CN101459445B - Cooperative spectrum sensing method in cognitive radio system - Google Patents
Cooperative spectrum sensing method in cognitive radio system Download PDFInfo
- Publication number
- CN101459445B CN101459445B CN2008101635162A CN200810163516A CN101459445B CN 101459445 B CN101459445 B CN 101459445B CN 2008101635162 A CN2008101635162 A CN 2008101635162A CN 200810163516 A CN200810163516 A CN 200810163516A CN 101459445 B CN101459445 B CN 101459445B
- Authority
- CN
- China
- Prior art keywords
- user
- cognitive radio
- perception
- cooperation
- frequency spectrum
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000001228 spectrum Methods 0.000 title claims abstract description 35
- 230000001149 cognitive effect Effects 0.000 title claims description 67
- 230000008447 perception Effects 0.000 claims abstract description 31
- 238000009825 accumulation Methods 0.000 claims description 3
- 230000001186 cumulative effect Effects 0.000 claims description 2
- 238000011002 quantification Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 abstract description 12
- 238000010606 normalization Methods 0.000 abstract description 2
- 230000019771 cognition Effects 0.000 abstract 2
- 238000002156 mixing Methods 0.000 description 17
- 238000005516 engineering process Methods 0.000 description 11
- 238000004891 communication Methods 0.000 description 8
- 230000004927 fusion Effects 0.000 description 6
- 238000012360 testing method Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000003920 cognitive function Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The invention relates to a cooperative frequency spectrum perception method in a cognition wireless system. An existing cooperative frequency spectrum perception method is unable to effectively resist attracts of malicious users. The method of the invention comprises: firstly conducting the energy detection to a main user signal by each user, sending the energy detection result to a control center, reading out the creditability of each user from a user creditability data pack, and obtaining the weight parameter of each user in the cooperative perception after the normalization treatment, and comparing the local perception result with a decision threshold of a system after multiplying the local perception result with the weight parameter of the related user, if the compared result is larger, meaning that a target frequency brand is currently used by the main user, or the target frequency brand is not currently used by the main user if smaller. The method of the invention has the simplicity and the practicability of a linear cooperative perception algorithm, overcomes the weaknesses of being unable to resist malicious node attacks in the existing method, and lightens the affects of the malicious nodes to the perception performance of the whole cognition wireless system.
Description
Technical field
The invention belongs to the cognitive radio technology field, relate to a kind of a plurality of cognitive radio users is carried out perception in the mode of cooperation to frequency spectrum cavity-pocket method.
Background technology
In recent years, when the high speed development of wireless technology brings many new services, the problem that wireless frequency spectrum is rare is also more obvious, because the realization of many new technologies all need to be take frequency spectrum resource as the basis, so the rare bottleneck that affects the communications industry development that become of wireless frequency spectrum.All the time radio spectrum resources to use and manage all be to be undertaken by government is unified, present assignable frequency band remains little, but existing multinomial studies show that in the wireless frequency spectrum that has dispensed, the utilance of most of frequency ranges is lower than 25%, some frequency range utilances even less than 10%.In this case, can effectively utilize frequency spectrum cavity-pocket to realize that cognitive radio (Cognitive Radio) technology of communication becomes the focus of current research.
The target of cognitive radio technology is to improve the availability of frequency spectrum, so that possess intelligently perception of the wireless user environment on every side of cognitive function, do not use in the mode of waiting for an opportunity and to be finished communication by the frequency spectrum resource of primary user (Primary User) usefulness, primary user's communication is not exerted an influence simultaneously.Cognitive radio users is by continuous cognitive radio environment, can detect whether certain frequency range is current in the communication range of oneself is used by the primary user, if finding that this frequency range is current is not used by the primary user, represent that then cognitive radio users can use this frequency range to communicate; In case the primary user need to use certain frequency range, the cognitive radio users of then using this frequency range to communicate must stop at the communication of this frequency range at once, continues to seek the frequency range of not used by the primary user and communicates.
Frequency spectrum perception is to realize the first step of cognitive radio technology, owing to can not primary user's communication be impacted, simultaneously must reach the purpose of effectively utilizing frequency spectrum cavity-pocket again, this just requires the accurately operating position of perception primary user on each frequency range of cognitive radio users.Frequency spectrum perception technology commonly used mainly comprises energy detection technique, matched filtering detection technique and cyclostationarity detection technique at present.
Energy detection technique has the minimum and simple and practical characteristics of primary user's signal demand prior information, mainly comprises following step:
(1) will receive signal by band pass filter, the signal of the target frequency bands that acquisition will detect.
(2) the target frequency bands signal is passed through the square law device, obtain this signal power and estimate.
(3) power to this signal is estimated integration within certain fixing cycle, obtains the signal energy in the target frequency bands.
(4) signal energy value and a certain thresholding that obtains compared, be higher than this thresholding and represent that then current this frequency range used by the primary user, be lower than this thresholding and represent that then current this frequency range do not used by the primary user.
Consider that single cognitive radio users uses energy detection technique to carry out the accuracy of frequency spectrum perception lower, and promote the problems such as the cost of unique user perception accuracy is too high, someone has proposed the method for cooperative spectrum sensing.Fig. 1 is cognitive radio system cooperative spectrum sensing schematic diagram.The cognitive radio users that participates in cooperation will be carried out perception to primary user's signal of target frequency bands, local sensing results is separately sent to the control centre of cognitive radio system, control centre adopts certain blending algorithm to process the local sensing results of receiving, obtains final court verdict.
Some blending algorithms that propose at present mainly contain likelihood ratio blending algorithm and linear blending algorithm, it is good that the former detects performance, but implementation complexity is high, is difficult to actual cognitive radio system, although the latter slightly is worse than the former on performance, realize relatively simple.Common linear blending algorithm has high specific to merge, and waits gain to merge and the optimum linearity fusion.But, high specific blending algorithm and optimum linearity blending algorithm all need the wireless aware characteristic of channel is estimated in real time, because wireless channel is easily affected by environment, so in practice the characteristic of channel is estimated that in real time the amount of calculation that needs is larger, be difficult to practicality; Although do not need wireless channel is estimated Deng the gain blending algorithm, this method is not considered the otherness of each user awareness environment, for example each user's channel perception characteristic is different, local reception signal to noise ratio difference of each user etc.On the other hand, common linear blending algorithm does not consider that the malice cognitive radio users is on the impact of cooperation perceptual performance yet.The malice cognitive radio users can be disturbed normal cooperative sensing process by sending wrong local sensing results to control centre, causes system to produce wrong judgement.Under the interference of malice cognitive radio users, these three kinds of Algorithm Performances all can descend, and along with the increase of malice cognitive radio users proportion, this to affect meeting more obvious, have also just lost the meaning of cooperation.
Summary of the invention
The present invention is directed to existing some problems of cooperation frequency spectrum sensing method in the cognitive radio system, comprise based on the cooperative sensing method of high specific blending algorithm and optimum linearity blending algorithm and can't estimate exactly wireless aware channel real-time characteristic in practice, based on etc. the cooperative sensing method of gain blending algorithm do not take into full account the otherness of user awareness environment, and existing cooperation frequency spectrum sensing method can not effectively resist malicious user attack etc., proposes a kind of linearity based on user's confidence level and merges cooperative sensing method.
The inventive method does not need characteristics of radio channels is estimated in real time, taken into full account the diversity of cognitive radio users perception environment, and can effectively resist the attack of malice cognitive radio users in the cooperative sensing process, alleviate malicious node to the impact of system senses performance.
The present invention adopts traditional binary hypothesis test model, H
0Represent the hypothesis that the current target frequency bands that detects is not used by the primary user, H
1Represent the hypothesis that the current target frequency bands that detects is being used by the primary user.Target frequency bands is detected, and is exactly in fact at H
0Suppose and H
1Make judgement between supposing.Concrete method is to compare with testing result and this binary hypothesis test model decision threshold, obtains court verdict.The present invention adopts the optimum detection method based on the Neyman-Pearson theory, namely in the situation that given false alarm probability maximizes detection probability.False alarm probability is at H
0The result that supposes to act is the probability that the current target frequency bands that detects is being used by the primary user.Detection probability is at H
1The result that supposes to act is the probability that the current target frequency bands that detects is being used by the primary user.Can be calculated the decision threshold of described binary hypothesis test model by given false alarm probability.
The present invention uses the linear weighted function blending algorithm in control centre, namely use the sensing results of each cognitive radio users of receiving to multiply by weight coefficient corresponding to this user, again multiplied result is added up, and the decision threshold of this accumulation result and system compared obtain final judging result.Compare the high specific blending algorithm and etc. the gain blending algorithm, this Weighted Fusion algorithm takes full advantage of the diversity of each user awareness environment.In the Weighted Fusion algorithm that proposes, obtain after the confidence level normalization of employed weight coefficient by cognitive radio users, confidence level then is that control centre obtains according to the performance statistics of this cognitive radio users in each cooperative sensing process, and the method for utilizing confidence level generation weight coefficient to be weighted fusion can reduce the impact that offensive attack produces the system senses performance in the cooperative sensing process of malice cognitive radio users.
The step of the inventive method is:
1. each cognitive radio users that participates in cooperating is carried out frequency spectrum perception to primary user's signal by energy measuring;
Each cognitive radio users that participates in cooperation adopts existing energy detection technique (energy detection technique described in the background technology) that the primary user's signal energy in the target frequency bands is detected.
2. the energy measuring sensing results that each is participated in the energy measuring sensing results of cognitive radio users of cooperation or quantification sends to control centre as the control channel of local sensing results by cognitive radio system.Transmission method adopts the existing communication data transmission method.
3. the control centre of cognitive radio system receives after the local sensing results of the cognitive radio users that all participate in cooperation, reads the confidence level r that each participates in the cognitive radio users of cooperation from user's confidence level database
j, and it is carried out normalized, obtain the weight coefficient w of each user in this cooperative sensing
j,
K is the sum of the cognitive radio users of participation cooperation.
4. the local sensing results Y that will receive
jWeight w with respective user
jMultiplication, cumulative again,
With the decision threshold of accumulation result V and system relatively: if this result more than or equal to decision threshold, then to be that target frequency bands is current used by the primary user system determination result; If this result is less than decision threshold, then to be that target frequency bands is current do not used by the primary user system determination result.The method of the decision threshold of computing system adopts existing method ("------can be calculated the decision threshold of described binary hypothesis test model by given false alarm probability " described in the background technology).
5. the control centre of cognitive radio system is to participating in the confidence level r of the cognitive radio users of cooperation in user's confidence level database
jUpgrade, concrete grammar is:
Each user's that control centre is received local sensing results Y
jDecision threshold when carrying out the perception of alone family with this user is made comparisons: if local sensing results Y
jMore than or equal to decision threshold, then to be that target frequency bands is current used by the primary user court verdict of this alone family frequency spectrum perception; If local sensing results Y
jLess than decision threshold, then to be that target frequency bands is current do not used by the primary user court verdict of this alone family frequency spectrum perception;
If the court verdict of alone family frequency spectrum perception is consistent with the system determination result of this cooperative sensing, then improve this user's confidence level according to the requirement of cognitive radio system; If inconsistent, then reduce this user's confidence level according to the requirement of cognitive radio system.
The method of the decision threshold during alone family perception adopts existing method ("------can be calculated the decision threshold of described binary hypothesis test model by given false alarm probability " described in the background technology).
Cooperative sensing method has utilized energy measuring to the minimum advantage of primary user's signal demand prior information in the cognitive radio provided by the invention, the simplicity and the practicality that have simultaneously linear cooperative sensing algorithm have taken into full account the diversity of each user awareness environment; Employing has overcome the high specific fusion based on the blending algorithm of user's confidence level, waits gain fusion and optimum linearity to merge scheduling algorithm and can not effectively resist the shortcoming that malicious node is attacked, and has alleviated the impact of malicious node on whole cognitive radio system perceptual performance.
Description of drawings
Fig. 1 cognitive radio system cooperative spectrum sensing schematic diagram;
Fig. 2 cooperative sensing system block diagram of the present invention;
The workflow diagram of cognitive radio system control centre among Fig. 3 the present invention.
Embodiment
Such as Fig. 1, K cognitive radio users that participates in cooperative sensing arranged in this cognitive radio system, they carry out perception to the signal of primary user's transmitter in the target frequency bands, and separately local sensing results is sent to control centre in this cognitive radio system; Control centre adopts certain blending algorithm to process the local sensing results of receiving, judges current whether the use by the primary user of target frequency bands of detecting.
Such as Fig. 2, the cooperative spectrum sensing process comprises following step:
(1) cognitive radio users j (j=1,2 ... K) target frequency bands is carried out energy measuring, to the signal x that receives
i(t) obtain the energy value Y of this signal after processing
j
(2) cognitive radio users j is with energy value Y
jAs local sensing results, send to the control centre of cognitive radio system by control channel.Because Y
jThrough control channel the time, the noise n of the control channel that superposeed
jTherefore the sensing results that finally arrives control centre is Z
j
(3) control centre is according to the confidence level r of each user in the confidence level database
jCalculate this user corresponding weight coefficient w in this cooperative sensing
j
(4) the local sensing results Z of the cognitive radio users of the participation cooperation that will receive of control centre
jWith corresponding weight coefficient w
jBe weighted addition, this weighting summation result and system determination thresholding are compared, obtain the system determination result.
Such as Fig. 3, in the cooperative spectrum sensing process, the work of control centre comprises following step:
(1) receives the local sensing results that each cognitive radio users that participates in cooperation sends.
(2) from user's confidence level database, obtain each user's confidence level, obtain the weight coefficient of this user in this cooperative sensing after the confidence level normalized with each user.
(3) multiply by this user's who receives local sensing results with each user's weight coefficient, then add up, and will add up and with the system determination thresholding relatively.If greater than this system determination thresholding, then to be that target frequency bands is current used by the primary user court verdict; If less than this system determination thresholding, then to be that target frequency bands is current do not used by the primary user court verdict.
Thresholding when the local sensing results that each user that (4) will receive sends and this user carry out alone family frequency spectrum perception is made comparisons, the court verdict when obtaining this user and carrying out alone family frequency spectrum perception.
(5) the alone family court verdict of each user of obtaining in (4) step is made comparisons with the system determination result of this cooperative sensing, if unanimously, then improve this user's confidence level according to the requirement of cognitive radio system; If inconsistent, then reduce this user's confidence level according to the requirement of cognitive radio system.
Claims (1)
1. the cooperation frequency spectrum sensing method in the cognitive radio system is characterized in that the concrete steps of the method are:
Step (1). each participates in the cognitive radio users of cooperation primary user's signal is carried out frequency spectrum perception by energy measuring;
Step (2). each energy measuring sensing results that participates in the energy measuring sensing results of cognitive radio users of cooperation or quantification is sent to control centre as the control channel of local sensing results by cognitive radio system;
Step (3). the control centre of cognitive radio system receives after the local sensing results of the cognitive radio users that all participate in cooperation, reads the confidence level r that each participates in the cognitive radio users of cooperation from user's confidence level database
j, and it is carried out normalized, obtain the weight coefficient w of each user in this cooperative sensing
j,
K is the sum of the cognitive radio users of participation cooperation;
Step (4). the local sensing results Y that will receive
jWeight w with respective user
jIt is cumulative after the multiplication,
With the decision threshold of accumulation result V and system relatively: if this result more than or equal to decision threshold, then to be that target frequency bands is current used by the primary user system determination result; If this result is less than decision threshold, then to be that target frequency bands is current do not used by the primary user system determination result;
Step (5). the control centre of cognitive radio system is to participating in the confidence level r of the cognitive radio users of cooperation in user's confidence level database
jUpgrade, concrete grammar is:
Each user's that control centre is received local sensing results Y
jDecision threshold when carrying out the perception of alone family with this user is made comparisons: if local sensing results Y
jMore than or equal to decision threshold, then to be that target frequency bands is current used by the primary user court verdict of this alone family frequency spectrum perception; If local sensing results Y
jLess than decision threshold, then to be that target frequency bands is current do not used by the primary user court verdict of this alone family frequency spectrum perception;
If the court verdict of alone family frequency spectrum perception is consistent with the system determination result of this cooperative sensing, then improve this user's confidence level according to the requirement of cognitive radio system; If inconsistent, then reduce this user's confidence level according to the requirement of cognitive radio system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2008101635162A CN101459445B (en) | 2008-12-29 | 2008-12-29 | Cooperative spectrum sensing method in cognitive radio system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2008101635162A CN101459445B (en) | 2008-12-29 | 2008-12-29 | Cooperative spectrum sensing method in cognitive radio system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101459445A CN101459445A (en) | 2009-06-17 |
| CN101459445B true CN101459445B (en) | 2013-03-06 |
Family
ID=40770097
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2008101635162A Expired - Fee Related CN101459445B (en) | 2008-12-29 | 2008-12-29 | Cooperative spectrum sensing method in cognitive radio system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101459445B (en) |
Families Citing this family (35)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101990211B (en) * | 2009-07-31 | 2016-08-24 | 华为技术有限公司 | Method for network access, device and system |
| CN101710848B (en) * | 2009-11-13 | 2012-08-29 | 北京邮电大学 | Cooperative frequency spectrum sensing method based on fuzzy integral and optimization theory |
| CN101711032B (en) * | 2009-11-23 | 2012-07-25 | 哈尔滨工业大学 | Cognitive radio electric dynamic smart frequency spectrum access method for unknown environmental model characteristics |
| CN101741484B (en) * | 2009-12-04 | 2013-04-17 | 工业和信息化部电信传输研究所 | Method for sensing multiband robust spectrum and sensor |
| CN101730214B (en) * | 2009-12-07 | 2011-11-16 | 浙江大学 | Power spectrum profile generation and step-type power control method in multiple carrier wireless cognitive link |
| CN101753232B (en) * | 2009-12-16 | 2014-04-02 | 北京航空航天大学 | Method and system for detecting cooperative frequency spectrum |
| CN101753174B (en) * | 2009-12-16 | 2013-10-16 | 北京航空航天大学 | Method and system for detecting self-adaption frequency spectrum |
| CN102577479B (en) * | 2010-01-07 | 2015-03-25 | 上海贝尔股份有限公司 | Method and node for cognizing cooperative spectrum of cognitive wireless network |
| CN101789834B (en) * | 2010-01-29 | 2013-05-08 | 中国人民解放军理工大学 | Cooperation spectrum sensing method based on network encoding |
| CN101789836B (en) * | 2010-02-02 | 2013-03-06 | 浙江大学 | Cooperative spectrum sensing method capable of saving cost on network communication |
| CN101815305B (en) * | 2010-02-10 | 2013-07-17 | 中国人民解放军理工大学 | Credibility based cooperative spectrum sensing method |
| CN101808327B (en) * | 2010-03-04 | 2013-11-06 | 电子科技大学 | Method and system based on visual cognition in radio communication |
| CN101848012B (en) * | 2010-04-22 | 2012-12-05 | 电子科技大学 | Perception method of cooperative spectrum |
| CN101917756B (en) * | 2010-07-16 | 2013-09-11 | 电子科技大学 | Visual cognition-based power control method |
| CN102013928B (en) * | 2010-11-22 | 2013-04-24 | 宁波大学 | Fast spectrum perception method in cognitive radio system |
| CN102118824A (en) * | 2011-01-14 | 2011-07-06 | 利尔达科技有限公司 | Radio communication anti-collision method based on received signal strength indicator (RSSI) |
| CN102118744B (en) * | 2011-03-04 | 2013-07-24 | 浙江大学 | Method for safely selecting cooperative user during cooperative spectrum sensing |
| CN102291191B (en) * | 2011-08-19 | 2013-08-14 | 电子科技大学 | Frequency spectrum sensing method |
| CN102438236B (en) * | 2011-10-14 | 2014-07-02 | 浙江大学 | Security cooperative spectrum perception method for resisting perception data error attack |
| EP2832167B1 (en) * | 2012-03-26 | 2017-04-26 | Nokia Technologies Oy | Methods, apparatuses, and computer program for out-of-band sensing in a cognitive lte system |
| CN103684626A (en) * | 2012-09-20 | 2014-03-26 | 中兴通讯股份有限公司 | Multi user cooperative frequency spectrum sensing data fusion method and device |
| CN103117820B (en) * | 2013-01-23 | 2016-03-09 | 南通大学 | Based on the weighting cooperative spectrum detection method of confidence level |
| CN103294954B (en) * | 2013-06-07 | 2015-12-02 | 四川大学 | A kind of compound document malicious code detecting method based on spectrum analysis and system |
| CN103326797B (en) * | 2013-06-21 | 2015-10-28 | 上海交通大学 | Cooperative frequency spectrum sensing method in cognition network |
| CN104254078B (en) * | 2013-06-28 | 2017-11-17 | 清华大学 | Cognitive radio system joint spectrum cognitive method under the more level environment of primary user |
| CN103746752B (en) * | 2013-12-18 | 2016-05-18 | 同济大学 | A kind of smart frequency spectrum cognitive method based on layering Di Li Cray process |
| CN104022839B (en) * | 2014-06-23 | 2016-04-20 | 哈尔滨工业大学 | A kind of information fusion decision method being applied to cooperative spectrum sensing |
| CN105323195B (en) * | 2014-07-11 | 2018-07-06 | 中国人民解放军理工大学 | A kind of shortwave multichannel unified prediction under historical data deletion condition |
| CN104796899B (en) * | 2015-03-23 | 2019-05-03 | 南京邮电大学 | Adaptive cooperation frequency spectrum sensing method and system based on optimal relaying |
| CN105554739B (en) * | 2015-12-08 | 2018-09-28 | 浙江大学 | Primary user based on channel multi-path delay inequality emulates attack detection method |
| CN106792729B (en) * | 2016-12-16 | 2019-09-13 | 福州大学 | A kind of cooperation cognitive radio frequency spectrum sensing method based on cumulant |
| CN106792728B (en) * | 2016-12-16 | 2019-11-12 | 福州大学 | Close to optimal imparametrization cognitive radio cyclo-stationary cooperation frequency spectrum sensing method |
| CN111031470A (en) * | 2019-11-14 | 2020-04-17 | 天津大学 | Positioning frequency point selection method based on position weight |
| CN114448536B (en) * | 2021-11-12 | 2024-01-05 | 西安电子科技大学重庆集成电路创新研究院 | Full duplex spectrum sensing method |
| CN116015505A (en) * | 2022-12-29 | 2023-04-25 | 电子科技大学深圳研究院 | Method and device for reliably sensing user selection in cognitive wireless network |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101155423A (en) * | 2006-09-29 | 2008-04-02 | 三星电机株式会社 | Algorithmes et procedes de detection de spectre. |
| CN101286807A (en) * | 2008-05-19 | 2008-10-15 | 华中科技大学 | OFDM frequency spectrum distributing method by identifying radio network based on interference of receiver |
-
2008
- 2008-12-29 CN CN2008101635162A patent/CN101459445B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101155423A (en) * | 2006-09-29 | 2008-04-02 | 三星电机株式会社 | Algorithmes et procedes de detection de spectre. |
| CN101286807A (en) * | 2008-05-19 | 2008-10-15 | 华中科技大学 | OFDM frequency spectrum distributing method by identifying radio network based on interference of receiver |
Non-Patent Citations (4)
| Title |
|---|
| 何丽华,谢显中,董雪涛,周通.感知无线电中的频谱检测技术.《通信技术》.2007,(第185期),第9-11页. |
| 基于能量检测的频谱感知方法的介绍;殷振华,耿志,刘郁林,田来;《通信技术》;20071130;第40卷(第191期);第83-85页 * |
| 感知无线电中的频谱检测技术;何丽华,谢显中,董雪涛,周通;《通信技术》;20070531(第185期);第9-11页 * |
| 殷振华,耿志,刘郁林,田来.基于能量检测的频谱感知方法的介绍.《通信技术》.2007,第40卷(第191期),83-85页. |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101459445A (en) | 2009-06-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101459445B (en) | Cooperative spectrum sensing method in cognitive radio system | |
| CN102571241B (en) | Improved double-threshold cooperative spectrum sensing method | |
| CN101521896B (en) | Cooperative spectrum sensing method based on likelihood ratio in cognitive radio | |
| CN103338082B (en) | Double-threshold cooperation frequency spectrum sensing method based on k-rank criteria | |
| CN102324959B (en) | Frequency spectrum sensing method based on multi-aerial system covariance matrix | |
| CN104135327A (en) | Spectrum sensing method based on support vector machine | |
| CN106603500B (en) | Frequency spectrum perception data detection method in cognition wireless network based on relationship match | |
| CN103338451B (en) | Distributed malicious node detection method in a kind of wireless sensor network | |
| CN103763706A (en) | Collaborative spectrum sensing vague fusion method based on clustering | |
| CN103220052A (en) | Method for detecting frequency spectrum hole in cognitive radio | |
| CN104038296A (en) | Method for detecting cooperation spectrum of cognitive radio network | |
| CN111465023B (en) | Self-adaptive double-threshold spectrum sensing method based on historical energy information | |
| Zhang et al. | Cooperative spectrum sensing based on artificial neural network for cognitive radio systems | |
| CN102438334A (en) | Method for carrying out modulation recognition through distributed cooperation of multiple sensor nodes | |
| CN103841566A (en) | Method for cooperative spectrum sensing based on D-S evidence theory under condition of malicious user attacks in mobile model | |
| CN103888201A (en) | Cooperative spectrum sensing method utilizing space diversity | |
| Liu et al. | An adaptive double thresholds scheme for spectrum sensing in cognitive radio networks | |
| Haldorai et al. | Cognitive Wireless Networks Based Spectrum Sensing Strategies: A Comparative Analysis | |
| CN104158604A (en) | Distributed cooperation spectrum sensing method based on average consensus | |
| CN104022839B (en) | A kind of information fusion decision method being applied to cooperative spectrum sensing | |
| CN102118200B (en) | Spectrum detecting method based on covariance absolute value method | |
| CN102438236B (en) | Security cooperative spectrum perception method for resisting perception data error attack | |
| CN109150623A (en) | Malicious user SSDF attack method and system are resisted based on repeating query credit value | |
| CN102299748A (en) | Spectrum detection method in cognitive radio network | |
| Pan et al. | Spectrum Sensing Based on CNN-LSTM with Attention for Cognitive Radio Networks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130306 Termination date: 20201229 |