CN108123765A - A kind of personnel's real-time detection method and system - Google Patents
A kind of personnel's real-time detection method and system Download PDFInfo
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- CN108123765A CN108123765A CN201711425191.6A CN201711425191A CN108123765A CN 108123765 A CN108123765 A CN 108123765A CN 201711425191 A CN201711425191 A CN 201711425191A CN 108123765 A CN108123765 A CN 108123765A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/22—Status alarms responsive to presence or absence of persons
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- H—ELECTRICITY
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- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/003—Arrangements for allocating sub-channels of the transmission path
- H04L5/0053—Allocation of signaling, i.e. of overhead other than pilot signals
- H04L5/0057—Physical resource allocation for CQI
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Abstract
The present invention relates to wireless aware technical fields, specifically disclose a kind of personnel's real-time detection method, wherein, personnel's real-time detection method includes：Obtain channel state information；Extract the dynamic change characterization in the channel state information；Abnormality processing is carried out to the dynamic change characterization and obtains the actual characteristic that can really reflect environment dynamic change；The dynamic change state in environment is determined according to the actual characteristic.The invention also discloses a kind of personnel's real-time detecting systems.Personnel's real-time detection method provided by the invention makes it possible that high-precision, low latency, low computation complexity, the round-the-clock personnel of low sampling rate detect.
Description
Technical field
The present invention relates to wireless aware technical fields more particularly to a kind of personnel's real-time detection method and personnel to detect in real time
System.
Background technology
In recent years, with the development of science and technology, wireless signal can not only be used as a kind of matchmaker of communication
It is situated between, more can be used for carrying out contactless, the i.e. perception of passive type.Wi-Fi signal as a kind of pervasive wireless signal, due to
Its physical layer information --- channel state information (Channel State Information, CSI) --- it can portray in environment
Multipath effect, can be consequently used for capture personnel's movable information.Wireless aware research work based on Wi-Fi has very much, and
A series of applications from simple to complexity are expedited the emergence of, including personnel's detection, activity recognition, gesture identification, Gait Recognition, sleep prison
Survey etc..However existing work all relies on greatly harsh experimental situation and condition, for example sleep monitor system usually requires that
Radio Link is close enough with user, and high accuracy positioning usually requires intensive Radio Link to realize with tracing system, living
Dynamic identifying system needs to carry out substantial amounts of training in advance in different position to meet required precision.These requirements often limit
The practicability of system, makes it can not carry out commercialization deployment.
Personnel detect, and are most possibly to be used for actual deployment as a kind of basis but very useful application ---
It can be applied in intrusion detection, security monitoring, in multiple scenes such as the monitoring and medical treatment of old man and child.Although have
Personnel based on Wi-Fi detect related work and largely improve precision, but face actual deployment, they also exist very much
Defect, than if desired for high sample rate, complicated algorithm, largely trained, these limiting factors cause existing work
It can not accomplish to remain to meet high-precision, real-time personnel detection under the conditions of limited computing resource.
Therefore, how to provide a kind of round-the-clock personnel's real-time detection method of lightweight based on Wi-Fi becomes this field
The technical issues of technical staff is urgently to be resolved hurrily.
The content of the invention
It is contemplated that at least solving one of technical problem in the prior art, a kind of personnel side of detection in real time is provided
Method and personnel's real-time detecting system, to solve the problems of the prior art.
As the first aspect of the invention, a kind of personnel's real-time detection method is provided, wherein, the personnel detect in real time
Method includes：
Obtain channel state information；
Extract the dynamic change characterization in the channel state information；
Abnormality processing is carried out to the dynamic change characterization and obtains the actual characteristic that can really reflect environment dynamic change；
The dynamic change state in environment is determined according to the actual characteristic.
Preferably, channel state information described in every group includes N number of sub-carrier signal, and the channel state information H is：
H=[H (1), H (2) ..., H (k) ..., H (N)]T, k ∈ [1, N],
Wherein,| H (k) | represent the amplitude of k-th of subcarrier, φkRepresent the phase of subcarrier
Position.
Preferably, under varying environment, the amplitude and phase of each subcarrier are different；When environment is static, each
The amplitude and phase of the subcarrier remain unchanged.
Preferably, the dynamic change characterization in the extraction channel state information includes：
The corresponding T groups channel state information of continuous T subcarrier is collected by sliding window, obtaining matrix M is：
Wherein, HiRepresent the channel state information that the ith sample time gets in sliding window, SjRepresent channel state information
In the corresponding time series of j-th of subcarrier；
Multigroup channel state information in a period of time is randomly assigned in pairs according to time domain or frequency domain；
Cross-correlation coefficient is calculated to the every group of channel state information obtained after being randomly assigned；
The intermediate value in all cross-correlation coefficients of time domain or frequency domain is chosen, and according to the median calculation of the cross-correlation coefficient
The dynamic change characterization.
Preferably, the intermediate value of the intermediate value of the cross-correlation coefficient including time domain cross-correlation coefficient and frequency domain cross-correlation coefficient
Intermediate value, it is described be randomly assigned after obtained every group of channel state information include time t1And t2And include frequency f1With
f2, wherein, t1,t2=1,2 ..., T, f1,f2=1,2 ..., N, the described pair of every group of channel state information obtained after being randomly assigned
Calculating cross-correlation coefficient includes：
Calculate the time domain cross-correlation coefficient c of the every group of channel state information obtained after being randomly assignedt(t1,t2) be：
Calculate the frequency domain cross-correlation coefficient c of the every group of channel state information obtained after being randomly assignedf(f1,f2) be：
Preferably, the intermediate value chosen in all cross-correlation coefficients includes as the dynamic change characterization：
Choose the intermediate value of the time domain cross-correlation coefficientAs the feature of relativity of time domain, wherein,
Choose the intermediate value of the time domain cross-correlation coefficientAs the feature of frequency domain correlation, wherein,
The dynamic change characterization value according to the feature calculation of the feature of the relativity of time domain and the frequency domain correlation
MI is：
Preferably, it is described that dynamic change characterization progress abnormality processing is obtained really reflecting environment dynamic change
Actual characteristic include：
If sliding window WiCorresponding dynamic change characterization value is MIi, obtained judgement result is there are dynamic changes in environment；
Continue to observe continuous d1A sliding window, judges MIi,Whether first threshold is respectively less than；
IfRespectively less than first threshold, it is determined that there are dynamic change in environment, and generate pre-
Alert information.
Preferably, it is described that dynamic change characterization progress abnormality processing is obtained really reflecting environment dynamic change
Actual characteristic include：
Judge that the corresponding dynamic change characterization value of two adjacent moments p and q is respectively MIpWith MIqWhether the second threshold is respectively less than
It is worth and judges whether the time interval of moment p and q is less than d2A sliding window；
If the corresponding dynamic change characterization value of two adjacent moments p and q is respectively MIpWith MIqRespectively less than second threshold, and
The time interval of moment p and q are less than d2A sliding window then judged in environment this period at moment p to q there are dynamic change, and
Warning information is generated in this period at moment p to q.
Preferably, the first threshold and the second threshold are obtained by Experiment Training, and the first threshold and
The second threshold can be adjusted according to demand.
As the second aspect of the invention, a kind of personnel's real-time detecting system is provided, wherein, the personnel detect in real time
System includes：
Acquisition module, the acquisition module are used to obtain channel state information；
Characteristic extracting module, the dynamic change that the characteristic extracting module is used to extract in the channel state information are special
Sign；
Exception processing module, the exception processing module are used to obtain energy to dynamic change characterization progress abnormality processing
The actual characteristic of enough true reflection environment dynamic changes；
Dynamic change state determining module, the dynamic change state determining module are used to be determined according to the actual characteristic
Dynamic change state in environment.
Personnel's real-time detection method provided by the invention is related to channel state information time-domain and frequency-domain using personnel's movement
Property influence extraction can portray the feature of environment dynamic change, the characteristic value calculated by comparing and the threshold being previously set
Value, and pass through the event filter of a robust, the accurate motion event for extracting personnel makes high-precision, low latency, low calculating multiple
The round-the-clock personnel detection of miscellaneous degree, low sampling rate is possibly realized.
Description of the drawings
Attached drawing is for providing a further understanding of the present invention, and a part for constitution instruction, with following tool
Body embodiment is together for explaining the present invention, but be not construed as limiting the invention.In the accompanying drawings：
Fig. 1 is the flow chart of personnel's real-time detection method provided by the invention.
Fig. 2 is the relativity of time domain schematic diagram of static environment provided by the invention and CSI under dynamic environment.
Fig. 3 is the frequency domain correlation schematic diagram of static environment provided by the invention and CSI under dynamic environment.
Fig. 4 is the schematic diagram of acquisition actual characteristic provided by the invention.
Fig. 5 is personnel's Detection accuracy of different scenes provided by the invention.
Fig. 6 is the accuracy rate that personnel detect under friction speed provided by the invention.
Fig. 7 is the accuracy rate that personnel detect under different position provided by the invention.
Fig. 8 is the structure diagram of personnel's real-time detecting system provided by the invention.
Specific embodiment
The specific embodiment of the present invention is described in detail below in conjunction with attached drawing.It should be appreciated that this place is retouched
The specific embodiment stated is merely to illustrate and explain the present invention, and is not intended to limit the invention.
As the first aspect of the invention, a kind of personnel's real-time detection method is provided, wherein, as shown in Figure 1, the people
Member's real-time detection method includes：
S110, channel state information is obtained；
Dynamic change characterization in S120, the extraction channel state information；
S130, the reality that can really reflect environment dynamic change is obtained to dynamic change characterization progress abnormality processing
Feature；
S140, dynamic change state in environment is determined according to the actual characteristic.
Personnel's real-time detection method provided by the invention is related to channel state information time-domain and frequency-domain using personnel's movement
Property influence extraction can portray the feature of environment dynamic change, the characteristic value calculated by comparing and the threshold being previously set
Value, and pass through the event filter of a robust, the accurate motion event for extracting personnel makes high-precision, low latency, low calculating multiple
The round-the-clock personnel detection of miscellaneous degree, low sampling rate is possibly realized.
Specifically, channel state information described in every group includes N number of sub-carrier signal, and the channel state information H is：
H=[H (1), H (2) ..., H (k) ..., H (N)]T, k ∈ [1, N],
Wherein,| H (k) | represent the amplitude of k-th of subcarrier, φkRepresent the phase of subcarrier
Position.
Preferably, under varying environment, the amplitude and phase of each subcarrier are different；When environment is static, each
The amplitude and phase of the subcarrier remain unchanged.
It should be noted that after driving and being finely adjusted using business network interface card and to it, upper-layer user can be from each data packet
One group of channel state information for including N number of subcarrier of middle acquisition：
H=[H (1), H (2) ..., H (k) ..., H (N)]T, k ∈ [1, N],
Wherein H (k) is defined as：
| H (k) | with φkThe amplitude and phase information of k-th of subcarrier are corresponded to respectively.Under varying environment, each point of H
Amount, i.e., each subcarrier have different amplitude and phase.Therefore when, there are during dynamic change, descending data at different moments in environment
Wrapping corresponding channel state information can be different from each other.And when environment is static, channel state information, i.e. H can remain unchanged.
It should be noted that since influences, the phase informations such as random noise, centre frequency deviation, sampling frequency deviation are past
Toward showing very big randomness and unstable, thus only the amplitude of reserved subcarrier as the raw information for portraying environment.
As specifically embodiment, the dynamic change characterization in the extraction channel state information includes：
The corresponding T groups channel state information of continuous T subcarrier is collected by sliding window, obtaining matrix M is：
Wherein, HiRepresent the channel state information that the ith sample time gets in sliding window, SjRepresent channel state information
In the corresponding time series of j-th of subcarrier；
Multigroup channel state information in a period of time is randomly assigned in pairs according to time domain or frequency domain；
Cross-correlation coefficient is calculated to the every group of channel state information obtained after being randomly assigned；
The intermediate value in all cross-correlation coefficients of time domain or frequency domain is chosen, and according to the median calculation of the cross-correlation coefficient
The dynamic change characterization.
It should be noted that in order to detect the dynamic change in environment, we collect continuous T subcarrier pair using sliding window
The T group channel state informations answered, obtain following matrixes：
Wherein, HiRepresent the channel state information that the ith sample time gets in sliding window, SjRepresent channel state information
In the corresponding time series of j-th of subcarrier.
It should be appreciated that i=1,2 ..., T, j=1,2 ..., N.
When personnel's movement causes environment dynamic change, the time-domain and frequency-domain correlation of channel state information can all become
Change：From time domain, if multigroup channel state information in a period of time be randomly divided into pairs, each group is all counted
Calculation cross-correlation coefficient (for example calculate HiWith Hi+2Cross-correlation coefficient), since channel state information at different moments has each other
Very big difference, therefore the cross-correlation coefficient in time domain can be reduced integrally, as shown in Figure 2；And from frequency domain, compared with low sampling rate
And not to channel state information carry out high-pass filtering processing in the case of channel state information frequency domain correlation mainly by background
Environment determines, because the dynamic motion of this person can cause frequency domain correlation to reduce, i.e. the time series of different sub-carrier is mutual mutually
Related coefficient reduces, as shown in Figure 3.
Specifically, the intermediate value of the intermediate value of the cross-correlation coefficient including time domain cross-correlation coefficient and frequency domain cross-correlation coefficient
Intermediate value, it is described be randomly assigned after obtained every group of channel state information include time t1And t2And include frequency f1With
f2, wherein, t1,t2=1,2 ..., T, f1,f2=1,2 ..., N, the described pair of every group of channel state information obtained after being randomly assigned
Calculating cross-correlation coefficient includes：
Calculate the time domain cross-correlation coefficient c of the every group of channel state information obtained after being randomly assignedt(t1,t2) be：
Calculate the frequency domain cross-correlation coefficient c of the every group of channel state information obtained after being randomly assignedf(f1,f2) be：
Further specifically, the intermediate value chosen in all cross-correlation coefficients includes as the dynamic change characterization：
Choose the intermediate value of the time domain cross-correlation coefficientAs the feature of relativity of time domain, wherein,
Choose the intermediate value of the time domain cross-correlation coefficientAs the feature of frequency domain correlation, wherein,
The dynamic change characterization value according to the feature calculation of the feature of the relativity of time domain and the frequency domain correlation
MI is：
It should be noted that MI is the feature that can portray environment dynamic change.Wherein, t1=1,2 ..., T, t2=1,
2 ..., T, f1=1,2 ..., N, f2=1,2 ..., N.
It should also be noted that, the feature that whether there is dynamic change in environment is portrayed as a whole, when existing in environment
During dynamic change, since whole time domain, frequency domain correlation all reduce,WithValue can also reduce, so as to feature MI
Value also can be reduced accordingly.Therefore, as long as choosing suitable threshold value by experience, it is possible to preliminarily judge to whether there is in environment
Variation.Variation in view of frequency domain correlation is not so good as the variation stabilization of relativity of time domain, and utilization index is with coefficient 0.1 to frequency domain phase
The effect of closing property is adjusted, and reduces influence of the noise to final feature MI.
Therefore, it is different that work is detected from previous personnel, the calculating involved by personnel's real-time detection method provided by the invention
Cross-correlation coefficient, extraction median calculation complexity are lower, in the case where computing resource is limited, can bring lower delay,
The real-time of guarantee system.
It is described to described in order to ensure to obtain accurate environment dynamic change as a result, being used as a kind of specifically embodiment
Dynamic change characterization carries out abnormality processing and obtains really reflecting that the actual characteristic of environment dynamic change includes：
If sliding window WiCorresponding dynamic change characterization value is MIi, obtained judgement result is there are dynamic changes in environment；
Continue to observe continuous d1A sliding window judgesWhether first threshold is respectively less than；
IfRespectively less than first threshold, it is determined that there are dynamic change in environment, and generate pre-
Alert information.
It is described to institute in order to ensure to obtain accurate environment dynamic change as a result, being used as another specifically embodiment
Dynamic change characterization progress abnormality processing is stated to obtain really reflecting that the actual characteristic of environment dynamic change includes：
Judge that the corresponding dynamic change characterization value of two adjacent moments p and q is respectively MIpWith MIqWhether the second threshold is respectively less than
It is worth and judges whether the time interval of moment p and q is less than d2A sliding window；
If the corresponding dynamic change characterization value of two adjacent moments p and q is respectively MIpWith MIqRespectively less than second threshold, and
The time interval of moment p and q are less than d2A sliding window then judged in environment this period at moment p to q there are dynamic change, and
Warning information is generated in this period at moment p to q.
Since the 2.4/5GHz frequency ranges of Wi-Fi work are very crowded, there is considerable radio-frequency apparatus working, therefore usually
It is difficult to find an absolute glitch-free frequency range a pair of of Wi-Fi equipment is allowed to exclusively enjoy.Therefore, Wi-Fi receivers would generally be adjusted and connect
By power variation of the modulation system with adaptive channel quality is correctly decoded or is adjusted to ensure communication.Therefore, we are once in a while
It can find that the entire gain of CSI may be there are unexpected enhancing or decline, and work as abnormal CSI foots in sliding window time range
When more than enough, the appearance of false-alarm may result in.
In order to reduce false-alarm as much as possible, and ensure the accuracy rate of personnel's detection, the dynamic motion based on personnel would generally
It is long enough that specifically embodiment is provided.Assuming that sliding window WiCorresponding characteristic value MIiIt is sufficiently small, it has been judged as
There are dynamic changes in environment, then will continue to observe continuous d1A sliding window.OnlyAll than first
Threshold value is small, just thinks a motion event occurred.Further, since some specific positions people movement to channel state information
Influence may weaken, the corresponding characteristic value MI calculated may be by chance in Near Threshold, and actually these moment are all right
Answer same motion event.Therefore, as long as certain corresponding characteristic value MI of two moment p and qpWith MIqBoth less than second threshold, and
Their time interval is less than the d selected by experience2A sliding window, then all characteristic values in this period will be all corrected
To detect the state of environment dynamic change, and early warning is generated, as shown in Figure 4.
Further specifically, the first threshold and the second threshold are obtained by Experiment Training, and described first
Threshold value and the second threshold can be adjusted according to demand.
It is understood that in order to improve the accuracy of detection of environment dynamic change, it is necessary to the first threshold and described
Second threshold is modified.
Since indoor environment might have variation, and channel quality also changes, for distinguishing whether environment has dynamic
The corresponding threshold value of the threshold value of variation, i.e. MI may be also required to adjust.What personnel's real-time detection method provided by the invention was taken is
Late night to morning, such as the channel state information data of 3:00 AM~4 point are counted, threshold value are readjusted, because this time does not have usually
There is the target of movement.
Even the advantage of personnel's real-time detection method provided by the invention be sample rate is extremely low, computing resource extremely
In the case of limited, high-precision, robust can be carried out to whether there is players in environment detection so that deployment is real-time
Round-the-clock personnel's detecting system is possibly realized.Fig. 5 illustrates personnel's real-time detection method provided by the invention and is received in one group of Wi-Fi
Personnel's Detection accuracy when being disposed on hair machine (highest sample rate only has 15~20Hz, 128MB DDR2RAM) under different scenes.
As can be seen that under different scenes, event detection accuracy rate has been above 98%, and average detection delay only has 1.5s or so.
It is the accuracy rate of event detection when people is moved with friction speed shown in Fig. 6, it can be seen that the movement velocity for making people is slow
Slowly, personnel's real-time detection method provided by the invention, still can be more accurate by extracting the feature on time-domain and frequency-domain simultaneously
Ground captures motion event.And when people on different position when moving, this method is still effective.As shown in fig. 7, when people is in distance
Wi-Fi transmitters are respectively that the sighting distance road between transmitter and receiver is moved and passed through on the path of 0m, 1m, 2m, 3m and 4m
During footpath, the accuracy rate of the detection of environment dynamic change can reach more than 90%.
As the second aspect of the invention, a kind of personnel's real-time detecting system is provided, wherein, as shown in figure 8, the people
Member's real-time detecting system 10 includes：
Acquisition module 110, the acquisition module 110 are used to obtain channel state information；
Characteristic extracting module 120, the dynamic that the characteristic extracting module 120 is used to extract in the channel state information become
Change feature；
Exception processing module 130, the exception processing module 130 are used to carry out abnormality processing to the dynamic change characterization
Obtain the actual characteristic that can really reflect environment dynamic change；
Dynamic change state determining module 140, the dynamic change state determining module 140 are used for according to described actual special
Sign determines the dynamic change state in environment.
Personnel's real-time detecting system provided by the invention is related to channel state information time-domain and frequency-domain using personnel's movement
Property influence extraction can portray the feature of environment dynamic change, the characteristic value calculated by comparing and the threshold being previously set
Value, and pass through the event filter of a robust, the accurate motion event for extracting personnel makes high-precision, low latency, low calculating multiple
The round-the-clock personnel detection of miscellaneous degree, low sampling rate is possibly realized.
Operation principle and the course of work on personnel's real-time detecting system provided by the invention are referred to people above
The description of member's real-time detection method, details are not described herein again.
It is understood that the principle that embodiment of above is intended to be merely illustrative of the present and the exemplary implementation that uses
Mode, however the present invention is not limited thereto.For those skilled in the art, the essence of the present invention is not being departed from
In the case of refreshing and essence, various changes and modifications can be made therein, these variations and modifications are also considered as protection scope of the present invention.
Claims (10)
1. a kind of personnel's real-time detection method, which is characterized in that personnel's real-time detection method includes：
Obtain channel state information；
Extract the dynamic change characterization in the channel state information；
Abnormality processing is carried out to the dynamic change characterization and obtains the actual characteristic that can really reflect environment dynamic change；
The dynamic change state in environment is determined according to the actual characteristic.
2. personnel's real-time detection method according to claim 1, which is characterized in that channel state information described in every group includes
N number of sub-carrier signal, the channel state information H are：
H=[H (1), H (2) ..., H (k) ..., H (N)]T, k ∈ [1, N],
Wherein,| H (k) | represent the amplitude of k-th of subcarrier, φkRepresent the phase of subcarrier.
3. personnel's real-time detection method according to claim 2, which is characterized in that under varying environment, each sub- load
The amplitude and phase of ripple are different；When environment is static, the amplitude and phase of each subcarrier remain unchanged.
4. personnel's real-time detection method according to claim 2, which is characterized in that the extraction channel state information
In dynamic change characterization include：
The corresponding T groups channel state information of continuous T subcarrier is collected by sliding window, obtaining matrix M is：
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Wherein, HiRepresent the channel state information that the ith sample time gets in sliding window, SjRepresent jth in channel state information
The corresponding time series of a subcarrier；
Multigroup channel state information in a period of time is randomly assigned in pairs according to time domain or frequency domain；
Cross-correlation coefficient is calculated to the every group of channel state information obtained after being randomly assigned；
The intermediate value in all cross-correlation coefficients of time domain or frequency domain is chosen, and according to the median calculation of the cross-correlation coefficient
Dynamic change characterization.
5. personnel's real-time detection method according to claim 4, which is characterized in that the intermediate value of the cross-correlation coefficient includes
The intermediate value of time domain cross-correlation coefficient and the intermediate value of frequency domain cross-correlation coefficient, it is described be randomly assigned after obtain every group of channel status letter
Breath includes time t1And t2And include frequency f1And f2, wherein, t1,t2=1,2 ..., T, f1,f2=1,2 ..., N, institute
It states and cross-correlation coefficient is calculated to the every group of channel state information obtained after being randomly assigned includes：
Calculate the time domain cross-correlation coefficient c of the every group of channel state information obtained after being randomly assignedt(t1,t2) be：
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Calculate the frequency domain cross-correlation coefficient c of the every group of channel state information obtained after being randomly assignedf(f1,f2) be：
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<mn>2</mn>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>S</mi>
<msub>
<mi>f</mi>
<mn>1</mn>
</msub>
</msub>
<msubsup>
<mi>S</mi>
<msub>
<mi>f</mi>
<mn>2</mn>
</msub>
<mi>T</mi>
</msubsup>
</mrow>
<mrow>
<mo>|</mo>
<mo>|</mo>
<msub>
<mi>S</mi>
<msub>
<mi>f</mi>
<mn>1</mn>
</msub>
</msub>
<mo>|</mo>
<mo>|</mo>
<mo>|</mo>
<mo>|</mo>
<msub>
<mi>S</mi>
<msub>
<mi>f</mi>
<mn>2</mn>
</msub>
</msub>
<mo>|</mo>
<mo>|</mo>
</mrow>
</mfrac>
<mo>.</mo>
</mrow>
6. personnel's real-time detection method according to claim 5, which is characterized in that described to choose in all cross-correlation coefficients
Intermediate value include as the dynamic change characterization：
Choose the intermediate value of the time domain cross-correlation coefficientAs the feature of relativity of time domain, wherein,
<mrow>
<mover>
<msub>
<mi>c</mi>
<mi>t</mi>
</msub>
<mo>&OverBar;</mo>
</mover>
<mo>=</mo>
<mi>M</mi>
<mi>e</mi>
<mi>d</mi>
<mi>i</mi>
<mi>a</mi>
<mi>n</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>c</mi>
<mi>t</mi>
</msub>
<mo>(</mo>
<mrow>
<msub>
<mi>t</mi>
<mn>1</mn>
</msub>
<mo>,</mo>
<msub>
<mi>t</mi>
<mn>2</mn>
</msub>
</mrow>
<mo>)</mo>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Choose the intermediate value of the time domain cross-correlation coefficientAs the feature of frequency domain correlation, wherein,
<mrow>
<mover>
<msub>
<mi>c</mi>
<mi>f</mi>
</msub>
<mo>&OverBar;</mo>
</mover>
<mo>=</mo>
<mi>M</mi>
<mi>e</mi>
<mi>d</mi>
<mi>i</mi>
<mi>a</mi>
<mi>n</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>c</mi>
<mi>f</mi>
</msub>
<mo>(</mo>
<mrow>
<msub>
<mi>f</mi>
<mn>1</mn>
</msub>
<mo>,</mo>
<msub>
<mi>f</mi>
<mn>2</mn>
</msub>
</mrow>
<mo>)</mo>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Dynamic change characterization value MI is according to the feature calculation of the feature of the relativity of time domain and the frequency domain correlation：
<mrow>
<mi>M</mi>
<mi>I</mi>
<mo>=</mo>
<mover>
<msub>
<mi>c</mi>
<mi>t</mi>
</msub>
<mo>&OverBar;</mo>
</mover>
<msup>
<mi>e</mi>
<mrow>
<mn>0.1</mn>
<mover>
<msub>
<mi>c</mi>
<mi>f</mi>
</msub>
<mo>&OverBar;</mo>
</mover>
</mrow>
</msup>
<mo>.</mo>
</mrow>
7. personnel's real-time detection method according to claim 6, which is characterized in that it is described to the dynamic change characterization into
Row abnormality processing obtains really reflecting that the actual characteristic of environment dynamic change includes：
If sliding window WiCorresponding dynamic change characterization value is MIi, obtained judgement result is there are dynamic changes in environment；
Continue to observe continuous d1A sliding window judgesWhether first threshold is respectively less than；
IfRespectively less than first threshold, it is determined that there are dynamic change in environment, and generate early warning letter
Breath.
8. personnel's real-time detection method according to claim 7, which is characterized in that it is described to the dynamic change characterization into
Row abnormality processing obtains really reflecting that the actual characteristic of environment dynamic change includes：
Judge that the corresponding dynamic change characterization value of two adjacent moments p and q is respectively MIpWith MIqWhether second threshold is respectively less than,
And judge whether the time interval of moment p and q is less than d2A sliding window；
If the corresponding dynamic change characterization value of two adjacent moments p and q is respectively MIpWith MIqRespectively less than second threshold, and moment p
It is less than d with the time interval of q2A sliding window then judged in environment this period at moment p to q there are dynamic change, and in moment p
Warning information is generated in q this periods.
9. personnel's real-time detection method according to claim 8, which is characterized in that the first threshold and second threshold
Value is obtained by Experiment Training, and the first threshold and the second threshold can be adjusted according to demand.
10. a kind of personnel's real-time detecting system, which is characterized in that personnel's real-time detecting system includes：
Acquisition module, the acquisition module are used to obtain channel state information；
Characteristic extracting module, the characteristic extracting module are used to extract the dynamic change characterization in the channel state information；
Exception processing module, the exception processing module are used to carrying out abnormality processing to the dynamic change characterization that obtain can be true
The actual characteristic of real reflection environment dynamic change；
Dynamic change state determining module, the dynamic change state determining module are used to determine environment according to the actual characteristic
In dynamic change state.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113904707A (en) * | 2021-09-16 | 2022-01-07 | 上海美仁半导体有限公司 | Human body detection method and device and shutdown method and device of household appliance |
| WO2024002029A1 (en) * | 2022-06-30 | 2024-01-04 | 华为技术有限公司 | Respiration test method, and electronic device, storage medium and program product |
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2017
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113904707A (en) * | 2021-09-16 | 2022-01-07 | 上海美仁半导体有限公司 | Human body detection method and device and shutdown method and device of household appliance |
| CN113904707B (en) * | 2021-09-16 | 2023-11-10 | 上海美仁半导体有限公司 | Human body detection method and device, and shutdown method and device of household electrical appliance |
| WO2024002029A1 (en) * | 2022-06-30 | 2024-01-04 | 华为技术有限公司 | Respiration test method, and electronic device, storage medium and program product |
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