CN116614193A - Communication environment simulation test method for simulating real-time transmitting gain of antenna - Google Patents
Communication environment simulation test method for simulating real-time transmitting gain of antenna Download PDFInfo
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Abstract
The invention discloses a communication environment simulation test method for simulating real-time emission gain of an antenna, which relates to the technical field of short-distance wireless communication channel simulation, and can simulate the whole process of communication transmission of an air node more truly under the condition of finer granularity by calculating the simulation and dynamic change of the antenna gain of a meteorological environment in different moments and spatial positions, simulate the influence of the antenna emission gain change caused by complex node movement on the communication, obtain more accurate and real simulation results and have wide application prospects in the field of wireless communication.
Description
Technical Field
The invention relates to the technical field of short-distance wireless communication channel simulation, is suitable for simulating communication effects among radio nodes in different meteorological environments, and particularly relates to a communication environment simulation test method for simulating real-time transmission gain of an antenna.
Background
With the rapid development of wireless networking communication technology, networks have become an integral part of production and life. The radio transmission equipment can face different weather conditions in the use process, and different meteorological environments can influence wireless communication to different degrees. In a moving platform environment, networking equipment often needs to face a relatively complex use environment and antenna emission gain changing at moment, the application time of most wireless networking equipment is relatively short, the requirement on the stability of network transmission is high, and the change of the use environment and the abrupt change of the antenna emission gain can cause great influence on the wireless networking equipment. Therefore, the wireless networking equipment needs to be subjected to an environment-based test before being put into use so as to ensure the reliability of the equipment, the actual environment test cost is higher, the time period is longer, and the requirements of rapid iterative development of equipment products are difficult to adapt, so that a communication environment simulation test method for simulating the real-time emission gain of an antenna is needed, and the communication performance of a communication assembly under different meteorological environments is detected.
The current short-distance communication channel simulation method mainly focuses on interference of interference objects and electromagnetic interference in the environment to communication transmission, for example, patent 201810443296.2 mainly considers interference of multipath effect generated by scattering or reflection of objects in the environment to a wireless channel. In the actual environment, different weather environments can generate different communication channel environments, and the communication channel environments are different from external interference in that the communication channel has certain time variability and non-uniformity in spatial distribution. For fast moving wireless communication nodes, inconsistent communication channel environments in space can have a large influence on communication transmission, and meanwhile, due to the time variability of the air node gestures, communication links among nodes also change at the time, so that the change of the antenna emission gain has a certain influence on wireless communication. The existing method cannot simulate the communication process that the antenna emission gain and the environment change simultaneously, so a communication environment simulation test method for simulating the antenna real-time emission gain is needed to simulate and test the working performance of the small-sized short-range wireless communication equipment.
Disclosure of Invention
In view of the above, the invention provides a communication environment simulation test method for simulating the real-time transmission gain of an antenna, which can solve the problem of communication simulation test of an aerial wireless communication node under different meteorological conditions, actually considers the influence of the antenna posture change on the transmission gain, and provides a certain basis for the design of communication stability under a time-varying environment.
In order to achieve the above purpose, the technical scheme of the invention comprises the following steps:
step 1: setting initial parameters, and generating an antenna gain space distribution function based on antenna appearance parameters of the communication nodes; in the antenna gain space distribution function, discretizing operation is carried out on the antenna transmitting gain which is continuously distributed to generate a discrete distribution function.
Step 2: and generating a communication transmission environment distribution model with a certain spatial distribution according to the initially set weather type, the severity and the approximate range of the spatial movement of the nodes.
Step 3: generating a motion gesture function of the communication node; generating a gesture and position matrix of the communication node at the next moment with a set time interval from the current moment by a motion gesture function brought by the motion parameters of the communication node at the current moment; different communication nodes can generate different gesture and position matrixes corresponding to the communication nodes by adopting motion gesture functions called by different input parameters.
Step 4: calculating propagation paths among the communication nodes according to the gestures of the different communication nodes obtained in the step 3, and constructing an antenna gesture matrix; and carrying the antenna attitude matrix into an antenna gain space distribution function, and calculating the antenna transmission gains of communication transmission among different communication nodes.
Step 5: according to the communication transmission environment distribution model in the step 2, the position matrix of each communication node at the current moment in the step 3 and the propagation paths among the communication nodes in the step 4, the influence of different meteorological natural environments on wireless communication is calculated, and a transmission channel attenuation value is generated.
Step 6: and each communication node performs data communication, completes decoding and checking of the data at a data receiving end, and records the error rate and the current moment of the data.
Step 7: judging whether the node reaches the target point or not, if not, returning to the motion gesture function in the step 3 to generate new position gesture information of each communication node, and repeating the processes of the steps 4-6; and if the target point is reached, ending the communication simulation test.
Further, in step 1, the set initial parameters include: the initial spatial position, the gesture, the spatial position information of the target point, the weather type, the severity, the meteorological environment influence range and the motion model of each node reaching the target point of each communication node.
Further, in step 1, an antenna gain spatial distribution function is generated based on the antenna profile parameters of the communication node, specifically: setting initial spatial position and posture of each communication node, spatial position information of target point and motion model of each node reaching target point according to initial position, target point position or area of simulation node, motion mode of communication node from initial position to target pointAnd center frequency->The method comprises the steps of carrying out a first treatment on the surface of the And setting the weather type, the severity and the meteorological environment influence range of the simulation area according to the area related to the node movement. According to an antenna gain distribution function obtained by Ansys software simulation or a spherical near field test system, carrying out discrete division on antenna space gain according to a certain angular resolution, generating a discrete distribution function, and if a certain rotation angle exists between an antenna coordinate system and a node self-posture coordinate system, carrying out coordinate axis rotation according to the direction of the node posture coordinate axis to unify antenna attenuation distribution coordinate axes.
Further, the communication transmission environment distribution model in step 2 includes: channel transmission model under clear sky environment, channel transmission model under rainfall environment, channel transmission model under sand and dust environment, channel transmission model under cloud and fog environment, and channel transmission model under snowfall environment.
Further, the channel transmission model in the rainfall environment is as follows:
wherein the method comprises the steps ofFor the channel transmission model in rainfall environment, the inter-coordinate +.>Representing the start of transmission, spatial coordinates +.>Indicating the end of the transmission, +.>Representing the signal attenuation coefficient, ">Representing propagation link length, +.>Representing shape parameters +.>Proportional parameter representing the distribution of raindrops, +.>Represents electromagnetic wave attenuation caused by rainfall, +.>Andrepresenting parameters related to the frequency and polarization of the electromagnetic wave.
Further, the motion gesture function in step 3 is generated according to the motion model corresponding to each communication node, specifically, the motion models under different spatial domains or time domains are set according to different motion modes of the aerial communication node, and the motion models are formed into the piecewise function to generate the motion gesture function of the communication node, so that the motion gesture function is composed of a plurality of functions, the motion gesture function of the next motion state is called after the communication node performs corresponding actions, and complex communication node motions can be simulated through the mode.
Further, in step 5, the transmission channel attenuation value is:
wherein the method comprises the steps ofFor transmission channel attenuation values, < >>Representing the center frequency of each communication node, +.>Representing the antenna gain of the communication transmission between the different communication nodes calculated in step 4, +.>Representing the propagation paths between the communication nodes,representing the communication transmission environment distribution model generated in the step 2, namely a probability density function of the channel state;
controlling attenuation value of the digital attenuator according to the antenna transmission gain in step 4 and the environmental transmission gain in step 5, when transmitting the channel attenuation valueAnd when the set value is exceeded, the set state of the digital attenuator is blocked, namely the communication disconnection state.
The beneficial effects are that:
the invention provides a communication environment simulation test method for simulating antenna real-time emission gain, which can simulate the whole process of air node communication transmission more truly under the condition of finer granularity by calculating antenna gains of simulation and dynamic change of weather environments in different moments and space positions, can simulate the influence of antenna emission gain change caused by complex node movement on communication, can obtain more accurate and real simulation results, and has wide application prospect in the wireless communication field. From the civil and military application fields, the invention can be used for researching the change of communication performance of an aerial unmanned aerial vehicle platform when flying through different meteorological fields; the method can also be used for communication quality analysis of any object networked under a time-varying environmental state, such as influence of network transmission on recognition and positioning accuracy of an unmanned aerial vehicle on a target. The broad scope of application of the invention determines its great potential market value.
Drawings
FIG. 1 is a flow chart of a communication environment simulation test method for simulating real-time transmission gain of an antenna;
fig. 2 is a schematic diagram of different motion phases of a communication node.
Detailed Description
The invention will now be described in detail by way of example with reference to the accompanying drawings.
The invention provides a communication environment simulation test method for simulating real-time transmission gain of an antenna, and a flow chart of the simulation test method is shown in fig. 1. The communication simulation test method comprises the following steps:
step 1: setting initial parameters; generating a distribution function of antenna gain in space based on parameters such as antenna shape of a communication nodeWherein->Representing the distribution of the antenna gain along the x-axis of the antenna E-plane, for example>Representing the distribution of the antenna gain along the y-axis of the antenna E-plane, for example>Representing the distribution of antenna gain along the normal z-axis on the H-plane; is continuous for antennas in the antenna gain spatial distribution functionThe distributed gain requires a discretization operation to generate a discrete distribution function.
Specifically, the initial spatial position and posture of each communication node, the spatial position information of the target point, and the motion model (such as parabolic model, free fall model, etc.) of each node to the target point are set according to the initial position of the simulation node, the target point position or area, the motion mode of the communication node from the initial position to the target point, the initial spatial position and posture of each communication node, the spatial position information of the target point, and the motion model (such as parabolic model, free fall model, etc.) of each communication nodeAnd center frequency->The method comprises the steps of carrying out a first treatment on the surface of the And setting weather types, severity and weather environment influence ranges (such as rainfall, snowfall, sand dust and cloud influence ranges) of the simulation areas according to the areas involved in the node movement.
According to an antenna gain distribution function obtained by Ansys software simulation or a spherical near field test system, carrying out discrete division on antenna space gain according to a certain angular resolution, generating a discrete distribution function, and if a certain rotation angle exists between an antenna coordinate system and a node self-posture coordinate system, carrying out coordinate axis rotation according to the direction of the node posture coordinate axis to unify antenna attenuation distribution coordinate axes.
Step 2: generating a communication transmission environment distribution model with certain spatial distribution according to the initially set weather type, the severity and the approximate range of the spatial movement of the nodesIn which the space coordinatesRepresenting the start of transmission, spatial coordinates +.>Indicating the end of the transmission.
Specifically, according to the set weather type and the severity, the electromagnetic energy absorption of the natural environment in the space is calculatedEnvironmental attenuation influence caused by receiving and scattering effect and generating communication transmission environment distribution model with certain space distribution. Taking the rainfall environment as an example, for a rainfall random atmospheric propagation channel, the signal received by a node can be regarded as the sum of the random noise and the product of the rainfall random channel state and the strength of the transmitted signal, namely->In the formula->Indicating rainfall random channel status,/>Representing the transmitted signal strength,/->Representing additive random gaussian white noise. Rainfall random channel state +.>Can be expressed as:
wherein:representing the signal attenuation coefficient, ">The probability density function of the channel state can be obtained by using the probability density function of the inverse function of the channel state and bringing the signal attenuation rate to represent the propagation link length
Wherein the method comprises the steps ofRepresenting a probability density function of rainfall attenuation, the signal attenuation over the entire transmission channel can be seen as the sum of the rainfall rate attenuations in the areas divided by a certain size. Regarding the rainfall rate attenuation in each area, considering that the rainfall rate in the area obeys the Weber distribution form, the statistical characteristic of the electromagnetic wave characteristic attenuation caused by rainfall also approximately meets the Weber distribution, and the rainfall rate is set as +.>It satisfies the weibull distribution probability density function of
Wherein the method comprises the steps ofIs raindrop radius>Representing shape parameters +.>The ratio parameter of the distribution of raindrops can be represented, and the rainfall rate can be obtained according to the relation between the rainfall characteristic attenuation and the rainfall intensity>The probability density expression of (2) is:
wherein the method comprises the steps ofRepresents electromagnetic wave attenuation caused by rainfall, +.>And->Representing parameters related to the frequency and polarization of electromagnetic waves, due to the fact that +.>Rainfall characteristic decay function->Also approximately satisfying the weibull distribution, the cumulative distribution function of rainfall attenuation is:
wherein the method comprises the steps ofIndicating the specific value of the attenuation. The rainfall attenuation probability density function is:
due to the position of the motion node in space and the time-varying nature of the channel transmission path, spatial coordinates are utilizedRepresenting the start of transmission, spatial coordinates +.>Representing the end of the transmission, the node for each channel simulation can be expressed as:
the probability density function of the channel state (channel attenuation) can be expressed as:
step 3: generating motion gesture functions for communication nodesWherein->Representing different motion models, +.>Representing the speed of a communication node along the spatial coordinates +.>Component of axial direction, ++>Representing the speed of a communication node along the spatial coordinates +.>Component of axial direction, ++>Representing the speed of a communication node along the spatial coordinates +.>The component of the axial direction is,respectively representing a pitch angle, a sideslip angle and a yaw angle of the communication node; by giving the current moment +>The motion gesture function brought by the motion parameters of the communication node can generate the distance +.>Next moment of time interval +.>A matrix of gestures and positions of the communication nodes; different communication nodes can generate different gesture and position matrixes of the corresponding nodes by adopting motion gesture functions called by different input parameters;
specifically, motion models in different spatial domains or time domains are set according to different motion modes of the aerial communication node, and the motion models are formed into piecewise functions to generate a motion gesture function of the communication node. The boundaries of different time domains or space domains can be divided according to the actions of the nodes or preset boundaries, as shown in fig. 2, taking a communication node equipped with free falling motion of a drogue as an example, setting the opening height of the communication node to be 600m, separating the drogue after 10s after opening the drogue, and dividing the node falling process into three stages according to the data, respectively using a free falling model before parachute opening, a decelerating motion model after parachute opening and a free falling model after parachute opening, wherein the space domain boundary is 600m, the time domain boundary is 10s after parachute opening, segmenting the motion gesture function according to the boundary, and calling different motion gesture models at corresponding stages.
Step 4: calculating propagation paths among the communication nodes according to the gesture data of the different communication nodes obtained in the step 3Generating a size of +.>The antenna gesture matrix is constructed by calculating the antenna gesture of the node 1 when the node 2, the node 3, the node … and the node n are communicated line by line, and the antenna gesture matrix is constructed because the node 1 and the node 1 have no communication link, namely, the value 1 on the diagonal line of the antenna gesture matrix indicates that the gesture has no influence on communication; the antenna attitude matrix is brought into the distribution function in the step 1 to calculate the antenna gains of communication transmission among different communication nodes;
step 5: according to the communication transmission environment distribution model in the step 2, the position matrix of each communication node at the current moment in the step 3 and the propagation paths among the nodes in the step 4, the influence of different meteorological natural environments on wireless communication is calculated, and the transmission channel attenuation value is calculated by using the following formula:
wherein the method comprises the steps ofRepresenting the center frequency of each communication node, +.>Representing the antenna gain of the communication transmission between the different communication nodes calculated in step 4, +.>Representing propagation paths between the communication nodes, +.>The probability density function representing the channel state (channel attenuation) generated in step 2.
Controlling attenuation value of the digital attenuator according to the antenna transmission gain in step 4 and the environmental transmission gain in step 5, when transmitting the channel attenuation valueIf the number exceeds 200dBm, the digital attenuator is set to be in a blocking state, namely a communication blocking state.
Step 6: each communication node performs data communication, completes decoding and checking of data at a data receiving end, and records the error rate and the current moment of the data;
step 7: judging whether the nodes reach the target points or not, if not, iterating the motion gesture function in the step 3 to generate new position gesture information of each node, and repeating the processes of the steps 4-6; and if the target point is reached, ending the communication simulation test.
In summary, the above embodiments are only preferred embodiments of the present invention, and are not intended to limit the scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A communication environment simulation test method for simulating real-time emission gain of an antenna is characterized by comprising the following steps:
step 1: setting initial parameters, and generating an antenna gain space distribution function based on antenna appearance parameters of the communication nodes; in the antenna gain space distribution function, discretizing operation is carried out on the antenna emission gains which are continuously distributed to generate a discrete distribution function;
step 2: generating a communication transmission environment distribution model with certain spatial distribution according to the initially set weather type, the severe degree and the approximate range of the spatial movement of the nodes;
step 3: generating a motion gesture function of the communication node; generating a gesture and position matrix of the communication node at the next moment with a set time interval from the current moment by bringing the motion parameters of the communication node at the current moment into the motion gesture function; different communication nodes can generate different gesture and position matrixes corresponding to the communication nodes by adopting different input parameters to call the motion gesture function;
step 4: calculating propagation paths among the communication nodes according to the gestures of the different communication nodes obtained in the step 3, and constructing an antenna gesture matrix; bringing the antenna attitude matrix into the antenna gain space distribution function, and calculating antenna transmission gains of communication transmission among different communication nodes;
step 5: calculating the influence of different meteorological natural environments on wireless communication according to the communication transmission environment distribution model in the step 2, the position matrix of each communication node in the step 3 at the current moment and the propagation paths among the communication nodes in the step 4, and generating a transmission channel attenuation value;
step 6: each communication node performs data communication, completes decoding and checking of data at a data receiving end, and records the error rate and the current moment of the data;
step 7: judging whether the node reaches the target point or not, if not, returning to the motion gesture function in the step 3 to generate new position gesture information of each communication node, and repeating the processes of the steps 4-6; and if the target point is reached, ending the communication simulation test.
2. The method for simulating communication environment for simulating real-time transmission gain of antenna according to claim 1, wherein in step 1, the set initial parameters include: the initial spatial position, the gesture, the spatial position information of the target point, the weather type, the severity, the meteorological environment influence range and the motion model of each node reaching the target point of each communication node.
3. The method for simulating the communication environment of real-time transmission gain of an analog antenna according to claim 1, wherein in the step 1, an antenna gain spatial distribution function is generated based on antenna profile parameters of a communication node, specifically:
setting initial spatial position and posture of each communication node, spatial position information of target point and motion model of each node reaching target point according to initial position, target point position or area of simulation node, motion mode of communication node from initial position to target pointAnd center frequency->The method comprises the steps of carrying out a first treatment on the surface of the Setting the weather type, the severity and the weather environment influence range of a simulation area according to the area related to the node movement;
according to an antenna gain distribution function obtained by Ansys software simulation or a spherical near field test system, carrying out discrete division on antenna space gain according to a certain angular resolution, generating a discrete distribution function, and if a certain rotation angle exists between an antenna coordinate system and a node self-posture coordinate system, carrying out coordinate axis rotation according to the direction of the node posture coordinate axis to unify antenna attenuation distribution coordinate axes.
4. The method for simulating the communication environment for testing the real-time transmission gain of the analog antenna according to claim 1, wherein the communication transmission environment distribution model in the step 2 comprises: channel transmission model under clear sky environment, channel transmission model under rainfall environment, channel transmission model under sand and dust environment, channel transmission model under cloud and fog environment, and channel transmission model under snowfall environment.
5. The method for simulating and testing the communication environment for simulating the real-time transmission gain of the antenna according to claim 4, wherein the channel transmission model in the rainfall environment is as follows:
wherein the method comprises the steps ofFor the channel transmission model in rainfall environment, the inter-coordinate +.>Representing the start of transmission, spatial coordinates +.>Indicating the end of the transmission, +.>Representing the signal attenuation coefficient, ">Representing propagation link length, +.>Representing shape parameters +.>Proportional parameter representing the distribution of raindrops, +.>Represents electromagnetic wave attenuation caused by rainfall, +.>And->Representing parameters related to the frequency and polarization of the electromagnetic wave.
6. The method for simulating the communication environment by simulating the real-time transmission gain of the antenna according to claim 1, wherein the motion gesture function in the step 3 is generated according to the motion model corresponding to each communication node, specifically, the motion models under different spatial domains or time domains are set according to different motion modes of the aerial communication node, and the motion models form a piecewise function to generate the motion gesture function of the communication node, and the motion gesture function is composed of a plurality of functions, and the motion gesture function of the next motion state is called after the corresponding action is performed by the communication node, so that the complex communication node motion can be simulated through the mode.
7. The method for simulating the communication environment for simulating the real-time transmission gain of the antenna according to claim 1, wherein in the step 5, the transmission channel attenuation value is:
wherein the method comprises the steps ofFor transmission channel attenuation values, < >>Representing the center frequency of each communication node, +.>Representing the antenna gain of the communication transmission between the different communication nodes calculated in step 4, +.>Representing the propagation paths between the communication nodes,representing the communication transmission environment distribution model generated in the step 2, namely a probability density function of the channel state;
controlling the attenuation value of the digital attenuator according to the antenna transmission gain in the step 4 and the environmental transmission gain in the step 5, when the attenuation value of the transmission channel isAnd when the set value is exceeded, the set state of the digital attenuator is blocked, namely the communication disconnection state.
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