Resource sensing method, system and equipment of joint frequency domain-generalized signal space, and medium

Abstract

The invention discloses a resource sensing method, system, equipment and medium of a joint frequency domain-generalized signal space, and the method comprises the steps: carrying out the frequency domain resource sensing of a to-be-sensed frequency spectrum, and obtaining an occupied frequency band; and carrying out generalized information space resource sensing on the occupied frequency band, and the method, the system, the equipment and the medium can solve the problems of frequency domain rapid sensing and insufficient resource mining.

Description

Technical Field

[0001] The present invention belongs to the field of 5G communication technology and relates to a resource perception method, system, device and medium of a joint frequency domain-generalized signal space. Background Art

[0002] With the widespread promotion of 5G networks, the rapid development of Internet of Things technology and the emergence of many emerging technologies, the demand for radio resources is growing. Cognitive radio technology plays a key role in solving the problem of tight spectrum resources by improving spectrum utilization efficiency. Spectrum resources are very precious. If the frequency band occupied by the user is idle, that is, there is a "spectrum hole", it will inevitably cause a waste of resources. At present, a large number of studies have focused on spectrum sensing technology, and a variety of spectrum sensing algorithms have been developed, such as spectrum sensing algorithms based on energy detection. Energy detection refers to calculating the energy or power spectrum density of the signal in each frequency band, comparing it with the pre-set threshold value and making a judgment to obtain the detection result. This detection method is very time-consuming when dealing with a very wide spectrum to be sensed.

[0003] Since the communication rate is directly related to the bandwidth, the faster the current communication rate is, the greater the bandwidth required is. Currently, the available spectrum resources are limited. In order to avoid mutual interference, different platforms and users will choose to use different frequency bands, resulting in the scarcity of spectrum resources. General spectrum sensing can only sense whether the frequency band is being used, but cannot determine whether the used frequency band can continue to be used. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and to provide a joint frequency domain-generalized signal space resource perception method, system, device and medium, which can solve the problems of rapid frequency domain perception and insufficient resource exploitation.

[0005] To achieve the above object, the present invention discloses a resource sensing method of a joint frequency domain-generalized signal space, comprising:

[0006] Perform frequency domain resource perception on the spectrum to be sensed to obtain the occupied frequency band;

[0007] For the occupied frequency band, resource perception in a generalized information space is performed.

[0008] The further improvement of the resource sensing method of the joint frequency domain-generalized signal space of the present invention is:

[0009] Furthermore, the process of performing frequency domain resource perception on the spectrum to be perceived and obtaining the occupied frequency band is as follows:

[0010] Obtaining a power spectrum of a signal to be sensed;

[0011] Taking the minimum perception granularity as the perception interval, the power spectrum of the perceived signal is divided into equal intervals to obtain the power spectra of several frequency bands;

[0012] By interpolation, the frequency difference between two adjacent frequency bands is equal to the minimum perceptual granularity Δf min Or the absolute value of the power spectrum difference between two adjacent frequency bands is less than the interpolation decision threshold ΔA;

[0013] For the minimum perceptual granularity Δf min Each adjacent frequency band is traversed and sensed to determine the occupied frequency band.

[0014] Furthermore, the process of obtaining the power spectrum of the signal to be sensed is:

[0015] The time domain signal to be sensed is sampled to obtain a number of discrete signals;

[0016] Performing discrete Fourier transform on each of the discrete signals to obtain a transform sequence;

[0017] The transformed sequence is squared, summed, and averaged to obtain a power spectrum of the signal to be sensed.

[0018] Furthermore, the interpolation method is used to make the frequency difference between two adjacent frequency bands equal to the minimum perceptual granularity Δf min Or the process where the absolute value of the power spectrum difference between two adjacent frequency bands is less than the interpolation decision threshold ΔA is:

[0019] 1) The power spectral density P of the first frequency band 1 And the power spectral density P of the last frequency band N Put it into array I;

[0020] 2) determining whether the absolute value of the difference between the power spectrum densities of two adjacent frequency bands in array I is greater than or equal to a preset interpolation decision threshold ΔA;

[0021] 3) When the absolute value of the difference between the power spectrum densities of two adjacent frequency bands in array I is greater than or equal to the preset interpolation decision threshold ΔA, the power spectrum density of the intermediate frequency band between the two adjacent frequency bands is put into array I;

[0022] 4) Repeat steps 2 to 3) until the frequency difference between two adjacent frequency bands is equal to the minimum perceptual granularity Δf min Or the absolute value of the power spectrum difference between two adjacent frequency bands is less than the interpolation decision threshold ΔA.

[0023] Furthermore, for the minimum perceptual granularity Δf min The process of traversing and sensing each adjacent frequency band to determine the occupied frequency band is as follows:

[0024] When the power spectrum density of any frequency band is less than the preset decision threshold ΔH, it means that the frequency band is a spectrum hole;

[0025] When the power spectrum density of any frequency band is greater than or equal to the preset decision threshold ΔH, it means that the frequency band is occupied.

[0026] Furthermore, the process of performing resource perception of the generalized information space on the occupied frequency band is:

[0027] Utilize the orthogonality of different characteristic waveforms to perceive mixed signals;

[0028] Multi-time slot sensing of the characteristic waveform of the mixed signal;

[0029] Signal transmission using the sensed characteristic waveform.

[0030] The present invention discloses a resource perception system of a joint frequency domain-generalized signal space, comprising:

[0031] A first sensing module is used to sense the resources of the spectrum to be sensed in the frequency domain and obtain the occupied frequency band;

[0032] The second perception module is used to perform resource perception of the generalized information space for the occupied frequency band.

[0033] The further improvement of the resource perception system of the joint frequency domain-generalized signal space of the present invention is:

[0034] Furthermore, the first perception module includes:

[0035] An acquisition module, used for acquiring a power spectrum of a signal to be sensed;

[0036] A division module is used to divide the power spectrum of the perceived signal into equal intervals with the minimum perception granularity as the perception interval to obtain power spectra of several frequency bands;

[0037] The difference module is used to make the frequency difference between two adjacent frequency bands equal to the minimum perceptual granularity Δf by interpolation. min Or the absolute value of the power spectrum difference between two adjacent frequency bands is less than the interpolation decision threshold ΔA;

[0038] Determine module for the minimum perceptual granularity Δf min Each adjacent frequency band is traversed and sensed to determine the occupied frequency band.

[0039] The present invention discloses a computer device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the resource perception method of the joint frequency domain-generalized signal space are implemented.

[0040] The present invention discloses a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the resource perception method of the joint frequency domain-generalized signal space are implemented.

[0041] The present invention has the following beneficial effects:

[0042] The resource perception method, system, device and medium of the joint frequency domain-generalized signal space described in the present invention, during specific operation, utilizes the characteristics of different power spectral densities exhibited when different users occupy frequency bands, performs multi-granularity perception on the spectrum to be perceived, determines unoccupied frequency bands, and then traverses and perceives the frequency bands with the smallest perception granularity to achieve efficient perception of spectrum resources. At the same time, characteristic waveforms are used to further utilize the occupied spectrum to achieve resource perception in the generalized signal space. On the premise of achieving the same idle spectrum resource recognition rate, the detection running time of the perception process can be greatly reduced, and the perception efficiency can be significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0044] Figure 1 This is the power spectrum contour diagram of the spectrum sensing of this scheme;

[0045] Figure 2 This is the flowchart of this solution;

[0046] Figure 3 The present invention is based on the minimum perception granularity Δf min The idle resource recognition rate bar graphs at 1MHz, 2MHz, and 4MHz;

[0047] Figure 4 The present invention is based on the minimum perception granularity Δf min A line chart comparing the detection run time of 10 repeated simulations with the benchmark solution at 1MHz;

[0048] Figure 5 The initial spectrum diagram and the spectrum diagram after introducing a new signal using the perceived characteristic waveform when the number of initial signals is selected as 5, the length of the characteristic waveform is 8, and the time slot is 10 in the present invention;

[0049] Figure 6 A histogram comparing the signal-to-noise ratio before and after the new characteristic waveform is introduced into the present invention; DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] In the description of the present invention, it should be understood that the terms “include” and “comprises” indicate the presence of described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0052] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0053] It should be further understood that the term "and / or" used in the present specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.

[0054] It should be understood that, although the terms first, second, third, etc. may be used to describe preset ranges, etc. in the embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0055] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0056] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings here can usually be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0057] Various structural schematic diagrams of the embodiments disclosed in the present invention are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0058] Embodiment 1

[0059] Figure 1 It represents the schematic diagram of the power spectrum in the generalized signal space. The outline of the spectrum can be of any shape. Assume that the frequency band range of the generalized signal space starts at f s , ending at f e , the frequency band width is f e -f s , f s and f e It can take any non-negative value and satisfy f e >f s .

[0060] refer to Figure 2 The resource sensing method of the joint frequency domain-generalized signal space of the present invention comprises the following steps:

[0061] 1) Perform frequency domain resource perception on the spectrum to be sensed;

[0062] 11) Obtaining the power spectrum of the signal to be sensed;

[0063] 111) The time domain signal x(t) to be sensed has a bandwidth of B. According to the Nyquist sampling theorem, the sampling frequency R=2B is used for sampling to obtain a discrete signal x(n);

[0064] 112) Perform N-point DFT on the discrete signal x(n) to obtain the transformed sequence X(K), where k=0,1,2...,N-1;

[0065] 113) Square and sum X(K), then take the average to obtain the power spectrum P of the signal to be sensed. XX ,in,

[0066] 12) Determine the minimum perceptual granularity and divide the power spectrum;

[0067] With the minimum perception granularity Δf min is the power spectrum P of the perceived signal to be sensed at the sensing interval XX Divide into N segments at equal intervals, and get the power spectrum P of each segment j ,j=1,2...,N, where

[0068] 13) Determine whether to perform interpolation based on the selected power spectrum difference. Different users often show different power spectrum densities when occupying frequency bands, so the power spectrum density P of the first frequency band can be selected. 1 And the power spectral density P of the Nth frequency band N The absolute value of the difference |P N -P 1 |Compare with the preset interpolation decision threshold ΔA, set array I to store the selected power spectrum density, at this time, only P 1 and P N .

[0069] 131) When the absolute value of the difference |P N -P 1 | is less than the preset interpolation decision threshold ΔA, it means that the first frequency band and the Nth frequency band are occupied by the same user, and there will be no spectrum hole in the intermediate frequency band.

[0070] 132) When the absolute value of the difference |P N -P 1 | is not less than the preset interpolation decision threshold ΔA, it means that different users occupy the two frequency bands, and there is a possibility of a "spectrum hole" in the middle frequency band. The power spectral density P of the frequency band N / 2 Put them into array I, and then compare all adjacent frequency bands in array I in pairs.

[0071] 133) loop iteration until the interpolation is completed, and repeat step 132) until the difference between the frequencies of any two adjacent frequency bands is equal to the minimum perceptual granularity Δf min Or the absolute value of the power spectrum difference between any two frequency bands is smaller than the preset interpolation decision threshold ΔA.

[0072] 14) Perform traversal perception on the unperceived frequency bands to locate the "spectrum holes". After the loop iteration stops, select the frequency difference between two adjacent frequency bands equal to the minimum perception granularity Δf min All frequency bands are traversed and sensed.

[0073] When the power spectrum density of the frequency band to be sensed is less than the preset decision threshold ΔH, it means that the frequency band is a spectrum hole.

[0074] When the power spectrum density of the frequency band to be sensed is not less than the preset decision threshold ΔH, it means that the frequency band is occupied.

[0075] 2) Then, for the occupied frequency band, perform resource perception in the generalized signal space;

[0076] 21) Using the orthogonality of different characteristic waveforms to perceive mixed signals;

[0077] Assume that there are K signals currently transmitted using a characteristic waveform of length M, where the value range of K is 0≤K≤M, and the modulation process of the characteristic waveform is: Among them, y is a mixed signal with a length of M, S i is the i-th signal transmitted in a time slot, with a length of 1, C i is the i-th characteristic waveform with a length of M, and ni is the noise with a length of M in the transmission channel.

[0078] 22) Multi-slot perception;

[0079] Only sensing a single time slot cannot fully obtain the information of the characteristic waveform in the mixed signal. The new characteristic waveform obtained will cause significant interference to the existing signal during the transmission of the new signal. Therefore, T time slots of the mixed signal must be sensed.

[0080] 221) Let the mixed signal of the mth time slot be y m , S m,i is the i-th signal transmitted in the m-th time slot, with a length of 1,1 where 0≤m≤T, and the expression of the multi-slot modulation process is:

[0081] 222) Perception is performed from multiple time slots, and the perception process expression is: Among them, C new Represents the characteristic waveform to be sensed. When C new The mixed signal y of each time slot m The inner product of is less than the decision threshold ΔQ, and C new Available characteristic waveforms.

[0082] 23) Use the sensed available characteristic waveform to transmit new signals;

[0083] When an unused characteristic waveform can be perceived, it proves that there is a generalized signal space resource that can be utilized, and it is set as C K+1 ,C K+2 ...,C M , a new signal S is generated at this time K+1 ,S K+2 ...,S M It is modulated with the perceived characteristic waveform and superimposed on the initial mixed signal y m Get a new mixed signal The expression of the modulation process is:

[0084] Simulation experiment

[0085] In the frequency domain perception simulation process, the traditional spectrum sensing technology solution based on energy detection is used as a benchmark comparison solution and compared with the present invention. In the simulation, the bandwidth of the signal to be sensed is set to 20MHz, including one "spectrum hole" of 1MHz, 2MHz and 4MHz. In the generalized signal space perception simulation process, the number of initial signals is selected as 5, the characteristic waveform length is 8, and the time slot is 10.

[0086] The performance metrics include the following:

[0087] Idle spectrum resource identification rate: defined as the ratio of the identified “spectrum hole” bandwidth to the total “spectrum hole” bandwidth;

[0088] Detection running time: It is defined as the computational time taken by the perception algorithm from the start to the end.

[0089] Feature waveform discovery rate: defined as the ratio of the number of perceived usable feature waveforms to the number of theoretically perceptible feature waveforms.

[0090] The simulation results are as follows Figure 3 , Figure 4 and Figure 5 As shown, Figure 3 is the spectrum recognition rate diagram of the present invention at different perception granularities, Figure 3 It can be seen that as the minimum perceptual granularity Δf min The recognition rate of idle spectrum resources gradually increases.

[0091] Figure 4 The present invention is based on the minimum perception granularity Δf min The comparison line chart of the detection running time of 10 repeated simulations with the benchmark solution at 1MHz is shown in Figure 1. Figure 4It can be seen that the detection running time of the present invention is much shorter than the benchmark comparison scheme. Figure 3 As a result, the present invention has a minimum perceptual granularity Δf min When the bandwidth is 1MHz, not only can all "spectrum holes" be identified, but more efficient spectrum perception can also be achieved.

[0092] Figure 5 For the generalized signal space perception link, when the number of initial signals is selected as 5, the length of the characteristic waveform is 8, and the time slot is 10, the initial spectrum diagram and the spectrum diagram after introducing the new signal using the perceived characteristic waveform are: Figure 5 It can be seen that there is no "spectrum hole" in the initial spectrum diagram, and the occupied spectrum can be utilized by using the present invention.

[0093] Figure 6 The signal-to-noise ratio comparison bar chart before and after the new characteristic waveform is introduced into the present invention is shown in FIG. Figure 6 It can be seen that the signal-to-noise ratio does not change significantly before and after the introduction of the new characteristic waveform, which verifies that the perceived characteristic waveform has good orthogonality with the original characteristic waveform and can be used to transmit multiple signals in the same channel. At this time, the characteristic waveform discovery rate reaches 1.

[0094] Embodiment 2

[0095] The present invention discloses a resource perception system of a joint frequency domain-generalized signal space, comprising:

[0096] A first sensing module is used to sense the resources of the spectrum to be sensed in the frequency domain and obtain the occupied frequency band;

[0097] The second perception module is used to perform resource perception of the generalized information space for the occupied frequency band.

[0098] In this embodiment, the first perception module includes:

[0099] An acquisition module, used for acquiring a power spectrum of a signal to be sensed;

[0100] A division module is used to divide the power spectrum of the perceived signal into equal intervals with the minimum perception granularity as the perception interval to obtain power spectra of several frequency bands;

[0101] The difference module is used to make the frequency difference between two adjacent frequency bands equal to the minimum perceptual granularity Δf by interpolation. min Or the absolute value of the power spectrum difference between two adjacent frequency bands is less than the interpolation decision threshold ΔA;

[0102] Determine module for the minimum perceptual granularity Δf min Each adjacent frequency band is traversed and sensed to determine the occupied frequency band.

[0103] Embodiment 3

[0104] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the resource perception method of the joint frequency domain-generalized signal space are implemented. The memory may include a memory, such as a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk memory, etc. The processor, the network interface, and the memory are interconnected through an internal bus. The internal bus may be an industrial standard architecture bus, a peripheral component interconnection standard bus, an extended industrial standard structure bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs. Specifically, the program may include a program code, and the program code includes computer operation instructions. The memory may include a memory and a non-volatile memory, and provide instructions and data to the processor.

[0105] Embodiment 4

[0106] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the resource perception method of the joint frequency domain-generalized signal space are implemented. Specifically, the computer-readable storage medium includes, but is not limited to, for example, a volatile memory and / or a non-volatile memory. The volatile memory may include a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may include a read-only memory (ROM), a hard disk, a flash memory, an optical disk, a magnetic disk, etc.

[0107] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0108] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0111] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and disclosure of the invention. This application is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed by the present invention. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0112] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

[0113] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any way. Any simple modification, change and equivalent structural change made to the above embodiment based on the technical essence of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A joint frequency domain-generalized signal space resource sensing method, characterized in that: include: Perform frequency domain resource perception on the spectrum to be sensed to obtain the occupied frequency band; For the occupied frequency band, resource perception in a generalized information space is performed.

2. The resource sensing method of the joint frequency domain-generalized signal space according to claim 1, characterized in that: The process of performing frequency domain resource sensing on the spectrum to be sensed and obtaining the occupied frequency band is as follows: Obtaining a power spectrum of a signal to be sensed; Taking the minimum perception granularity as the perception interval, the power spectrum of the perceived signal is divided into equal intervals to obtain the power spectra of several frequency bands; By interpolation, the frequency difference between two adjacent frequency bands is equal to the minimum perceptual granularity Δf min Or the absolute value of the power spectrum difference between two adjacent frequency bands is less than the interpolation decision threshold ΔA; For the minimum perceptual granularity Δf min Each adjacent frequency band is traversed and sensed to determine the occupied frequency band.

3. The joint frequency domain-generalized signal space resource sensing method according to claim 1, characterized in that: The process of obtaining the power spectrum of the signal to be sensed is: The time domain signal to be sensed is sampled to obtain a number of discrete signals; Performing discrete Fourier transform on each of the discrete signals to obtain a transform sequence; The transformed sequence is squared, summed, and averaged to obtain a power spectrum of the signal to be sensed.

4. The resource sensing method of the joint frequency domain-generalized signal space according to claim 1, characterized in that: The interpolation method is used to make the frequency difference between two adjacent frequency bands equal to the minimum perceptual granularity Δf min Or the process where the absolute value of the power spectrum difference between two adjacent frequency bands is less than the interpolation decision threshold ΔA is: 1) The power spectral density P1 of the first frequency band and the power spectral density P of the last frequency band N Put it into array I; 2) determining whether the absolute value of the difference between the power spectrum densities of two adjacent frequency bands in array I is greater than or equal to a preset interpolation decision threshold ΔA; 3) When the absolute value of the difference between the power spectrum densities of two adjacent frequency bands in array I is greater than or equal to the preset interpolation decision threshold ΔA, the power spectrum density of the intermediate frequency band between the two adjacent frequency bands is put into array I; 4) Repeat steps 2 to 3) until the frequency difference between two adjacent frequency bands is equal to the minimum perceptual granularity Δf min Or the absolute value of the power spectrum difference between two adjacent frequency bands is less than the interpolation decision threshold ΔA.

5. The joint frequency domain-generalized signal space resource sensing method according to claim 1, characterized in that: For the minimum perceptual granularity Δf min The process of traversing and sensing each adjacent frequency band to determine the occupied frequency band is as follows: When the power spectrum density of any frequency band is less than the preset decision threshold ΔH, it means that the frequency band is a spectrum hole; When the power spectrum density of any frequency band is greater than or equal to the preset decision threshold ΔH, it means that the frequency band is occupied.

6. The joint frequency domain-generalized signal space resource sensing method according to claim 1, characterized in that: The process of performing resource perception of the generalized information space on the occupied frequency band is as follows: Utilize the orthogonality of different characteristic waveforms to perceive mixed signals; Multi-time slot sensing of the characteristic waveform of the mixed signal; Signal transmission using the sensed characteristic waveform.

7. A joint frequency domain-generalized signal space resource perception system, characterized in that: include: A first sensing module is used to sense the resources of the spectrum to be sensed in the frequency domain and obtain the occupied frequency band; The second perception module is used to perform resource perception of the generalized information space for the occupied frequency band.

8. The joint frequency domain-generalized signal space resource perception system according to claim 7, characterized in that: The first perception module includes: An acquisition module, used for acquiring a power spectrum of a signal to be sensed; A division module is used to divide the power spectrum of the perceived signal into equal intervals with the minimum perception granularity as the perception interval to obtain power spectra of several frequency bands; The difference module is used to make the frequency difference between two adjacent frequency bands equal to the minimum perceptual granularity Δf by interpolation. min Or the absolute value of the power spectrum difference between two adjacent frequency bands is less than the interpolation decision threshold ΔA; Determine module for the minimum perceptual granularity Δf min Each adjacent frequency band is traversed and sensed to determine the occupied frequency band.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the joint frequency domain-generalized signal space resource perception method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the joint frequency domain-generalized signal space resource perception method as described in any one of claims 1 to 6 are implemented.

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