CN108964804A - A kind of cooperation detection Heterogeneous Information fusion method - Google Patents
A kind of cooperation detection Heterogeneous Information fusion method Download PDFInfo
- Publication number
- CN108964804A CN108964804A CN201810600479.0A CN201810600479A CN108964804A CN 108964804 A CN108964804 A CN 108964804A CN 201810600479 A CN201810600479 A CN 201810600479A CN 108964804 A CN108964804 A CN 108964804A
- Authority
- CN
- China
- Prior art keywords
- detection
- node
- cooperation
- fusion
- information
- 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.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
Abstract
The invention discloses a kind of cooperation detection Heterogeneous Information fusion methods.This method are as follows: cooperation detection node random selection fuse information reports mode first；Then detection channel and reporting channel wireless channel condition are obtained；Then Testing index is set, detection fusion rule is selected, quantitative criteria is set, calculates the interstitial content for meeting the interstitial content for reporting complete detection data required for Testing index and reporting local detection result, and reporting channel quality is combined, specifically determine that the fuse information of each node reports mode；Information reporting convergence finally is carried out by integration program, fusion center calculates cooperation detection result；The wireless electromagnetic environment that faces such as collaborative detection method, Testing index demand change, then collect environmental information again and formulate integration program.The present invention improves the speed of cooperation detection under the premise of meeting detection accuracy requirement.
Description
Technical field
The present invention relates to the wireless signal detection technique field in cordless communication network, especially a kind of cooperation detection isomery
Information fusion method.
Background technique
The state of radio-signal source is detected, is wireless network access control, frequency spectrum share and electromagnetic environment
One of the important content of obtain etc..Due to the complexity of wireless environment, detection of the individual equipment to radio signal source can be by
To the influence of many factors such as multipath fading and noise, cause the judgement accuracy to signal source state not high.It realizes higher
The detection of precision often may require that more sampled datas, this will lead to the longer sampling time, increase the time of detection.
So laying multiple detection nodes, carrying out detection to signal source using the method for collaboration is that one kind overcomes wireless environment complexity to ask
The effective ways of topic.
Multi-point cooperative detection generally take cooperation detection node sinks data to fusion center, then by fusion center into
The mode of the comprehensive judgement of row.Wherein, detection accuracy and detection time are two main indicators, and there are tradeoffs for the two.Currently,
The information fusion of multi-point cooperative detection is broadly divided into both of which: one is hard fusion mode, i.e., each node is first to signal source
Local judgement is carried out, respective court verdict is then reported to fusion center.The advantages of this mode, is the data reported
Less, disadvantage is to have lost information in local judging process, reduces the precision of amalgamation judging；Another kind is soft fusion mould
Formula, i.e., each node directly quantify detection data without local judgement, are sent to fusion center, subtract as far as possible
Sampled value is reported to fusion center in near-complete form, is then made decisions by fusion center by small amount error.It is this
The advantages of mode, is that amalgamation judging precision is high, and disadvantage is that each node transmission data are more, and above call time length.It is above two
Information fusion method respectively has an advantage and disadvantage, but wireless environment be it is changeable, certainly exist soft fusion mode precision waste but time delay
It is too big, and sensitive excessively high and precision deficiency the situation of hard fusion mode.
Summary of the invention
The purpose of the present invention is to provide a kind of cooperation detection Heterogeneous Informations for meeting detection needs, adapting to detection environment to melt
Conjunction method to realize the efficient cooperation detection of wireless signal, and improves the efficiency of synergistic signal detection.
Realizing the technical solution of the object of the invention is: a kind of cooperation detection Heterogeneous Information fusion method, including following
Step:
Step 1, initialization: cooperation detection node random selection fuse information reports mode；
Step 2, environment information acquisition: detection channel and reporting channel wireless channel condition are obtained；
Step 3, fusion method determine: setting Testing index selects detection fusion rule, sets quantitative criteria；It calculates full
The interstitial content of complete detection data is reported required for sufficient Testing index and reports the interstitial content of local detection result, and is tied
Reporting channel quality is closed, specifically determines that the fuse information of each node reports mode；
Step 4, cooperation detection judgement: information reporting convergence is carried out by integration program, fusion center calculates cooperation detection knot
Fruit.
Further, this method further includes that step 5, algorithm update: the wireless electromagnetic environment that is faced such as collaborative detection method,
Testing index demand changes, then return step 2 collects environmental information again and formulates integration program.
Further, initialization described in step 1, specific as follows:
Step 1.1, original definition:
Define SUiFor detection node set, i=1,2 ..., M, wherein SUiThe detection node for being i for number, i is node
Number；SUiFor the node set for reporting complete detection data, i=1,2 ..., K, SUiFor the node for reporting local detection result
Set, i=K+1, K+2 ..., M；
Definition FC is cooperation detection fusion center；R=[R1,R2,...,RM] it is that each node reports information to fusion center
Message transmission rate；τri_hThe time of local detection resulting schema consumption is reported for i-th of cooperation detection node, wherein i is
Node serial number；τri_sIt is the time that i-th of cooperation detection node reports complete pattern data detection consumption, wherein i is that node is compiled
Number；τsIt is that each node carries out detecting the consumed time；τrWhen being that each node reports consumed by information to fusion center
Between；
Step 1.2, fusion mode initialization: each node random selection reports information pattern, may be selected to report local inspection
It surveys result and reports complete detection data to fusion center to fusion center, or selection.
Further, environment information acquisition described in step 2, specific as follows:
Step 2.1 obtains detection channel conditions: each node obtains itself to the quality of wireless channel shape between signal source
Condition；
Step 2.2 obtains reporting channel situation: each node obtains itself to the quality of wireless channel between fusion center
Situation.
Further, fusion method described in step 3 determines, specific as follows:
Step 3.1, parameter setting: according to detection accuracy demand, Testing index is set；Setting reports local detection result institute
The quantizing bit number needed；
Step 3.2 determines amalgamation judging rule: according to detection accuracy demand and cooperation detection wireless environment, setting fusion
Decision rule；
Fusion center carries out cooperation detection judgement using OR, specifically: if there is more than one cooperation detection node is adjudicated
Signal source exists, then fusion center has decision signal source；
Monitoring probability of the system to signal source signal are as follows:
Wherein,It is comprehensive detection probability of the fusion center to signal source；Pd_lIt is each detection node itself to signal
The detection probability in source, M are cooperation detection interstitial contents；
Step 3.3, setting local detection thresholding: judgement when each cooperation detection node detects signal source is calculated
Thresholding, mathematical formulae are as follows:
Wherein, λlIt is local detection threshold value；γ is signal power to noise power ratio value of the signal source to detection node；It is root
According to central limit theory, the mean value for the Gaussian Profile probability density function that multi signal synthesis statistics is formed；N is detection node to letter
The sampling number of number source signal；Q-1() is inverse function, original function are as follows:
The detection probability that step 3.4, calculating will report each node of complete detection data to be summarized:
Wherein, K is the interstitial content for reporting complete detection data；λKIt is the complete detection data for merging K node and reporting
Carry out the decision threshold of signal source state judgement；Pd_KIt is to merge the complete detection data that K node reports to carry out signal source state
The detection probability of judgement；
Synthesis false-alarm probability at step 3.5, calculating fusion center:
Wherein,It is the signal source detection false-alarm probability at fusion center, i.e., signal source does not issue signal, but melts
But probability existing for its signal is adjudicated in conjunction center；It is the signal source detection probability at fusion center, i.e. signal source has issued letter
Number, fusion center also adjudicates probability existing for its signal；
Step 3.6, the fusion mode for determining each node:
Cooperative nodes reported data is calculated to the time needed for fusion center:
Wherein, R=[R1,R2,...,RM] it is that each node reports information to the message transmission rate of fusion center；τri_h
It is the time that i-th of cooperation detection node reports local detection resulting schema to consume, wherein i is node serial number；τri_sIt is i-th
Cooperation detection node reports the time of complete pattern data detection consumption, and wherein i is node serial number；τsIt is that each node is examined
Time consumed by surveying；F is sample frequency of the node to signal source；τrIt is that each node reports information to be consumed to fusion center
Time.
Further, cooperation detection described in step 4 is adjudicated, specific as follows:
Detection probability, false-alarm probability and the detection time requirement reached as needed, selectes integration program, determination has reported
The node of whole detection data and the node for reporting local detection result, then each node carries out signal sampling or local judgement,
Information reporting is converged into fusion center again, fusion center calculates cooperation detection result.
Compared with prior art, the present invention its remarkable advantage are as follows: (1) according to the needs of detection accuracy, in conjunction with cooperation detection
Factors, the quantitative analyses such as quality, information fusing wireless channel circumstance, the cooperation detection interstitial content of middle signal detection channel obtain
What is needed reports the number of complete detection data node and only reports the number of local detection result node, is meeting detection essence
Under the premise of degree requires, the speed of cooperation detection is improved；It (2) can be according to specific wireless environment and detection demand, motor-driven spirit
Determination living reports complete information and reports the interstitial content of discriminative information, obtains best folding in detection accuracy and detection time
In, quantitative mathematical analysis and calculating can be carried out to its each factor, realizes unrestricted choice isomery integration program as needed, had
There are stronger practical background and more scene applicabilities.
Detailed description of the invention
Fig. 1 is working mechanism's schematic diagram of cooperation detection Heterogeneous Information fusion method of the present invention.
Fig. 2 is the structure of time slot figure of cooperation detection Heterogeneous Information fusion method of the present invention.
Fig. 3 is the work flow diagram of cooperation detection Heterogeneous Information fusion method of the present invention.
Fig. 4 is the detection performance analogous diagram of cooperation detection Heterogeneous Information fusion method of the present invention.
Specific embodiment
The present invention is further illustrated with reference to the accompanying drawings and examples.
The working mechanism of cooperation detection Heterogeneous Information fusion method proposed by the present invention is as shown in Figure 1, wherein R1, R2 ...
RM is the message transmission rate on information fusion channel；The structure of time slot of the method mentioned as shown in Fig. 2, specific embodiment such as
Under:
In the cooperation detection system that one is made of M cooperation detection node and 1 fusion center, each cooperation detection
Node is acquired by the wireless signal to signal source, and by the requirement of fusion center, a part reports complete signal acquisition
Data, a part first carry out local judgement and then report court verdict to fusion center, and finally at fusion center, synthesis is each
The information that node reports carries out the state of amalgamation judging signal source.The purpose of this method is to meet the inspection to signal source state
Under the premise of surveying precision, according to wireless environment, optimization reports the number of the node of complete sample data, reach high measurement accuracy and
The optimization of low detection time, and enhance the adaptability to environment.
Cooperation detection Heterogeneous Information fusion method of the present invention, using workflow as shown in Figure 3, by following steps group
At:
Step 1, initialization: cooperation detection node random selection fuse information reports mode；
Step 2, environment information acquisition: detection channel and reporting channel wireless channel condition are obtained；
Step 3, fusion method determine: setting Testing index selects detection fusion rule, sets quantitative criteria；It calculates full
The interstitial content of complete detection data is reported required for sufficient Testing index and reports the interstitial content of local detection result, and is tied
Reporting channel quality is closed, specifically determines that the fuse information of each node reports mode；
Step 4, cooperation detection judgement: information reporting convergence is carried out by integration program, fusion center calculates cooperation detection knot
Fruit；
Step 5, algorithm update: the wireless electromagnetic environment that faces such as collaborative detection method, Testing index demand change,
Then return step 2 collects environmental information again and formulates integration program.
Further, initialization described in step 1, specifically includes:
Step 1.1, original definition:
Define SUiFor detection node set, i=1,2 ..., M, wherein SUiThe detection node for being i for number, i is node
Number；SUiFor the node set for reporting complete detection data, i=1,2 ..., K, SUiFor the node for reporting local detection result
Set, i=K+1, K+2 ..., M；
Definition FC is cooperation detection fusion center；R=[R1,R2,...,RM] it is that each node reports information to fusion center
Message transmission rate；τri_hThe time of local detection resulting schema consumption is reported for i-th of cooperation detection node, wherein i is
Node serial number；τri_sIt is the time that i-th of cooperation detection node reports complete pattern data detection consumption, wherein i is that node is compiled
Number；τsIt is that each node carries out detecting the consumed time；τrWhen being that each node reports consumed by information to fusion center
Between；
Step 1.2, fusion mode initialization: each node random selection reports information pattern, may be selected to report local inspection
It surveys result and reports complete detection data to fusion center to fusion center, or selection.
Further, environment information acquisition described in step 2, specifically includes the following steps:
Step 2.1 obtains detection channel conditions: each node obtains itself to the quality of wireless channel shape between signal source
Condition；
Step 2.2 obtains reporting channel situation: each node obtains itself to the quality of wireless channel between fusion center
Situation.
Further, fusion method described in step 3 determines, specifically includes the following steps:
Step 3.1, parameter setting: according to detection accuracy demand, Testing index is set；Setting reports local detection result institute
The quantizing bit number needed；
Step 3.2 determines amalgamation judging rule: according to detection accuracy demand and cooperation detection wireless environment, setting fusion
Decision rule；
Fusion center carries out cooperation detection judgement using OR, specifically: if there is more than one cooperation detection node is adjudicated
Signal source exists, then fusion center has decision signal source；
Monitoring probability of the system to signal source signal are as follows:
Wherein,It is comprehensive detection probability of the fusion center to signal source；Pd_lIt is each detection node itself to signal
The detection probability in source, M are cooperation detection interstitial contents；
Step 3.3, setting local detection thresholding: judgement when each cooperation detection node detects signal source is calculated
Thresholding, mathematical formulae are as follows:
Wherein, λlIt is local detection threshold value；γ is signal power to noise power ratio value of the signal source to detection node；It is root
According to central limit theory, the mean value for the Gaussian Profile probability density function that multi signal synthesis statistics is formed；N is detection node to letter
The sampling number of number source signal；Q-1() is inverse function, original function are as follows:
The detection probability that step 3.4, calculating will report each node of complete detection data to be summarized:
Wherein, K is the interstitial content for reporting complete detection data；λKIt is the complete detection data for merging K node and reporting
Carry out the decision threshold of signal source state judgement；Pd_KIt is to merge the complete detection data that K node reports to carry out signal source state
The detection probability of judgement；
Synthesis false-alarm probability at step 3.5, calculating fusion center:
Wherein,It is the signal source detection false-alarm probability at fusion center, i.e., signal source does not issue signal, but melts
But probability existing for its signal is adjudicated in conjunction center；It is the signal source detection probability at fusion center, i.e. signal source has issued letter
Number, fusion center also adjudicates probability existing for its signal；
Step 3.6, the fusion mode for determining each node:
Cooperative nodes reported data is calculated to the time needed for fusion center:
Wherein, R=[R1,R2,...,RM] it is that each node reports information to the message transmission rate of fusion center；τri_h
It is the time that i-th of cooperation detection node reports local detection resulting schema to consume, wherein i is node serial number；τri_sIt is i-th
Cooperation detection node reports the time of complete pattern data detection consumption, and wherein i is node serial number；τsIt is that each node is examined
Time consumed by surveying；F is sample frequency of the node to signal source；τrIt is that each node reports information to be consumed to fusion center
Time.
In the case that above formula describes the signal source detection probability at given fusion center, complete testing number is reported
According to interstitial content and fusion center signal source false-alarm probability relationship and corresponding amalgamation judging required for the time.
The quantity of complete detection data node is reported according to the selection of this relationship and reports the number of nodes of local detection result, to realize
Isomery fusion adapting to environment, meeting Testing index requirement.
Further, cooperation detection described in step 4 is adjudicated, specifically:
Detection probability, false-alarm probability and the detection time requirement reached as needed, selectes integration program, determination has reported
The node of whole detection data and the node for reporting local detection result, then each node carries out signal sampling or local judgement,
Information reporting is converged into fusion center again, fusion center calculates cooperation detection result.
Embodiment 1
Effectiveness of the invention is verified below by embodiment.
It is as follows that simulating scenes are set: cooperation detection number of nodes 18；The detection probability target value 0.99 of cooperation detection system；It adopts
Sample frequency 6MHz, sampling time 1ms, signal-to-noise ratio -18dB；Quantizing bit number D=8；.
Fig. 4 for the mentioned method of the present invention detection performance analogous diagram, the results showed that, method proposed by the present invention can to assist
It is no longer limited to the mode of the fusion of selection soft value or hard values fusion with detection system, but realizes the need according to detection accuracy
Want, in conjunction with the quality of signal detection channel, information fusing wireless channel circumstance, cooperation detection interstitial content etc. in cooperation detection because
Element, quantitative analysis obtain reporting the number of complete detection data node and only reporting the number of local detection result node for needs
Mesh improves the speed of cooperation detection under the premise of meeting detection accuracy requirement.Simulation results show theoretical calculation is just
True property.
Claims (6)
1. a kind of cooperation detection Heterogeneous Information fusion method, which comprises the following steps:
Step 1, initialization: cooperation detection node random selection fuse information reports mode；
Step 2, environment information acquisition: detection channel and reporting channel wireless channel condition are obtained；
Step 3, fusion method determine: setting Testing index selects detection fusion rule, sets quantitative criteria；It calculates and meets inspection
It surveys required for index and reports the interstitial content of complete detection data and report the interstitial content of local detection result, and combine upper
Channel quality is reported, specifically determines that the fuse information of each node reports mode；
Step 4, cooperation detection judgement: information reporting convergence is carried out by integration program, fusion center calculates cooperation detection result.
2. cooperation detection Heterogeneous Information fusion method according to claim 1, which is characterized in that this method further includes step
5, algorithm updates: the wireless electromagnetic environment that faces such as collaborative detection method, Testing index demand change, then return step 2
Again it collects environmental information and formulates integration program.
3. cooperation detection Heterogeneous Information fusion method according to claim 1, which is characterized in that initial described in step 1
Change, specific as follows:
Step 1.1, original definition:
Define SUiFor detection node set, i=1,2 ..., M, wherein SUiThe detection node for being i for number, i is node serial number；
SUiFor the node set for reporting complete detection data, i=1,2 ..., K, SUiFor the node set for reporting local detection result, i
=K+1, K+2 ..., M；
Definition FC is cooperation detection fusion center；R=[R1,R2,...,RM] it is that each node reports information to the number of fusion center
According to transmission rate；τri_hFor the time that i-th of cooperation detection node reports local detection resulting schema to consume, wherein i is node
Number；τri_sIt is the time that i-th of cooperation detection node reports complete pattern data detection consumption, wherein i is node serial number；τs
It is that each node carries out detecting the consumed time；τrIt is that each node reports the time consumed by information to fusion center；
Step 1.2, fusion mode initialization: each node random selection reports information pattern, may be selected to report local detection knot
Fruit reports complete detection data to fusion center to fusion center, or selection.
4. cooperation detection Heterogeneous Information fusion method according to claim 1, which is characterized in that environment described in step 2
Acquisition of information, specific as follows:
Step 2.1 obtains detection channel conditions: each node obtains itself to the quality of wireless channel situation between signal source；
Step 2.2 obtains reporting channel situation: each node obtains itself to the quality of wireless channel shape between fusion center
Condition.
5. cooperation detection Heterogeneous Information fusion method according to claim 1, which is characterized in that fusion described in step 3
Method determines, specific as follows:
Step 3.1, parameter setting: according to detection accuracy demand, Testing index is set；Setting reports required for local detection result
Quantizing bit number；
Step 3.2 determines amalgamation judging rule: according to detection accuracy demand and cooperation detection wireless environment, setting amalgamation judging
Rule；
Fusion center carries out cooperation detection judgement using OR, specifically: if there is more than one cooperation detection node decision signal
Source exists, then fusion center has decision signal source；
Monitoring probability of the system to signal source signal are as follows:
Wherein,It is comprehensive detection probability of the fusion center to signal source；Pd_lIt is each detection node itself to signal source
Detection probability, M are cooperation detection interstitial contents；
Step 3.3, setting local detection thresholding: decision gate when each cooperation detection node detects signal source is calculated
Limit, mathematical formulae are as follows:
Wherein, λlIt is local detection threshold value；γ is signal power to noise power ratio value of the signal source to detection node；It is in
Heart limit theory, the mean value for the Gaussian Profile probability density function that multi signal synthesis statistics is formed；N is detection node to signal source
The sampling number of signal；Q-1() is inverse function, original function are as follows:
The detection probability that step 3.4, calculating will report each node of complete detection data to be summarized:
Wherein, K is the interstitial content for reporting complete detection data；λKIt is to merge the complete detection data that K node reports to carry out letter
The decision threshold of number source state judgement；Pd_KIt is to merge the complete detection data that K node reports to carry out the judgement of signal source state
Detection probability；
Synthesis false-alarm probability at step 3.5, calculating fusion center:
Wherein,It is the signal source detection false-alarm probability at fusion center, i.e. signal source does not issue signal, but fusion center
But probability existing for its signal is adjudicated；It is the signal source detection probability at fusion center, i.e. signal source has issued signal, melts
Also probability existing for its signal is adjudicated in conjunction center；
Step 3.6, the fusion mode for determining each node:
Cooperative nodes reported data is calculated to the time needed for fusion center:
Wherein, R=[R1,R2,...,RM] it is that each node reports information to the message transmission rate of fusion center；τri_hIt is i-th
The time that a cooperation detection node reports local detection resulting schema to consume, wherein i is node serial number；τri_sIt is i-th of collaboration
Detection node reports the time of complete pattern data detection consumption, and wherein i is node serial number；τsIt is that each node carries out detection institute
The time of consumption；F is sample frequency of the node to signal source；τrWhen being that each node reports consumed by information to fusion center
Between.
6. cooperation detection Heterogeneous Information fusion method according to claim 1, which is characterized in that collaboration described in step 4
Detection judgement, specific as follows:
Detection probability, false-alarm probability and the detection time requirement reached as needed, selectes integration program, determination reports complete inspection
The node of measured data and the node for reporting local detection result, then each node carries out signal sampling or local judgement, then will
Information reporting converges to fusion center, and fusion center calculates cooperation detection result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810600479.0A CN108964804B (en) | 2018-06-12 | 2018-06-12 | Method for cooperatively detecting heterogeneous information fusion |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810600479.0A CN108964804B (en) | 2018-06-12 | 2018-06-12 | Method for cooperatively detecting heterogeneous information fusion |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108964804A true CN108964804A (en) | 2018-12-07 |
| CN108964804B CN108964804B (en) | 2021-01-15 |
Family
ID=64488349
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810600479.0A Active CN108964804B (en) | 2018-06-12 | 2018-06-12 | Method for cooperatively detecting heterogeneous information fusion |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108964804B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030014233A1 (en) * | 1999-07-14 | 2003-01-16 | Rappaport Theodore S. | System for the three-dimensional display of wireless communication system performance |
| CN102571241A (en) * | 2012-02-20 | 2012-07-11 | 江苏新大诚信息技术有限公司 | Improved double-threshold cooperative spectrum sensing method |
| CN102945362A (en) * | 2012-10-18 | 2013-02-27 | 中国科学院计算技术研究所 | Isomerous data fusion based coordinated gesture recognition method and system of sensor |
-
2018
- 2018-06-12 CN CN201810600479.0A patent/CN108964804B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030014233A1 (en) * | 1999-07-14 | 2003-01-16 | Rappaport Theodore S. | System for the three-dimensional display of wireless communication system performance |
| CN102571241A (en) * | 2012-02-20 | 2012-07-11 | 江苏新大诚信息技术有限公司 | Improved double-threshold cooperative spectrum sensing method |
| CN102945362A (en) * | 2012-10-18 | 2013-02-27 | 中国科学院计算技术研究所 | Isomerous data fusion based coordinated gesture recognition method and system of sensor |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108964804B (en) | 2021-01-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105163326B (en) | A kind of cell clustering method and system based on wireless network traffic feature | |
| CN103906109B (en) | A kind of mobile communication system interference investigation method and apparatus | |
| CN107113635A (en) | Method and apparatus for determining cell status to adjust antenna configuration parameters | |
| CN107920362A (en) | A kind of LTE network performance estimating method based on film micro area | |
| CN106060846A (en) | Method of collecting and displaying wireless network performance parameters measured based on mobile terminal | |
| CN106533623B (en) | Across protocol communication method and device | |
| CN103987056A (en) | Wireless network telephone traffic prediction method based on big-data statistical model | |
| CN109286959A (en) | A kind of heterogeneous wireless network vertical handoff method based on analytic hierarchy process (AHP) | |
| CN105916172A (en) | Information reporting method, terminal device and system | |
| CN105188074B (en) | Control method, device and the base station of cell signal | |
| CN105120477B (en) | A kind of mobile network optimization method and system | |
| Feng et al. | A link quality prediction method for wireless sensor networks based on XGBoost | |
| CN103117820A (en) | Reliability-based weighted collaboration spectrum detection method | |
| CN103747474B (en) | A kind of method that assessment network structure problem area is calculated by measurement report | |
| CN105517070A (en) | User usage habit-based heterogeneous network switching method | |
| CN103281142A (en) | Energy detection method and device combining time domain double thresholds and frequency domain variable point number | |
| CN106162720A (en) | A kind of cognition wireless self-organized network nodes stability assessment method based on multiple attribute decision making (MADM) | |
| CN104467997A (en) | Terminal energy-saving method and device based on wireless signal intensity prediction | |
| CN106714189A (en) | Method and device for analyzing cell over coverage | |
| CN105338186A (en) | Context awareness-based Android mobile terminal power management method | |
| CN104684004A (en) | Complex wireless communication network operation quality evaluation method based on fuzzy analysis | |
| CN108964804A (en) | A kind of cooperation detection Heterogeneous Information fusion method | |
| CN105684493B (en) | A kind of method and apparatus of handoff parameter optimization | |
| CN116341705A (en) | Long-period memory network water quality parameter prediction method based on sparse label | |
| Jaiswal et al. | Deep Transfer Learning Based Radio Map Estimation for Indoor Wireless Communications |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |