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 PDF

Info

Publication number
CN114598407B
CN114598407B CN202210098075.2A CN202210098075A CN114598407B CN 114598407 B CN114598407 B CN 114598407B CN 202210098075 A CN202210098075 A CN 202210098075A CN 114598407 B CN114598407 B CN 114598407B
Authority
CN
China
Prior art keywords
path loss
receiving end
antenna receiving
height
antenna
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202210098075.2A
Other languages
Chinese (zh)
Other versions
CN114598407A (en
Inventor
杨丽花
杨钦
魏苏皖
薛寒
常浩飞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Posts and Telecommunications
Original Assignee
Nanjing University of Posts and Telecommunications
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing University of Posts and Telecommunications filed Critical Nanjing University of Posts and Telecommunications
Priority to CN202210098075.2A priority Critical patent/CN114598407B/en
Publication of CN114598407A publication Critical patent/CN114598407A/en
Application granted granted Critical
Publication of CN114598407B publication Critical patent/CN114598407B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/391Modelling the propagation channel
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/18Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B13/00Transmission systems characterised by the medium used for transmission, not provided for in groups H04B3/00 - H04B11/00
    • H04B13/005Transmission systems in which the medium consists of the human body
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22Traffic simulation tools or models
    • H04W16/225Traffic simulation tools or models for indoor or short range network
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/02CAD in a network environment, e.g. collaborative CAD or distributed simulation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • General Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

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

Modeling method and device for path loss of indoor high-frequency band in-vitro channel
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:
Figure BDA0003491306640000031
in the method, in the process of the invention,
Figure BDA0003491306640000032
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,/->
Figure BDA0003491306640000033
A and->
Figure BDA0003491306640000034
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.
Drawings
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:
Figure BDA0003491306640000061
in the method, in the process of the invention,
Figure BDA0003491306640000062
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,/->
Figure BDA0003491306640000063
A and->
Figure BDA0003491306640000064
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:
Figure QLYQS_1
in the method, in the process of the invention,
Figure QLYQS_3
for reference distance->
Figure QLYQS_6
For the distance between the antenna transceiver ends, < >>
Figure QLYQS_9
To be at the reference distance->
Figure QLYQS_4
Path loss value at>
Figure QLYQS_8
At a distance->
Figure QLYQS_12
Path loss value at>
Figure QLYQS_15
For the antenna receiving end height, < >>
Figure QLYQS_2
For antenna receiving end height->
Figure QLYQS_7
Path loss index,/, of%>
Figure QLYQS_11
For antenna receiving end height->
Figure QLYQS_14
Is a path loss of (a); />
Figure QLYQS_5
Shadow fading +.>
Figure QLYQS_10
The compliance mean is zero, the standard deviation is +.>
Figure QLYQS_13
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:
Figure QLYQS_16
in the method, in the process of the invention,
Figure QLYQS_18
at a distance->
Figure QLYQS_21
Average pathloss value at ∈j->
Figure QLYQS_25
For grid points +.>
Figure QLYQS_20
For the total number of grid points +>
Figure QLYQS_24
For the number of measurements of the antenna receiver at the grid point, < >>
Figure QLYQS_28
The total measurement times of the antenna receiving end at grid points are obtained; />
Figure QLYQS_30
Is->
Figure QLYQS_17
Mesh point->
Figure QLYQS_22
Frequency response of secondary measurement, +.>
Figure QLYQS_26
,/>
Figure QLYQS_29
And->
Figure QLYQS_19
Respectively +.>
Figure QLYQS_23
Mesh point->
Figure QLYQS_27
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:
Figure QLYQS_31
in the method, in the process of the invention,
Figure QLYQS_33
for reference distance->
Figure QLYQS_37
For the distance between the antenna transceiver ends, < >>
Figure QLYQS_40
To be at the reference distance->
Figure QLYQS_34
Path loss value at>
Figure QLYQS_36
At a distance->
Figure QLYQS_39
A path loss value at; />
Figure QLYQS_41
Shadow fading +.>
Figure QLYQS_32
The compliance mean is zero, the standard deviation is +.>
Figure QLYQS_35
Is a normal distribution of (2); />
Figure QLYQS_38
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:
Figure QLYQS_42
in the method, in the process of the invention,
Figure QLYQS_43
for the antenna receiving end height, < >>
Figure QLYQS_44
For antenna receiving end height->
Figure QLYQS_45
Is a path loss index of (c).
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:
Figure QLYQS_46
in the method, in the process of the invention,
Figure QLYQS_48
for reference distance->
Figure QLYQS_50
For the distance between the antenna transceiver ends, < >>
Figure QLYQS_53
To be at the reference distance->
Figure QLYQS_47
Path loss value at>
Figure QLYQS_51
At a distance->
Figure QLYQS_54
Path loss value at>
Figure QLYQS_56
For antenna receiving end height->
Figure QLYQS_49
Is used for the transmission of the data,
Figure QLYQS_52
for antenna receiving end height->
Figure QLYQS_55
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:
Figure QLYQS_57
in the method, in the process of the invention,
Figure QLYQS_58
for the antenna receiving end height, < >>
Figure QLYQS_59
For antenna receiving end height->
Figure QLYQS_60
Is used for the path loss of the optical fiber.
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:
Figure QLYQS_61
in the method, in the process of the invention,
Figure QLYQS_63
for reference distance->
Figure QLYQS_67
For the distance between the antenna transceiver ends, < >>
Figure QLYQS_70
To be at the reference distance->
Figure QLYQS_62
Path loss value at>
Figure QLYQS_65
At a distance->
Figure QLYQS_68
Path loss value at>
Figure QLYQS_71
The height of the antenna receiving end is set; />
Figure QLYQS_64
Shadow fading
Figure QLYQS_66
The compliance mean is zero, the standard deviation is +.>
Figure QLYQS_69
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.
CN202210098075.2A 2022-01-27 2022-01-27 Modeling method and device for path loss of indoor high-frequency band in-vitro channel Active CN114598407B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210098075.2A CN114598407B (en) 2022-01-27 2022-01-27 Modeling method and device for path loss of indoor high-frequency band in-vitro channel

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210098075.2A CN114598407B (en) 2022-01-27 2022-01-27 Modeling method and device for path loss of indoor high-frequency band in-vitro channel

Publications (2)

Publication Number Publication Date
CN114598407A CN114598407A (en) 2022-06-07
CN114598407B true CN114598407B (en) 2023-06-23

Family

ID=81806909

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210098075.2A Active CN114598407B (en) 2022-01-27 2022-01-27 Modeling method and device for path loss of indoor high-frequency band in-vitro channel

Country Status (1)

Country Link
CN (1) CN114598407B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8131312B2 (en) * 2010-05-24 2012-03-06 Nice Systems Ltd. Method and system for construction of radio environment model
US9008588B2 (en) * 2013-05-21 2015-04-14 International Business Machines Corporation System and method for the calibration and verification of wireless networks with control network

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Also Published As

Publication number Publication date
CN114598407A (en) 2022-06-07

Similar Documents

Publication Publication Date Title
WO2015184961A1 (en) Mitigating signal noise for fingerprint-based indoor localization
EP2879423B1 (en) Radio frequency spectrum management apparatus, method and secondary user apparatus
CN110213003B (en) Wireless channel large-scale fading modeling method and device
CN105163344A (en) Method for positioning TD-LTE intra-system interference
WO2022022486A1 (en) Processing method and processing apparatus for saving energy of base station
CN113179140A (en) High-frequency band channel modeling method and device based on shelter attenuation factor
CN114448531B (en) Channel characteristic analysis method, system, medium, equipment and processing terminal
CN108243447A (en) The localization method and device of a kind of external disturbance
CN109150263B (en) Three-dimensional channel reconstruction method and device based on multi-probe darkroom
CN113438658B (en) Method and device for determining coverage area of base station
CN112448732A (en) Radio frequency exposure control method and device of wireless equipment and wireless equipment
CN114598407B (en) Modeling method and device for path loss of indoor high-frequency band in-vitro channel
CN106412817B (en) A kind of localization method and its device of mobile terminal
CN111010248B (en) Base station electromagnetic radiation prediction method based on building
CN103297989B (en) K factor model construction method is become time under a kind of elevated bridge of high speed railway scene
CN113038487B (en) Communication network coverage optimization method and device
KR101694521B1 (en) Apparatus and method for generating radio fingerprint map
CN109982246B (en) Method, device and medium for adjusting power of cellular cell
CN111225384A (en) Uplink interference modeling method, interference determining method and device
CN107371235B (en) User terminal positioning method and device
CN109996253A (en) A kind of rational appraisal procedure of cell signal coverage area and device
Tai et al. Effects of crowd density on radio propagation at 24 GHz in a pedestrian tunnel for 5G communications
CN104185202B (en) The determination method of Reference Signal Received Power
CN116801268B (en) Millimeter wave frequency band indoor multi-base station position optimization method based on ray tracing
US9692465B1 (en) Aggregate interference model and use thereof to evaluate performance of a receiver

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant