CN104467991B - A kind of passive personnel's detection method and system based on WiFi physical layer informations - Google Patents
A kind of passive personnel's detection method and system based on WiFi physical layer informations Download PDFInfo
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- CN104467991B CN104467991B CN201410728849.0A CN201410728849A CN104467991B CN 104467991 B CN104467991 B CN 104467991B CN 201410728849 A CN201410728849 A CN 201410728849A CN 104467991 B CN104467991 B CN 104467991B
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Abstract
The invention discloses a kind of passive personnel's detection method based on WiFi physical layer informations.Wherein method is comprised the following steps：Obtain the channel condition information average of calibration phase；The channel condition information that detection-phase at least one presets sampling time point is obtained, the subcarrier weight and channel condition information average of detection-phase is calculated；According to the angular spectrum of the channel condition information mean value computation calibration phase of subcarrier weight and calibration phase, and the angular spectrum of the channel condition information mean value computation detection-phase according to weight and detection-phase；Someone is judged whether according to the similarity of the calibration phase angular spectrum and detection-phase angular spectrum.Present invention achieves the impact of multipath transmisstion is reduced by the simplified deployment on pervasive devices, detection sensitivity is improved.
Description
Technical field
The present embodiments relate to mobile and general fit calculation field, more particularly to a kind of quilt based on WiFi physical layer informations
Moving member's detection method and system.
Background technology
The development of wireless technology causes wireless channel to be changed into the carrier of passive person sensitive by single communication media.Nothing
The principle of the passive person sensitive of line is by the fade-out that causes due to User Activity and anti-is analyzed in signal from receiving
Penetrate, to detect, position or follow the trail of user, and user need not carry any wireless device.It is based on Infrared Detectorss, can wears with tradition
The technical scheme difference of equipment, video is worn, is set using the wireless basis of indoor widespread deployment based on wireless passive person sensitive
Apply, its working method is friendly, protect privacy of user, and partition wall or can work under dim light conditions.Except being applied to
Outside location Based service, the emerging fields such as gesture identification, man-machine interaction can be additionally used in based on wireless passive person sensitive.
For the wireless passive person sensitive's system of the deployment of environment indoors, it is necessary to consider the impact of multipath transmisstion.Due to wireless
Passive person sensitive's application assumes that user does not carry any wireless device, thus these applications need to first detect whether it is useful
Family is present.Passive type personnel detection it is spacious, exist it is relatively easy in the environment of clear-vision distance path.But indoor environment is usual
With complicated multipath transmisstion, these multipath transmisstions can cause approximate propagation model to fail, and fundamentally limit passively
The sensitivity of formula personnel detection and coverage.The adverse effect that multipath transmisstion is caused is eliminated for explicit, research worker is generally adopted
With special radar signal or special-purpose software radio platforms.It is that passive personnel's detection, existing method profit are realized on pervasive devices
Can only be detected whether with the presence of personnel on los path with the wireless link of dense deployment, but each of the links, this passive personnel
The deployment burden weight of detection, sensitivity are low.
The content of the invention
In consideration of it, a kind of the purpose of the present invention is to propose to passive personnel detection side of self adaptation based on WiFi physical layer informations
Method and system, to realize the impact of multipath transmisstion is reduced by the simplified deployment on pervasive devices, improve detection sensitivity.Be up to
This purpose, the present invention are employed the following technical solutions：
On the one hand, a kind of passive personnel's detection method based on WiFi physical layer informations, institute are embodiments provided
The method of stating comprises the steps：
Obtain the channel condition information average of calibration phase；
The channel condition information that detection-phase at least one presets sampling time point is obtained, the subcarrier of detection-phase is calculated
Weight and channel condition information average；
According to the angular spectrum of the channel condition information mean value computation calibration phase of subcarrier weight and calibration phase, Yi Jigen
According to the angular spectrum of the channel condition information mean value computation detection-phase of weight and detection-phase；
Someone is judged whether according to the similarity of the calibration phase angular spectrum and detection-phase angular spectrum.
Further, the subcarrier weight for calculating detection-phase, including：
The multipath factor of each subcarrier is calculated according to the channel condition information of the default sampling time point；
The subcarrier weight is calculated according to the multipath factor.
Further, the subcarrier weight for calculating detection-phase, including：
According to the channel condition information of the default sampling time point calculate each subcarrier the multipath factor and the time it is steady
Determine the factor；
The subcarrier weight is calculated according to the multipath factor and time stable factor.
Further, the channel condition information according to the default sampling time point calculates the multipath of each subcarrier
The factor, including：
The los path power of each subcarrier is calculated, computing formula is：
Wherein, PL(fk) for frequency be fkSubcarrier los path power, | h
(0)|2For los path general power；
According to the los path power calculation multipath factor of each subcarrier, computing formula is：
Wherein μkIt is f for frequencykSubcarrier the multipath factor, | H (f) |2Believe for channel status
The general power of breath.
Further, the channel condition information according to the default sampling time point calculates the time of each subcarrier
Stable factor, including：
Judge the multipath factor of each subcarrier in the channel condition information of sampling time point whether higher than the sampling time
The median of the channel condition information sub-carriers multipath factor of point；
When the multipath factor of the subcarrier is higher than the channel condition information sub-carriers multipath factor of the sampling time point
Median when, the time stable factor of the subcarrier is added 1；
When the multipath factor of the subcarrier is not higher than the channel condition information sub-carriers multipath of the sampling time point
During the median of the factor, the time stable factor of the subcarrier is made to keep constant；
Specific formula for calculation is：
Wherein, rkIt is f for frequencykSubcarrier time stable factor, M be sampling time point quantity,For m-th
The median of the channel condition information sub-carriers multipath factor of sampling time point,For normalized time stable factor.
Further, the computing formula according to the multipath factor calculating subcarrier weight is：
Wherein, w (fk) for frequency be fkSubcarrier weight,It is f for frequencykSubcarrier multipath factor average.
Further, the computing formula that the subcarrier weight is calculated according to the multipath factor and time stable factor
For：
Wherein, w (fk),It is f for frequencykSubcarrier weight,It is f for frequencykSubcarrier multipath factor average.
Further, also include：
Obtain the path weight value of calibration phase；
The channel condition information mean value computation calibration phase according to path weight value, subcarrier weight and calibration phase
Angular spectrum；And, according to the angular spectrum of the channel condition information mean value computation detection-phase of subcarrier weight and detection-phase.
Further, the angular spectrum of the angular spectrum and detection-phase according to the calibration phase similarity judge be
No someone, including：
Calculate the Euclidean distance of the angular spectrum of the angular spectrum and detection-phase of the calibration phase；
When the Euclidean distance is more than predetermined threshold value, then it is judged to someone；
When the Euclidean distance is less than or equal to predetermined threshold value, then it is judged to nobody.
On the other hand, a kind of passive personnel's detecting system based on WiFi physical layer informations is embodiments provided,
Including：
Transmitter and receiver；
Wherein, the transmitter is used to launch WiFi signal；The receiver is used to receive the transmitter transmitting
WiFi signal, and channel condition information is extracted from the signal, calculate the subcarrier weight, path weight value, angular spectrum, root
Judge in area to be monitored, there is no user according to calibration phase angular spectrum and detection-phase angular spectrum similarity；The transmitter and institute
Receiver is stated by WiFi wireless LAN communications.
The passive personnel's detection method based on WiFi physical layer informations provided in the embodiment of the present invention and system, by obtaining
The channel condition information average of calibration phase is taken, the channel status letter of sampling time point is preset according to detection-phase at least one
Breath, calculates the subcarrier weight and channel condition information average of detection-phase, further according to subcarrier weight and the letter of calibration phase
The angular spectrum of channel state information mean value computation calibration phase, and it is equal according to the channel condition information of weight and detection-phase
Value calculates the angular spectrum of detection-phase, judges finally by the similarity of comparison calibration stage point spectrum and detection-phase angular spectrum
Whether someone.Present invention simplified deployment on pervasive devices reduces the impact of multipath transmisstion, improves passive personnel's detection
Sensitivity, expands the detection range of passive personnel's detection.
Description of the drawings
In order to clearly illustrate the technical scheme of exemplary embodiment of the present, below to describing needed for embodiment
Accompanying drawing to be used does a simple introduction.Obviously, the accompanying drawing introduced is the present invention a part of embodiment to be described
Accompanying drawing, rather than the accompanying drawing of whole, for those of ordinary skill in the art, on the premise of not paying creative work, may be used also
To obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is the flow process of the passive personnel's detection method based on WiFi physical layer informations that the embodiment of the present invention one is provided
Figure；
Fig. 2 is the flow process of the passive personnel's detection method based on WiFi physical layer informations that the embodiment of the present invention two is provided
Figure；
Fig. 3 is the flow process of the passive personnel's detection method based on WiFi physical layer informations that the embodiment of the present invention three is provided
Figure；
Fig. 4 is the flow process of the passive personnel's detection method based on WiFi physical layer informations that the embodiment of the present invention four is provided
Figure；
Fig. 5 is the flow process of the passive personnel's detection method based on WiFi physical layer informations that the embodiment of the present invention five is provided
Figure；
Fig. 6 is the structural frames of the passive personnel's detecting system based on WiFi physical layer informations that the embodiment of the present invention six is provided
Diagram is intended to.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below with reference to the embodiment of the present invention in it is attached
Figure, by specific embodiment, is fully described by technical scheme.Obviously, described embodiment is of the invention
A part of embodiment, rather than the embodiment of whole, based on embodiments of the invention, those of ordinary skill in the art are not doing
The every other embodiment obtained on the premise of going out creative work, each falls within protection scope of the present invention.
Embodiment one
Fig. 1 gives the flow process of the passive personnel's detection method based on WiFi physical layer informations of the offer of the present embodiment one
Figure.The embodiment of the present invention is applied to the perception of the passive personnel of indoor wireless, can pass through one transmitting terminal of simplified deployment and one
Receiving terminal is realized.The method that the present embodiment is provided can be by being held based on passive personnel's detection means of WiFi physical layer informations
OK, the device can be realized by way of hardware and/or software, and can be typically integrated in the receiver for receiving wireless signal
In equipment.As shown in figure 1, the method includes following operation：
110th, obtain the channel condition information average of calibration phase.
In the operation, the calibration phase refer to detected space nobody when state.The channel status of the calibration phase
Information (CSI, Channel State Information) average refer to when it is indoor nobody when, according at least one reception antenna
The channel condition information that the channel condition information gathered from indoor local area network physical layer information in default sampling time point is calculated
Meansigma methodss.
120th, the channel condition information that detection-phase at least one presets sampling time point is obtained, calculates the son of detection-phase
Weight and channel condition information average.
In the operation, for WLAN information transmission, channel includes many sub-channels, and defeated one is uploaded per sub-channels
The individual subcarrier for carrying data, such as each channel condition information include K subcarrier.By the detection-phase of acquisition extremely
The channel condition information of a few default sampling time point calculates the channel condition information average and K subcarrier of detection-phase
Weight.
130th, the angular spectrum according to the channel condition information mean value computation calibration phase of subcarrier weight and calibration phase, with
And the angular spectrum of the channel condition information mean value computation detection-phase according to subcarrier weight and detection-phase.
Wherein, angular spectrum is the important statistical property of wireless channel, it directly affects channel time-dependent behavior and
Spatial correlation characteristic, the angular spectrum of wireless channel describe the spatial characteristics of the average power for receiving signal.Angular spectrum can
To pass through Multiple Signal Classification (MUSIC, Multiple Signal according to subcarrier weight and channel condition information average
Classification) algorithm is calculated.
140th, someone is judged whether according to the similarity of calibration phase angular spectrum and detection-phase angular spectrum.
Specifically, the similarity of calibration phase angular spectrum and detection-phase angular spectrum is calculated, by above-mentioned similarity and default
Threshold value is compared, and judges in detected space whether someone according to comparative result.
Passive personnel's detection method based on WiFi physical layer informations provided in an embodiment of the present invention, by obtaining calibration rank
The channel condition information average of section, presets the channel condition information of sampling time point according to detection-phase at least one, calculates inspection
The subcarrier weight and channel condition information average in survey stage, further according to subcarrier weight and the channel condition information of calibration phase
The angular spectrum of mean value computation calibration phase, and detected according to the channel condition information mean value computation of weight and detection-phase
The angular spectrum in stage, judges whether someone finally by the similarity of comparison calibration stage point spectrum and detection-phase angular spectrum,
Deployment burden weight is solved, the low problem of sensitivity improves the sensitivity of passive personnel's detection, expands passive personnel's detection
Detection range.
Embodiment two
Fig. 2 is a kind of passive personnel's detection method based on WiFi physical layer informations that the embodiment of the present invention two is provided.This
Embodiment is optimized based on above-described embodiment one, in the present embodiment, it is preferred that operation is calculated the son of detection-phase
Weight, is optimized for：The multipath factor of each subcarrier is calculated according to the channel condition information of the default sampling time point；
The subcarrier weight is calculated according to the multipath factor.
Accordingly, the method for the present embodiment includes following operation：
210th, obtain the channel condition information average of calibration phase；
220th, the channel condition information that detection-phase at least one presets sampling time point is obtained, calculates the letter of detection-phase
Channel state information average；
230th, the multipath factor of each subcarrier is calculated according to the channel condition information of the default sampling time point；
Specifically, channel condition information is extracted in each default sampling time point, channel condition information is carried out quickly
Fourier transformation obtains channel impulse response, and first path h (0) that channel impulse is rung is used as the approximate of total sight distance path amplitudes
Value.Total sight distance path amplitudes square be equal to los path general power, los path general power is distributed to into each sub- load by frequency
Ripple.As the signal power for receiving is inversely proportional to transmission frequency, therefore, the los path power calculation of the subcarrier that frequency is is public
Formula is：
Wherein, PL(fk) for frequency be fkSubcarrier los path power, | h (0) |2For los path general power.
According to the los path power calculation multipath factor of each subcarrier, computing formula is：
Wherein μkIt is f for frequencykSubcarrier the multipath factor, | H (f) |2For the general power of channel condition information.
240th, the subcarrier weight is calculated according to the multipath factor；
Specifically, according to the computing formula of the multipath factor calculating subcarrier weight it is：
Wherein, w (fk) for frequency be fkSubcarrier weight,It is f for frequencykSubcarrier multipath factor average,Computing formula beM is sampling time point quantity,For m-th sampling time point
Frequency be fkSubcarrier the multipath factor.
250th, the angular spectrum according to the channel condition information mean value computation calibration phase of subcarrier weight and calibration phase, with
And the angular spectrum of the channel condition information mean value computation detection-phase according to weight and detection-phase；
260th, someone is judged whether according to the similarity of the calibration phase angular spectrum and detection-phase angular spectrum.
Passive personnel's detection method based on WiFi physical layer informations provided in an embodiment of the present invention, by obtaining calibration rank
The channel condition information average of section, presets the channel condition information of sampling time point according to detection-phase at least one, calculates inspection
The channel condition information average in survey stage, and the multipath factor of each subcarrier calculated according to detection-phase is each subcarrier
Weights are given, further according to the angular spectrum of the channel condition information mean value computation calibration phase of subcarrier weight and calibration phase, with
And the angular spectrum of the channel condition information mean value computation detection-phase according to weight and detection-phase, finally by comparing school
The similarity of quasi- stage point spectrum and detection-phase angular spectrum judges whether someone, solves deployment burden weight, and sensitivity is low
Problem, improves the sensitivity of passive personnel's detection, expands detection range.
Embodiment three
Fig. 3 is a kind of passive personnel's detection method based on WiFi physical layer informations that the embodiment of the present invention three is provided.This
Embodiment is optimized based on above-described embodiment two, in the present embodiment, it is preferred that operation is calculated the son of detection-phase
Weight, is optimized for：The multipath factor of each subcarrier is calculated according to the channel condition information of the default sampling time point
With time stable factor；The subcarrier weight is calculated according to the multipath factor and time stable factor.
Accordingly, the method for the present embodiment includes following operation：
310th, obtain the channel condition information average of calibration phase；
320th, the channel condition information that detection-phase at least one presets sampling time point is obtained, calculates the letter of detection-phase
Channel state information average；
330th, the multipath factor of each subcarrier is calculated according to the channel condition information of the default sampling time point；
Wherein, the calculating process of the multipath factor of each subcarrier is identical with embodiment two, no longer describes in detail herein.
340th, the time stable factor of each subcarrier is calculated according to the channel condition information of default sampling time point；
Specifically, the operation includes：
Judge the multipath factor of each subcarrier in the channel condition information of sampling time point whether higher than the sampling time
The median of the channel condition information sub-carriers multipath factor of point；
When the multipath factor of the subcarrier is higher than the channel condition information sub-carriers multipath factor of the sampling time point
Median when, the time stable factor of the subcarrier is added 1；
When the multipath factor of the subcarrier is not higher than the channel condition information sub-carriers multipath of the sampling time point
During the median of the factor, the time stable factor of the subcarrier is made to keep constant；
Specific formula for calculation is：
Wherein, rkIt is f for frequencykSubcarrier time stable factor, M be sampling time point quantity,For m
The median of the channel condition information sub-carriers multipath factor of individual sampling time point,For normalized time stable factor.
350th, subcarrier weight is calculated according to the multipath factor and time stable factor；
Specifically, according to the computing formula of the multipath factor and time stable factor calculating subcarrier weight it is：
Wherein, w (fk),It is f for frequencykSubcarrier weight,It is f for frequencykSubcarrier multipath factor average.
360th, the angular spectrum according to the channel condition information mean value computation calibration phase of subcarrier weight and calibration phase, with
And the angular spectrum of the channel condition information mean value computation detection-phase according to weight and detection-phase；
370th, someone is judged whether according to the similarity of the calibration phase angular spectrum and detection-phase angular spectrum.
Passive personnel's detection method based on WiFi physical layer informations provided in an embodiment of the present invention, by the multipath factor and
Time stable factor regulon weight, is that the multipath factor continues higher subcarrier and imparts bigger weights, further
Improve sensitivity and the accuracy of passive personnel's detection.
Example IV
Fig. 4 is a kind of passive personnel's detection method based on WiFi physical layer informations that the embodiment of the present invention four is provided.This
Embodiment is optimized based on the various embodiments described above, and accordingly, the method for the present embodiment includes following operation：
410th, obtain the channel condition information average of calibration phase；
420th, the channel condition information that detection-phase at least one presets sampling time point is obtained, calculates the son of detection-phase
Weight and channel condition information average；
430th, using the multiplied result of the channel condition information average and subcarrier weight of calibration phase as Multiple Signal Classification
The input of algorithm, calculates the angular spectrum of calibration phase；And, by the channel condition information average of detection-phase and subcarrier weight
Multiplied result as multi-signal sorting algorithm input, calculate detection-phase angular spectrum.
The multi-signal sorting algorithm is a kind of method based on matrix character spatial decomposition, and Multiple Signal Classification is calculated and can be carried
High direction finding resolution, can be adapted to the aerial array of arbitrary shape simultaneously.
440th, calculate the Euclidean distance of calibration phase angular spectrum and detection-phase angular spectrum；
450th, judge the Euclidean distance whether more than predetermined threshold value；
When Euclidean distance is more than predetermined threshold value, operation 460 is performed；Operation 470 is performed otherwise.
460th, it is judged to someone；
470th, it is judged to nobody.
Wherein, Euclidean distance is a distance definition for generally adopting, refer in an n-dimensional space between two points it is true away from
From, or the natural length of vector, i.e. distance of the point to origin.Euclidean distance in two and three dimensions space is exactly 2 points
Between actual range.The present embodiment estimating using Euclidean distance as similarity, algorithm is simple and calculating speed is fast.
Passive personnel's detection method based on WiFi physical layer informations provided in an embodiment of the present invention, by obtaining calibration rank
The channel condition information average of section, presets the channel condition information of sampling time point according to detection-phase at least one, calculates inspection
The subcarrier weight and channel condition information average in survey stage, recycles multi-signal sorting algorithm according to subcarrier weight and calibration
The angular spectrum of the channel condition information mean value computation calibration phase in stage, and according to the channel shape of weight and detection-phase
The angular spectrum of state information mean value computation detection-phase, finally by comparison calibration stage point spectrum and the phase of detection-phase angular spectrum
Judge whether someone like degree, solve deployment burden weight, the low problem of sensitivity improves the sensitivity of passive personnel's detection,
Expand the detection range of passive personnel's detection.In addition, the present embodiment is also by calculating calibration phase angular spectrum and detection-phase
The Euclidean distance of angular spectrum, and with estimating using Euclidean distance as similarity, algorithm is simple, and calculating speed is fast.
Embodiment five
Fig. 5 is a kind of passive personnel's detection method based on WiFi physical layer informations that the embodiment of the present invention five is provided.This
Embodiment is optimized on the basis of the various embodiments described above, and accordingly, the method for the present embodiment includes following operation：
510th, obtain the channel condition information average of calibration phase；
520th, obtain the path weight value of calibration phase；
The channel condition information average of the calibration phase of acquisition is input into the most, nobody is calculated using multi-signal sorting algorithm
When angular spectrum PS(θ), the path weight value of calibration phase and angular spectrum P when nobodyS(θ) it is reciprocal relation, concrete formula is：Wherein, PS(θ) angular spectrum when being nobody, paths of the w (θ) for calibration phase
Weight, θ are angle value.Angle, θ scope can be arranged according to concrete application environment by experimental calibration, and the present embodiment is exemplarily
Adopt parameter for：θmin=-60 ° and θmax=60 °.
As indoor environment has wall, furniture, the propagation of wireless signal is not only existed as passing in outdoor free space
, also there is the reflection path after wall reflection in the los path broadcast.Due to the power difference in different paths, los path
Power of the power more than other reflection paths, when path weight value is not considered, the passive personnel on los path are to receiving
Big is affected on received signal power when the impact of signal power is compared on reflection path, it is passive on los path to be thus in
Personnel are easily detected.Passive personnel on reflection path are more difficult to be detected.
530th, the channel condition information that detection-phase at least one presets sampling time point is obtained, calculates the son of detection-phase
Weight and channel condition information average；
540th, using the multiplied result of the channel condition information average and subcarrier weight of calibration phase as Multiple Signal Classification
The input of algorithm, calculates the angular spectrum of calibration phase；And, by the channel condition information average of detection-phase and subcarrier weight
Multiplied result as the input of multi-signal sorting algorithm, calculate the angular spectrum reference value of detection-phase, and by the angle for calculating
Degree spectrum reference value is multiplied by path weight value, obtains the angular spectrum of detection-phase.
The operation is by the weight in the different paths of detection-phase adjustment so that the weight of reflection path is larger, moving
Also receiving power can be affected greatly when member is on reflection path, so as to be more easily detected, therefore expands inspection
Survey scope.
550th, calculate the Euclidean distance of calibration phase angular spectrum and detection-phase angular spectrum；
560th, judge the Euclidean distance whether more than predetermined threshold value；
When Euclidean distance is more than predetermined threshold value, operation 570 is performed；Operation 580 is performed otherwise.
570th, it is judged to someone；
580th, it is judged to nobody.
Passive personnel's detection method based on WiFi physical layer informations provided in an embodiment of the present invention, by obtaining calibration rank
The channel condition information average and path weight value of section, presets the channel status letter of sampling time point according to detection-phase at least one
Breath, calculates the subcarrier weight and channel condition information average of detection-phase, further according to subcarrier weight and the letter of calibration phase
The angular spectrum of channel state information mean value computation calibration phase, and according to the letter of path weight value, subcarrier weight and detection-phase
The angular spectrum of channel state information mean value computation detection-phase, finally by comparison calibration stage point spectrum and detection-phase angular spectrum
Similarity judge whether someone, solve deployment burden weight, the low problem of sensitivity improves the sensitive of passive personnel detection
Degree, expands the detection range of passive personnel's detection；In addition, the present invention is also by calculating calibration phase angular spectrum and detection-phase
The Euclidean distance of angular spectrum, and with estimating using Euclidean distance as similarity, calculate simple；Simultaneously according to path weight value, son
The angular spectrum of the channel condition information mean value computation detection-phase of weight and detection-phase, equivalent to adding for reflection path
One larger weight, is more easily detected the passive personnel on reflection path, further expands detection range.
Embodiment six
Fig. 6 is the structural frames diagram of the passive personnel's detecting system based on WiFi physical layer informations that the present embodiment six is provided
It is intended to.As shown in fig. 6, the system includes：
Transmitter 61 and receiver 62；
Wherein, transmitter 61 is used to launch WiFi signal；Receiver 62 is used for the WiFi signal of the transmitting of receiver/transmitter 61,
And channel condition information is extracted from signal, calculate the subcarrier weight and channel condition information average of detection-phase；According to son
The angular spectrum of the channel condition information mean value computation calibration phase of weight and calibration phase, and according to subcarrier weight and
The angular spectrum of the channel condition information mean value computation detection-phase of detection-phase；According to calibration phase angular spectrum and detection-phase angle
Degree spectrum similarity judges there is no user in area to be monitored；Transmitter 61 and receiver 62 pass through WiFi wireless LAN communications.
The transmitter can be any transmitting equipment that can launch WiFi signal, and the receiver can any can receive institute
State the receiving device that transmitter launches WiFi signal.
Passive personnel's detecting system based on WiFi physical layer informations provided in an embodiment of the present invention, is used by receiver 12
In the WiFi signal of the transmitting of receiver/transmitter 11, and channel condition information is extracted from signal, calculate the subcarrier of detection-phase
Weight and channel condition information average；According to the channel condition information mean value computation calibration phase of subcarrier weight and calibration phase
Angular spectrum, and the angular spectrum of the channel condition information mean value computation detection-phase according to subcarrier weight and detection-phase；
Judge in area to be monitored, there is no user according to calibration phase angular spectrum and detection-phase angular spectrum similarity, improve moving
The sensitivity of member's detection, expands the detection range of passive personnel's detection.
Exemplarily, the WLAN of embodiment of the present invention indoor deployment can be adopted using IEEE 802.11a/g/n etc.
The wireless local of OFDM (Orthogonal Frequency Division Multiplexing, OFDM) technology
FidonetFido.The transmitter for adopting is indoor deployed wireless local network connecting point (Access Point, AP), and receiver is
It is mounted with the commercial notebook computer or mini computer of 5300 wireless network cards of Intel.
The passive personnel's detecting system based on WiFi physical layers that the present embodiment is provided belongs to same structure with embodiment of the method
Think, which implements process and refers to embodiment of the method, and here is omitted.The quilt based on WiFi physical layers that the present embodiment is provided
Moving member's detecting system can be used to perform the passive personnel detection side based on WiFi physical layers that any embodiment of the present invention is provided
Method, possesses corresponding functional module, realizes identical beneficial effect.
Above are only presently preferred embodiments of the present invention and the know-why used.The invention is not restricted to spy described here
Determine embodiment, the various significant changes that can carry out for a person skilled in the art, readjust and substitute all without departing from
Protection scope of the present invention.Therefore, although the present invention is described in further detail by above example, but this
It is bright to be not limited only to above example, without departing from the inventive concept, more other Equivalent embodiments can also be included,
And the scope of the present invention is determined by the scope of claim.
Claims (10)
1. a kind of passive personnel's detection method based on WiFi physical layer informations, it is characterised in that methods described includes following step
Suddenly：
Obtain the channel condition information average of calibration phase；
The channel condition information that detection-phase at least one presets sampling time point is obtained, the subcarrier weight of detection-phase is calculated
With channel condition information average；
According to the angular spectrum of the channel condition information mean value computation calibration phase of subcarrier weight and calibration phase, and according to son
The angular spectrum of the channel condition information mean value computation detection-phase of weight and detection-phase；
Wherein, using the multiplied result of the channel condition information average of calibration phase and subcarrier weight as multi-signal sorting algorithm
Input, calculate calibration phase angular spectrum；And, by the phase of the channel condition information average of detection-phase and subcarrier weight
Take advantage of result as the input of multi-signal sorting algorithm, calculate the angular spectrum of detection-phase；
Someone is judged whether according to the similarity of the calibration phase angular spectrum and detection-phase angular spectrum.
2. method according to claim 1, it is characterised in that the subcarrier weight of the calculating detection-phase, including：
The multipath factor of each subcarrier is calculated according to the channel condition information of the default sampling time point；
The subcarrier weight is calculated according to the multipath factor.
3. method according to claim 1, it is characterised in that the subcarrier weight of the calculating detection-phase, including：
According to the channel condition information of the default sampling time point calculate each subcarrier the multipath factor and the time it is stable because
Son；
The subcarrier weight is calculated according to the multipath factor and time stable factor.
4. method according to claim 2, it is characterised in that the channel status according to the default sampling time point
Information calculates the multipath factor of each subcarrier, including：
The los path power of each subcarrier is calculated, computing formula is：
Wherein, PL(fk) for frequency be fkSubcarrier los path power, | h (0) |2
For los path general power；
According to the los path power calculation multipath factor of each subcarrier, computing formula is：
Wherein μkIt is f for frequencykSubcarrier the multipath factor, | H (f) |2For the total of channel condition information
Power.
5. method according to claim 3, it is characterised in that the channel status according to the default sampling time point
Information calculates the time stable factor of each subcarrier, including：
Judge the multipath factor of each subcarrier in the channel condition information of sampling time point whether higher than the sampling time point
The median of the channel condition information sub-carriers multipath factor；
In the multipath factor of the subcarrier is higher than the channel condition information sub-carriers multipath factor of the sampling time point
During digit, the time stable factor of the subcarrier is added 1；
When the multipath factor of the subcarrier is not higher than the channel condition information sub-carriers multipath factor of the sampling time point
Median when, make the subcarrier time stable factor keep it is constant；
Specific formula for calculation is：
Wherein, rkIt is f for frequencykSubcarrier time stable factor, M be sampling time point quantity,Sample for m-th
The frequency of time point is fkSubcarrier the multipath factor,Channel condition information neutron for m-th sampling time point is carried
The median of the ripple multipath factor, r 'kFor normalized time stable factor.
6. method according to claim 4, it is characterised in that described that the subcarrier weight is calculated according to the multipath factor
Computing formula is：
Wherein, w (fk) for frequency be fkSubcarrier weight,It is f for frequencykSubcarrier multipath factor average, K for son load
The sum of ripple.
7. method according to claim 5, it is characterised in that described that institute is calculated according to the multipath factor and time stable factor
The computing formula for stating subcarrier weight is：
Wherein, w (fk) ' for frequency be fkSubcarrier weight,It is f for frequencykSubcarrier multipath factor average, K for son
The sum of carrier wave.
8. according to the arbitrary described method of claim 1-7, it is characterised in that also include：
Obtain the path weight value of calibration phase；
According to the angular spectrum of the channel condition information mean value computation calibration phase of subcarrier weight and calibration phase；And according to road
The angular spectrum of the channel condition information mean value computation detection-phase of footpath weight, subcarrier weight and detection-phase.
9. method according to claim 8, it is characterised in that the angular spectrum according to the calibration phase and detection rank
The similarity of the angular spectrum of section judges whether someone, including：
Calculate the Euclidean distance of the angular spectrum of the angular spectrum and detection-phase of the calibration phase；
When the Euclidean distance is more than predetermined threshold value, then it is judged to someone；
When the Euclidean distance is less than or equal to predetermined threshold value, then it is judged to nobody.
10. a kind of passive personnel's detecting system based on WiFi physical layer informations, it is characterised in that include：
Transmitter and receiver；
Wherein, the transmitter is used to launch WiFi signal；The receiver is used for the WiFi letters for receiving the transmitter transmitting
Number, and channel condition information is extracted from the signal, calculate the subcarrier weight and channel condition information average of detection-phase；
According to the angular spectrum of the channel condition information mean value computation calibration phase of subcarrier weight and calibration phase, and according to subcarrier
The angular spectrum of the channel condition information mean value computation detection-phase of weight and detection-phase；Wherein, by the channel shape of calibration phase
Input of the multiplied result of state information average and subcarrier weight as multi-signal sorting algorithm, calculates the angle of calibration phase
Spectrum；And, using the multiplied result of the channel condition information average of detection-phase and subcarrier weight as multi-signal sorting algorithm
Input, calculate detection-phase angular spectrum；Judge to be supervised according to calibration phase angular spectrum and detection-phase angular spectrum similarity
Surveying in region has no user；The transmitter and the receiver pass through WiFi wireless LAN communications.
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| CN107331136A (en) * | 2017-05-11 | 2017-11-07 | 深圳市斑点猫信息技术有限公司 | Indoor human body activity detection approach and system based on WiFi |
| CN107643544B (en) * | 2017-08-31 | 2020-08-18 | 深圳大学 | Method for automatically detecting metal |
| CN109617591B (en) * | 2019-01-21 | 2021-11-23 | 重庆邮电大学 | WiFi-based link-level moving target tracking method |
| CN112869734B (en) * | 2021-01-11 | 2022-10-21 | 乐鑫信息科技（上海）股份有限公司 | Wi-Fi human body detection method and intelligent device |
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