CN103596266A - Method, device and system for detecting and locating human body - Google Patents
Method, device and system for detecting and locating human body Download PDFInfo
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Abstract
The invention discloses a method, device and system for detecting and locating a human body. The method comprises the steps that a detection signal feature information is received, wherein the signal feature is the channel state information amplitude of each sub-carrier in an orthogonal frequency division multiplexing system; position-related signal fingerprint feature information in a signal fingerprint database is read, the signal fingerprint database is used for storing the position-related signal fingerprint feature information, the position-related signal fingerprint feature information comprises positions, signal features, and corresponding relation between the positions and the signal features; the similarities between the detection signal feature and the position-related signal fingerprint features are detected; according to the similarities between the detection signal feature and the position-related signal fingerprint features, the position-related signal fingerprint feature which has the largest similarity with the detection signal feature is searched for, and whether the human body exists or not and the position of the human body are determined. By the adoption of the method, device and system for detecting and locating the human body, the detection ratio and the locating accuracy of the human body are improved.
Description
Technical field
The present invention relates to wireless location technology, relate in particular to method, the Apparatus and system of a kind of human detection and location.
Background technology
Along with the fast development of Internet of Things, the mankind have stepped into the intelligent world gradually.A large amount of smart machines is developed and applies, and has emerged in large numbers various intelligent systems, such as intelligent domestic system, intelligent nursing system, the intelligence building system.These intelligent systems need to, to position of human body and the movable sensitiveness that keeps, therefore become to the detection of human body and location the basis that intelligent system is applied.For example: hospital is used intelligent nursing system monitoring patient's activity, the especially nurse to the elderly; The intelligence building system detects and consumer positioning, for it provides location-based service accurately.
To the detection of human body and location, is in early days mainly to be undertaken by camera, but camera is expensive, disposes cost higher, and night back warp often lost efficacy.In the last few years, various wireless devices were developed and extensive use, a large amount of cheap radio reception devices be deployed in building and near.Wireless monitor system occurs like the mushrooms after rain in a large number, and wireless monitor system comprises two kinds of active monitoring and passive monitorings at present.Active monitoring requires user to carry radio-based electronic devices, and these electronic equipments can initiatively for example, communicate with monitor (common wifi equipment), and monitor positions user according to wireless signal strength.But these electronic equipments are often more expensive, and easily because carrier's daily routines wreck, lost efficacy, or the person of being carried loses and cannot complete monitoring task dispatching.Passive monitoring is carried any electronic equipment without user.Monitoring system is deployed in target area, and when user has entered this region, monitoring system detects the signal intensity in region, utilizes the methods such as machine learning and pattern recognition to realize the detection of human body and location.Once passive monitoring system is disposed and can be monitored target area for a long time, is not subject to the impact of User Status.Desirable passive monitoring system should have lower rate of false alarm, higher positioning precision, expansibility, can realize that many health check-ups are surveyed and location.
In the prior art, the major technique that many passive human body monitoring systems adopt is signal strength information (the Received Signal Strength Indication that wireless device is received, RSSI) as location fingerprint information, by detection signal strength, change to realize human detection and location.Although RSSI information is easy to obtain, it is unsettled that RSSI is considered to, and is easy to by external interference, causes larger rate of false alarm, lower verification and measurement ratio and positioning precision, and be difficult to carry out many health check-ups survey and location.Therefore most of passive human body monitoring system based on RSSI is only the appearance that can detect user, cannot accurately locate user's position, or need to dispose a large amount of communication links just can complete the coarse localization to human body, and the deployment of a large amount of receivers has limited smart machine application power to a certain extent, such as conventionally only there is a small amount of communication link in domestic environment.
Summary of the invention
In view of this, the embodiment of the present invention provides method, the Apparatus and system of a kind of human detection and location, to improve human detection rate and positioning precision.
On the one hand, the embodiment of the present invention provides a kind of method of human detection and location, and described method comprises:
Receive detection signal characteristic information, described signal characteristic is the channel condition information amplitude of each subcarrier in ofdm system;
Position coherent signal fingerprint characteristic information in read signal fingerprint database, described received signals fingerprint database is for memory location coherent signal fingerprint characteristic information, and described position coherent signal fingerprint characteristic information comprises the corresponding relation of position, signal characteristic and position and signal characteristic;
Calculate the similarity of described detection signal feature and described position coherent signal fingerprint characteristic;
According to the similarity of described detection signal feature and described position coherent signal fingerprint characteristic, search the position coherent signal fingerprint characteristic of described similarity maximum, define without human body and position of human body.
Further, before described reception detection signal characteristic information, also comprise:
At haplopia, under communication link, the signal characteristic when human body is positioned to assigned address is trained, and builds received signals fingerprint database.
Further, before the position coherent signal fingerprint characteristic information in described read signal fingerprint database, also comprise:
Described detection signal characteristic information is deposited in buffering area;
Read successively the described detection signal characteristic information depositing in buffering area.
Further, the similarity of the described detection signal feature of described calculating and described position coherent signal fingerprint characteristic comprises:
Calculate the Euclidean distance of described detection signal feature and described position coherent signal fingerprint characteristic;
According to the signal characteristic of all subcarriers in described detection signal feature, calculate detection signal sequence matrix, according to described position coherent signal fingerprint characteristic calculating location coherent signal sequence matrix, calculate the cosine similarity of described detection signal sequence matrix and described position coherent signal sequence matrix;
According to described Euclidean distance and described cosine similarity, calculate the value of the ratio maximum of described cosine similarity and described Euclidean distance, the value of the ratio maximum of described cosine similarity and described Euclidean distance is the similarity of described detection signal feature and described position coherent signal fingerprint characteristic.
On the other hand, the embodiment of the present invention also provides the device of a kind of human detection and location, and described device comprises:
Receiver module, for receiving detection signal characteristic information, described signal characteristic is the channel condition information amplitude of each subcarrier in ofdm system;
Read module, position coherent signal fingerprint characteristic information in read signal fingerprint database, described received signals fingerprint database is for memory location coherent signal fingerprint characteristic information, and described position coherent signal fingerprint characteristic information comprises the corresponding relation of position, signal characteristic and position and signal characteristic;
Computing module, for calculating the similarity of described detection signal feature and described position coherent signal fingerprint characteristic;
Search module, for according to the similarity of described detection signal feature and described position coherent signal fingerprint characteristic, search the position coherent signal fingerprint characteristic of described similarity maximum, define without human body and position of human body.
Further, described device also comprises:
Build module, at haplopia under communication link, the signal characteristic when human body is positioned to assigned address is trained, and builds received signals fingerprint database.
Further, described device also comprises:
Cache module, for depositing described detection signal characteristic information in buffering area;
Read successively the described detection signal characteristic information depositing in buffering area.
Further, described computing module comprises:
The first calculating sub module, for calculating the Euclidean distance of described detection signal feature and described position coherent signal fingerprint characteristic;
The second calculating sub module, for calculating detection signal sequence matrix according to the signal characteristic of all subcarriers of described detection signal feature, according to described position coherent signal fingerprint characteristic calculating location coherent signal sequence matrix, calculate the cosine similarity of described detection signal sequence matrix and described position coherent signal sequence matrix;
The 3rd calculating sub module, be used for according to described Euclidean distance and described cosine similarity, calculate the value of the ratio maximum of described cosine similarity and described Euclidean distance, the value of the ratio maximum of described cosine similarity and described Euclidean distance is the similarity of described detection signal feature and described position coherent signal fingerprint characteristic.
On the other hand, the embodiment of the present invention also provides the system of a kind of human detection and location, and described system comprises the device of signal transmitter, signal receiver, received signals fingerprint database and human detection and location;
Described received signals fingerprint database is for memory location coherent signal fingerprint characteristic information, described position coherent signal fingerprint characteristic information comprises the corresponding relation of position, signal characteristic and position and signal characteristic, and described signal characteristic is the channel condition information amplitude of each subcarrier in ofdm system;
Described signal transmitter transmitting 802.11n protocol signal, described signal receiver extracts detection signal characteristic information and described detected signal information is sent to the device of described human detection and location after the 802.11n protocol signal that receives transmitter transmitting, and the device of described human detection and location defines without human body and position of human body according to the position coherent signal fingerprint characteristic information in described detection signal characteristic information and described received signals fingerprint database.
The human detection that the embodiment of the present invention provides and the method for location, Apparatus and system are by calculating detection signal feature and the similarity that is stored in the position coherent signal fingerprint characteristic in received signals fingerprint database, search the position coherent signal fingerprint characteristic of similarity maximum, define without human body and position of human body, improved human detection rate and positioning precision.
Accompanying drawing explanation
Fig. 1 is the flow chart of the method for the human detection that provides of first embodiment of the invention and location;
Fig. 2 is the schematic diagram of the device of the human detection that provides of second embodiment of the invention and location;
Fig. 3 is the schematic diagram of the system of the human detection that provides of third embodiment of the invention and location;
Fig. 4 is the schematic diagram of the system of the human detection that provides of fourth embodiment of the invention and location;
Fig. 5 is the haplopia realized of the system of the human detection that provides of fourth embodiment of the invention and location apart from the detection of passive human body and the schematic diagram of location under communication link;
Fig. 6 is the building process schematic diagram of the received signals fingerprint database in the system of the human detection that provides of the embodiment of the present invention and location.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, in accompanying drawing, only show part related to the present invention but not full content.
Fig. 1 shows the first embodiment of the present invention.
Fig. 1 is the realization flow figure of the method for the human detection that provides of first embodiment of the invention and location, and details are as follows for the method:
In step 101, receive detection signal characteristic information.
The equipment of carrying out the method for human detection and location receives detection signal characteristic information, and described signal characteristic is the channel condition information amplitude of each subcarrier in ofdm system.
Appropriate location deployment signal transmitter and signal receiver in the space that needs human detection and location, when carrying out human detection and location, signal transmitter transmitting 802.11n protocol signal, signal receiver extracts detection signal characteristic information after receiving signal, the detection signal characteristic information extracting is sent to the equipment of the method for carrying out human detection and location.
IEEE official approval in 2009 802.11n consensus standard, many manufacturers have all adopted MIMO OFDM technology, product relates to wireless network card, wireless routing etc.802.11n agreement improves the throughput of WLAN in conjunction with the optimization of physical layer and MAC layer technology, become gradually the popular protocol of radio communication, and conventional wireless network card and wireless routing device all supported 802.11n protocol communication at present.Meanwhile, OFDM(Orthogonal Frequency Division Multiplexing) be orthogonal frequency division multiplexi, be a kind of wireless high-speed transmission technology.It is divided into given frequency domain the subchannel of a plurality of quadratures, adopts a subcarrier to modulate, each subcarrier parallel transmission on every sub-channels.Channel condition information under 802.11n agreement (CSI) can represent with sub-carrier channels matrix, reflection wireless link channel attribute.It has described the effect that signal produces from transmitted from transmitter to receiver communication process, comprises scattering, decay and apart from power attenuation etc.CSI can distinguish multipath part from the granularity of OFDM subcarrier, therefore CSI is considered to fine-grained, responsive to environmental change, especially when signal is through after human body, each subcarrier can be subject to impact in various degree, the amplitude of subcarrier has being lowered of being increased, therefore shows different amplitude curve features.
In traditional indoor environment, a signal transmission can be propagated by multipath, and causes different spread lengths, path loss, different time delay, amplitude fading and phase deviation.And multi-path environment can pass through time linear filter h (τ) characterization, i.e. channel impulse response (Channel Impulse Response, CIR):
Wherein, a
i, θ
iand τ
irepresent respectively amplitude, phase place and the time delay of i multipath, i=1,2 ..., N, N represents multipath number.
In frequency domain, ofdm system provides channel frequency response (Channel Frequency Response in OFDM subcarrier granularity, CFR), the CFR information of each subcarrier is a complex values, real part is amplitude-frequency response and plural number part is phase response, and each subcarrier is defined as again:
H(f)=|H(f)|exp(jsin(∠H(f)))
Wherein H (f) represents the amplitude-frequency response of subcarrier, and ∠ H (f) represents the phase response of subcarrier.
For a given bandwidth, CIR can convert CFR to by fast Fourier transform.Although CIR and CFR are of equal value in radio channel response, but CIR has many restrictions on the WiFi of current business equipment, and the PHASE DISTRIBUTION of CFR is inhomogeneous, shake is serious, the amplitude of CFR is relatively stable and can show stronger variation to physical activity by contrast.Therefore the CFR of each subcarrier is usingd to channel condition information (Channel State Information, CSI) form represents and by the CSI amplitude set of all subcarriers as signal characteristic.
Exemplary, before described reception detection signal characteristic information, also comprise:
At haplopia, under communication link, the signal characteristic when human body is positioned to assigned address is trained, and builds received signals fingerprint database.
For the process of establishing of received signals fingerprint database, first using haplopia apart from communication link the signal characteristic information in the situation that nobody blocks as standard signal fingerprint characteristic.The in the situation that at haplopia, apart from communication link, nobody blocking, signal receiver extracts CSI information from the 802.11n protocol data of signal transmitter transmitting, then CSI information is sent to the equipment of the method for carrying out human detection and location, the equipment of carrying out the method for human detection and location reads CSI information, extract the amplitude information of each subcarrier, in the cumulative sampling period, in packet, the amplitude of each subcarrier is asked its mean value, obtain the equal value set of the amplitude of all subcarriers in collecting sample, it is deposited in received signals fingerprint database as position coherent signal fingerprint characteristic.Next according to the construction method of standard signal fingerprint, successively collecting test person at distance signal receiver for example, signal characteristic when certain distance (1 meter).By said method, can set up under the separate communication link that length is N rice, N position coherent signal fingerprint characteristic sample data record, as shown in the table:
It is the position coherent signal fingerprint characteristic of 30 o'clock that upper table is illustrated in OFDM sub-carrier number, wherein, and H
1, H
2..., H
30cSI amplitude for each subcarrier.
In step 102, the position coherent signal fingerprint characteristic information in read signal fingerprint database.
Position coherent signal fingerprint characteristic information in the equipment read signal fingerprint database of the method for execution human detection and location, described received signals fingerprint database is for memory location coherent signal fingerprint characteristic information, and described position coherent signal fingerprint characteristic information comprises the corresponding relation of position, signal characteristic and position and signal characteristic.
Exemplary, before the position coherent signal fingerprint characteristic information in described read signal fingerprint database, also comprise:
Described detection signal characteristic information is deposited in buffering area;
Read successively the described detection signal characteristic information depositing in buffering area.
When reading the described detection signal characteristic information depositing in buffering area, can read in the mode of sliding window.
In step 103, calculate the similarity of described detection signal feature and described position coherent signal fingerprint characteristic.
For the calculating of signal similar degree, can adopt Euclidean distance method, by calculating two signal amplitudes apart from difference, retrieve one group of signal of difference minimum.After yet haplopia is blocked by human body apart from communication link, signal characteristic corresponding to many positions is very approaching.Euclidean distance method sometimes can not reach gratifying precision.Consider the frequency dependence of OFDM sub-carrier signal decay, the method that can adopt Euclidean distance to combine with cosine similarity, the method that Euclidean distance combines from cosine similarity had not only been considered different in direction of described detection signal and described position coherent signal but also had been distinguished the otherness of distance.
Exemplary, the similarity of the described detection signal feature of described calculating and described position coherent signal fingerprint characteristic comprises:
Calculate the Euclidean distance of described detection signal feature and described position coherent signal fingerprint characteristic;
According to the signal characteristic of all subcarriers in described detection signal feature, calculate detection signal sequence matrix, according to described position coherent signal fingerprint characteristic calculating location coherent signal sequence matrix, calculate the cosine similarity of described detection signal sequence matrix and described position coherent signal sequence matrix;
According to described Euclidean distance and described cosine similarity, calculate the value of the ratio maximum of described cosine similarity and described Euclidean distance, the value of the ratio maximum of described cosine similarity and described Euclidean distance is the similarity of described detection signal feature and described position coherent signal fingerprint characteristic.
The equipment of carrying out the method for human detection and location extracts detection signal CSI characteristic vector H (t) from the detection signal characteristic information receiving, and from received signals fingerprint database, retrieve position coherent signal fingerprint characteristic vector H (f), 30 subcarriers of take are example, and the Euclidean distance computing formula of described detection signal feature and described position coherent signal fingerprint characteristic is as follows:
Wherein, ED (t, f) represents the Euclidean distance of described detection signal feature H (t) and described position coherent signal fingerprint characteristic H (f).
The equipment of carrying out the method for human detection and location calculates detection signal sequence matrix C according to the signal characteristic H (t) of all subcarriers in described detection signal feature
t, according to described position coherent signal fingerprint characteristic H (f) calculating location coherent signal sequence matrix C
f, calculating the cosine similarity of described detection signal sequence matrix and described position coherent signal sequence matrix, 30 subcarriers of take are example, the computing formula of cosine similarity of calculating described detection signal sequence matrix and described position coherent signal sequence matrix is as follows:
Wherein, SIM (t, f) represents the cosine similarity of described detection signal sequence matrix and described position coherent signal sequence matrix, || C
t|| represent detection signal sequence matrix C
tthe value of determinant, || C
f|| represent the value of the determinant of position coherent signal sequence matrix Cf, burst matrix
solve detection signal sequence matrix C
twith position coherent signal sequence matrix C
fin time, can obtain detection signal feature H (t) and position coherent signal fingerprint characteristic H (f) substitution burst Matrix C respectively.
The method that the equipment utilization Euclidean distance of the method for execution human detection and location combines with cosine similarity, according to described Euclidean distance and described cosine similarity, calculate the value of the ratio maximum of described cosine similarity and described Euclidean distance, the value of the ratio maximum of described cosine similarity and described Euclidean distance is the similarity of described detection signal feature and described position coherent signal fingerprint characteristic, and computing formula is as follows:
Wherein, Location (t) represents to utilize the described detection signal feature of the method calculating that Euclidean distance combines with cosine similarity and the similarity of described position coherent signal fingerprint characteristic, SIM (t, f) represent the cosine similarity of described detection signal sequence matrix and described position coherent signal sequence matrix, ED (t, f) represents the Euclidean distance of described detection signal feature H (t) and described position coherent signal fingerprint characteristic H (f).
In step 104, according to the similarity of described detection signal feature and described position coherent signal fingerprint characteristic, search the position coherent signal fingerprint characteristic of described similarity maximum, define without human body and position of human body.
The equipment of the method for execution human detection and location is according to the similarity of described detection signal feature and described position coherent signal fingerprint characteristic, search the position coherent signal fingerprint characteristic of described similarity maximum, according to state corresponding to this position coherent signal fingerprint characteristic and position, can judge whether that user occurs and calculates the position that position corresponding to coherent signal fingerprint characteristic, ，Gai position, its position is user.
The equipment of carrying out the method for human detection and location can mate detection signal feature according to the described cosine similarity of calculating with the received signals fingerprint feature of each position in received signals fingerprint database with the computing formula of the value of the ratio maximum of described Euclidean distance, find maximum one of Location (t) value, as last location determination.
The present embodiment is by calculating detection signal feature and the similarity that is stored in the position coherent signal fingerprint characteristic in received signals fingerprint database, search the position coherent signal fingerprint characteristic of similarity maximum, define without human body and position of human body, improved verification and measurement ratio and the positioning precision of human body.
Fig. 2 shows the second embodiment of the present invention.
Fig. 2 is the schematic diagram of the device of the human detection that provides of second embodiment of the invention and location.Human detection described in the present embodiment and the device of location are for realizing human detection described in the first embodiment and the method for location.As shown in Figure 2, the device of the human detection described in the present embodiment and location comprises: receiver module 201, read module 202, computing module 203 and search module 204.
Wherein, receiver module 201 is for receiving detection signal characteristic information, and described signal characteristic is the channel condition information amplitude of each subcarrier in ofdm system.Described receiver module 201, for realizing the function described in the first embodiment step 101, repeats no more here.
Exemplary, described device also comprises:
Build module, at haplopia under communication link, the signal characteristic when human body is positioned to assigned address is trained, and builds received signals fingerprint database.
Position coherent signal fingerprint characteristic information in read module 202 read signal fingerprint databases, described received signals fingerprint database is for memory location coherent signal fingerprint characteristic information, and described position coherent signal fingerprint characteristic information comprises the corresponding relation of position, signal characteristic and position and signal characteristic.Described read module 202, for realizing the function described in the first embodiment step 102, repeats no more here.
Exemplary, described device also comprises:
Cache module, for depositing described detection signal characteristic information in buffering area;
Read successively the described detection signal characteristic information depositing in buffering area.
Exemplary, described computing module comprises:
The first calculating sub module, for calculating the Euclidean distance of described detection signal feature and described position coherent signal fingerprint characteristic;
The second calculating sub module, for calculating detection signal sequence matrix according to the signal characteristic of all subcarriers of described detection signal feature, according to described position coherent signal fingerprint characteristic calculating location coherent signal sequence matrix, calculate the cosine similarity of described detection signal sequence matrix and described position coherent signal sequence matrix;
The 3rd calculating sub module, be used for according to described Euclidean distance and described cosine similarity, calculate the value of the ratio maximum of described cosine similarity and described Euclidean distance, the value of the ratio maximum of described cosine similarity and described Euclidean distance is the similarity of described detection signal feature and described position coherent signal fingerprint characteristic.
The present embodiment receives detection signal characteristic information by receiver module, position coherent signal fingerprint characteristic information in read module read signal fingerprint database, computing module calculates the similarity of described detection signal feature and described position coherent signal fingerprint characteristic, search module and search the position coherent signal fingerprint characteristic of described similarity maximum according to the similarity of described detection signal feature and described position coherent signal fingerprint characteristic, determine position of human body, improved verification and measurement ratio and the positioning precision of human body.
Fig. 3 shows the third embodiment of the present invention.
Fig. 3 is the schematic diagram of the system of the human detection that provides of third embodiment of the invention and location.As shown in Figure 3, the system of the human detection described in the present embodiment and location comprises: the device 304 of signal transmitter 301, signal receiver 302, received signals fingerprint database 303 and human detection and location.
Wherein, described received signals fingerprint database 303 is for memory location coherent signal fingerprint characteristic information, described position coherent signal fingerprint characteristic information comprises the corresponding relation of position, signal characteristic and position and signal characteristic, and described signal characteristic is the channel condition information amplitude of each subcarrier in ofdm system.
Described signal transmitter 301 transmitting 802.11n protocol signals, described signal receiver 302 extracts detection signal characteristic information and described detected signal information is sent to the device of described human detection and location after the 802.11n protocol signal that receives transmitter transmitting, and the device 304 of described human detection and location defines without human body and position of human body according to the position coherent signal fingerprint characteristic information in described detection signal characteristic information and described received signals fingerprint database 303.
Wherein, the human detection that the device of described human detection and location provides for the second embodiment and the device of location, repeat no more here.
The present embodiment transmits by signal transmitter, signal receiver extracts detection signal characteristic information and sends to human detection and the device of location after receiving signal, by the device of human detection and location, realized detection and the location of human body, improved verification and measurement ratio and the positioning precision of human body.
Fig. 4 shows the fourth embodiment of the present invention.
Fig. 4 is the schematic diagram of the system of the human detection that provides of fourth embodiment of the invention and location.As shown in Figure 4, the system of the human detection described in the present embodiment and location comprises: the device 404 of signal transmitter 401, signal receiver 402, received signals fingerprint database 403 and human detection and location.
Fig. 5 is the haplopia realized of the system of the human detection that provides of fourth embodiment of the invention and location apart from the detection of passive human body and the schematic diagram of location under communication link.As shown in Figure 5, when having people to appear between signal transmitter and signal receiver, can utilize the system of human detection and location to detect someone occurs and can determine its position.Because 2.4GHz is in the frequency range of water resonance, human body can be in frequency band radio wave absorbing, so when human body blocks wireless communication link, the radio wave in communication link, after human body, can produce selective attenuation.For ofdm system, the amplitude of 30 subcarriers has being lowered of being increased, therefore shows different amplitude curve features.The present invention just around this principle, the method of employing based on received signals fingerprint feature completes the detection of human body under separate communication link and location, whether can realize detection has user to occur, if user appears in single-link, can position its position, the distance suitable by interval builds received signals fingerprint database, and the distance at interval is less, and positioning precision is higher, if the distance at interval is 1 meter, positioning precision can reach 1 meter.
Fig. 6 is the building process schematic diagram of the received signals fingerprint database in the system of the human detection that provides of the embodiment of the present invention and location.Signal transmitter in Fig. 4 and Fig. 6 (TX) can adopt the most universal WAP (wireless access point) of current application (AP), and on signal receiver (RX), dispose Intel NIC5300 network interface card, support 802.11n agreement, (SuSE) Linux OS and Linux CSI Tool instrument are installed.Linux CSI Tool comprises a driver iwlwifi for Intel NIC5300 network interface card, it can obtain the channel response information of 30 subcarriers in ofdm system, and can submit to user's state program with channel condition information (CSI) form and process.Signal transmitter and signal receiver are generally fixed on overhead the highly position of 1 meter～1.5 meters, can more accurately the appearance of human body be detected and be located like this.Signal receiver for example, sends ICMP request message with given pace (being set as 20 packets each second) to signal transmitter, then signal receiver utilizes Linux CSI Tool to drive and from the response packet of signal transmitter, obtains CSI information, and in real time the CSI information exchange of collection is crossed to the device that udp protocol sends to human detection and location.During system is disposed, first tester should arrange system parameters, comprises the corresponding informations such as linkage length, ICMP packet sending speed, application server IP address, then carries out the sampling of on-site signal fingerprint characteristic.The method building according to received signals fingerprint database, the device of human detection and location carries out feature extraction after receiving sampled signal data, obtain the amplitude information of the CSI of all subcarriers, be deposited in buffering area, if enough data have been deposited in buffering area, (for example the data sampling cycle of each position is 5 minutes, approximately store 6000 data) afterwards, read signal characteristic information from buffering area, obtain the amplitude average of each subcarrier, the amplitude set of 30 subcarriers is deposited in received signals fingerprint database as received signals fingerprint feature.In this way each assigned address is carried out to position coherent signal fingerprint collecting, thereby set up received signals fingerprint database.When carrying out human detection and location, signal receiver can for example, carry out contribution link CSI information by sending the ICMP packet of given pace (being 20 packet per second), the CSI information of extraction is sent to continuously to the device of human detection and location.The device of human detection and location carries out feature extraction after receiving data, the amplitude data of the CSI of the subcarrier of signal is deposited in buffering area, then the trace routine of the device of human detection and location can for example, according to window size (20 data, approximately 1 seconds) read signal characteristic value from buffering area, and using the equal value set of amplitude of 30 subcarriers in window data as detection signal feature.The device of human detection and location calculates that detection signal feature and position coherent signal fingerprint characteristic match most, finally exports its result of calculation, completes and detects and locate.
The present embodiment is by take detection and the location that the system of human detection that 30 subcarriers of ofdm system provide by the 3rd embodiment as example illustrates and location realizes human body, by signal transmitter, transmit, signal receiver extracts detection signal characteristic information and sends to human detection and the device of location after receiving signal, by the device of human detection and location, realized detection and the location of human body, improved verification and measurement ratio and the positioning precision of human body.
Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious variations, readjust and substitute and can not depart from protection scope of the present invention.Therefore, although the present invention is described in further detail by above embodiment, the present invention is not limited only to above embodiment, in the situation that not departing from the present invention's design, can also comprise more other equivalent embodiment, and scope of the present invention is determined by appended claim scope.
Claims (9)
1. a method for human detection and location, is characterized in that, described method comprises:
Receive detection signal characteristic information, described signal characteristic is the channel condition information amplitude of each subcarrier in ofdm system;
Position coherent signal fingerprint characteristic information in read signal fingerprint database, described received signals fingerprint database is for memory location coherent signal fingerprint characteristic information, and described position coherent signal fingerprint characteristic information comprises the corresponding relation of position, signal characteristic and position and signal characteristic;
Calculate the similarity of described detection signal feature and described position coherent signal fingerprint characteristic;
According to the similarity of described detection signal feature and described position coherent signal fingerprint characteristic, search the position coherent signal fingerprint characteristic of described similarity maximum, define without human body and position of human body.
2. method according to claim 1, is characterized in that, before described reception detection signal characteristic information, also comprises:
At haplopia, under communication link, the signal characteristic when human body is positioned to assigned address is trained, and builds received signals fingerprint database.
3. method according to claim 1 and 2, is characterized in that, before the position coherent signal fingerprint characteristic information in described read signal fingerprint database, also comprises:
Described detection signal characteristic information is deposited in buffering area;
Read successively the described detection signal characteristic information depositing in buffering area.
4. method according to claim 1 and 2, is characterized in that, the similarity of the described detection signal feature of described calculating and described position coherent signal fingerprint characteristic comprises:
Calculate the Euclidean distance of described detection signal feature and described position coherent signal fingerprint characteristic;
According to the signal characteristic of all subcarriers in described detection signal feature, calculate detection signal sequence matrix, according to described position coherent signal fingerprint characteristic calculating location coherent signal sequence matrix, calculate the cosine similarity of described detection signal sequence matrix and described position coherent signal sequence matrix;
According to described Euclidean distance and described cosine similarity, calculate the value of the ratio maximum of described cosine similarity and described Euclidean distance, the value of the ratio maximum of described cosine similarity and described Euclidean distance is the similarity of described detection signal feature and described position coherent signal fingerprint characteristic.
5. a device for human detection and location, is characterized in that, described device comprises:
Receiver module, for receiving detection signal characteristic information, described signal characteristic is the channel condition information amplitude of each subcarrier in ofdm system;
Read module, position coherent signal fingerprint characteristic information in read signal fingerprint database, described received signals fingerprint database is for memory location coherent signal fingerprint characteristic information, and described position coherent signal fingerprint characteristic information comprises the corresponding relation of position, signal characteristic and position and signal characteristic;
Computing module, for calculating the similarity of described detection signal feature and described position coherent signal fingerprint characteristic;
Search module, for according to the similarity of described detection signal feature and described position coherent signal fingerprint characteristic, search the position coherent signal fingerprint characteristic of described similarity maximum, define without human body and position of human body.
6. device according to claim 5, is characterized in that, described device also comprises:
Build module, at haplopia under communication link, the signal characteristic when human body is positioned to assigned address is trained, and builds received signals fingerprint database.
7. according to the device described in claim 5 or 6, it is characterized in that, described device also comprises:
Cache module, for depositing described detection signal characteristic information in buffering area;
Read successively the described detection signal characteristic information depositing in buffering area.
8. according to the device described in claim 5 or 6, it is characterized in that, described computing module comprises:
The first calculating sub module, for calculating the Euclidean distance of described detection signal feature and described position coherent signal fingerprint characteristic;
The second calculating sub module, for calculating detection signal sequence matrix according to the signal characteristic of all subcarriers of described detection signal feature, according to described position coherent signal fingerprint characteristic calculating location coherent signal sequence matrix, calculate the cosine similarity of described detection signal sequence matrix and described position coherent signal sequence matrix;
The 3rd calculating sub module, be used for according to described Euclidean distance and described cosine similarity, calculate the value of the ratio maximum of described cosine similarity and described Euclidean distance, the value of the ratio maximum of described cosine similarity and described Euclidean distance is the similarity of described detection signal feature and described position coherent signal fingerprint characteristic.
9. a system for human detection and location, is characterized in that, described system comprises the human detection described in any one and the device of location in signal transmitter, signal receiver, received signals fingerprint database and claim 5-8;
Described received signals fingerprint database is for memory location coherent signal fingerprint characteristic information, described position coherent signal fingerprint characteristic information comprises the corresponding relation of position, signal characteristic and position and signal characteristic, and described signal characteristic is the channel condition information amplitude of each subcarrier in ofdm system;
Described signal transmitter transmitting 802.11n protocol signal, described signal receiver extracts detection signal characteristic information and described detected signal information is sent to the device of described human detection and location after the 802.11n protocol signal that receives transmitter transmitting, and the device of described human detection and location defines without human body and position of human body according to the position coherent signal fingerprint characteristic information in described detection signal characteristic information and described received signals fingerprint database.
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