CN114598407B - Modeling method and device for path loss of indoor high-frequency band in-vitro channel - Google Patents
Modeling method and device for path loss of indoor high-frequency band in-vitro channel Download PDFInfo
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Abstract
The invention discloses a modeling method and a device for path loss of an indoor high-frequency band in-vitro channel, wherein the method comprises the following steps: constructing a path loss initial model according to the propagation characteristics of the indoor high-frequency band in-vitro channel; constructing a test scene of an in-vitro channel of an indoor high-frequency wireless body area network; acquiring measurement data of an antenna receiving end in a test scene and calculating average path loss; calculating a path loss index value according to the average path loss and the logarithmic distance loss model; fitting a path loss index by a least square method according to the path loss index value and the antenna receiving end height; calculating a path loss model according to the path loss index and the path loss initial model; fitting the path loss by a least square method according to the path loss model value and the antenna receiving end height obtained by the path loss model; constructing an indoor high-frequency band in-vitro channel path loss model according to the path loss index, the path loss and the path loss initial model; the invention can improve the accuracy of the path loss model.
Description
Technical Field
The invention relates to a modeling method and device for path loss of an indoor high-frequency band in-vitro channel, and belongs to the technical field of wireless communication.
Background
A wireless body area network is a special wireless communication system that targets devices around a human body, inside the human body, and the like. Due to the rapid development of wireless communication technology, wireless body area networks are realized and rapidly developed, and wireless body area networks are widely applied in the fields of medical care, consumer electronics, entertainment, sports, military and the like nowadays, and particularly in the field of medical care, along with the acceleration of population aging in China and the increase of chronic patients, wireless body area networks play a great role in the field. However, as mass equipment such as mobile phones, tablet computers, smart home and unmanned operation is accessed, and demands of end users for service quality and instant messaging are continuously increased, low-frequency spectrum resources are gradually crowded, and the problem of spectrum resource shortage is increasingly serious, so that the access demands of future mass wireless body area network equipment cannot be met. The high-frequency band has low spectrum occupation and large bandwidth, and can solve the problem of current spectrum resource shortage to a certain extent, so that the exploration of the high-frequency band wireless body area network communication has important significance.
The indoor environment is one of typical application scenes of the wireless body area network and is a main scene of people production and life, so that research on indoor high-frequency-band wireless body area network communication has important significance. Since channel transmission characteristics are key to design a communication system, it is necessary to study channel propagation characteristics of an indoor high-band wireless body area network. At present, researches on the channel propagation characteristics of an indoor wireless body area network are mostly explored for frequency bands below 9GHz, and researches on the channel propagation characteristics of an indoor high-frequency band wireless body area network of 9GHz and above are few. Because the low-frequency band spectrum resources are very crowded at present, the development and the application of the wireless body area network are not facilitated, and the high-frequency band is relatively idle, so that continuous large-bandwidth spectrum resources can be provided. However, since the height of the device on the human body is not fixed in real life, it is usually located at different positions of the human body, which causes a change in the propagation characteristics of the channel, and the existing studies do not consider the influence of the receiving end on the channel characteristics when the receiving end is located at different heights of the body. Therefore, the research on the propagation characteristics of the in-vitro channel with the receiving end at different heights of the body in the indoor high-frequency wireless body area network is significant.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a modeling method and device for indoor high-frequency-band in-vitro channel path loss.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the present invention provides a modeling method for path loss of an indoor high-band in-vitro channel, including:
constructing a path loss initial model based on the height of an antenna receiving end according to the propagation characteristics of an indoor high-frequency band in-vitro channel;
setting up a test scene of an in-vitro channel of an indoor high-frequency wireless body area network through an antenna transmitting end and an antenna receiving end;
acquiring measurement data of an antenna receiving end in a test scene and calculating average path loss based on the height of the antenna receiving end;
calculating a path loss index value based on the height of the antenna receiving end according to the average path loss and the logarithmic distance loss model based on the height of the antenna receiving end;
fitting a path loss index based on the antenna receiving end height by a least square method according to the path loss index value based on the antenna receiving end height and the antenna receiving end height;
calculating a path loss model based on the antenna receiving end height according to the path loss index and the path loss initial model based on the antenna receiving end height;
fitting the path loss based on the antenna receiving end height by a least square method according to the path loss model based on the antenna receiving end height and the path loss model based on the antenna receiving end height;
and constructing an indoor high-frequency band in-vitro channel path loss model according to the path loss index based on the height of the antenna receiving end, the path loss based on the height of the antenna receiving end and the path loss initial model.
Optionally, the path loss initial model is:
PL(d)=PL(d 0 )+10N(h)log(d/d 0 )+PLH(h)+X σ
wherein d 0 As the reference distance, d is the distance between the antenna transceiver, PL (d 0 ) At a reference distance d 0 Path loss atThe value of the path loss of PL (d) at the distance d, h is the antenna receiving end height, N (h) is the path loss index of the antenna receiving end height h, and PLH (h) is the path loss of the antenna receiving end height h; x is X σ Shadow fading X σ Obeying a normal distribution with a mean of zero and a standard deviation sigma.
Optionally, the setting up a test scenario of an in-vitro channel of an indoor high-frequency wireless body area network includes:
fixing an antenna transmitting end to a preset fixed point, wherein the height of the antenna transmitting end is 1m;
moving linearly from the interval 1m to the interval 5m by taking the fixed point as an endpoint, and setting a measuring point at intervals of 0.5 m;
setting a placement point at each measuring point along the height of 0.6m to 1.6m at intervals of 0.1 m;
setting a grid with each placement point as a center, wherein the grid comprises grid points which are arranged in 3*3, and the distance between every two adjacent grid points is 8cm;
the antenna receiving ends are sequentially arranged at the grid points based on the human body.
Optionally, the average path loss is:
in the method, in the process of the invention,the average path loss value at the distance d is j, the number of grid points is j, M is the total number of grid points, k is the measurement times of the antenna receiving end at the grid points, and N is the total measurement times of the antenna receiving end at the grid points; i H k (f j ,d)| 2 Frequency response for kth measurement of jth grid point,/->A and->Respectively j thThe amplitude and phase obtained by the kth measurement of the grid point.
Optionally, the log distance loss model is:
PL(d)=PL(d 0 )+10nlog(d/d 0 )+X σ
wherein d 0 As the reference distance, d is the distance between the antenna transceiver, PL (d 0 ) At a reference distance d 0 A path loss value at PL (d) a path loss value at distance d; x is X σ Shadow fading X σ Obeying normal distribution with the mean value being zero and the standard deviation being sigma; n is a pathloss index value based on the antenna receiver height.
Optionally, the path loss index based on the height of the antenna receiving end is:
N(h)=-3.141h 2 +5.982h-1.017
where h is the antenna receiving end height, and N (h) is the path loss index of the antenna receiving end height h.
Optionally, the path loss model based on the antenna receiving end height is:
PLH(h)=PL(d)-PL(d 0 )-10N(h)log(d/d 0 )
wherein d 0 As the reference distance, d is the distance between the antenna transceiver, PL (d 0 ) At a reference distance d 0 The path loss value at the position, PL (d) and distance d, N (h) are path loss indexes of the height h of the antenna receiving end, and PLH (h) is the path loss of the height h of the antenna receiving end.
Optionally, the path loss based on the antenna receiving end height is:
PLH(h)=20.45h 2 -38.46h+18.45
where h is the antenna receiving end height, and PLH (h) is the path loss of the antenna receiving end height h.
Optionally, the indoor high-frequency band in-vitro channel path loss model is:
PL(d)=PL(d 0 )+10(-3.141h 2 +5.982h-1.017)log(d/d 0 )+20.45h 2
-38.46h+18.45+X σ
wherein d 0 As the reference distance, d is the distance between the antenna transceiver, PL (d 0 ) At a reference distance d 0 A path loss value at a distance d, PL (d), h being an antenna receiving end height; x is X σ Shadow fading X σ Obeying a normal distribution with a mean of zero and a standard deviation sigma.
In a second aspect, the invention provides a modeling device for indoor high-frequency band in-vitro channel path loss, which comprises a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is operative according to the instructions to perform steps according to the method described above.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a modeling method and a modeling device for path loss of an indoor high-frequency band in-vitro channel, which are characterized in that firstly, the influence of antenna height on channel characteristics is analyzed by utilizing a wireless propagation theory; then correcting the path loss introduced by the antenna height change by using the path loss index related to the antenna height and the path loss caused by the height on the basis of the logarithmic distance path loss model; finally, relevant parameters of the model are determined: and the path loss index with the height and the path loss index are fitted by using a least square method to obtain an indoor high-frequency-band in-vitro channel path loss model with the influence of the antenna height, so that the influence of different antenna heights on signals in an actual scene can be more accurately represented.
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FIG. 1 is a flowchart of a modeling method for path loss of an indoor high-band in-vitro channel according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a measurement scenario provided in an embodiment of the present invention;
FIG. 3 is a schematic diagram of a grid in a measurement scenario provided by an embodiment of the present invention;
fig. 4 is a diagram showing a relationship between a path loss index and an antenna receiving end height in a measurement scenario according to an embodiment of the present invention;
fig. 5 is a diagram showing a relationship between path loss and antenna receiving end height in a measurement scenario provided by an embodiment of the present invention;
fig. 6 is a schematic diagram of a shadow fading normal distribution fitting curve of an indoor high-frequency band in-vitro channel path loss model according to an embodiment of the present invention;
FIG. 7 is a diagram illustrating a comparison between a log-distance path loss model and a path loss measurement according to an embodiment of the present invention;
fig. 8 is a schematic diagram of comparison between an indoor high-band in-vitro channel path loss model and a path loss measurement value according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
Embodiment one:
as shown in fig. 1, the invention provides a modeling method for path loss of an indoor high-frequency band in-vitro channel, which comprises the following steps:
1. constructing a path loss initial model based on the height of an antenna receiving end according to the propagation characteristics of an indoor high-frequency band in-vitro channel;
the path loss initial model is:
PL(d)=PL(d 0 )+10N(h)log(d/d 0 )+PLH(h)+X σ
wherein d 0 As the reference distance, d is the distance between the antenna transceiver, PL (d 0 ) At a reference distance d 0 The path loss value at the position, namely the path loss value of PL (d) at the position of distance d, wherein h is the height of an antenna receiving end, N (h) is the path loss index of the height h of the antenna receiving end, and PLH (h) is the path loss of the height h of the antenna receiving end; x is X σ Shadow fading X σ Compliance withThe mean is zero and the standard deviation is the normal distribution of sigma.
2. Setting up a test scene of an in-vitro channel of an indoor high-frequency wireless body area network through an antenna transmitting end and an antenna receiving end;
as shown in fig. 2-3, the test scenario of setting up an in-vitro channel of an indoor high-frequency wireless body area network includes:
fixing the antenna transmitting end at a preset fixed point, wherein the height of the antenna transmitting end is 1m;
moving linearly from the interval 1m to the interval 5m by taking the fixed point as an endpoint, and setting a measuring point at intervals of 0.5 m;
setting a placement point at each measuring point along the height of 0.6m to 1.6m at intervals of 0.1 m;
setting a grid with each placement point as the center, wherein the grid comprises grid points arranged by 3*3, and the distance between adjacent grid points is 8cm (the side length of the grid is 24 cm);
the antenna receiving ends are sequentially arranged at the grid points based on the human body.
3. Acquiring measurement data of an antenna receiving end in a test scene and calculating average path loss based on the height of the antenna receiving end;
the average path loss is:
in the method, in the process of the invention,the average path loss value at the distance d is j, the number of grid points is j, M is the total number of grid points, k is the measurement times of the antenna receiving end at the grid points, and N is the total measurement times of the antenna receiving end at the grid points; i H k (f j ,d)| 2 Frequency response for kth measurement of jth grid point,/->A and->The amplitude and phase obtained by the kth measurement of the jth grid point are respectively.
4. Calculating a path loss index value based on the height of the antenna receiving end according to the average path loss and the logarithmic distance loss model based on the height of the antenna receiving end;
the log distance loss model is:
PL(d)=PL(d 0 )+10nlog(d/d 0 )+X σ
wherein d 0 As the reference distance, d is the distance between the antenna transceiver, PL (d 0 ) At a reference distance d 0 A path loss value at PL (d) a path loss value at distance d; x is X σ Shadow fading X σ Obeying normal distribution with the mean value being zero and the standard deviation being sigma; n is a pathloss index value based on the antenna receiver height.
5. Fitting a path loss index based on the antenna receiving end height by a least square method according to the path loss index value based on the antenna receiving end height and the antenna receiving end height;
as shown in fig. 4, the path loss index based on the antenna receiving end height is:
N(h)=-3.141h 2 +5.982h-1.017
where h is the antenna receiving end height, and N (h) is the path loss index of the antenna receiving end height h.
6. Calculating a path loss model based on the antenna receiving end height according to the path loss index and the path loss initial model based on the antenna receiving end height;
the path loss model based on the antenna receiving end height is:
PLH(h)=PL(d)-PL(d 0 )-10N(h)log(d/d 0 )
wherein d 0 As the reference distance, d is the distance between the antenna transceiver, PL (d 0 ) At a reference distance d 0 The path loss value at the position, PL (d) and distance d, N (h) are path loss indexes of the height h of the antenna receiving end, and PLH (h) is the path loss of the height h of the antenna receiving end.
7. Fitting the path loss based on the antenna receiving end height by a least square method according to the path loss model based on the antenna receiving end height and the path loss model based on the antenna receiving end height;
as shown in fig. 5, the path loss based on the antenna receiving end height is:
PLH(h)=20.45h 2 -38.46h+18.45
where h is the antenna receiving end height, and PLH (h) is the path loss of the antenna receiving end height h.
8. Constructing an indoor high-frequency band in-vitro channel path loss model according to the path loss index based on the height of the antenna receiving end, and the path loss and path loss initial model based on the height of the antenna receiving end;
the indoor high-frequency band in-vitro channel path loss model is as follows:
PL(d)=PL(d 0 )+10(-3.141h 2 +5.982h-1.017)log(d/d 0 )+20.45h 2 -38.46h+18.45+X σ
wherein d 0 As the reference distance, d is the distance between the antenna transceiver, PL (d 0 ) At a reference distance d 0 A path loss value at a distance d, PL (d), h being an antenna receiving end height; x is X σ Shadow fading X σ Obeying a normal distribution with a mean of zero and a standard deviation sigma.
And (3) verifying the accuracy of an indoor high-frequency band in-vitro channel path loss model:
shadow fading X can be obtained according to indoor high-frequency band in-vitro channel path loss model σ :
X σ =PL(d)-[PL(d 0 )+(-31.41h 2 +59.82h-10.17)log(d/d 0 )+20.45h 2 -38.46h+18.45]
Using MATLAB distribution fitting to obtain shadow fading X σ The distribution of the model (1) is compared with normal distribution with the mean value of 0 and the standard deviation of sigma, and the accuracy of the proposed model is verified; as shown in fig. 6, σ= 0.5939, shadow fading X can be seen σ The zero mean normal distribution is met.
As shown in fig. 7-8, a log-distance path loss model, a comparison of the path loss model proposed in the present application with measured data is given, respectively. The path loss model provided by the method is more approximate to measurement data, and the deviation between the logarithmic distance path loss model and the measurement value is larger, so that the path loss model can more accurately represent the path loss of the receiving end antenna in the indoor body area network environment when the receiving end antenna is located at different heights of a human body.
Embodiment two:
the embodiment of the invention provides a modeling device for indoor high-frequency band in-vitro channel path loss, which comprises a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is operative in accordance with instructions to perform steps in accordance with a method as described in one implementation.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and variations could be made by those skilled in the art without departing from the technical principles of the present invention, and such modifications and variations should also be regarded as being within the scope of the invention.
Claims (9)
1. The modeling method for the path loss of the indoor high-frequency band in-vitro channel is characterized by comprising the following steps of:
constructing a path loss initial model based on the height of an antenna receiving end according to the propagation characteristics of an indoor high-frequency band in-vitro channel; the path loss initial model is:
in the method, in the process of the invention,for reference distance->For the distance between the antenna transceiver ends, < >>To be at the reference distance->Path loss value at>At a distance->Path loss value at>For the antenna receiving end height, < >>For antenna receiving end height->Path loss index,/, of%>For antenna receiving end height->Is a path loss of (a); />Shadow fading +.>The compliance mean is zero, the standard deviation is +.>Is a normal distribution of (2);
setting up a test scene of an in-vitro channel of an indoor high-frequency wireless body area network through an antenna transmitting end and an antenna receiving end;
acquiring measurement data of an antenna receiving end in a test scene and calculating average path loss based on the height of the antenna receiving end;
calculating a path loss index value based on the height of the antenna receiving end according to the average path loss and the logarithmic distance loss model based on the height of the antenna receiving end;
fitting a path loss index based on the antenna receiving end height by a least square method according to the path loss index value based on the antenna receiving end height and the antenna receiving end height;
calculating a path loss model based on the antenna receiving end height according to the path loss index and the path loss initial model based on the antenna receiving end height;
fitting the path loss based on the antenna receiving end height by a least square method according to the path loss model based on the antenna receiving end height and the path loss model based on the antenna receiving end height;
and constructing an indoor high-frequency band in-vitro channel path loss model according to the path loss index based on the height of the antenna receiving end, the path loss based on the height of the antenna receiving end and the path loss initial model.
2. The modeling method for path loss of an indoor high-frequency band in-vitro channel according to claim 1, wherein the constructing a test scene of an indoor high-frequency band wireless body area network in-vitro channel comprises:
fixing an antenna transmitting end to a preset fixed point, wherein the height of the antenna transmitting end is 1m;
moving linearly from the interval 1m to the interval 5m by taking the fixed point as an endpoint, and setting a measuring point at intervals of 0.5 m;
setting a placement point at each measuring point along the height of 0.6m to 1.6m at intervals of 0.1 m;
setting a grid with each placement point as a center, wherein the grid comprises grid points which are arranged in 3*3, and the distance between every two adjacent grid points is 8cm;
the antenna receiving ends are sequentially arranged at the grid points based on the human body.
3. The modeling method of indoor high-band off-body channel path loss according to claim 2, wherein the average path loss is:
in the method, in the process of the invention,at a distance->Average pathloss value at ∈j->For grid points +.>For the total number of grid points +>For the number of measurements of the antenna receiver at the grid point, < >>The total measurement times of the antenna receiving end at grid points are obtained; />Is->Mesh point->Frequency response of secondary measurement, +.>,/>And->Respectively +.>Mesh point->The resulting amplitude and phase are measured once.
4. The modeling method of indoor high-band in-vitro channel path loss according to claim 1, wherein the logarithmic distance loss model is:
in the method, in the process of the invention,for reference distance->For the distance between the antenna transceiver ends, < >>To be at the reference distance->Path loss value at>At a distance->A path loss value at; />Shadow fading +.>The compliance mean is zero, the standard deviation is +.>Is a normal distribution of (2); />Is a pathloss index value based on the antenna receiver height.
5. The modeling method for path loss of an indoor high-band in-vitro channel according to claim 4, wherein the path loss index based on the height of the antenna receiving end is:
6. The modeling method for path loss of an indoor high-band in-vitro channel according to claim 5, wherein the path loss model based on the height of the antenna receiving end is as follows:
in the method, in the process of the invention,for reference distance->For the distance between the antenna transceiver ends, < >>To be at the reference distance->Path loss value at>At a distance->Path loss value at>For antenna receiving end height->Is used for the transmission of the data,for antenna receiving end height->Is used for the path loss of the optical fiber.
7. The modeling method for path loss of an indoor high-band in-vitro channel according to claim 6, wherein the path loss based on the height of the antenna receiving end is:
8. The modeling method for indoor high-band in-vitro channel path loss according to claim 7, wherein the indoor high-band in-vitro channel path loss model is as follows:
in the method, in the process of the invention,for reference distance->For the distance between the antenna transceiver ends, < >>To be at the reference distance->Path loss value at>At a distance->Path loss value at>The height of the antenna receiving end is set; />Shadow fadingThe compliance mean is zero, the standard deviation is +.>Is a normal distribution of (c).
9. The modeling device for the path loss of the indoor high-frequency-band in-vitro channel is characterized by comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor being operative according to the instructions to perform the steps of the method according to any one of claims 1-8.
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CN113179140A (en) * | 2021-04-19 | 2021-07-27 | 南京邮电大学 | High-frequency band channel modeling method and device based on shelter attenuation factor |
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US5794128A (en) * | 1995-09-20 | 1998-08-11 | The United States Of America As Represented By The Secretary Of The Army | Apparatus and processes for realistic simulation of wireless information transport systems |
CN112383370A (en) * | 2020-10-30 | 2021-02-19 | 中科院计算技术研究所南京移动通信与计算创新研究院 | Modeling simulation method and system for satellite time-varying channel |
CN113179140A (en) * | 2021-04-19 | 2021-07-27 | 南京邮电大学 | High-frequency band channel modeling method and device based on shelter attenuation factor |
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