CN113868483B - Wireless spectrum interference evidence obtaining analysis method based on alliance chain - Google Patents
Wireless spectrum interference evidence obtaining analysis method based on alliance chain Download PDFInfo
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Abstract
A radio spectrum interference evidence obtaining analysis method based on a alliance chain is characterized by comprising the following steps: step 1, configuring a spectrum acquisition node and a spectrum management node in a alliance chain network of a region to be tested, and acquiring spectrum related data on each spectrum using device in the region to be tested through the spectrum management node; step 2, analyzing the frequency spectrum related data collected in the step 1 by adopting a frequency spectrum algorithm, and storing an analysis result into a frequency spectrum account book of a corresponding node in the area to be tested; and 3, identifying and processing the spectrum interference based on the alliance chain consensus. The method has simple steps, has good adaptability to the alliance chain network, can realize a decentralized spectrum interference identification method, and effectively realizes the monitoring and processing of spectrum illegal use in alliance chain application with nodes of a plurality of spectrum users.
Description
Technical Field
The invention relates to the field of alliance chains, in particular to a radio spectrum interference evidence obtaining analysis method based on alliance chains.
Background
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. It utilizes a block-chain data structure to verify and store data, utilizes a distributed node consensus algorithm to generate and update data, utilizes cryptographic means to secure data transmission and access, and utilizes intelligent contracts composed of automated script code to program and manipulate data. The block chain has the characteristics of distributed storage, multi-party consensus, traceable operation and anonymous identity, so that the block chain has wide application prospects in the fields of government affairs and livelihood, financial science and technology, judicial evidence collection, copyright protection and supply chain management.
A federation chain is a cluster composed of multiple private chains, a blockchain in which multiple enterprises participate in management, and each organization or enterprise manages one or more nodes whose data only allows different enterprises in the system to read, write, and transmit. Compared with a public chain, the alliance chain has the advantages of being strong in controllability, semi-centralized, high in transaction speed and free of data acquiescence and disclosure. The alliance chain is the main force of the block chain at the present stage, and in the aspect of application scenes, the alliance chain also steps into a 'scene application' stage, and electronic invoice and supply chain traceability applications are already in the initial scale. The exploration of the application scene of the alliance chain has practical significance for really using the block chain, actively promoting the development of the block chain technology and industry and continuously making strong block chain technology research and application.
Because the value of the blockchain is that trust cost is reduced and transaction efficiency is improved, user behaviors in the blockchain system are often uncontrollable due to anonymous and decentralized organization of users, and therefore a large amount of abnormal behaviors are generated to influence the healthy development of the system. Compared with the block chain, the alliance chain is taken as the flexible and controllable block chain with efficiency, and is very suitable for enterprises and organizations to use in application scenarios of landing the block chain. In addition, the "semi-centralized" feature of the federation chain also makes possible efficient supervision. By monitoring the alliance chain, standardizing data transaction, algorithm transaction and resource transaction, punishing illegal transaction and early warning abnormal behaviors, the transaction efficiency of the block chain can be further improved, the system stability is improved, the value advantage of the block chain is exerted, and the cost reduction and the efficiency improvement of enterprises are facilitated.
Under the background of large-scale construction and application of a power wireless private network with a 1.8G frequency band in a power system, the application of the alliance link technology in the power wireless private network has a wider space. The block chain and dynamic spectrum sharing is a key technology of 6G communication, a 1790MHz-1800MHz frequency band used by a power wireless private network is a frequency band shared by a plurality of industries, each industry has respective characteristics, for example, rail traffic is used along a fixed rail and in a fixed time period, power is used in all weather in an area with power service, and the spectrum sharing based on the alliance chain technology can greatly improve the use efficiency of the spectrum.
However, in the prior art, there is no method for monitoring or identifying spectrum usage of multiple spectrum users based on a federation chain network. Therefore, when there are base station devices of multiple spectrum users in the alliance-link network, the spectrum is very easy to be illegally occupied, and once the situation occurs, the data service transmission of other spectrum users will be seriously affected.
In addition, there are some methods for analyzing spectrum usage data of each spectrum user in the prior art. For example, the background art document "frequency and harmonic estimation of power system based on complex unscented kalman filter", trefoil, etc., the ship power technology, vol.41, No. 7, and month 7 of 2021 disclose a method for estimating a power system spectrum, which can realize estimation of system signal frequency and harmonic for a power system signal complex state space model. Background art document "research on second and fourth order moment snr estimation methods", doritan et al, university of chardong science (natural science edition), vol 19, No. 6, month 11 2005 discloses a study on the application of second and fourth order moment snr estimation methods in real and complex channels. However, such estimation can only be performed for spectrum usage of each spectrum user, and there is no way to dynamically acquire the radio authority authorization information in the alliance-link network and the requirements for licensed spectrum of each antenna in the legal usage rules, and the comparison between each spectrum usage and the licensed spectrum requirements.
In view of the above problems, a radio spectrum interference evidence analysis method based on alliance chain is needed.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to provide a radio spectrum interference evidence obtaining analysis method based on a alliance chain.
The invention adopts the following technical scheme.
A radio spectrum interference evidence obtaining analysis method based on a alliance chain comprises the following steps: step 1, configuring a spectrum acquisition node and a spectrum management node in a alliance chain network of a region to be tested, and acquiring spectrum related data on each spectrum using device in the region to be tested through the spectrum management node; step 2, analyzing the frequency spectrum related data collected in the step 1 by adopting a frequency spectrum algorithm, and storing an analysis result into a frequency spectrum account book of a corresponding node in a region to be tested; and 3, identifying and processing the spectrum interference based on the alliance chain consensus.
Preferably, the spectrum acquisition nodes are nodes of a plurality of spectrum users meeting the requirements of the intelligent contract; the spectrum management node is the only spectrum management node in the alliance-link network.
Preferably, the judgment mode of the area to be tested is as follows: and when the frequency spectrum acquisition nodes of at least two frequency spectrum users are deployed in the region and the average interfered times in the region in the historical months is greater than the average interfered times in the alliance chain network, judging that the current region is the region to be tested.
Preferably, the number of spectrum users is 4.
Preferably, the method for acquiring the frequency spectrum related data includes that each other node calls an intelligent contract to perform desensitization and encryption on the data to be acquired or the hash digests of the data to be acquired in sequence and then cochain the data.
Preferably, the spectrum-related data includes a basic information uplink and a real-time parameter uplink of each other node; the basic information uplink comprises a node name, a use frequency band, an antenna hanging height, a longitude and latitude position, a use time interval, an azimuth angle and a downward inclination angle of each sector of the antenna, an identification code of each sector of the antenna and an antenna transmitting power interval; the real-time parameter uplink includes terminal access data, uplink and downlink noise.
Preferably, the method for distinguishing the terminal access data from the uplink and downlink noise is a second-order moment signal-to-noise ratio estimation method.
Preferably, when any one of the other nodes detects an abnormality, the node itself sends out a consensus judgment or sends out a consensus judgment request to the spectrum management node; the frequency management node sends out consensus judgment after receiving the consensus judgment request; and identifying and processing the spectrum interference in the region to be tested based on consensus judgment.
Preferably, the method for judging the node detects the abnormality is as follows: and when the real-time noise power of the received signal of the node is greater than the sum of the average noise power of the node and the power judgment critical value, the node is considered to have an abnormal condition.
Preferably, the average noise power of the node is an average value of noise power samples in the node historical signal; the power decision threshold of a node is the variance of noise power samples in the node's historical signal.
Preferably, the method for consensus judgment comprises the following steps: step 3.1, a fast Fourier transform algorithm is adopted to receive a signal from any one of a spectrum acquisition node or a spectrum management node to obtain a frequency domain representation of the signal, and the frequency domain representation of the signal is calculated by adopting a power system frequency estimation method based on a plurality of unscented Kalman filters to obtain the frequency of the signal; step 3.2, calculating the average transmitting power of the node receiving signals based on the second moment and fourth moment signal-to-noise ratio estimation methods, and demodulating the node receiving signals to obtain the frequency user type and the frequency user identification code of the signals; step 3.3, inquiring the required frequency spectrum and the required power range of the signal from the intelligent contract based on the frequency spectrum using device type and the frequency spectrum using device identification code of the signal; and 3.4, comparing the required frequency spectrum and the required power range of the signal with the frequency and the average transmission power of the signal respectively to obtain the frequency spectrum using equipment violating the intelligent contract.
Preferably, each spectrum acquisition node and spectrum management node store the intelligent contract; the intelligent contract is stored with a lookup table, and the lookup table comprises the association relationship between the type of the spectrum using equipment and the required spectrum and the required power range.
Preferably, the obtaining mode of the required frequency spectrum and the required power range in the lookup table is obtained by adopting a binary decision tree algorithm; the decision rules of the two-classification decision tree are obtained based on expert experience; the expert experience is radio official authorization information and legal use rules stored in the spectrum management node; the radio authority authorization information and the legal usage rules include the transmission power and spectrum of the licensed antenna.
Compared with the prior art, the radio spectrum interference evidence obtaining method based on the alliance chain has the beneficial effects that the area to be tested can be analyzed by acquiring the spectrum related data in the area to be tested in the alliance chain, so that the identification and the processing of the spectrum interference are realized. The method has simple steps, has good adaptability to the alliance chain network, can realize a decentralized spectrum interference identification method, and effectively realizes the monitoring and processing of spectrum illegal use in alliance chain application with nodes of a plurality of spectrum users.
The beneficial effects of the invention also include:
1. because the data are recorded into respective frequency spectrum accounts, the data integrity before data consensus is ensured, and the efficiency of analysis and evidence obtaining is improved. The mode of setting the frequency spectrum account book not only ensures the integrity before data consensus, but also prevents the occurrence of unilateral data tampering.
2. Because each node in the invention is deployed with the same intelligent contract, each node can process the abnormal spectrum using condition by adopting the logic of the same intelligent contract before writing the data into the spectrum book of each node, and the processing result has higher confidence by adopting the consensus of each party obtained by the method.
3. The method not only discharges the occupation of the private pseudo base station to the frequency spectrum, but also prevents different users from occupying the resources of other users in a certain period or a certain frequency band in an area with a plurality of frequency spectrum resource users, thereby better restricting the standard degree of the frequency spectrum resource use of operators.
4. The invention fully utilizes the characteristics of the alliance chain network, properly carries out the processes of data desensitization and encryption in the data transmission process, and realizes the security of data transmission. For example, after the data is encrypted in this way, tampering of the data, attack by "man in the middle", and the like can be effectively prevented.
5. The consensus judgment method adopted in the invention can dynamically classify and monitor the frequency spectrum occupation condition of each device in the network according to the radio official authorization information and the information of the legal use rule based on a two-classification method, so that the analysis result is more accurate.
Drawings
Fig. 1 is a schematic flowchart illustrating steps of a radio spectrum interference evidence-obtaining analysis method based on a alliance chain according to the present invention;
fig. 2 is a schematic diagram of a network architecture of a alliance-link network in a radio spectrum interference evidence analysis method based on alliance-link networks according to the present invention.
Detailed Description
The present application is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.
Fig. 1 is a schematic flowchart illustrating steps of a radio spectrum interference forensics analysis method based on a federation chain according to the present invention. As shown in fig. 1, a radio spectrum interference forensics analysis method based on a federation chain includes steps 1 to 3.
Step 1, configuring a spectrum acquisition node and a spectrum management node in a alliance chain network of a region to be tested, and acquiring spectrum related data on each spectrum using device in the region to be tested through the spectrum management node.
In the method, a frequency spectrum acquisition node and a frequency spectrum management node can be configured in a alliance chain network of an area to be tested. Specifically, in the alliance-link network, each spectrum user may set one or more spectrum collection nodes, and the nodes may be connected to a plurality of wireless base station devices to collect and summarize basic information such as data traffic, spectrum, power, and the like of their own devices.
On the other hand, there is usually only one spectrum management node in one alliance-link network, and the node may store information related to spectrum management, such as radio official management information and legal usage rules of spectrum, in advance. Due to the existence of the contents, the spectrum management node can generate a relevant spectrum lookup table and distribute the table to all other nodes in the alliance chain network in an intelligent contract mode. Typically, the node is implemented by the radio authority using an existing monitoring station or a new deployment of monitoring stations. The node can uplink the legal usage rules while monitoring wireless signals from other nodes in real time, such as consensus evaluation requests.
Fig. 2 is a schematic diagram of a network architecture of a alliance-link network in a radio spectrum interference evidence analysis method based on alliance-link networks according to the present invention. As shown in fig. 2, the spectrum collection node is a node of a plurality of spectrum users meeting the requirements of an intelligent contract; the spectrum management node is the only spectrum management node in the alliance-link network.
In an embodiment of the present invention, the number of spectrum users is 4. These spectrum users may be different operators in the alliance-link network where the base station devices are arranged, such as communication operators and operators of private networks of power systems, etc.
Preferably, the judgment mode of the area to be tested is as follows: and when the nodes of at least two spectrum users are deployed in the region and the average interfered times in the region in the historical months is greater than the average interfered times in the alliance chain network, judging that the current region is the region to be tested.
It can be understood that, in the present invention, the number of spectrum users in a region can be obtained, and if the number is greater than or equal to 2, the spectrum usage in the region can be considered to be more complex, and the probability of unreasonable and irregular spectrum usage is higher, so that the region can be tested.
Specifically, the area in the present invention is a part of the entire alliance-link network. The devices in the partial network may each be in an administrative area or otherwise physically separated area. Generally, the entire alliance chain network can cover a relatively wide area, such as a whole city, while the coverage area of the area to be tested in the present invention is relatively small, such as the coverage area of the area to be tested can be a local area in the alliance chain, for example, a cell, a street, etc.
Further, whether the base station is located in the area to be tested or not can be judged according to the information such as the geographical position, the longitude and latitude coordinates and the like of the base station. The average number of times of interference in the area may then be obtained from the total number of times of interference for all base station devices in the area for a number of historical months. The average number of interfered times in the alliance-chain network can be determined based on the condition of all devices in the area where the alliance chain is located in the whole.
Preferably, the method for acquiring the frequency spectrum related data includes that each other node calls an intelligent contract to perform desensitization and encryption on the data to be acquired or the hash digests of the data to be acquired in sequence and then cochain the data.
It can be understood that the acquisition method of the spectrum related data in the invention is similar to the data transmission method commonly used in the alliance chain, and comprises the steps of data desensitization, encryption and the like.
Specifically, the data desensitization method of the present invention is as follows: firstly, analyzing data to be desensitized and generating an analysis result; secondly, determining a desensitization mode according to the analysis result, and determining a desensitization rule corresponding to the desensitization mode; and finally, desensitizing the data to be desensitized according to the determined desensitization rule, and sending the data to be desensitized after desensitization to the data cluster.
In an embodiment of the present invention, for the radio spectrum data related to the power grid, the actual condition of the power grid system may be considered for desensitization. In the invention, the longitude and latitude data of the frequency spectrum interference occurrence point can be collected, and desensitization is realized by adopting a mode of increasing data offset, for example, the longitude and latitude data of the original equipment is (x, y), and the offset is (x _ offset, y _ offset). The latitude and longitude of the data after the addition of the offset amount is changed to (x + x _ offset, y + y _ offset), thereby obtaining desensitization. In another embodiment of the present invention, the time stamps of the data may also be offset and desensitized. The offset amounts (x _ offset, y _ offset) in the present invention may be set in advance.
Secondly, the present invention generally includes two kinds of data, one is data on a link, that is, the data is transmitted by means of an uplink in a alliance link. The other is the data under the chain, i.e. the data content is large and not suitable for transmission on the chain, for example, the original transmission data obtained by direct acquisition.
For the first type of data on the chain, it can be automatically encrypted based on the identity of the organization in the federation chain. In addition, for the downlink data, the data encryption method is as follows: firstly, when a data private storage space setting request is received, determining the data size, the data type, the data encryption level and the identity of a user to which the data belongs of the data to be constructed in the private storage space; and then, constructing a private storage space corresponding to the data size, the data type, the data encryption level and the identity of the user to which the data belongs, and encrypting the data according to the space.
After the data is encrypted in this way, the data can be effectively prevented from being tampered, attacked by a man-in-the-middle and the like.
Preferably, the spectrum-related data includes a basic information uplink and a real-time parameter uplink of each other node; the basic information uplink comprises a node name, a use frequency band, an antenna hanging height, a longitude and latitude position, a use time interval, an azimuth angle and a downward inclination angle of each sector of the antenna, an identification code of each sector of the antenna and an antenna transmitting power interval; the real-time parameter uplink includes terminal access data, uplink and downlink noise.
The basic information uplink in the invention comprises some basic information of the equipment, and the officially-erected base station in the area and the privately-assumed pseudo base station can be accurately distinguished through the basic parameters, so that the illegal use of the frequency spectrum and the frequency spectrum interference caused by the pseudo base station under the condition can be effectively cut off.
Preferably, the method for distinguishing the terminal access data from the uplink and downlink noise is a second-order moment signal-to-noise ratio estimation method.
In the invention, the judgment of the information belonging to the noise can firstly assume that the noise is additive white Gaussian noise, and at the moment, the difference between the noise and the useful signal is the cumulant with more than second order. Since the cumulative amount of the additive white gaussian noise of the second order or more is 0, it is possible to distinguish between noise and a useful signal based on the characteristics of the additive white gaussian noise.
And 2, analyzing the frequency spectrum related data acquired in the step 1 by adopting a frequency spectrum algorithm, and storing an analysis result into a frequency spectrum account book of a corresponding node in the area to be tested.
On one hand, in the invention, partial original content of the frequency spectrum related data can be recorded in the frequency spectrum book, on the other hand, in the invention, the data collected in the step 1 can be analyzed, so that a corresponding result is obtained, and the corresponding content of the data transmission mode caused by the result is recorded. Because the invention can activate the identification and processing of the spectrum interference by the consensus judgment sent by a certain node, namely after receiving the consensus judgment, each node can achieve consensus on the generated judgment result and simultaneously record the data in the respective spectrum account book. The mode of setting the frequency spectrum account book not only ensures the integrity before data consensus, but also prevents the occurrence of unilateral data tampering.
And 3, identifying and processing the spectrum interference based on the alliance chain consensus.
In the invention, if the area is judged as the area to be tested, the node can acquire corresponding frequency spectrum related data in real time for analysis and update the consensus network transmission mode when receiving the consensus judgment. Meanwhile, after discovering that the user with the illegal use frequency interferes with the use of the spectrum resources by other spectrum users, the method of the invention can also carry out consensus on the judgment result and the uplink of the solution, so that a consensus solution is formed among a plurality of nodes in the alliance chain.
Preferably, when any one of the other nodes detects an abnormality, the node itself sends out a consensus judgment or sends out a consensus judgment request to the spectrum management node; the frequency management node sends out consensus judgment after receiving the consensus judgment request; and identifying and processing the spectrum interference in the region to be tested based on consensus judgment.
Specifically, in the invention, when a certain frequency spectrum user detects that one or more base stations of the user are influenced by noise or other interference, and the communication of the service terminal is not smooth, the consensus judgment can be sent. The mode of sending the consensus judgment is two, the first mode is directly sent by a self frequency spectrum acquisition node, and the other mode is that the consensus judgment is forwarded by a frequency spectrum management node after a request is sent to the frequency spectrum management node.
Generally, whether the consensus evaluation is issued can be based on whether the node is abnormal or not as a determination method.
Preferably, the method for judging the node detects the abnormality is as follows: and when the real-time noise power of the received signal of the node is greater than the sum of the average noise power of the node and the power judgment critical value, the node is considered to have an abnormal condition.
It can be understood that, in the present invention, the average noise power of the node and the power decision threshold may be summed, and the summed result may be compared with the magnitude of the real-time noise power.
Preferably, the average noise power of the node is an average value of noise power samples in the node historical signal; the power decision threshold of a node is the variance of noise power samples in the node's historical signal. It can be seen that the power decision threshold of a node can be a representation of the degree of dispersion of the node, and the average noise power of the node can be a representation of the concentration of the node. The average noise power and the power decision threshold in the present invention can be extracted from the transmission signals of a huge number of alliance chains, or extracted from the historical signals of the current region.
Preferably, the method for consensus judgment comprises the following steps: step 3.1, a fast Fourier transform algorithm is adopted to receive a signal from any one of a spectrum acquisition node or a spectrum management node to obtain a frequency domain representation of the signal, and the frequency domain representation of the signal is calculated by adopting a power system frequency estimation method based on a plurality of unscented Kalman filters to obtain the frequency of the signal; step 3.2, calculating the average transmitting power of the node receiving signals based on the second moment and fourth moment signal-to-noise ratio estimation methods, and demodulating the node receiving signals to obtain the frequency user type and the frequency user identification code of the signals; step 3.3, inquiring the required frequency spectrum and the required power range of the signal from the intelligent contract based on the frequency spectrum using device type and the frequency spectrum using device identification code of the signal; and 3.4, comparing the required frequency spectrum and the required power range of the signal with the frequency and the average transmission power of the signal respectively to obtain the frequency spectrum using equipment violating the intelligent contract.
In the invention, the frequency spectrum and the power of the signal can be acquired respectively. The method for obtaining the signal spectrum may be to obtain the frequency domain representation of the signal through fast fourier transform, and then process the frequency domain representation of the signal through a spectrum estimation method of complex unscented kalman filtering that is already provided in the prior art, so as to obtain the main spectrum interval of the signal.
On the other hand, in the invention, the power of the effective information in the signal and the power of the noise can be distinguished in a high-order cumulant mode, so that the average transmitting power of the effective signal in the signal is obtained.
In addition, while receiving the signal, the signal may be demodulated to obtain information about the transmitting-end device included in the data signal, such as the frequency user type, i.e. from which operator, and a frequency user identification code, such as a unique identification code of the transmitting-end base station device.
Preferably, each spectrum acquisition node and each spectrum management node store an intelligent contract; the intelligent contract is stored with a lookup table, and the lookup table comprises the association relationship between the type of the spectrum using equipment and the required spectrum and the required power range.
The invention has stipulated the relation between the requirement frequency spectrum and the requirement power range of the apparatus of the frequency user type, identification code and the corresponding frequency user in the intellectual contract that is produced in advance in the alliance chain, according to gathering the information such as type and identification code in the signal, can obtain the restriction on two parameters of frequency spectrum and power while transmitting data to the apparatus.
If the limit on one of the parameters exceeds the specification requirements, it indicates that abnormal use of the spectrum resources has occurred. Each node in the alliance chain can adopt the logic of the same intelligent contract to process the abnormal condition, if the processing results are the same, the fact that all the nodes achieve consensus is shown, and the processing results are credible.
Preferably, the obtaining mode of the required frequency spectrum and the required power range in the lookup table is obtained by adopting a binary decision tree algorithm; the decision rules of the two-classification decision tree are obtained based on expert experience; the expert experience is the radio official authorization information and legal use rules stored in the spectrum management node; the radio authority authorization information and the legal usage rules include the transmission power and spectrum of the licensed antenna.
It will be appreciated that the contents of the look-up table stored in the smart contract may vary from case to case. That is, for devices of the same type and the same identification code, the upper and lower limits of the spectrum range that can be used by the device may vary in different situations, e.g., in different time periods.
Table 1 shows an embodiment of the lookup table in the present invention, and as shown in table 1, when the frequency user is 1, 2, or 3, the contents of the upper and lower limits of the frequency range and the transmission power range are all recorded in the table.
TABLE 1 look-up table
In addition, the lookup table itself in the present invention is also dynamically generated, for example, after data linking up such as legal usage rules of radio official administration stored locally by the spectrum management node, the contents in the intelligent contract are generated or updated. And then other nodes can synchronously receive the intelligent contract and obtain a reasonable frequency spectrum range of a certain device through the content in the intelligent contract.
Specifically, the method of two classifications can be adopted to realize the judgment whether the current frequency spectrum of the device is located in the required frequency spectrum range. The expert experience of the two-classification method is generated by the stored radio official authorization information and legal use rules in the intelligent contract.
It should be noted that the intelligent contract in the invention can analyze out frequency out-of-limit or illegal user, and store the analysis result into the frequency spectrum account book of each node. Therefore, after each node receives the consensus judgment, the data of each node can be detected, the interference condition can be analyzed, and the consensus result can be obtained at the same time. In addition, the frequency spectrum account book can be used for recording data into the account book of each node after consensus is achieved, integrity before data consensus is guaranteed, and tampering operation of data by single-party equipment is prevented. Meanwhile, data are recorded into respective frequency spectrum accounts, integrity of the data before being identified together is guaranteed, and evidence obtaining and analyzing efficiency is improved.
In the invention, the content of the frequency spectrum ledger can comprise vectors
Wherein, in the step (A),
is the current frequency of the signal and,
to calculate the average transmit power of the actual signal obtained,
for the type of spectrum-using device,
the identification code of the device is used for the spectrum,
the violation identifier of the device is used for the spectrum. The violation identifier is typically of two types, non-violation and virtualization. In particular, in the present invention, when the device meets both the required spectrum and the required power range, then it is possible to obtain
The value of (1) is non-visualization (non-violation), and when one of the conditions does not meet the requirement, the value of (1) is visualization (violation), and a consensus judgment result is formed.
Compared with the prior art, the radio spectrum interference evidence obtaining method based on the alliance chain has the beneficial effects that the area to be tested can be analyzed by acquiring the spectrum related data in the area to be tested in the alliance chain, so that the identification and the processing of the spectrum interference are realized. The method has simple steps, has good adaptability to the alliance chain network, can realize a decentralized spectrum interference identification method, and effectively realizes the monitoring and processing of spectrum illegal use in alliance chain application with nodes of a plurality of spectrum users.
The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are merely preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for limiting the scope of the present invention, and on the contrary, any improvement or modification made based on the spirit of the present invention should fall within the scope of the present invention.
Claims (13)
1. A radio spectrum interference evidence obtaining analysis method based on a alliance chain is characterized by comprising the following steps:
step 1, configuring a spectrum acquisition node and a spectrum management node in a alliance chain network of a region to be tested, and acquiring spectrum related data on each spectrum using device in the region to be tested through the spectrum management node;
step 2, analyzing the frequency spectrum related data collected in the step 1 by adopting a frequency spectrum algorithm, and storing an analysis result into a frequency spectrum account book of a corresponding node in the area to be tested;
and 3, performing consensus judgment based on the alliance chain consensus to identify whether the signal frequency and the power in the analysis result meet the requirements of an intelligent contract or not, and realizing the processing of the spectrum interference based on the result of the consensus judgment.
2. A federation chain-based radio spectrum interference forensics analysis method as recited in claim 1, wherein:
the frequency spectrum acquisition nodes are nodes of a plurality of frequency spectrum users meeting the requirements of intelligent contracts;
the spectrum management node is the only spectrum management node in the alliance-link network.
3. A federation chain-based radio spectrum interference forensics analysis method as recited in claim 2, wherein:
the judgment mode of the area to be tested is as follows:
and when the spectrum acquisition nodes of at least two spectrum users are deployed in the region and the average interfered times in the region in the historical months is greater than the average interfered times in the alliance chain network, determining that the current region is the region to be tested.
4. A federation chain-based radio spectrum interference forensics analysis method as recited in claim 3, wherein:
the number of spectrum users is 4.
5. A federation chain-based radio spectrum interference forensics analysis method as recited in claim 1, wherein:
the method for acquiring the frequency spectrum related data comprises the step that each frequency spectrum using device calls an intelligent contract to sequentially desensitize and encrypt the data to be acquired or the hash abstract of the data to be acquired and then chain up the data, and the method is called as each other node.
6. A federation chain-based radio spectrum interference forensics analysis method as recited in claim 5, wherein:
the spectrum-related data comprises a basic information uplink and a real-time parameter uplink of each other node;
the basic information uplink comprises a node name, a use frequency band, an antenna hanging height, a longitude and latitude position, a use time interval, an azimuth angle and a downward inclination angle of each sector of the antenna, an identification code of each sector of the antenna and an antenna transmitting power interval;
the real-time parameter uplink comprises terminal access data and uplink and downlink noise.
7. A federation chain-based radio spectrum interference forensics analysis method as recited in claim 6, wherein:
the method for distinguishing the terminal access data from the uplink and downlink noise is a second moment signal-to-noise ratio estimation method.
8. A federation chain-based radio spectrum interference forensics analysis method as recited in claim 5, wherein:
when any one of the other nodes detects the abnormality, the node sends out a consensus judgment or sends out a consensus judgment request to the spectrum management node;
the spectrum management node sends out consensus judgment after receiving the consensus judgment request;
and identifying and processing the spectrum interference in the area to be tested based on the consensus evaluation.
9. A federation chain-based radio spectrum interference forensic analysis method as defined in claim 8 in which:
the judgment mode of the abnormal node detection is as follows:
and when the real-time noise power of the received signal of the node is greater than the sum of the average noise power of the node and the power judgment critical value, the node is considered to have an abnormal condition.
10. A federation chain-based radio spectrum interference forensics analysis method as recited in claim 9, wherein:
the average noise power of the node is the average value of noise power samples in the node historical signal;
the power decision critical value of the node is the variance of noise power samples in the node historical signal.
11. A federation chain-based radio spectrum interference forensics analysis method as recited in claim 1, wherein:
the consensus judgment method comprises the following steps:
step 3.1, a fast Fourier transform algorithm is adopted to receive a signal from any one of the frequency spectrum acquisition nodes or the frequency spectrum management nodes to obtain a frequency domain representation of the signal, and the frequency domain representation of the signal is calculated by adopting a power system frequency estimation method based on a plurality of unscented Kalman filters to obtain the frequency of the signal;
step 3.2, calculating the average transmitting power of the node receiving signals based on a second moment and fourth moment signal-to-noise ratio estimation method, and demodulating the node receiving signals to obtain the frequency user type and the frequency user identification code of the signals;
step 3.3, inquiring the required frequency spectrum and the required power range of the signal from the intelligent contract based on the frequency spectrum using device type and the frequency spectrum using device identification code of the signal;
and 3.4, comparing the required frequency spectrum and the required power range of the signal with the frequency and the average transmission power of the signal respectively to obtain the spectrum using equipment violating the intelligent contract.
12. A federation chain-based radio spectrum interference forensic analysis method as defined in claim 11 wherein:
the intelligent contract is stored in each frequency spectrum acquisition node and each frequency spectrum management node;
the intelligent contract is stored with a lookup table, and the lookup table comprises the association relation between the type of the spectrum using equipment and the required spectrum and the required power range.
13. A federation chain-based radio spectrum interference forensic analysis method as defined in claim 12 in which:
the required frequency spectrum and the required power range in the query table are obtained by adopting a binary decision tree algorithm; wherein the content of the first and second substances,
the decision rules of the two classification decision trees are obtained based on expert experience;
the expert experience is the radio official authorization information and legal usage rules stored in the spectrum management node;
the radio official authorization information and the legal usage rules include the transmission power and spectrum of the licensed antenna.
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