CN108809450B - Distributed spectrum monitoring method - Google Patents
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- CN108809450B CN108809450B CN201810862704.8A CN201810862704A CN108809450B CN 108809450 B CN108809450 B CN 108809450B CN 201810862704 A CN201810862704 A CN 201810862704A CN 108809450 B CN108809450 B CN 108809450B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04B17/00—Monitoring; Testing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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Abstract
The invention provides a distributed spectrum collaborative monitoring system, which comprises a monitoring control center for issuing a monitoring task A and a plurality of monitoring receivers for collecting and returning spectrum data, wherein a monitoring processor is connected between the monitoring control center and the monitoring receivers and comprises a collaborative scheme making module and a data analysis processing module; the collaborative scheme making module makes a scheduling monitoring scheme B and a monitoring command C according to the requirements of the monitoring task A, and performs selection, grouping, labeling and synchronization according to the scheduling monitoring scheme B, and the monitoring receiver collects frequency spectrum data according to the monitoring command C; and the data analysis processing module receives and analyzes the frequency spectrum data returned by the monitoring receiver and returns the analyzed signal data to the monitoring control center. The invention also provides a frequency spectrum monitoring method based on the system. The frequency spectrum monitoring method has better scanning period, frequency spectrum resolution and receiving sensitivity.
Description
Technical Field
The invention relates to a frequency spectrum monitoring method, in particular to a distributed frequency spectrum monitoring method.
Background
The wireless spectrum is a non-renewable natural resource, is the basic support for wireless communications, and its total amount is limited, which also determines the development of the whole communication industry. The use of the wireless spectrum is affected by many factors, such as the propagation environment and interference between communication devices, so that the amount of the spectrum that is actually used is smaller.
The spectrum monitoring refers to a general term for detecting, searching, intercepting and monitoring electromagnetic environment and electromagnetic spectrum signals in a monitored region, and analyzing, identifying, monitoring and counting activities such as electromagnetic spectrum parameters and working characteristics of radio signals. The monitoring mainly comprises signal detection, searching and intercepting, display, signal spectrum parameter measurement, signal identification and the like. The spectrum monitoring is mainly carried out as follows. Firstly, for the spectrum monitoring of the electromagnetic environment, a basis can be provided for the division and allocation of frequency bands and the assignment of frequencies. Secondly, spectrum monitoring is a fundamental means for locating and investigating illegal unknown radio signals, and is helpful to maintain the order of radio waves in the air. Finally, spectrum monitoring helps to regulate legitimate radio users to operate on a given frequency and to conduct a given service.
At present, the radio spectrum monitoring is more and more difficult due to the use of more and more radio transmission devices, the used frequency range is wider, the channel capacity fluctuation is larger, and the time variability is stronger. This requires a receiver with a wider frequency range, a narrower narrow band and a wider bandwidth. In the face of various burst signals, a faster scanning speed and a shorter scanning period are required; in the face of various weak signals, stronger receiving sensitivity and more effective signal detection methods are required. In short, the requirements for real-time monitoring of the new generation of receivers and the like are increasingly high. Meanwhile, with the development of integrated circuits, receivers are also developing in the direction of miniaturization, digitization and functionalization.
In summary, for various reasons, the electromagnetic background is more and more complicated, which brings great difficulty to the monitoring of the signal. In the face of the constantly changing application environment and diversified monitoring tasks in actual work, the requirements on the receiver are higher and higher. Meanwhile, in order to meet the actual requirements of large-range, quick deployment and low power consumption of spectrum monitoring for application scenarios such as future battlefields, anti-terrorism disaster relief, overseas actions and the like in a complex electromagnetic environment, it is necessary to build a distributed intelligent spectrum monitoring network. The distributed frequency spectrum monitoring network has the characteristics of high monitoring precision, good system fault tolerance, remote monitoring and the like, and is an effective way for establishing an electromagnetic frequency spectrum monitoring network which is covered in all regions, seamless in all frequency domains, uninterrupted in all time periods and capable of working all weather.
Therefore, a wireless spectrum monitoring means is established and perfected, the wireless spectrum monitoring work is enhanced, and the method has important practical significance for effectively utilizing limited spectrum resources and implementing scientific spectrum management.
At present, the existing spectrum monitoring system mainly adopts a spectrum segmentation stepping search mode as shown in fig. 1, that is, a receiver searches according to parameters such as a start frequency, a stop frequency, a stepping frequency interval and the like of a preset search frequency band, the maximum stepping frequency interval (monitoring bandwidth) is usually the maximum processing bandwidth of the system, and typical values at present are 10MHz and 20 MHz. As shown in fig. 1, frequency band f will be scannedstart-fendThe range is divided into m sub-bands, followed byAnd respectively carrying out intermediate frequency signal processing on each sub-frequency band, then processing the frequency spectrum of each sub-frequency band, and splicing into final frequency spectrum scanning processing data.
The distributed spectrum monitoring method adopted by the existing spectrum monitoring system mainly has the following defects and shortcomings [ treble and bright ] signal capture and classification under a complex electromagnetic background [ D ]. liberty information engineering university, 2007 ] ]:
(1) the system cannot monitor all frequency bands simultaneously, a searching blind area exists, and important transient signals which occur outside the current scanning frequency band are easy to miss. For example, the current spectrum is scanning sub-band 1 while there is a signal in sub-band m at the moment, but when the receiver scans to sub-band m, the signal has disappeared and is not captured.
(2) In a complex electromagnetic background, a signal frequency search range is wide (generally reaching above GHz), but a certain contradiction exists between the wide frequency search range and high frequency resolution (low RBW) and search period. In a certain frequency searching range, if the number of FFT points is fixed, the searching period can be shortened by increasing the monitoring bandwidth, but the frequency resolution is reduced (the RBW analysis bandwidth is increased), so that the contradiction relationship between the searching period and the frequency resolution is difficult to coordinate.
(3) The search effect is also poor for monitoring the frequency band with large noise level fluctuation at the bottom of the channel and the weak signal. The weak signals mainly comprise two types, one type is that the energy of the signals is small, and the signals monitored by the receiver are very weak; the second is that the interference is too large, and the useful signal is mixed in a large amount of strong noise, and the main task is to suppress the noise interference so as to detect the useful weak signal from the interference. In any case, if the receiving sensitivity of the monitoring receiver is not high enough, the receiving and determining of the weak signal will be affected significantly.
In short, the existing monitoring method cannot simultaneously have a short scanning period, a high spectrum resolution and a good receiving sensitivity, i.e. it is difficult to simultaneously and effectively monitor instantaneous signals/burst signals/narrow-band dense signals/weak signals.
Disclosure of Invention
The invention aims to provide a novel intelligent distributed spectrum monitoring method, so that the performance indexes of a distributed spectrum cooperative monitoring system such as a scanning period, spectrum resolution, receiving sensitivity and the like are simultaneously met.
In order to achieve the above object, the present invention provides a distributed spectrum collaborative monitoring system, which includes a monitoring control center for issuing a monitoring task a and a plurality of monitoring receivers for collecting and returning spectrum data, wherein a monitoring processor is connected between the monitoring control center and the monitoring receivers, and the monitoring processor includes a collaborative scheme formulation module and a data analysis processing module; the collaborative scheme making module makes a scheduling monitoring scheme B and a plurality of monitoring commands C according to the requirements of the monitoring task A, and selects, groups, labels and synchronizes the monitoring receivers according to the scheduling monitoring scheme B, and the monitoring receivers acquire frequency spectrum data according to the monitoring commands C; and the data analysis processing module receives and analyzes the frequency spectrum data returned by the monitoring receiver and returns the analyzed signal data to the monitoring control center.
The monitoring processor further comprises a communication module, the collaborative scheme making module receives the monitoring task A and issues a monitoring command C through the communication module, and the data analysis processing module receives the frequency spectrum data returned by the monitoring receiver and returns the analyzed data through the communication module.
In another aspect, the present invention provides a distributed spectrum monitoring method, including: s1: providing a distributed spectrum collaborative monitoring system according to claim 1 or 2; s2: the monitoring control center generates and issues a monitoring task A according to the instruction of the user; s3: according to the requirement of the monitoring task A, a coordination scheme making module of the monitoring processor makes a scheduling monitoring scheme B and a monitoring command C; s4: the collaborative scheme making module selects, groups, labels and synchronizes a plurality of monitoring receivers according to the scheduling monitoring scheme B; s5: the monitoring receiver collects spectrum data according to the monitoring command C and transmits the spectrum data back to the data analysis processing module; s6: the data analysis processing module receives and analyzes the frequency spectrum data returned by the monitoring receiver, and simultaneously returns the analyzed signal data to the monitoring control center; s7: the monitoring control center stores and displays the received signal data; s8: the monitoring task A is finished; wherein, the scheduling monitoring scheme B includes: and selecting and setting a reference monitoring receiver, and scheduling a plurality of monitoring receivers and the reference monitoring receiver to cooperatively work in a first cooperation mode, a second cooperation mode and a third cooperation mode by the monitoring processor.
The first cooperation mode is a frequency division cooperation scanning mode, the second cooperation mode is a same-frequency cooperation splicing mode, and the third cooperation mode is a same-frequency synchronization combination mode.
The number of said monitoring receivers cooperating with the reference monitoring receiver in the first cooperation mode is m if TrIf the value is more than or equal to T, m is 0, otherwise,
wherein, TrThe shortest time required by the monitoring method to complete one full-band scanning is required for the monitoring task A, and the unit is s; t is the time length required by a single monitoring receiver to carry out full-band scanning, and the unit is s; the number of said monitoring receivers cooperating with the reference monitoring receiver in the second cooperation mode is l, if WrWhen the value is more than or equal to w, l is 0, otherwise,
wherein, WrThe frequency resolution of the monitoring method required for the monitoring task A is in Hz; w is the spectral resolution of the monitoring receiver, and the unit is Hz; the number of said monitoring receivers cooperating with the reference monitoring receiver in the third cooperation mode is p, if SrIf the value is more than or equal to s, p is 0, otherwise,
wherein S isrThe unit is dB for the requirement of the monitoring task A on the sensitivity of the monitoring method; s is the sensitivity of the monitoring receiver in dB。
The total number of the monitoring receivers is at least m + l + p + 1.
The monitoring command C comprises Cij，
Wherein C isijDenotes a monitoring command issued to a monitoring receiver denoted by ij, where ij denotes the jth monitoring receiver of the ith cooperation mode, i is 1,2,3, fijIndicating the start frequency of the sweep of the monitoring receiver, fij' denotes a lower limit of the scanning frequency in the monitoring task A, fij"indicates an upper limit of the scanning frequency in the monitoring task a.
The selection of the plurality of monitoring receivers is designated by the monitoring processor by generating a random number or by the monitoring processor according to the remaining power or the geographical location distribution of the monitoring receivers S4.
The grouping and the label number described in S4 are assigned randomly in a manner of generating random numbers or assigned according to the remaining power of the monitoring receiver.
The distributed spectrum cooperative monitoring system can avoid contradiction among the scanning period, the spectrum resolution and the receiving sensitivity through cooperative operation among the receivers, and in addition, the distributed spectrum monitoring method can meet different task requirements of the distributed spectrum cooperative monitoring system by flexibly scheduling the monitoring receivers in the distributed spectrum cooperative monitoring system to perform cooperative work. The scheduling monitoring receiver works in the first cooperation mode to help reduce the scanning period of the full frequency band, the scanning period of the full frequency band is reduced, and the capture probability of the instantaneous signals of the monitoring system can be effectively improved. The scheduling monitoring receivers work in the second cooperation mode, so that the cooperative monitoring of the monitoring receivers at the same frequency is time-domain continuous, a certain processing method can be adopted to splice the spectrum data, the spectrum resolution is improved and satisfied, and the monitoring and distinguishing of narrow-band dense signals can be better realized. Scheduling the monitoring receiver to operate in the third cooperation mode may reduce the signal-to-noise requirements of the system. In addition, the selection and grouping of the monitoring receivers can be determined according to the residual capacity of the receivers or can be specified in a mode of generating random numbers, so that tasks can be reasonably assigned according to the residual capacity, and the distributed spectrum cooperative monitoring system can work more durably.
Drawings
FIG. 1 is a schematic diagram of a prior art spectral segmentation scan pattern;
FIG. 2 is a system architecture diagram of a distributed spectrum collaborative monitoring system;
FIG. 3 is a schematic diagram of a monitoring processor of the distributed spectrum collaborative monitoring system shown in FIG. 2;
FIG. 4 is a flow chart of a distributed spectrum monitoring method;
fig. 5 is a schematic diagram of a first cooperation mode of a scheduled monitoring scheme of the distributed spectrum monitoring method as shown in fig. 4;
fig. 6 is a schematic diagram of a second cooperation mode of the scheduled monitoring scheme of the distributed spectrum monitoring method as shown in fig. 4.
Detailed Description
The following description of the preferred embodiments of the present invention, taken in conjunction with the accompanying drawings, will provide a better understanding of the function and features of the invention.
Fig. 2 shows the distributed spectrum collaborative monitoring system according to an embodiment of the present invention, which mainly includes a monitoring control center 1, a monitoring processor 2 and a plurality of monitoring receivers 3, which are connected in sequence, as shown in fig. 2. Assume that the monitoring network has Z monitoring receivers 3 deployed in common.
The monitoring control center 1 is used for issuing a monitoring task A and processing information.
The monitoring receiver 3 is distributed, mainly undertakes the acquisition of frequency spectrum data, and is configured to perform FFT change on the acquired time domain data to obtain frequency spectrum data, and transmits the frequency spectrum data back to the monitoring processor 2. The device has the advantages of small volume, low power consumption, low cost and easy deployment.
The above-mentionedThe monitoring receivers 3 all have a characteristic parameter Ri＝[f1,f2,fs,w,s]These parameters are characteristic of the receiver itself. Wherein f is1Lower limit of frequency sweep, f2For the upper limit of the frequency sweep, a frequency sweep range f-f is defined2-f1Can be widely understood as a frequency spectrum of 30Hz-3 GHz; f. ofsIn order to monitor the sampling rate (unit: Hz) of the receiver 3, currently the sampling rate in the receiver is generally not more than 20 MHz; w is the spectral resolution (unit: Hz) of the monitoring receiver 3, which may be several Hz to several khz; s is the sensitivity (unit: dB) of the receiver. Assuming a frequency sweep range f for all monitoring receivers1-f2Sampling rate fsThe number of FFT sampling points, the spectral resolution w and the sensitivity s are the same, and the number of sampling points is assumed to be N when the receiver performs spectral analysis FFTFFTThen the frequency interval of a single scan of the receiver is Δ f ═ fsThe sampling time Δ t is equal to NFFT·Ts＝NFFT/fsFrequency resolution w ═ fs/N FFT1/Δ t. The full-time scanning period of a single receiver is
In addition, the total number of the monitoring receivers 3 is Z, which can satisfy the number of receivers required by each monitoring task a, and the frequency scanning range of each monitoring receiver also covers the task requirement.
The monitoring processor 2 is disposed around the monitoring receiver and connected with the monitoring control center 1 by wireless communication or wired communication. As shown in fig. 3, the monitoring processor 2 is a gateway aggregation node with certain communication capability and processing capability, and includes a cooperation scheme making module 21, a data analysis processing module 22, and a communication module 23. The collaborative scheme making module 21 calculates and makes a scheduling monitoring scheme B and a monitoring command C according to the requirements of the monitoring task A, selects, groups, labels and synchronizes the monitoring receivers 3 according to the scheduling monitoring scheme B, and the monitoring receivers 3 acquire frequency spectrum data according to the monitoring command C; the communication module 23 is used for interacting signaling and data between the monitoring control center 1 and the monitoring receiver 3, the collaborative scheme making module 21 receives the monitoring task a and issues the monitoring command C through the communication module 23, and the data analysis processing module 22 receives the frequency spectrum data returned by the monitoring receiver 3 and returns the analyzed data through the communication module 23.
According to the distributed spectrum cooperative monitoring system, the invention provides a distributed spectrum monitoring method, which is used for rapidly providing regional electromagnetic spectrum information support for the military field and the civil field. As shown in fig. 4, the distributed spectrum monitoring method specifically includes:
s1: providing a distributed spectrum collaborative monitoring system according to the above;
s2: the monitoring control center 1 generates and issues a monitoring task A according to the instruction of the user;
wherein, the monitoring task A ═ Fstart,Fend,Tr,Wr,Sr]。FstartFor monitoring the starting frequency of the full scan band in task A, FendFor monitoring the termination frequency of the full scanning frequency band in the task A, the range of the monitoring frequency in the monitoring task A is defined as F ═ Fend-Fstart；TrThe shortest time (unit: s) T required for the monitoring method to complete one full-band scanning is required for the monitoring task ArCharacterized by the ability of the monitoring method to capture transient signals, bursty signals, TrThe smaller the signal is, the stronger the capability of the monitoring method for capturing transient signals/burst signals is; wrThe frequency resolution (unit: Hz), W, of the monitoring method required for monitoring task ArThe smaller the signal is, the higher the spectral resolution of the monitoring method is, and the stronger the identification capability of narrow-band dense signals is; srThe sensitivity requirement (unit: dB) of the monitoring method for monitoring task A characterizes the ability of the monitoring method to monitor weak signals, SrThe lower the value, the higher the sensitivity, and the stronger the ability of the monitoring method to identify weak signals.
S3: according to the requirement of the monitoring task a, the data analysis processing module 22 formulates a scheduling monitoring scheme B and a monitoring command C, and calculates the number of monitoring receivers 3 required by the scheduling monitoring scheme B.
Scheduling monitoring scheme B ═ m, l, p]Namely, the scheduling monitoring scheme B includes: the monitoring processor 2 selects and sets a reference monitoring receiver (namely #0 monitoring receiver 3), schedules m monitoring receivers 3 to cooperatively work with the reference monitoring receiver in a first cooperation mode, schedules l monitoring receivers 3 to cooperatively work with the reference monitoring receiver in a second cooperation mode, and schedules p monitoring receivers 3 to cooperatively work with the reference monitoring receiver in a third cooperation mode. Wherein the initial frequency of the scanning of the reference monitoring receiver is fixed as FstartAnd the scan range is F. Therefore, the total number of monitoring receivers 3 is at least m + l + p + 1.
Wherein:
the first cooperation mode is a frequency division cooperation scan mode. Fig. 5 shows a schematic diagram of cooperation of three monitoring receivers 3 in the frequency division cooperative scanning mode, and #0, #1, #2 show the scanning modes of the three monitoring receivers 3 respectively. Assuming that the total number of monitoring receivers 3 cooperating in the first cooperation mode is m +1, the first cooperation mode makes the scanning start frequencies of the monitoring receivers 3 spaced apart by F/(m +1) (unit: Hz) and the scanning range of each monitoring receiver 3 is F/(m +1), where F is the range of the monitoring frequencies in the monitoring task a. Under the cooperative scanning of the m monitoring receivers 3 and the reference receiver in the first cooperation mode, the scanning period of the full frequency band is reduced from T to T/m +1 (unit: Hz). In fig. 5, the reference receiver spectrum sweep starts at frequency FstartThe starting frequency of the spectrum scanning of the receiver # 1 is FstartThe starting frequency of the spectrum scanning of the receiver No. 2 + F/3 is Fstart+ 2F/3. Under the cooperative scanning of the 3 monitoring receivers 3, the scanning period of the full frequency band is reduced from T to T/3. The capture probability of the instantaneous signal of the monitoring system can be effectively improved by reducing the scanning period of the full frequency band.
The number m of the monitoring receivers 3 cooperating with the reference monitoring receiver 3 in the first cooperation mode may be determined according to the parameter T of the monitoring task ArThe specific requirements of (2) are calculated: if T isrIf the value is more than or equal to T, m is 0, otherwise,
wherein, T is a time length required for the single monitoring receiver 3 to perform full-band scanning, that is, a scanning period, and the unit is s;
representation pair T/TrAnd taking an integer upwards. The start frequency of the sweep of each monitoring receiver 3 is in turn spaced F/(m +1) (unit: Hz), and in particular the start frequency F of each monitoring receiver 31jComprises the following steps:
f1j＝Fstart+j·F/m+ 1，j∈[1,m]....(1)
f1j: scanning starting frequency of the jth monitoring receiver in the first cooperation mode, unit: hz; fstart: the lower limit of the monitoring frequency in the monitoring task a, that is, the starting frequency of the reference monitoring receiver, unit: hz; f: monitoring the frequency range in the task A; m: the number of monitoring receivers 3 cooperating with the reference monitoring receiver 3 in the first cooperation mode.
The second cooperation mode is a same-frequency cooperation splicing mode. As shown in fig. 6, which is a schematic view of cooperation of two monitoring receivers 3 in the same-frequency cooperative splicing mode, assuming that the total number of the monitoring receivers 3 cooperating in the second cooperative mode is l, the same-frequency cooperative splicing mode makes the scanning start frequency intervals F of the monitoring receivers 3s(i.e. f)s) And each monitoring receiver 3 has a scanning range of F, wherein FsTo monitor the sampling rate (in Hz) of the receiver 3, F is the range of the monitoring frequency in monitoring task a. This makes the cooperative monitoring of multiple monitoring receivers 3 at the same frequency continuous in time domain, and then such spectrum data can be processed by splicing according to a certain processing method, such as FFT result X of each receiver at the same frequencyi[k]IFFT is carried out to obtain xi(n), then adding l +1 groups xi(N) combining the points to obtain points (l + 1). NFFTThe FFT of (2). And the analysis window length delta t after the collaborative splicing is (l +1) · delta t, and the spectrum resolution after the splicing is w' ═ l +1) · w. As shown in FIG. 6, monitor processor 2 may monitor receiver # 1 for receiver # 3 and #And carrying out splicing analysis on the same-frequency processing data of the No. 4 monitoring receiver 3. Furthermore, in the cooperative working mode of the monitoring receiver 3 and the reference monitoring receiver 3, the spectrum resolution of the distributed spectrum cooperative monitoring system is improved and satisfied, and the monitoring and distinguishing of narrow-band dense signals can be better realized.
The number l of monitoring receivers 3 cooperating with the reference monitoring receiver 3 in the second cooperation mode may be dependent on the parameter W of the monitoring task ArThe specific requirements of (2) are calculated: if W isrIf the value is more than or equal to w, l is equal to 0, which means that the co-frequency co-splicing is not required to be performed in cooperation with other monitoring receivers 3, otherwise,
where w is the spectral resolution (in Hz) of the monitoring receiver 3. Let the scanning start frequency interval F of the monitoring receiver 3sIn particular, the starting frequency f of each receiver2jComprises the following steps:
f2j＝Fstart+j·Fs，j∈[1,l]
f2j: scanning start frequency of the jth monitoring receiver 3 in the second cooperation mode, unit: hz; fstart: the lower limit of the monitoring frequency in the monitoring task a, that is, the starting frequency of the reference monitoring receiver 3, unit: hz; fs: the sampling rate of the monitoring receiver 3, i.e. the frequency range for which the monitoring receiver 3 performs a single scan, unit: hz.
The third cooperation mode is a same-frequency synchronous combination mode, that is, a plurality of monitoring receivers 3 simultaneously perform synchronous same-frequency monitoring, the scanning start frequency interval of the monitoring receivers 3 is 0, and the scanning range of each monitoring receiver 3 is F, where F is the range of the monitoring frequency in the monitoring task a. According to the sensitivity calculation formula S ═ 114dB +10lgBn+10lgF0+ SNR, it is known that the receiver sensitivity and noise figure F0Receiver bandwidth BnAnd the minimum signal-to-noise ratio SNR required for monitoring task a. The noise figure and bandwidth of the receiver are already determined, so that the improvement of the sensitivity of the system is mainly to reduce the signal-to-noise ratio requirement of the system.
According to the characteristics of no correlation between independent samples of the same signal in the wireless propagation environment, and assuming that the signal-to-noise ratio output by each receiver is equal, we can use the maximum ratio combining criterion, and the combining gain is proportional to the number p +1 of the synchronous monitoring receivers 3 in the third cooperation mode. Therefore, the signal-to-noise ratio requirement of the system can be reduced by 3dB for each additional synchronous receiver.
The number p of monitoring receivers 3 cooperating with the reference monitoring receiver 3 in the third cooperation mode may be dependent on the parameter S of the monitoring task ArThe specific requirements of (2) are calculated: if S isrAnd is greater than or equal to s, namely the sensitivity of the monitoring receiver 3 meets the requirement of the monitoring task, p is equal to 0, otherwise,
s is the sensitivity (unit: dB) of the monitoring receiver 3. Let the starting frequencies of the scanning of the p monitoring receivers 3 all be FstartBy means of synchronous cooperative monitoring of the p monitoring receivers 3 and the reference monitoring receiver 3, the receiving sensitivity of the system is met and improved, and monitoring and identification of weak signals are achieved better.
S4: the collaborative scheme making module 21 selects, groups, labels and synchronizes the monitoring receivers 3 according to the scheduling monitoring scheme B. Wherein, the selection of the plurality of monitoring receivers 3 may be specified by the monitoring processor 2 by generating random numbers, or specified by the monitoring processor 2 according to the remaining power or the geographical location distribution of the monitoring receivers 3; the grouping and labeling may be randomly assigned by generating random numbers, or assigned according to the remaining power of the monitoring receiver 3 (if the reference power is used, the receiver may feed back the remaining power to the processor, and then the processor performs grouping and assigning according to the power), and so on. The synchronization of the receiver can adopt GPS synchronization, or the monitoring processor sends a synchronization instruction through a broadcast frequency band.
S5: and the synchronous monitoring receiver 3 collects the spectrum data according to the monitoring command C and transmits the spectrum data back to the data analysis processing module 22.
The monitoring command C comprises CijOr C0，
Wherein, CijIndicating a monitoring command issued to a receiver denoted by ij, Cij＝[fij,fij′,fij″]，
Where i denotes the cooperation mode, i is 1,2,3, ij denotes the jth receiver with the cooperation mode i, and fijIndicating the start frequency of the sweep of the monitoring receiver 3, fij' denotes a lower limit of the scanning frequency in the monitoring task A, fij"indicates an upper limit of the scanning frequency in the monitoring task a.
C0For monitoring commands to the reference receiver, C0＝[Fstart，Fstart，Fend]。
S6: the data analysis processing module 22 receives and analyzes the spectrum data returned by the monitoring receiver 3, and the analyzed signal data is returned to the monitoring control center 1 according to a certain time interval.
S7: the monitoring control center 1 stores and displays the received signal data and simultaneously judges whether the monitoring task A is finished.
S8: and the monitoring task A is finished, and the monitoring control center 1 issues a monitoring finishing instruction.
Results of the experiment
The parameter assumptions are: monitor task a ═ 100MHz,200MHz,0.5s,2Hz, -99dB]The conventional parameter R of the monitoring receiver 3 is [30MHz,3000MHz,10 Hz, -90dB ═]Then the full-band scanning time of the single monitoring receiver 3 is calculated
Following the calculation procedure of monitoring method B above, B ═ 1,4,2 is obtained]That means: the monitoring processor selects and sets one monitoring receiver 3 as a reference monitoring receiver, schedules 1 monitoring receiver 3 to cooperate with the reference monitoring receiver in the first cooperation mode,and scheduling 4 monitoring receivers 3 to cooperate with the reference monitoring receiver in the second cooperation mode, and scheduling 2 monitoring receivers 3 to cooperate with the reference monitoring receiver in the third cooperation mode.
After the scheduling monitoring scheme B is formulated, the cooperation scheme formulation module 21 of the monitoring processor 2 selects and groups, labels and synchronizes the monitoring receivers 3. Then sends a monitoring command C to the monitoring receiver 3ij＝[fij,fij′,fij″]I is 1,2,3, and in particular, the following monitoring commands to the monitoring receiver 3 are derived according to the scheme:
C0＝[100MHz,100MHz,200MHz]
C11＝[150MHz,100MHz,200MHz]
C21＝[110MHz,100MHz,200MHz]
C22＝[120MHz,100MHz,200MHz]
C23＝[120MHz,100MHz,200MHz]
C24＝[120MHz,100MHz,200MHz]
C31＝C32＝C0＝[100MHz,100MHz,200MHz]
and the monitoring receiver 3 starts to execute the monitoring command after receiving the monitoring command, and transmits the spectrum data back to the monitoring processor on time, the processor performs different splicing processing on the spectrum data according to different cooperation modes, and then transmits the processed spectrum data back to the monitoring center.
The above embodiments are merely preferred embodiments of the present invention, which are not intended to limit the scope of the present invention, and various changes may be made in the above embodiments of the present invention. All simple and equivalent changes and modifications made according to the claims and the content of the specification of the present application fall within the scope of the claims of the present patent application. The invention has not been described in detail in order to avoid obscuring the invention.
Claims (8)
1. A method of distributed spectrum monitoring, comprising:
s1: providing a distributed spectrum cooperative monitoring system; the distributed spectrum collaborative monitoring system comprises a monitoring control center (1) for issuing a monitoring task A and a plurality of monitoring receivers (3) for collecting and returning spectrum data, wherein a monitoring processor (2) is connected between the monitoring control center (1) and the monitoring receivers (3), and the monitoring processor (2) comprises a collaborative scheme making module (21) and a data analysis processing module (22);
s2: the monitoring control center (1) generates and issues a monitoring task A according to the instruction of a user;
s3: according to the requirement of the monitoring task A, a coordination scheme making module (21) of the monitoring processor (2) makes a scheduling monitoring scheme B and a monitoring command C;
s4: a coordination scheme making module (21) selects, groups, labels and synchronizes a plurality of monitoring receivers (3) according to the scheduling monitoring scheme B;
s5: the monitoring receiver (3) collects spectrum data according to the monitoring command C and transmits the spectrum data back to the data analysis processing module (22);
s6: the data analysis processing module (22) receives and analyzes the frequency spectrum data returned by the monitoring receiver (3), and simultaneously returns the analyzed signal data to the monitoring control center (1);
s7: the monitoring control center (1) stores and displays the received signal data;
s8: the monitoring task A is finished;
wherein, the scheduling monitoring scheme B includes: and a reference monitoring receiver is selected and set, and the monitoring processor (2) schedules a plurality of monitoring receivers (3) to work together with the reference monitoring receiver in a first cooperation mode, a second cooperation mode and a third cooperation mode.
2. The distributed spectrum monitoring method according to claim 1, wherein the monitoring processor (2) further comprises a communication module (23), the collaborative scheme making module (21) receives the monitoring task a and issues the monitoring command C through the communication module (23), and the data analysis processing module (22) receives the spectrum data returned by the monitoring receiver (3) and returns the analyzed signal data through the communication module (23).
3. The distributed spectrum monitoring method according to claim 1, wherein the first cooperation mode is a frequency division cooperation scanning mode, the second cooperation mode is a same-frequency cooperation splicing mode, and the third cooperation mode is a same-frequency synchronization combining mode.
4. A distributed spectrum monitoring method according to claim 3, wherein the number of monitoring receivers (3) cooperating with a reference monitoring receiver in the first cooperation mode is m, if TrIf the value is more than or equal to T, m is 0, otherwise,
wherein, TrThe shortest time required by the monitoring method to complete one full-band scanning is required for the monitoring task A, and the unit is s; t is the time length required by a single monitoring receiver (3) to carry out full-band scanning, and the unit is s;
representation pair T/TrFetching an integer upwards;
the number of said monitoring receivers (3) cooperating with the reference monitoring receiver in the second cooperation mode is/if WrWhen the value is more than or equal to w, l is 0, otherwise,
wherein, WrThe frequency resolution of the monitoring method required for the monitoring task A is in Hz; w is the spectral resolution of the monitoring receiver (3) in Hz;
the number of said monitoring receivers (3) cooperating with the reference monitoring receiver (3) in the third cooperation mode is p, if SrIf the value is more than or equal to s, p is 0, otherwise,
wherein S isrFor monitoring task A to monitor partyThe sensitivity requirement of the method, in dB; s is the sensitivity of the monitoring receiver (3) in dB.
5. The distributed spectrum monitoring method according to claim 4, wherein the total number of monitoring receivers (3) is at least m + l + p + 1.
6. The distributed spectrum monitoring method of claim 4, wherein the monitor command C comprises Cij，
Cij＝[fij,fij′,fij″]，
fij′＝Fstart，fij″＝Fend；
Wherein C isijDenotes a monitoring command issued to a monitoring receiver (3) denoted by ij, where ij denotes the jth monitoring receiver (3) of the ith cooperation mode, i is 1,2,3, fijIndicating the start frequency of the sweep of the monitoring receiver (3), fij' denotes a lower limit of the scanning frequency in the monitoring task A, fij"indicates the upper limit of the scanning frequency in the monitoring task A, FstartFor monitoring the starting frequency of the full scan band in task A, FendThe termination frequency of the full scanning frequency band in the monitoring task A is monitored, and F is the range of the monitoring frequency in the monitoring task A; fsTo monitor the sampling rate of the receiver (3).
7. The distributed spectrum monitoring method of claim 1, wherein the selection of the plurality of monitoring receivers (3) is specified by the monitoring processor (2) by generating a random number, or by the monitoring processor (2) according to the remaining capacity or geographical location distribution of the monitoring receivers (3) S4.
8. The distributed spectrum monitoring method of claim 1, wherein the grouping and the labels of S4 are assigned randomly or according to the remaining power of the monitoring receiver (3) by generating random numbers.
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| CN109946526B (en) * | 2019-02-25 | 2021-12-28 | 天津大学 | Complex electromagnetic environment detection network fusing Internet of things and cloud platform and detection method thereof |
| CN110146837A (en) * | 2019-03-22 | 2019-08-20 | 一诺仪器（中国）有限公司 | Frequency point list generation method, system and device |
| CN110996337A (en) * | 2019-03-29 | 2020-04-10 | 国家无线电监测中心检测中心 | Radio monitoring method supporting mobile monitoring station |
| CN111565077B (en) * | 2020-04-08 | 2021-06-15 | 南京航空航天大学 | Distributed intelligent spectrum monitoring system and method |
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