> Next, an example of processing of the information processing device 10 according to the embodiment will be described with reference to Fig. 4 and Fig. 5. Fig. 4 is a flowchart showing an example of processing of the information processing device 10 according to the embodiment. Fig. 5 is a diagram showing an example of integrating coordinate information by combining according to the embodiment. Note that the processing of Fig. 4 may be executed when a predetermined operation is performed by the user, for example.

[0028] In step S101, the dividing unit 11 divides the spectrum image of the radio signal received by the receiving device 20 into divided spectrum images. Here, the spectrum image may be generated based on spectrum data generated by performing a fast discrete Fourier transform (FFT) process on the received signal. The dividing unit 11 may divide the spectrum image into N (N is an integer equal to or greater than 2) divided spectrum images so that the divided spectrum images do not overlap.

[0029] Next, the detection unit 12 performs a detection process for each divided spectrum image to detect a specific range (area) or the like containing one or more specific signals on each divided spectrum image (step S102). Here, the detection unit 12 may also detect (estimate) information about each specific signal from the divided spectrum image using, for example, AI (Artificial Intelligence). Here, examples of the information about the specific signal may include, for example, signal type, class, such as digital communication wave, analog communication wave, or non-communication wave, and transmission source information.

[0030] The following process is performed for each specified signal. Next, the output unit 13 determines whether the specified signal straddles adjacent divided spectrum images (sharing an image edge) (step S103). Here, the output unit 13 may determine whether the first specified signal detected from the first divided spectrum image and the second specified signal detected from the second divided spectrum image adjacent to the first divided spectrum image are the same signal. In this case, the output unit 13 may determine whether the first specified signal is discontinued at the edge adjacent to the second divided spectrum image and whether the second specified signal is discontinued at the edge adjacent to the first divided spectrum image of the image. Then, the output unit 13 may determine that the specified signal straddles adjacent divided spectrum images only when these conditions are satisfied. In this case, the output unit 13 may determine whether the distance (e.g., the difference in horizontal coordinates) between the edge of the first specified region including the first specified signal and the edge of the first divided spectrum image is within a threshold (e.g., approximately the same). Furthermore, the output unit 13 may determine whether the distance between the edge of the second specific region including the second specific signal and the edge of the second split spectrum image is within a threshold value, for example. If each of these conditions is satisfied, the output unit 13 may determine that the specific signal straddles adjacent split spectrum images.

[0031] In addition, the output unit 13 may determine that the specific signal straddles adjacent split spectrum images, for example, when the distance between the end of the first specific range containing the first specific signal on the side of the second split spectrum image and the end of the second specific range containing the second specific signal on the side of the first split spectrum image is within a threshold value.

[0032] 5 shows an example of a first specific range 521 including a first specific signal detected in a first divided spectrum image 511, and a second specific range 522 including a second specific signal detected in a second divided spectrum image 512. In the example of FIG. 5, the output unit 13 may determine that the distance (difference in horizontal coordinates) between an end 541 of the first specific range 521 on the second divided spectrum image 512 side and an end 542 of the second specific range 522 on the first divided spectrum image 511 side is within a threshold value.

[0033] Furthermore, in addition to the above-mentioned conditions, the output unit 13 may further determine whether or not information about the first specific signal detected in the first divided spectrum image by the detection unit 12 matches information about the second specific signal detected in the second divided spectrum image by the detection unit 12. If these conditions are met, the output unit 13 may determine that the specific signal straddles adjacent divided spectrum images.

[0034] Furthermore, in addition to at least one of the above-described conditions, the output unit 13 may further determine whether or not a difference between the power level (received intensity) of the first specified signal detected in the first divided spectrum image and the power level of the second specified signal detected in the second divided spectrum image is equal to or less than a threshold value. If each of these conditions is satisfied, the output unit 13 may determine that the specified signal straddles adjacent divided spectrum images.

[0035] In this case, the output unit 13 may first determine a threshold NT for determining whether two signals near the boundary between the multiple split spectrum images are a single signal or different signals. The output unit 13 may, for example, generate a histogram from the spectrum data and determine the threshold NT by adding a predetermined value D to the power level NO of the most frequent value. Alternatively, the output unit 13 may, for example, calculate the average value A and standard deviation c of the power levels of noise parts in the spectrum data (e.g., areas where no specific signal is detected by the detection unit 12), and determine the threshold NT using the following equation (1): NT=A+c×2 (1)

[0036] The output unit 13 may then calculate, for example, a weighted average Pav of power levels near the boundary between the multiple divided spectrum images. In this case, the output unit 13 may set the weight of the weighted average higher the closer to the boundary between the multiple divided spectrum images and lower the farther from the boundary. The output unit 13 may then compare the calculated weighted average Pav of power levels near the boundary with the aforementioned threshold NT. If the weighted average Pav of power levels near the boundary is less than the threshold NT, the output unit 13 may determine that the two signals near the boundary between the multiple divided spectrum images are different signals. On the other hand, if the weighted average Pav of power levels near the boundary is equal to or greater than the threshold NT, the output unit 13 may determine that the two signals near the boundary between the multiple divided spectrum images are the same signal. This makes it possible to appropriately determine whether to merge the signals even when, for example, each specific range (bounding box) detected by the detection unit 12 is inside the boundary between the two images, as shown in FIG. 5.

[0037] If the specific signal does not span multiple divided spectrum images (NO in step S103), the process proceeds to step S105. On the other hand, if the specific signal spans multiple divided spectrum images (YES in step S103), the output unit 13 integrates the specific range including the specific signal between adjacent divided spectrum images (step S104). This makes it possible to improve the signal detection accuracy (especially the center frequency estimation accuracy) and prevent a decrease in processing speed, for example, when a range including the specific signal exists at the boundary between multiple divided images.

[0038] (Example of integrating coordinate information by combining it) The output unit 13 may, for example, combine coordinate information indicating a range including each specific signal detected in each divided spectrum image. In this case, the output unit 13 may, for example, determine one of the two ends of the first specific range that is not on the side of the second divided spectrum image as the coordinate of one end of the integrated specific range. Then, the output unit 13 may, for example, determine one of the two ends of the second specific range that is not on the side of the first divided spectrum image as the coordinate of the other end of the integrated specific range.

[0039] In this case, in the example of Figure 5, the output unit 13 may, for example, set the coordinate of the lower left corner of the first specific range 521 as the coordinate of the lower left corner of the integrated specific range 531, and set the coordinate of the upper right corner of the second specific range 522 as the coordinate of the upper right corner of the integrated specific range 531.

[0040] (Example of integrating images by synthesizing them and then detecting them again) The output unit 13 may integrate the signals by, for example, synthesizing a plurality of adjacent split spectrum images and causing the detection unit 12 to re-detect a specific range containing a specific signal based on the synthesized image, thereby further improving the accuracy of signal detection.

[0041] In this case, the output unit 13 may synthesize (generate) an image of the central parts of the adjacent divided spectrum images, for example. In this case, the image of the central parts may be an image obtained by combining, for example, the half of the first divided spectrum image that is adjacent to the second divided spectrum image and the half of the second divided spectrum image that is adjacent to the first divided spectrum image.

[0042] Next, the output unit 13 outputs the center frequency and bandwidth of each specific range in which each specific signal is included (step S105). Here, when the split spectrum images are integrated, the output unit 13 may calculate the bandwidth and center frequency of the specific signal based on the coordinate information after integration.

[0043] <Detection example using machine learning> 4, the detection unit 12 may detect a specific range including a specific signal based on the divided spectrum image using a trained model generated by machine learning. In this case, the division unit 11 may acquire a data set that is a combination of the spectrum image and data indicating the specific range input by the operator.

[0044] The dividing unit 11 may divide the spectrum image into divided spectrum images, and divide the specific range into divided specific ranges according to the range included in each divided spectrum image.The detecting unit 12 may perform supervised machine learning using a combination of the divided spectrum image and the divided specific range included in the divided spectrum image as learning data.

[0045] (others) When detecting a specific region containing a specific signal directly from a high-resolution wideband spectrum image, the number of pixels is large, which increases the time required for the detection (inference) process. As a result, for example, the time required for detection may exceed the allowable delay time.

[0046] On the other hand, when detection processing is performed for each divided spectrum image (sub-image) obtained by dividing a spectrum image, detection (inference) can be performed in parallel, which reduces the time required for detection (delay time). However, if a signal to be detected (specific signal) exists at the boundary between adjacent divided spectrum images, the coordinate information and class number of the inference result are output independently for each divided spectrum image. This may result in a decrease in the accuracy of estimating the coordinate information and center frequency.

[0047] As described above, according to the present disclosure, signals that span adjacent split spectral images are integrated, so that even if a signal to be detected exists across multiple split images, it can be detected appropriately.

[0048] <Modification> The information processing device 10 may be a device contained in a single housing, but the information processing device 10 of the present disclosure is not limited to this. Each unit of the information processing device 10 may be realized, for example, by cloud computing configured with one or more computers. Furthermore, the information processing device 10 and the receiving device 20 may be housed in the same housing and configured as an integrated information processing device. Furthermore, at least a portion of the processing of each functional unit of the information processing device 10 may be performed by the receiving device 20. Such information processing devices 10 are also included in examples of the "information processing device" of the present disclosure.

[0049] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0050] Some or all of the above embodiments may also be described as, but are not limited to, the following appendices. Note that some or all of the elements (e.g., configurations and functions) described in each appendix dependent on appendix 1 may also be dependent on independent appendices in other categories in a similar dependency relationship. Some or all of the elements described in any appendix may be applied to various hardware, software, recording means for recording software, systems, and methods. (Appendix 1) a dividing unit that divides a spectrum image of a received radio signal into a plurality of first divided spectrum images and a plurality of second divided spectrum images; a detection unit that detects a first specific range in the first divided spectrum image that includes a first specific signal and a second specific range in the second divided spectrum image that includes a second specific signal; an output unit that outputs information based on the specific signals when the first specific signal and the second specific signal are specific signals that span the first divided spectrum image and the second divided spectrum image; An information processing device having the above. (Appendix 2) the output unit determines that the first specified signal and the second specified signal are the specified signals spanning the first divided spectrum image and the second divided spectrum image when a distance between an edge of a first specified region including the first specified signal and an edge of the first divided spectrum image is within a threshold and a distance between an edge of a second specified region including the second specified signal and an edge of the second divided spectrum image is within a threshold. 10. The information processing device according to claim 1. (Appendix 3) the output unit determines that the first specified signal and the second specified signal are the specified signals spanning the first divided spectrum image and the second divided spectrum image when a distance between an end of the first specified range including the first specified signal on the second divided spectrum image side and an end of the second specified range including the second specified signal on the first divided spectrum image side is within a threshold. 10. The information processing device according to claim 1. (Appendix 4) the detection unit detects information about the first specified signal based on the first divided spectrum image, and detects information about the second specified signal based on the second divided spectrum image; The output unit is further configured to determine, when the information about the first specified signal and the information about the second specified signal detected by the detection unit match, that the first specified signal and the second specified signal are the specified signals spanning the first divided spectrum image and the second divided spectrum image. 4. The information processing device according to claim 2 or 3. (Appendix 5) the output unit further determines that the first specific signal and the second specific signal are the specific signals that straddle the first divided spectrum image and the second divided spectrum image when a weighted average of power levels near a boundary between the first divided spectrum image and the second divided spectrum image is equal to or greater than a threshold. 4. The information processing device according to claim 2 or 3. (Appendix 6) the output unit determines, of both ends of the first specific range, the end that is not on the second divided spectrum image side as the end on one side of the specific range including the specific signal, and determines, of both ends of the second specific range, the end that is not on the first divided spectrum image side as the end on the other side of the specific range. 3. The information processing device according to claim 1 or 2. (Appendix 7) the detection unit detects a specific range including the specific signal based on an image obtained by combining the first divided spectrum image and the second divided spectrum image. 3. The information processing device according to claim 1 or 2. (Appendix 8) the output unit outputs information indicating a bandwidth and a center frequency of the specific signal. 3. The information processing device according to claim 1 or 2. (Appendix 9) Dividing a spectrum image of the received radio signal into a plurality of first divided spectrum images and a plurality of second divided spectrum images; detecting a first specific range in the first divided spectrum image that includes a first specific signal and a second specific range in the second divided spectrum image that includes a second specific signal; When the first specific signal and the second specific signal are specific signals that span the first divided spectrum image and the second divided spectrum image, information based on the specific signals is output. Information processing methods. (Appendix 10) Dividing a spectrum image of the received radio signal into a plurality of first divided spectrum images and a plurality of second divided spectrum images; detecting a first specific range in the first divided spectrum image that includes a first specific signal and a second specific range in the second divided spectrum image that includes a second specific signal; When the first specific signal and the second specific signal are specific signals that span the first divided spectrum image and the second divided spectrum image, information based on the specific signals is output. A program that causes a computer to perform a process. [Explanation of symbols]

[0051] 1. Information Processing Systems 10. Information processing equipment 11 Division 12 Detector 13 Output section 20 Receiving device

Claims

1. a dividing unit that divides a spectrum image of a received radio signal into a plurality of first divided spectrum images and a plurality of second divided spectrum images; a detection unit that detects a first specific range in the first divided spectrum image that includes a first specific signal and a second specific range in the second divided spectrum image that includes a second specific signal; an output unit that outputs information based on the specific signals when the first specific signal and the second specific signal are specific signals that span the first divided spectrum image and the second divided spectrum image; An information processing device having the above.

2. the output unit determines that the first specified signal and the second specified signal are the specified signals spanning the first divided spectrum image and the second divided spectrum image when a distance between an edge of a first specified region including the first specified signal and an edge of the first divided spectrum image is within a threshold and a distance between an edge of a second specified region including the second specified signal and an edge of the second divided spectrum image is within a threshold. The information processing device according to claim 1 .

3. the output unit determines that the first specified signal and the second specified signal are the specified signals spanning the first divided spectrum image and the second divided spectrum image when a distance between an end of the first specified range including the first specified signal on the second divided spectrum image side and an end of the second specified range including the second specified signal on the first divided spectrum image side is within a threshold. The information processing device according to claim 1 .

4. the detection unit detects information about the first specified signal based on the first divided spectrum image, and detects information about the second specified signal based on the second divided spectrum image; The output unit is further configured to determine, when the information about the first specified signal and the information about the second specified signal detected by the detection unit match, that the first specified signal and the second specified signal are the specified signals that span the first split-spectrum image and the second split-spectrum image.

4. The information processing device according to claim 2 or 3.

5. the output unit is further configured to determine that the first specific signal and the second specific signal are specific signals that straddle the first divided spectrum image and the second divided spectrum image when a weighted average of power levels near a boundary between the first divided spectrum image and the second divided spectrum image is equal to or greater than a threshold.

4. The information processing device according to claim 2 or 3.

6. the output unit determines, of both ends of the first specific range, the end that is not on the second divided spectrum image side as the end on one side of the specific range including the specific signal, and determines, of both ends of the second specific range, the end that is not on the first divided spectrum image side as the end on the other side of the specific range.

3. The information processing device according to claim 1.

7. the detection unit detects a specific range including the specific signal based on an image obtained by combining the first divided spectrum image and the second divided spectrum image.

3. The information processing device according to claim 1.

8. the output unit outputs information indicating a bandwidth and a center frequency of the specific signal.

3. The information processing device according to claim 1.

9. Dividing a spectrum image of the received radio signal into a plurality of first divided spectrum images and a plurality of second divided spectrum images; detecting a first specific range in the first divided spectrum image that includes a first specific signal and a second specific range in the second divided spectrum image that includes a second specific signal; When the first specific signal and the second specific signal are specific signals that span the first divided spectrum image and the second divided spectrum image, information based on the specific signals is output. Information processing methods.

10. Dividing a spectrum image of the received radio signal into a plurality of first divided spectrum images and a plurality of second divided spectrum images; detecting a first specific range in the first divided spectrum image that includes a first specific signal and a second specific range in the second divided spectrum image that includes a second specific signal; When the first specific signal and the second specific signal are specific signals that span the first divided spectrum image and the second divided spectrum image, information based on the specific signals is output. A program that causes a computer to perform a process.

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