CN106100776A - Frequency spectrum sensing method based on wireless station grid monitoring system - Google Patents

Frequency spectrum sensing method based on wireless station grid monitoring system Download PDF

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Publication number
CN106100776A
CN106100776A CN201610762960.0A CN201610762960A CN106100776A CN 106100776 A CN106100776 A CN 106100776A CN 201610762960 A CN201610762960 A CN 201610762960A CN 106100776 A CN106100776 A CN 106100776A
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node
data
frequency spectrum
monitoring system
method based
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CN106100776B (en
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宁涛
银琪
丁宝玉
李彤
亓军顺
陈宏�
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Chengdu Jiuhua Yuantong Technology Development Co Ltd
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Chengdu Jiuhua Yuantong Technology Development Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/382Monitoring; Testing of propagation channels for resource allocation, admission control or handover
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • H04B17/336Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Monitoring And Testing Of Transmission In General (AREA)

Abstract

The invention discloses a kind of frequency spectrum sensing method based on wireless station Grid Monitoring System, it comprises the following steps: to the data of local testing result, monitoring station is carried out spectral characteristic mark according to local less radio-frequency environment as single node;Then the frequency data of single node perception are passed through transmission channel to gridding control centre;Gridding control centre is carried out centralized collaborative perception as data fusion node to single-node data, and makes comprehensive judgement.The present invention uses single node perception at monitoring station, and this locality sensing results is delivered to the unification of gridding control centre and carried out the warm process of data by each sensing node.Reach the detection threshold of system requirements by the cooperation between detection node, thus reduce monitoring system to the requirement of single detection node and the burden of single detection node, effectively eliminate the impact of shadow effect.

Description

Frequency spectrum sensing method based on wireless station Grid Monitoring System
Technical field
The present invention relates to wireless station monitoring technical field, a kind of frequency based on wireless station Grid Monitoring System Spectrum cognitive method.
Background technology
Frequency spectrum perception technology is basis and the premise of gridding monitoring application, and existing frequency spectrum perception technology can be divided into list Node perceived and coordination perception, wherein single node perception refers to that individual node carries out frequency spectrum spy according to local less radio-frequency environment Property mark;Collaborative perception is then by data fusion, after data are carried out relevant treatment by sensing results based on multiple nodes Comprehensive judgement.Single node cognition technology includes the detection of matched filtering device, energy measuring, cyclostationary characteristic detection and covariance Matrix detects 4 kinds, wherein energy detection algorithm, and its cardinal principle is in special frequency channel, receives in measuring certain section of observation time The gross energy of signal, then compares with a certain setting thresholding and adjudicates whether main signal exists.Owing to this algorithm complex is relatively low, Implement simple, without the need for any prior information, be the most general perception algorithm.And matched filtering device detection algorithm, be Know the optimum detection algorithm in the case of primary user's signal prior information (such as modulation type, shaping pulse, frame format).This algorithm Advantage be to make detection signal-to-noise ratio maximize, same performance limit under few compared with the sampled point number needed for energy measuring, Therefore the time is processed shorter.Cyclostationary characteristic detection algorithm, its principle is by analyzing Cyclic Autocorrelation Function or two dimension The method of frequency spectrum correlation function obtains signal spectrum ASSOCIATE STATISTICS characteristic, utilizes its periodicity presented to distinguish main signal and to make an uproar Sound.This algorithm still has under the lowest signal to noise ratio and well detects performance, and for the unique statistics of various signal types Feature is circulated analysis of spectrum, can overcome malicious interference signal, is greatly improved performance and the efficiency of detection.Covariance matrix is examined Method of determining and calculating, utilizes the dependency of main signal to set up sample of signal covariance matrix, and to calculate matrix maximum, minimal eigenvalue ratio The method of rate makes judgement.
Frequency spectrum perception can detect the signal to noise ratio (SNR) authorization user signal more than a certain threshold value exactly, generally The threshold value of this SNR is the lowest, for single node perception, will reach this requirement and be not easy to.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, it is provided that a kind of based on wireless station Grid Monitoring System Frequency spectrum sensing method.
It is an object of the invention to be achieved through the following technical solutions: frequency spectrum based on wireless station Grid Monitoring System Cognitive method, it comprises the following steps:
S1: monitoring station is carried out frequency spectrum according to local less radio-frequency environment to the data of local testing result as single node special Property mark;
S2: the frequency data of single node perception pass through transmission channel to gridding control centre;
S3: gridding control centre carries out centralized collaborative perception as data fusion node to single-node data, and makes comprehensive Close judgement.
In described step S1, portable monitoring station is carried out local collaborative perception, then makees with Cooperative data fusion point Spectral characteristic mark is carried out for new single node.
In described step S1, all single node are pre-set a sensitivity for resisting the shadow that multipath fading produces Ring.
In described step S1, the data of local testing result are compressed, reduce data transfer overhead.
Described step S3, decompresses the single-node data being transferred to gridding control centre, and to decompression after Data carry out collaborative perception, and concrete collaborative perception includes following sub-step::
S301: set threshold value, all single-node datas of scan round also identify the single node signal of different signal to noise ratio;
Whether S302: identification burst signal to noise ratio is more than threshold value;
S303: if id signal signal to noise ratio is more than threshold value, then the single node that signal to noise ratio is in similar level is sorted out, and then enters The unified collaborative perception of row, extracts frequency data;Otherwise, single-node data is continued to scan on;
Difference synergistic results is notified other nodes by S304: gridding control centre, declares channel occupancy situation, it is to avoid believe Road interference or competition.
In described step S3, gridding control centre comprehensively adjudicates and includes the judgement of single node fused data and list The judgement of the channel transmission data between node.
Described monitoring station includes fixed monitoring station, portable monitoring station and central monitoring station.
The invention has the beneficial effects as follows: the present invention uses centralized collaborative perception, this locality perception is tied by each sensing node Fruit is delivered to the unification of gridding control centre and carries out data fusion, makes a policy.System is reached by the cooperation between detection node The detection threshold required, thus reduce monitoring system to the requirement of single detection node and the burden of single detection node, effectively Eliminate the impact of shadow effect.
Accompanying drawing explanation
Fig. 1 is the inventive method step schematic diagram;
Fig. 2 is the present invention centralized collaborative perception flow chart;
Fig. 3 is that the present invention monitors system structure schematic diagram.
Detailed description of the invention
Technical scheme is described in further detail below in conjunction with the accompanying drawings, but protection scope of the present invention is not limited to The following stated.
Frequency spectrum sensing method based on wireless station Grid Monitoring System, it comprises the following steps:
S1: monitoring station is carried out frequency spectrum according to local less radio-frequency environment to the data of local testing result as single node special Property mark;
S2: the frequency data of single node perception pass through transmission channel to gridding control centre;
S3: gridding control centre carries out centralized collaborative perception as data fusion node to single-node data, and makes comprehensive Close judgement.
In described step S1, portable monitoring station is carried out local collaborative perception, then makees with Cooperative data fusion point Spectral characteristic mark is carried out for new single node.
In described step S1, all single node are pre-set a sensitivity for resisting the shadow that multipath fading produces Ring.
In described step S1, the data of local testing result are compressed, reduce data transfer overhead.
Described step S3, decompresses the single-node data being transferred to gridding control centre, and to decompression after Data carry out collaborative perception, and concrete collaborative perception includes following sub-step::
S301: set threshold value, all single-node datas of scan round also identify the single node signal of different signal to noise ratio;
Whether S302: identification burst signal to noise ratio is more than threshold value;
S303: if id signal signal to noise ratio is more than threshold value, then the single node that signal to noise ratio is in similar level is sorted out, and then enters The unified collaborative perception of row, extracts frequency data;Otherwise, single-node data is continued to scan on;
Difference synergistic results is notified other nodes by S304: gridding control centre, declares channel occupancy situation, it is to avoid believe Road interference or competition.
In described step S3, gridding control centre comprehensively adjudicates and includes the judgement of single node fused data and list The judgement of the channel transmission data between node.
Described monitoring station includes fixed monitoring station, portable monitoring station and central monitoring station.
As it is shown on figure 3, be wireless station Grid Monitoring System structural representation of the present invention, multiple monitoring stations gather data, It is transferred to gridding control centre.Described frequency spectrum sensing method based on wireless station Grid Monitoring System, such as Fig. 1, Fig. 2 institute Showing, using monitoring station as single node perceived frequency signal, and frequency signal carries out spectral characteristic mark, monitoring station is arranged simultaneously One signal sensitivity, for resisting the impact that multipath fading causes, then the data gathered suitably are compressed by monitoring station Rear transmission, reduces transport overhead.In gridding control centre, all single node constituting monitoring station in monitoring network collect Chinese style collaborative perception, processes the data of each single node transmission simultaneously, and result notifies other nodes in time, statement letter Road takies situation, it is to avoid channel competition and interference.Gridding control centre, based on comprehensive court verdict, makes a policy, and output is dry Disturb signal message and illegal station signal message.

Claims (7)

1. frequency spectrum sensing method based on wireless station Grid Monitoring System, it is characterised in that it comprises the following steps:
S1: monitoring station is carried out frequency spectrum according to local less radio-frequency environment to the data of local testing result as single node special Property mark;
S2: the frequency data of single node perception pass through transmission channel to gridding control centre;
S3: gridding control centre carries out centralized collaborative perception as data fusion node to single-node data, and makes comprehensive Close judgement.
2. frequency spectrum sensing method based on wireless station Grid Monitoring System as claimed in claim 1, it is characterised in that: described Step S1 in, portable monitoring station is carried out local collaborative perception, then using Cooperative data fusion point as new single node Carry out spectral characteristic mark.
3. frequency spectrum sensing method based on wireless station Grid Monitoring System as claimed in claim 1, it is characterised in that: described Step S1 in, all single node are pre-set a sensitivity for resist multipath fading produce impact.
4. frequency spectrum sensing method based on wireless station Grid Monitoring System as claimed in claim 1, it is characterised in that: described Step S1 in, the data of local testing result are compressed, reduce data transfer overhead.
5. frequency spectrum sensing method based on wireless station Grid Monitoring System as claimed in claim 1, it is characterised in that: described Step S3, the single-node data being transferred to gridding control centre is decompressed, and to decompression after data work in coordination with Perception, concrete collaborative perception includes following sub-step:
S301: set threshold value, all single-node datas of scan round also identify the single node signal of different signal to noise ratio;
Whether S302: identification burst signal to noise ratio is more than threshold value;
S303: if id signal signal to noise ratio is more than threshold value, then the single node that signal to noise ratio is in similar level is sorted out, and then enters The unified collaborative perception of row, extracts frequency data;Otherwise, single-node data is continued to scan on;
Difference synergistic results is notified other nodes by S304: gridding control centre, declares channel occupancy situation, it is to avoid believe Road interference or competition.
6. frequency spectrum sensing method based on wireless station Grid Monitoring System as claimed in claim 1, it is characterised in that: described Step S3 in, gridding control centre comprehensively adjudicate include to single node fused data judgement with single node between letter The judgement of road transmission data.
7. frequency spectrum sensing method based on wireless station Grid Monitoring System as claimed in claim 1, it is characterised in that: described Monitoring station include fixed monitoring station, portable monitoring station and central monitoring station.
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CN108809450A (en) * 2018-08-01 2018-11-13 中国科学院上海微系统与信息技术研究所 A kind of distributed frequency spectrum monitoring method
WO2019170001A1 (en) * 2018-03-06 2019-09-12 西安大衡天成信息科技有限公司 Frequency spectrum monitoring data structured representation method, and data processing method and compression method
WO2019170000A1 (en) * 2018-03-06 2019-09-12 西安大衡天成信息科技有限公司 Spectrum monitoring data processing system and method
CN114205821A (en) * 2021-11-30 2022-03-18 广州万城万充新能源科技有限公司 Wireless radio frequency anomaly detection method based on depth prediction coding neural network

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CN101437295A (en) * 2008-12-09 2009-05-20 重庆邮电大学 Method for detecting perception radio collaboration frequency spectrum based on SNR compare
WO2013127343A1 (en) * 2012-02-27 2013-09-06 联发科技(新加坡)私人有限公司 Method and apparatus for using cognitive radio technology
CN103338458A (en) * 2013-07-11 2013-10-02 东南大学 Cooperative spectrum sensing method used for cognitive radio system
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019170001A1 (en) * 2018-03-06 2019-09-12 西安大衡天成信息科技有限公司 Frequency spectrum monitoring data structured representation method, and data processing method and compression method
WO2019170000A1 (en) * 2018-03-06 2019-09-12 西安大衡天成信息科技有限公司 Spectrum monitoring data processing system and method
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CN114205821A (en) * 2021-11-30 2022-03-18 广州万城万充新能源科技有限公司 Wireless radio frequency anomaly detection method based on depth prediction coding neural network
CN114205821B (en) * 2021-11-30 2023-08-08 广州万城万充新能源科技有限公司 Wireless radio frequency anomaly detection method based on depth prediction coding neural network

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