CN104540218A - Effective filtering method for WIFI signals - Google Patents
Effective filtering method for WIFI signals Download PDFInfo
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- CN104540218A CN104540218A CN201410809070.1A CN201410809070A CN104540218A CN 104540218 A CN104540218 A CN 104540218A CN 201410809070 A CN201410809070 A CN 201410809070A CN 104540218 A CN104540218 A CN 104540218A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/74—Address processing for routing
- H04L45/745—Address table lookup; Address filtering
- H04L45/7453—Address table lookup; Address filtering using hashing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/50—Queue scheduling
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- Computer Networks & Wireless Communication (AREA)
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- Mobile Radio Communication Systems (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
The invention relates to the technical field of wireless communication, in particular to an effective filtering method for WIFI signals. The effective filtering method includes the following steps that firstly, data of all sampling points of one WIFI source are transformed into a wireless signal index queue, an index is the distance of two sampling points, and an index value is the probability that the signal intensity of two sampling points is equal; secondly, the inertia moment of the wireless signal index queue is calculated; thirdly, an inertia moment threshold value is set, wireless signals in which the inertia moment is smaller than or equal to the inertia moment threshold value remain in the index queue, and the wireless signals in which the inertia moment is larger than the inertia moment threshold value are removed from the index queue. Before a positioning method is executed, the WIFI signals with the larger inertia moment in the queue are removed, the large-range WIFI and the mobile WIFI can be effectively removed, and the precision of subsequent positioning of the WIFI is improved.
Description
Technical field
The present invention relates to wireless communication technology field, be specifically related to a kind of WIFI signal validity filter method.
Background technology
In the indoor environment without gps signal, how to carry out the focal issue that effective location is location application field, it has important value in the field such as LBS, indoor navigation.Due to popularizing of WIFI in modern city, adopting WIFI signal to position is generally a kind of and effective method, because WIFI signal has MAC, ID does not repeat, limited (the WIFI information source of signal cover, its effective range is generally no more than 100 meters) feature, make the WIFI signal relying on WIFI equipment to receive carry out the method for estimated position, the positioning precision within 100 meters can be obtained.But, along with the development of WIFI equipment, start to occur WIFI and mobile WIFI on a large scale: typical WIFI is on a large scale as the public WIFI in megastore, campus WIFI, or the community WIFI even city WIFI that the operator such as mobile provides, it only has a MAC ID but coverage is very wide, and estimation obtains Probability Area scope is also very wide therefore to utilize this kind of WIFI signal on a large scale to position, and causes positioning precision to decline; Typical mobile WIFI has special mobile WIFI equipment and mobile phone focus to share, and the position due to WIFI information source is not fixing, therefore positions according to this kind of WIFI signal and likely causes very large position error.Due to affected by environment, the signal strength signal intensity normally causing some WIFI source to receive in multiple different reception place due to Structure in Complex Structure is identical, and the insensitive WIFI source of such positional change even is also unfavorable for the raising of position positioning precision.
Therefore in order to improve the precision of WIFI location, need to judge the validity of WIFI signal to locating effect, the present invention is for increasing WIFI positioning precision, the validity computational methods of invention WIFI data, according to calculating the validity obtained, filter out when locating and have the WIFI on a large scale of negative effect, mobile WIFI source and the insensitive WIFI in position for locating effect, thus improve the precision of follow-up WIFI location.The inventive method independently carries out validity filter method to the WIFI signal of sampling in database, can be combined, help these WIFI localization methods to filter invalid WIFI source data, improve positioning precision with any WIFI localization method such as fingerprint matching, TOA.
Summary of the invention
Solve the problems of the technologies described above, the invention provides a kind of WIFI signal validity filter method, specifically judging that WIFI signal is positioned with method validity proposing structure wireless signal index queue, with the distance between certain WIFI sampled point, as the index of wireless signal strength queue, with diverse location signal equal probability for index value.Then with the criterion value of index queue the moment of inertia as this WIFI signal validity.Execution localization method before, remove the WIFI signal that queue the moment of inertia is larger, can effectively remove on a large scale with mobile WIFI, improve follow-up WIFI locate precision.
In order to achieve the above object, the technical solution adopted in the present invention is, a kind of WIFI signal validity filter method, comprises the following steps:
S1: all sampling numbers in a WIFI source are become a wireless signal index queue according to reincarnation, index is the distance of two sampled points, and index value is two sampled point signal strength signal intensity equal probability,
S2: the moment of inertia calculating wireless signal index queue,
S3: setting the moment of inertia threshold value, and the wireless signal of the moment of inertia≤the moment of inertia threshold value is retained in during index lines up, the wireless signal of the moment of inertia > the moment of inertia threshold value is lined up middle rejecting from index.
Further, in described S1, collect in WIFI signal database and have N number of WIFI source, the MAC Address list in corresponding WIFI source is { MAC
1, MAC
2..., MAC
n, there is NUM in each WIFI source
i(i=1,2,3 ... N) individual sampled point { P
1, P
2, P
3..., P
nUMi, each sampled point P comprises sampling longitude and latitude lat, and lon and sample point receive the signal strength signal intensity R in this WIFI source, P={lat, lon, R}.
Further, described S1 specifically comprises the following steps:
S11: take out a MAC from MAC Address list
i, and all sampled point { P that this MAC is corresponding
1, P
2, P
3..., P
nUMi, all sampled point marker bits are set to " not as basic point ",
S12: set up a Hash table buffer memory, as this MAC
iindex queue,
S13: take out the point that any one marker bit is " not as basic point " from sampled point, be designated as P
1, as comparing basic point, by P
1flag bit is set to " as basic point ", if do not have the point of " not as basic point " in sampled point, then represents this MAC
iall sampling numbers according to processed, enter step S2,
S14: take out the point that another marker bit is " not as basic point " from sampled point, be designated as P
2, according to the distance D that 2 calculation of longitude & latitude P1 and P2 put,
S15: judge P1 and P2 signal strength signal intensity whether R
1=R
2, as equal, then need to set up index, judge the index whether having D in Hash table, as then do not set up index D, and be worth its index value and be set to 1; If any the index value E then taking out index D, upgrade index value E=E+1, and the index value after renewal is deposited go back to the index D place of Hash table, enter S16, if not etc., then directly enter S16,
S16: judge whether the point that circulation takes " not as basic point ", if do not had, then return step S14, if taken, then return S13,
S17: take out all index D
i(i=1,2,3 ... k), and the index value E of correspondence
i(i=1,2,3 ... k), by index value E
ibe converted into probable value P
i:
enter step S2 and calculate the moment of inertia.
Further, S2 is specially: the sampled signal the moment of inertia M according to the corresponding WIFI source of this MAC of wireless signal index probability calculation:
Further, S3 specifically comprises the following steps:
S31: set a validity threshold value, T=500, this value is through the optimal value that experiment repeatedly obtains, if M≤T, then this WIFI signal is effective for location, filtration flag bit will be had to be designated as 0, if M>T, then this WIFI signal can affect positioning precision, filtration flag bit will be had to be designated as 1, there is as encountered filtration flag bit to be 1 in follow-up location algorithm, then participate in positions calculations without this WIFI signal
S32: remove index queue, namely destroy Hash table buffer memory, return S31, process next MAC data, until all MAC data of MAC list have been processed, namely all WIFI signal have all filtered one time.
The present invention is by adopting technique scheme, and compared with prior art, tool has the following advantages:
Accompanying drawing explanation
Fig. 1 adopts common WIFI as sampling point distributions figure during WIFI source in embodiments of the invention.
Fig. 2 adopts mobile WIFI as sampling point distributions figure during WIFI source in embodiments of the invention.
Fig. 3 be adopt in embodiments of the invention on a large scale WIFI as sampling point distributions figure during WIFI source.
Fig. 4 adopts the insensitive WIFI in position as sampling point distributions figure during WIFI source in embodiments of the invention.
Embodiment
Now the present invention is further described with embodiment by reference to the accompanying drawings.
As a specific embodiment, a kind of WIFI signal validity filter method of the present invention, comprises the following steps:
S1: all sampling numbers in a WIFI source are become a wireless signal index queue according to reincarnation, index is the distance of two sampled points, and index value is two sampled point signal strength signal intensity equal probability,
S2: the moment of inertia calculating wireless signal index queue,
S3: setting the moment of inertia threshold value, and the wireless signal of the moment of inertia≤the moment of inertia threshold value is retained in during index lines up, the wireless signal of the moment of inertia > the moment of inertia threshold value is lined up middle rejecting from index.
In described S1, collect in WIFI signal database and have N number of WIFI source, the MAC Address list in corresponding WIFI source is { MAC
1, MAC
2..., MAC
n, there is NUM in each WIFI source
i(i=1,2,3 ... N) individual sampled point { P
1, P
2, P
3..., P
nUMi, each sampled point P comprises sampling longitude and latitude lat, and lon and sample point receive the signal strength signal intensity R in this WIFI source, P={lat, lon, R}.
Described S1 specifically comprises the following steps:
S11: take out a MAC from MAC Address list
i, MAC
irepresent the physical address in WIFI source, be the unique identification of the network equipment, namely maci represents a certain network device identity here, and all sampled point { P that this MAC is corresponding
1, P
2, P
3..., P
nUMi, all sampled point marker bits are set to " not as basic point ",
S12: set up a Hash table buffer memory, as this MAC
iindex queue,
S13: take out the point that any one marker bit is " not as basic point " from sampled point, be designated as P
1, as comparing basic point, by P
1flag bit is set to " as basic point ", if do not have the point of " not as basic point " in sampled point, then represents this MAC
icorresponding all sampling numbers, according to processed, enter step S2,
S14: take out the point that another marker bit is " not as basic point " from sampled point, be designated as P
2, according to the distance D that 2 calculation of longitude & latitude P1 and P2 put,
S15: judge P1 and P2 signal strength signal intensity whether R
1=R
2, as equal, then need to set up index, judge the index whether having D in Hash table, as then do not set up index D, and be worth its index value and be set to 1; If any the index value E then taking out index D, upgrade index value E=E+1, and the index value after renewal is deposited go back to the index D place of Hash table, enter S16, if not etc., then directly enter S16,
S16: judge whether the point that circulation takes " not as basic point ", if do not had, then return step S14, if taken, then return S13,
S17: take out all index D
i(i=1,2,3 ... k), and the index value E of correspondence
i(i=1,2,3 ... k), by index value E
ibe converted into probable value P
i:
enter step S2 and calculate the moment of inertia.
Further, S2 is specially: the sampled signal the moment of inertia M according to the corresponding WIFI source of this MAC of wireless signal index probability calculation:
The moment of inertia is less, illustrates at diverse location, this WIFI source occurs that signal equal probabilities is very low, then the difference of this relatively good embodiment position of WIFI signal intensity difference energy, is conducive to location; The moment of inertia is larger, illustrate at diverse location, this WIFI source occurs that signal equal probabilities is very high, namely it is all identical for receiving WIFI signal at diverse location, this WIFI source is just unfavorable for positioning can affect locating effect, belong to the insensitive WIFI in mobile WIFI, on a large scale WIFI or position, should remove.Enter S3, carry out validity filtration.
S3 specifically comprises the following steps:
S31: set a validity threshold value, T=500, this value is through the optimal value that experiment repeatedly obtains, if M≤T, then this WIFI signal is effective for location, filtration flag bit will be had to be designated as 0, if M>T, then this WIFI signal can affect positioning precision, and filtration flag bit will be had to be designated as 1, there is as encountered filtration flag bit to be 1 in follow-up location algorithm, then participate in positions calculations without this WIFI signal.
S32: remove index queue, namely destroy Hash table buffer memory, return S1, process next MAC data, until all MAC data of MAC list have been processed, namely all WIFI signal have all filtered one time.
Illustrate advantage of the present invention in conjunction with specific embodiments:
There are four WIFI source instances, get 6 sampled point methods of exhibiting processes respectively.Corresponding to common WIFI, mobile WIFI, on a large scale WIFI and the insensitive WIFI in position, as shown in the table:
By method step process, for common WIFI, through recycle ratio comparatively, sampled point P3={24.483848, 118.187151,-78db} and P4={24.483702, 118.187007,-78db} signal strength signal intensity is equal, therefore need to set up index, 2 distances are 21 meters, therefore setting up index is <D=21, E=1>, due to without the strong identical points of other signal, therefore follow-up can not newly-built or upgrade index queue, index queue is { <D=21, E=1>}, respective index probability is { <D=21, P=1>}.
For mobile WIFI, sampled point P2={24.483731,118.175156,-65db} and P6={24.486299,118.183064 ,-65db} signal strength signal intensities are equal, therefore need to set up index, 2 distances 850 meters, therefore setting up index is <D=850, E=1>; Sampled point P3={24.483634,118.174394 ,-62db} and P3={24.483634,118.174394 ,-62db} signal strength signal intensities are equal, therefore need to set up index, 2 distances 980 meters, therefore setting up index is <D=980, E=1>.Index queue is { <D=850, E=1>, <D=980, E=1>}, respective index probability is { <D=850, P=0.5>, <D=980, P=0.5>}.
In like manner, for WIFI on a large scale, the wireless signal index queue set up is { <D=650, E=1>, <D=920, E=1>, <D=600, E=1>} respective index probability is { <D=650, P=0.333>, <D=920, P=0.333>, <D=600, P=0.333>}
For the insensitive WIFI in position, through recycle ratio comparatively, sampled point P2={24.475561,118.141184 ,-83db} and P4={24.475629,118.14142,-83db} intensity is identical, 2 distances are 25 meters, therefore set up index <D=25, E=1>; P1={24.475524,118.141069 ,-82db} and P5={24.475461,118.141313-82db} intensity is identical, and 2 distances are also 25 meters, therefore the index value of D=25 are updated to 2, namely index becomes <D=25, E=2>.In like manner set up or upgrade the right index of other signal identical point, finally set up index queue for { <D=19, E=1>, <D=37, E=1>, <D=25, E=2>, <D=23, E=2>} respective index probability is { <D=19, P=0.167>, <D=37, P=0.167>, <D=25, P=0.333>, <D=23, P=0.333>}
The probability index of above-mentioned four WIFI source sampling points, by its moment of inertia of formulae discovery described in S2, and with T=500 threshold filtering, obtains result as following table:
Can see that mobile WIFI, on a large scale WIFI, the insensitive WIFI in position are by setting up wireless signal index queue, calculate the moment of inertia after being converted to index probability, because inertia values is greater than filtering threshold, have therefore been filtered.These there are the WIFI signal data of deterioration impact on locating effect, remove in follow-up comparison, effectively can improve the precision that follow-up WIFI locates.
Although specifically show in conjunction with preferred embodiment and describe the present invention; but those skilled in the art should be understood that; not departing from the spirit and scope of the present invention that appended claims limits; can make a variety of changes the present invention in the form and details, be protection scope of the present invention.
Claims (5)
1. a WIFI signal validity filter method, is characterized in that: comprise the following steps:
S1: all sampling numbers in a WIFI source are become a wireless signal index queue according to reincarnation, index is the distance of two sampled points, and index value is two sampled point signal strength signal intensity equal probability,
S2: the moment of inertia calculating wireless signal index queue,
S3: setting the moment of inertia threshold value, and the wireless signal of the moment of inertia≤the moment of inertia threshold value is retained in during index lines up, the wireless signal of the moment of inertia > the moment of inertia threshold value is lined up middle rejecting from index.
2. a kind of WIFI signal validity filter method according to claim 1, is characterized in that: in described S1, and collecting in WIFI signal database has N number of WIFI source, and the MAC Address list in corresponding WIFI source is { MAC
1, MAC
2..., MAC
n, there is NUM in each WIFI source
i(i=1,2,3 ... N) individual sampled point { P
1, P
2, P
3..., P
nUMi, each sampled point P comprises sampling longitude and latitude lat, and lon and sample point receive the signal strength signal intensity R in this WIFI source, P={lat, lon, R}.
3. a kind of WIFI signal validity filter method according to claim 2, is characterized in that: described S1 specifically comprises the following steps:
S11: take out a MAC from MAC Address list
i, MAC
irepresenting the physical address in WIFI source, is the unique identification of the network equipment. namely maci represents a certain network device identity here, and all sampled point { P that this MAC is corresponding
1, P
2, P
3..., P
nUMi, all sampled point marker bits are set to " not as basic point ",
S12: set up a Hash table buffer memory, as this MAC
iindex queue,
S13: take out the point that any one marker bit is " not as basic point " from sampled point, be designated as P
1, as comparing basic point, by P
1flag bit is set to " as basic point ", if do not have the point of " not as basic point " in sampled point, then represents this MAC
icorresponding all sampling numbers, according to processed, enter step S2,
S14: take out the point that another marker bit is " not as basic point " from sampled point, be designated as P
2, according to the distance D that 2 calculation of longitude & latitude P1 and P2 put,
S15: judge P1 and P2 signal strength signal intensity whether R
1=R
2, as equal, then need to set up index, judge the index whether having D in Hash table, as then do not set up index D, and be worth its index value and be set to 1; If any the index value E then taking out index D, upgrade index value E=E+1, and the index value after renewal is deposited go back to the index D place of Hash table, enter S16, if not etc., then directly enter S16,
S16: judge whether the point that circulation takes " not as basic point ", if do not had, then return step S14, if taken, then return S13,
S17: take out all index D
i(i=1,2,3 ... k), and the index value E of correspondence
i(i=1,2,3 ... k), by index value E
ibe converted into probable value P
i:
enter step S2 and calculate the moment of inertia.
4. a kind of WIFI signal validity filter method according to claim 3, is characterized in that: S2 is specially: the sampled signal the moment of inertia M according to the corresponding WIFI source of this MAC of wireless signal index probability calculation:
5. a kind of WIFI signal validity filter method according to claim 2, is characterized in that: S3 specifically comprises the following steps:
S31: set a validity threshold value, T=500, if M≤T, then this WIFI signal is effective for location, and filtration flag bit will be had to be designated as 0, if M>T, then this WIFI signal can affect positioning precision, and filtration flag bit will be had to be designated as 1,
S32: remove index queue, namely destroys Hash table buffer memory, returns S31, process next MAC data, until all MAC data of MAC list have been processed, and process ends.
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| CN108419253A (en) * | 2018-01-18 | 2018-08-17 | 北京三快在线科技有限公司 | A kind of location determining method, device, electronic equipment and readable storage medium storing program for executing |
| CN108419253B (en) * | 2018-01-18 | 2019-11-22 | 北京三快在线科技有限公司 | A kind of location determining method, device, electronic equipment and readable storage medium storing program for executing |
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| CN113630719A (en) * | 2021-08-06 | 2021-11-09 | 恒鸿达科技有限公司 | Method, device, equipment and medium for identifying mobile wifi signal |
| CN113852913A (en) * | 2021-08-06 | 2021-12-28 | 恒鸿达科技有限公司 | Low-power-consumption indoor and outdoor positioning method and device based on mobile wifi identification |
| CN113852913B (en) * | 2021-08-06 | 2024-05-14 | 恒鸿达科技有限公司 | Low-power-consumption indoor and outdoor positioning method and device based on mobile wifi identification |
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