CN109639376B - Frequency spectrum scanning method of electric power wireless private network system - Google Patents
Frequency spectrum scanning method of electric power wireless private network system Download PDFInfo
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- CN109639376B CN109639376B CN201811446870.6A CN201811446870A CN109639376B CN 109639376 B CN109639376 B CN 109639376B CN 201811446870 A CN201811446870 A CN 201811446870A CN 109639376 B CN109639376 B CN 109639376B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04B17/00—Monitoring; Testing
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- H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/345—Interference values
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Abstract
The invention provides a frequency spectrum scanning method of a power wireless private network system, which comprises the following steps: determining a sweep frequency time slot in a frame structure, and performing frequency spectrum scanning in the sweep frequency time slot; dividing a scanning frequency band to be scanned into a plurality of sub-bands; extracting data by taking the extraction factor as an interval, and extracting sub-band signals of which the interference condition is not determined in a scanning frequency band; carrying out fast Fourier transform on the extracted signal, acquiring an energy value of the signal according to the obtained frequency spectrum signal, and determining the interference condition of the frequency point of the sub-band according to the judgment result of the energy value; repeating the steps until the frequency spectrum scanning is complete; and splicing the interference situation of each frequency point of the whole system, and reporting the situation. The frequency spectrum scanning method of the electric power wireless private network system can reduce the influence of frequency spectrum scanning on the communication quality of a user and the throughput of the electric power wireless private network system, avoid the mutual interference of all frequency points, and reduce the requirement of signal sampling rate and the calculation complexity while quickly sensing the frequency interference condition.
Description
Technical Field
The invention belongs to the technical field of wireless communication, and particularly relates to a frequency spectrum scanning method of a power wireless private network system.
Background
The electric power wireless private network carries out communication based on a 230MHz special frequency band distributed by the national radio administration committee, frequency points of the electric power wireless private network are discretely distributed in total 12MHz bandwidth from 223MHz to 235MHz, each frequency point has 25KHz bandwidth, and in addition, 360 frequency points (total 9MHz bandwidth) in the frequency band range are examined and approved by radio administration departments in various cities and need to be applied for use. With the application and popularization of the wireless private power network, the 230MHz frequency band spectrum may have the situation that the wireless private power network 230, the 230MHz data transmission radio station, and other high-power radio stations coexist. In order to ensure that the electric power wireless private network system stably operates on a 230MHz frequency band, a frequency spectrum sensing technology is adopted, frequency use and interference conditions in a 230MHz frequency spectrum range are adopted, the interference level of each frequency sub-band is effectively evaluated, avoidance is needed in time when the frequency point is used and the interference is large, the sub-band without interference or with small interference is dynamically selected, the communication quality is optimized, and the interference between the wireless private network system and a different system is reduced, so that the stable operation of the system is ensured.
The existing spectrum sensing technology generally adopts algorithms such as energy detection and cyclostationary feature, or adopts a spectrum scanning technology to detect.
However, the existing energy detection algorithm is constrained by environmental noise and a threshold, so that the received signal is inaccurate due to the influence of noise and interference; the cyclostationary feature algorithm utilizes signal spectrum correlation features, resulting in high computational complexity and requiring authorization for signal spectrum correlation features. The existing spectrum scanning technology is mainly optimized for a spectrum scanning detection algorithm, corresponding spectrum sensing time slots are not defined in a time division multiplexing frame structure of a wireless power private network, in addition, real-time calculation needs to be carried out for radio frequency bandwidth and frequency bands deployed by a system, and the required real-time calculation bandwidth is very wide, so that the calculation is complex.
The chinese patent (patent number: CN101895895B) of the beijing post and telecommunications university proposes a hierarchical spectrum sensing method and device in a cognitive wireless network, wherein the proposed hierarchical spectrum sensing method utilizes a special subframe time slot for uplink and downlink conversion in a time-division system frame structure to perform low-level spectrum sensing. However, the patent is only directed to a hierarchical spectrum sensing method in a cognitive wireless network, and does not improve the complexity of spectrum occupation calculation.
Disclosure of Invention
The invention aims to provide a frequency spectrum scanning method of a power wireless private network system, which is used for rapidly sensing the frequency interference condition and reducing the calculation complexity.
In order to achieve the above object, the present invention provides a spectrum scanning method for a power wireless private network system, including:
s1: in a power wireless private network system with a receiver, determining a sweep frequency time slot in a frame structure by adopting the receiver, and carrying out frequency spectrum scanning in the sweep frequency time slot to obtain intermediate frequency sampling data;
s2: dividing a scanning frequency band to be scanned into a plurality of sub-bands;
s3: extracting the intermediate frequency sampling data in the step S1 at intervals of an extraction factor M, and extracting sub-band signals of sub-bands of which interference conditions are not determined yet in the scanning frequency band in the step S2;
s4: performing fast fourier transform on the sub-band signal extracted in step S3 to obtain a frequency spectrum signal thereof;
s5: acquiring the energy value of the corresponding sub-band signal according to the frequency spectrum signal obtained in the step S4, judging whether the energy value of the sub-band signal is greater than a preset threshold value, and determining the interference condition of the frequency point of the sub-band according to the judgment result;
s6: repeating the steps S3-S5 until the spectrum scan is complete;
s7: and splicing the interference situation of each frequency point of the whole power wireless private network system according to the interference situation of each sub-band, and reporting the situation to a base station or frequency spectrum coordination equipment of the power wireless private network system.
The receiver is arranged in a base station, a terminal or a special frequency spectrum scanning device of the electric power wireless private network system.
The power wireless private network system further comprises a timer, wherein the scanning time slot is determined according to the timer, and the timer carries out timing synchronization according to a receiving signal of a receiver or through a high-precision clock.
The frame structure is a time division multiplexing frame structure or a frequency division multiplexing frame structure.
And the sweep frequency time slot is fixed at the beginning of the uplink time slot, the downlink time slot or the special time slot of the time division multiplexing frame structure or the frequency division multiplexing frame structure.
The scanning frequency band in the step S2 is 223-.
The bandwidth BW of the scanning band in step S2 is 12MHz, 7MHz, 5MHz, 3MHz, 2MHz, or 1MHz, and the bandwidth B of the divided sub-band is 3.125KHz, 6.25KHz, 12.5KHz, or 25 KHz.
The decimation of the intermediate frequency sampling data in the step S3 is performed in a parallel or serial manner.
The decimation factor M is: Fs/2B, where Fs is a sampling frequency of the spectrum sweep in the step S1 and has a unit of KHz; b is the bandwidth of the extracted subband in KHz.
The extraction in step S3 may be performed in a baseband processing device, which includes an FPGA, a DSP, or a GPU.
The energy value of the sub-band signal in the step S5 is obtained according to the arithmetic average of the energies of the frequency domain signals of the sub-band signal, and the predetermined threshold in the step S5 is a white noise signal energy value.
The frequency spectrum scanning method of the electric power wireless private network system can reduce the influence of frequency spectrum scanning on the communication quality of a user and the throughput of the electric power wireless private network system by carrying out frequency spectrum sensing on the sweep frequency time slot of a time division multiplexing frame structure or a frequency division multiplexing frame structure through the receiver, can increase the sampling times as far as possible on the premise of not influencing the communication quality, further can obtain a sampling sub-band signal with a bandwidth smaller than that of the conventional frequency spectrum scanning technology by carrying out undersampling extraction on intermediate frequency sampling data, realizes frequency spectrum scanning based on the small bandwidth, can avoid mutual interference of various frequency points, and reduces the signal sampling rate requirement, reduces the calculation complexity and reduces the system power consumption while quickly sensing the frequency interference condition.
Drawings
Fig. 1 is a schematic diagram of an applicable scenario of a spectrum scanning method of a power wireless private network system according to an embodiment of the present invention;
fig. 2 is a flowchart of a spectrum scanning method of a power wireless private network system according to one embodiment of the present invention;
fig. 3 is a schematic diagram of a frame structure of a spectrum scanning method and a position relationship of a spectrum scanning time slot of the power wireless private network system shown in fig. 2;
fig. 4 is a schematic diagram of spectrum sub-band division of the spectrum scanning method of the power wireless private network system shown in fig. 2.
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. 1 shows a scenario in which a spectrum scanning method of a power wireless private network system according to a preferred embodiment of the present invention is applied. The electric power wireless private network system comprises a base station 1 and a terminal 2, wherein both the base station 1 and the terminal 2 are provided with receivers. The power wireless private network system may further comprise a dedicated spectrum scanning device 3 provided with a receiver. The receiver comprises an antenna, a mixer, an ADC and a baseband processing device which are connected in sequence, wherein the receiver receives radio-frequency signals through the antenna, then down-converts the radio-frequency signals to intermediate frequency through the mixer, samples and digitizes the received signals through the ADC at the intermediate frequency to obtain intermediate-frequency sampling data, and then converts the intermediate-frequency signals to baseband frequency through the baseband processing device. The baseband processing device comprises an FPGA or a DSP or a GPU.
The spectrum scanning method of the power wireless private network system provided by the invention is shown in fig. 2 and comprises the following steps:
step S1: in a power wireless private network system with a receiver and a timer, determining a sweep frequency time slot in a frame structure by adopting the receiver according to the timer, and carrying out frequency spectrum scanning in the sweep frequency time slot of the frame structure by using a sampling frequency Fs to obtain intermediate frequency sampling data;
the receiver may be disposed in the base station 1, the terminal 2, or the dedicated spectrum scanning device 3 of the power wireless private network system, so that the spectrum scanning may be performed at the base station, or may be performed at the terminal or the dedicated spectrum scanning device. The timer may perform timing synchronization based on a received signal of the receiver or by using a high-precision clock, such as a GNSS clock, so that the start and end times of the sweep time slot can be determined according to the synchronized timer.
The frame structure is a time division multiplexing frame structure or a frequency division multiplexing frame structure; the sweep frequency time slot is predefined by the electric power wireless private network system, and is generally fixed at a certain position of a frame structure, and the position of the sweep frequency time slot is as shown in fig. 3, and can be fixed at a predefined position in a time division multiplexing frame structure or a frequency division multiplexing frame structure, such as the start of an uplink time slot, a downlink time slot, a special time slot or other preset positions. Usually, one swept frequency time slot is set in each frame structure, and a plurality of swept frequency time slots can be set according to needs.
Step S2: as shown in fig. 4, the scanning frequency band to be scanned is divided into a plurality of sub-bands;
the scanning frequency band is given according to needs, and is generally a possible frequency band for deployment of the power wireless private network system, for example 223-. The bandwidth BW of the scanned band may be defined as 12MHz, 7MHz, 5MHz, 3MHz, 2MHz, 1MHz, or other preset values. Further, the bandwidth B of a sub-band may be defined as 3.125KHz, 6.25KHz, 12.5KHz, 25KHz, or other preset values.
Step S3: extracting the intermediate frequency sampling data in the step S1 at intervals of an extraction factor M, and extracting sub-band signals of sub-bands of which interference conditions are not determined yet in the scanning frequency band in the step S2;
wherein the decimation may be performed in a baseband processing device of the receiver, the baseband processing device comprising an FPGA, a DSP, or a GPU.
The decimation factor M may be calculated according to the sampling frequency Fs:
M＝Fs/2B，
wherein Fs is a sampling frequency of the spectrum scanning in the step S1, and is represented by KHz; b is the bandwidth of the sub-band extracted in step S3, and the unit is KHz.
In this embodiment, the extraction of the intermediate frequency sampling data may be performed in a serial manner, that is, only one sub-band signal of a sub-band with a bandwidth of B is extracted at a time; in addition, the extraction of the intermediate frequency sampling data can also be performed in a parallel manner, that is, sub-band signals of BW/B sub-bands with the bandwidth of B are extracted at a time.
Step S4: performing fast fourier transform on the sub-band signal extracted in step S3 to obtain a frequency spectrum signal thereof;
step S5: and acquiring the energy value of the corresponding sub-band signal according to the frequency spectrum signal obtained in the step S4, determining whether the energy value of the sub-band signal is greater than a predetermined threshold, determining the interference condition of the frequency point where the sub-band is located according to the determination result, and if the energy value of the sub-band signal is determined to be greater than the predetermined threshold, then the frequency point where the sub-band is located has signal interference.
Wherein, the energy value of the sub-band signal can be obtained according to the arithmetic mean of the energy of the frequency domain signal of the sub-band signal; the predetermined threshold may be set to a white noise signal energy value; the signal interference may be a signal of the present system or signal interference of an alien system.
Step S6: and repeating the steps S3-S5 until the spectrum scanning is complete, namely all the sub-bands of the scanning frequency band to be scanned by the electric power wireless private network system are the sub-bands with the determined interference situation. Therefore, the scanning frequency bands needing to be scanned by the electric power wireless private network system can be ensured to have frequency scanning without omission.
Step S7: and splicing the interference situation of each frequency point of the whole power wireless private network system according to the interference situation of each sub-band, and reporting the situation to a base station or frequency spectrum coordination equipment of the power wireless private network system.
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 frequency spectrum scanning method of a power wireless private network system is characterized by comprising the following steps:
step S1: in a power wireless private network system with a receiver and a timer, determining a sweep frequency time slot in a frame structure by adopting the receiver according to the timer, and carrying out frequency spectrum scanning in the sweep frequency time slot to obtain intermediate frequency sampling data; the frame structure is a time division multiplexing frame structure or a frequency division multiplexing frame structure, and a plurality of sweep frequency time slots are arranged in each frame structure; the sweep frequency time slot is fixed at the beginning of the uplink time slot or the downlink time slot of the time division multiplexing frame structure or the frequency division multiplexing frame structure; the timer carries out timing synchronization through a high-precision clock, and the high-precision clock comprises a GNSS clock, so that the starting time and the ending time of the sweep frequency time slot can be determined according to the synchronized timer;
step S2: dividing a scanning frequency band to be scanned into a plurality of sub-bands;
step S3: extracting the intermediate frequency sampling data in the step S1 at intervals of an extraction factor M, and extracting sub-band signals of sub-bands of which interference conditions are not determined yet in the scanning frequency band in the step S2;
step S4: performing fast fourier transform on the sub-band signal extracted in step S3 to obtain a frequency spectrum signal thereof;
step S5: acquiring the energy value of the corresponding sub-band signal according to the frequency spectrum signal obtained in the step S4, judging whether the energy value of the sub-band signal is greater than a preset threshold value, and determining the interference condition of the frequency point of the sub-band according to the judgment result;
step S6: repeating the steps S3-S5 until the spectrum scan is complete;
step S7: splicing the interference situation of each frequency point of the whole power wireless private network system according to the interference situation of each sub-band, and reporting the situation to a base station or frequency spectrum coordination equipment of the power wireless private network system; the decimation factor M is:
M=Fs/2B，
wherein Fs is a sampling frequency of the spectrum scanning in the step S1, and is represented by KHz; b is the bandwidth of the sub-band extracted in step S3, and the unit is KHz;
the energy value of the sub-band signal in the step S5 is obtained from the arithmetic average of the energies of the frequency domain signals of the sub-band signal; the predetermined threshold in the step S5 is a white noise signal energy value.
2. The spectrum scanning method of the power wireless private network system according to claim 1, wherein the receiver is provided in a base station, a terminal or a dedicated spectrum scanning device of the power wireless private network system.
3. The method for scanning the frequency spectrum of the power wireless private network system according to claim 1, wherein the power wireless private network system further comprises a timer, the swept frequency time slot is determined according to the timer, and the timer is synchronized in timing according to a received signal of a receiver or by a high-precision clock.
4. The method as claimed in claim 1, wherein the scanning frequency band in step S2 is 223-226 MHz or 229-233 MHz.
5. The method for scanning spectrum of the power wireless private network system according to claim 1, wherein the bandwidth BW of the scanned band in step S2 is 12MHz, 7MHz, 5MHz, 3MHz, 2MHz or 1MHz, and the bandwidth B of the divided sub-band is 3.125KHz, 6.25KHz, 12.5KHz or 25 KHz.
6. The method for scanning spectrum of the wireless private network system according to claim 1, wherein the step S3 of decimating the intermediate frequency sampled data is performed in a parallel or serial manner.
7. The method for scanning spectrum of the wireless private network system according to claim 1, wherein the decimation in the step S3 is performed in a baseband processing device of the receiver.
8. The method for scanning the frequency spectrum of the power wireless private network system according to claim 7, wherein the baseband processing device comprises an FPGA, a DSP or a GPU.
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| CN101895895B (en) * | 2010-08-03 | 2014-07-02 | 北京邮电大学 | Method and device for sensing graded frequency spectra in cognitive radio network |
| CN105516032B (en) * | 2014-09-23 | 2018-11-16 | 华为技术有限公司 | Adaptive narrow-band interference elimination method and device |
| CN108882379A (en) * | 2018-05-29 | 2018-11-23 | 北京科东电力控制系统有限责任公司 | Electric power wireless private network uplink scheduling method and device |
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| CN103141067A (en) * | 2010-08-30 | 2013-06-05 | 新加坡科技研究局 | A method, apparatus and computer program product for identifying frequency bands, and a method, apparatus and computer program product for evaluating performance |
| CN103733529A (en) * | 2011-07-05 | 2014-04-16 | 索尼公司 | Power line communication modem, power line communication system and power line communication method |
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