CN117278156B - Channel simulation method and device, storage medium and electronic equipment - Google Patents
Channel simulation method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The disclosure relates to the field of communications, and in particular relates to a channel simulation method, a device, a storage medium and electronic equipment, which expand the application range of channel simulation. The channel simulation method comprises the following steps: determining an initial simulation signal; determining channel simulation parameters according to the initial simulation signals; and carrying out channel simulation according to the channel simulation parameters.
Description
Technical Field
The disclosure relates to the field of communication, and in particular relates to a channel simulation method, a device, a storage medium and electronic equipment.
Background
A channel is an essential component of any communication system, and any communication system can be considered to be composed of three parts, namely a transmitting part, a channel and a receiving part, and the channel generally refers to a signal channel based on a transmission medium. In an actual communication system, the influence of a channel on signal distortion can be reduced by adjusting parameters of the communication system, but the adjustment range of the parameters of the system is limited due to the physical characteristics of a transmission medium and the limitation of electronic components adopted in the actual communication system, so that the magnitude of a reliable information transmission rate in any communication system is limited.
In the related art, a communication system is tested through channel simulation, and the purpose of the channel simulation is to simulate the influence of a transmission channel on a wireless signal, so as to test the performance of the communication system. A simple understanding is that channel simulation is to process wireless signals according to some model.
However, the channel simulation in the related art can only be used for individual special signals, and the number of paths of each path in the in-phase and quadrature phases of the signals can only be an integer or 1/2, so that the application range of the conventional channel simulation is limited.
Disclosure of Invention
The purpose of the present disclosure is to provide a channel simulation method, a device, a storage medium and an electronic apparatus, which expand the application range of channel simulation.
To achieve the above object, in a first aspect, the present disclosure provides a channel simulation method, including:
determining an initial simulation signal;
Determining channel simulation parameters according to the initial simulation signals;
And carrying out channel simulation according to the channel simulation parameters.
Optionally, the determining a channel simulation parameter according to the initial simulation signal includes:
Determining a first current path number of the multipath cluster in the in-phase and a second current path number of the multipath cluster in the orthogonal phase according to the initial simulation signal;
judging whether the first current diameter number and the second current diameter number are integers or not to obtain a judging result;
Determining a target simulation signal according to the judging result;
And determining channel simulation parameters according to the target simulation signals.
Optionally, the determining the target simulation signal according to the determination result includes:
Under the condition that the judging result is that the first current path number and/or the second current path number is a non-integer, respectively carrying out path splitting treatment on each path in the same phase and each path in the orthogonal phase to obtain a first splitting path number corresponding to the same phase and a second splitting path number corresponding to the orthogonal phase;
carrying out path merging processing on the multipath clusters corresponding to the same phase after path splitting processing according to the first splitting path number to obtain a first target path number and a second target path number corresponding to the same phase, wherein the first target path number and the second target path number are integers;
Performing path merging processing on the path splitting processed multipath clusters corresponding to the orthogonal phases according to the second splitting path number to obtain a third target path number and a fourth target path number corresponding to the orthogonal phases, wherein the third target path number and the fourth target path number are integers;
And determining a target simulation signal according to the first target path number, the second target path number, the third target path number and the fourth target path number.
Optionally, the performing path splitting processing on each path of the in-phase and each path of the quadrature phase to obtain a first splitting path number corresponding to the in-phase and a second splitting path number corresponding to the quadrature phase, including:
performing downward rounding operation and rounding operation on the first current diameter number to obtain a first intermediate parameter;
rounding the product of the first current diameter number and the first intermediate parameter to obtain a first split diameter number corresponding to the same phase;
And
Performing downward rounding operation and rounding operation on the second current diameter number to obtain a second intermediate parameter;
and rounding the product of the second current path number and the second intermediate parameter to obtain a second split path number corresponding to the orthogonal phase.
Optionally, the performing path merging processing on the multipath cluster corresponding to the same phase after the path splitting processing according to the first splitting path number to obtain a first target path number and a second target path number corresponding to the same phase includes:
Performing downward rounding operation on the first current diameter number to obtain the first target diameter number;
Obtaining the second target diameter number according to the first split diameter number and the first target diameter number;
And performing path merging processing on the path-split multipath clusters corresponding to the orthogonal phase according to the second split path number to obtain a third target path number and a fourth target path number corresponding to the orthogonal phase, wherein the path merging processing comprises the following steps:
performing downward rounding operation on the second current diameter number to obtain the third target diameter number;
And obtaining the fourth target diameter number according to the second split diameter number and the third target diameter number.
Optionally, the determining the target simulation signal according to the determination result includes:
and taking the initial simulation signal as a target simulation signal when the judgment result is that the first current diameter number and the second current diameter number are integers.
Optionally, the target simulation signal includes a simulation signal μ ', a simulation signal p ', a simulation signal q ', a simulation signal η ' and a simulation signal κ ', and the channel simulation parameters include a mean value of each path in the same phase, a mean value of each path in the quadrature phase, a variance of each path in the same phase and a variance of each path in the quadrature phase;
the determining the channel simulation parameters according to the target simulation signals comprises the following steps:
Determining the average value of each path in the in-phase according to the simulation signal q ', the simulation signal eta ' and the simulation signal kappa ';
determining the average value of each path in the orthogonal phase according to the simulation signal q ', the simulation signal eta ' and the simulation signal kappa ';
determining the variance of each diameter in the in-phase according to the simulation signal mu ', the simulation signal P', the simulation signal eta 'and the simulation signal kappa';
and determining the variance of each diameter in the orthogonal phase according to the simulation signal mu ', the simulation signal P', the simulation signal eta 'and the simulation signal kappa'.
In a second aspect, the present disclosure provides a channel simulation apparatus, comprising:
An acquisition module configured to determine an initial simulation signal;
A determining module configured to determine channel simulation parameters from the initial simulation signal;
and the execution module is configured to perform channel simulation according to the channel simulation parameters.
In a third aspect, the present disclosure provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the channel simulation method of the first aspect.
In a fourth aspect, the present disclosure provides an electronic device comprising:
a memory having a computer program stored thereon;
A processor for executing the computer program in the memory to implement the steps of the channel simulation method of the first aspect.
Through the technical scheme, the channel simulation parameters are determined according to the initial simulation signals, channel simulation is carried out according to the channel simulation parameters, the channel simulation result is not limited by the number of paths of each path in the in-phase and the quadrature phase of the signals, and the application range of the channel simulation is enlarged.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification, illustrate the disclosure and together with the description serve to explain, but do not limit the disclosure. In the drawings:
Fig. 1 is a flow chart illustrating a channel simulation method according to an exemplary embodiment of the present disclosure.
Fig. 2 is a flowchart illustrating step S12 according to an exemplary embodiment of the present disclosure.
Fig. 3 is another flow chart of a channel simulation method shown in accordance with an exemplary embodiment of the present disclosure.
Fig. 4 is a block diagram of a channel emulator shown in accordance with an exemplary embodiment of the present disclosure.
Fig. 5 is a block diagram of a channel simulation apparatus according to an exemplary embodiment of the present disclosure.
Fig. 6 is a block diagram of an electronic device, shown in accordance with an exemplary embodiment of the present disclosure.
Detailed Description
Specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
Fig. 1 is a flowchart of a channel simulation method according to an exemplary embodiment of the present disclosure, and the method is applied to a mobile terminal, where the mobile terminal includes a computer, a mobile phone, a tablet, etc., and the channel simulation method may include the following steps:
in step S11, an initial simulation signal is determined.
The initial simulation signals comprise a plurality of simulation signals of different types, and the simulation signals of different types are used as the initial simulation signals so as to realize complex channel simulation.
In step S12, channel simulation parameters are determined from the initial simulation signal.
The channel simulation parameters comprise related parameters related to channel simulation, such as mean value and variance of each path in an in-phase, mean value and variance of each path in a quadrature phase, and the like.
In step S13, channel simulation is performed based on the channel simulation parameters.
By way of example, a complex channel model is constructed from the channel simulation parameters, and the complex channel model processes a plurality of different types of simulation signals, thereby simulating the influence of the transmission channel on the different types of simulation signals and realizing channel simulation.
Wherein, the complex channel model is:
Wherein R characterizes a channel envelope, α characterizes a power, μ x characterizes a first current path number of multipath clusters in an in-phase, μ y characterizes a second current path number of multipath clusters in a quadrature phase, X i characterizes a value of an in-phase of an i-th cluster, Y i characterizes a value of a quadrature phase of the i-th cluster, λ x,i characterizes an average value of the in-phase of the i-th cluster, and λ y,i characterizes an average value of the quadrature phase of the i-th cluster.
Wherein the method comprises the steps of ,E(Xi)＝E(Yi)＝0,E(Xi 2)＝σx 2,E(Yi 2)＝σy 2,
Obtaining
The phase of the channel can be expressed as:
The method and the device determine the channel simulation parameters according to the initial simulation signals, perform channel simulation according to the channel simulation parameters, and the channel simulation result is not limited by the number of paths of multipath clusters of in-phase and quadrature phases of the signals, so that the application range of the channel simulation is enlarged.
In order to facilitate a better understanding of the channel simulation method provided by the present disclosure, a detailed description of relevant steps involved in the channel simulation method is provided below.
In a possible embodiment, referring to fig. 2, in step S12, determining channel simulation parameters according to the initial simulation signal may include the steps of:
In step S21, a first current path number of the multipath cluster in the in-phase and a second current path number of the multipath cluster in the quadrature phase are determined based on the initial simulation signal.
For example, under the condition that the initial simulation signals include an initial simulation signal μ, an initial simulation signal p, an initial simulation signal q, an initial simulation signal η and an initial simulation signal κ, according to the relation between any two kinds of initial simulation signals and the current path numbers of multipath clusters in-phase and quadrature phases, a first current path number μ x and a second current path number μ y are calculated.
The relation between various initial simulation signals and the current path numbers of the in-phase and quadrature phases comprises:
μ＝(μx+μy)/2；
р＝μx/μy；
q＝(λx 2μxσx 2)/(λy 2μyσy 2);
η＝(μxσx 2)/(μyσy 2)；
κ＝(λx 2+λy 2)/(μxσx 2+μyσy 2);
illustratively, according to the relation between the initial simulation signal mu and the initial simulation signal P and the current path numbers of the in-phase and quadrature phases, a first current path number mu x and a second current path number mu y are calculated:
μx＝2рμ/(1+р)；
μy＝2μ/(1+р)。
in step S22, it is determined whether or not the first diameter number and the second diameter number are integers, and a determination result is obtained.
In step S23, a target simulation signal is determined based on the determination result.
Under the condition that the judgment result is that the first diameter number and the second diameter number are integers, determining a target simulation signal according to a first execution strategy; and under the condition that the judgment result is that the first path number and/or the second path number is a non-integer, determining the target simulation signal according to the second execution strategy.
In step S24, channel simulation parameters are determined from the target simulation signal.
Substituting a plurality of simulation signals included in the target simulation signals into calculation formulas of different parameters in the corresponding channel simulation parameters to obtain the channel simulation parameters.
According to the method and the device, the target simulation signals are determined by judging whether the first path number and the second path number are the judging results of integers or not, different execution strategies are adopted, and the channel simulation parameters are determined according to the target simulation signals, so that the simulation results of channel simulation are carried out according to the channel simulation parameters, the transmission results of real channels can be close to the transmission results of the real channels under the condition that the first path number and/or the second path number are decimal, the reliability of the simulation results is ensured, complex channel simulation can be carried out on simulation signals of different types, and the application range of the channel simulation is enlarged.
In a possible embodiment, in step S23, determining the target simulation signal according to the determination result may include:
And under the condition that the judgment result is that the first current path number and/or the second current path number is a non-integer, respectively carrying out path splitting treatment on each path of the same phase and each path of the orthogonal phase to obtain a first splitting path number corresponding to the same phase and a second splitting path number corresponding to the orthogonal phase.
For example, when the first current path number and/or the second current path number are/is a non-integer, the path splitting process is performed on each path of the in-phase and quadrature phases, that is, each path is split into a plurality of paths, so that the in-phase path number and the quadrature phase path number after the path splitting process are both integer.
Carrying out path merging processing on the corresponding in-phase multipath clusters after the path splitting processing according to the first splitting path number to obtain a first target path number and a second target path number which are corresponding to the in-phase, wherein the first target path number and the second target path number are integers;
and carrying out path merging processing on the multipath clusters of the corresponding orthogonal phases after the path splitting processing according to the second splitting path number to obtain a third target path number and a fourth target path number of the corresponding orthogonal phases, wherein the third target path number and the fourth target path number are integers.
For example, after performing path splitting processing on each path of the in-phase and quadrature phases, in order to ensure that the degree of freedom of channel simulation is approximately unchanged, path merging processing is performed on a multipath cluster corresponding to the in-phase and a multipath cluster corresponding to the quadrature phase after the path splitting processing, so that a first current path number of the in-phase and a second current path number of the quadrature phase are respectively divided into two parts, and a first target path number and a second target path number corresponding to the in-phase, and a third target path number and a fourth target path number corresponding to the quadrature phase are obtained.
And determining a target simulation signal according to the first target path number, the second target path number, the third target path number and the fourth target path number.
Under the condition that the target simulation signals comprise a simulation signal mu ', a simulation signal P ', a simulation signal q ', a simulation signal eta ' and a simulation signal kappa ', substituting the first target path number mu x1, the second target path number mu x2, the third target path number mu y1 and the fourth target path number mu y1 into calculation formulas of different parameters in corresponding channel simulation parameters to obtain the channel simulation parameters.
For example, when the target simulation signal includes a simulation signal μ ', a simulation signal p', a simulation signal q ', a simulation signal η', and a simulation signal κ ', the first calculation formula is substituted with the first target diameter number μ x1, the second target diameter number μ x2, the third target diameter number μ y1, and the fourth target diameter number μ y1 to obtain the simulation signal μ', where the first calculation formula is: μ= (μ x1+μx2+μy1+μy1)/2.
Substituting the first target diameter number mu x1, the second target diameter number mu x2, the third target diameter number mu y1 and the fourth target diameter number mu y1 into a second calculation formula to obtain a simulation signal P', wherein the second calculation formula is as follows:
р`＝(μx1+μx2)/(μy1+μy1)。
substituting the first target path number mu x1, the second target path number mu x2, the third target path number mu y1 and the fourth target path number mu y1 into a third calculation formula to obtain a simulation signal q', wherein the third calculation formula is as follows:
Lambda x,i 2 represents the initial mean of each path in the same phase, lambda y,i 2 represents the initial mean of each path in the orthogonal phase, sigma x 2 represents the initial variance of each path in the same phase, and sigma y 2 represents the initial variance of each path in the orthogonal phase.
Substituting the first target diameter number mu x1, the second target diameter number mu x2, the third target diameter number mu y1 and the fourth target diameter number mu y1 into a fourth calculation formula to obtain a simulation signal eta', wherein the fourth calculation formula is as follows:
Substituting the first target diameter number mu x1, the second target diameter number mu x2, the third target diameter number mu y1 and the fourth target diameter number mu y1 into a fifth calculation formula to obtain a simulation signal kappa'), wherein the fifth calculation formula is as follows:
According to the method and the device, under the condition that the first current path number and/or the second current path number are/is a non-integer, the path splitting processing and the path merging processing are carried out on each path in the same phase and each path in the orthogonal phase, so that the first current path number and the second current path number are respectively split into two parts, the path number of each part is an integer, the channel simulation result can be close to the transmission result of a real channel under the condition that the first path number and/or the second path number are/is a decimal, and the reliability of the simulation result is guaranteed.
In a possible embodiment, performing a path splitting process on each path of each path in the in-phase and each path of each path in the orthogonal phase to obtain a first split path number corresponding to each path in the same phase and a second split path number corresponding to each path in the orthogonal phase, respectively, including:
and performing downward rounding operation and rounding operation on the first current diameter number to obtain a first intermediate parameter.
Illustratively, the first intermediate parameter m x＝round(1/(μx-floor(μx) is obtained by performing a down-rounding operation and a rounding operation on the first current diameter number by down-rounding function floor () and rounding function round ().
Rounding the product of the first current diameter number and the first intermediate parameter to obtain a first split diameter number corresponding to each diameter in the same phase;
Illustratively, a product of the first current diameter number and the first intermediate parameter is rounded by rounding function round (), resulting in a first split diameter number μ x`＝round(mxμx corresponding to each diameter in the same phase.
And
And performing downward rounding operation and rounding operation on the second current diameter number to obtain a second intermediate parameter.
Illustratively, the second current diameter number is subjected to a down-rounding operation and rounding operation by down-rounding function floor () and rounding function round (), resulting in a second intermediate parameter m y＝round(1/(μy-floor(μy).
And rounding the product of the second current path number and the second intermediate parameter to obtain a second split path number corresponding to each path in the orthogonal phase.
Illustratively, the product of the second current diameter number and the second intermediate parameter is rounded by rounding the function round (), resulting in a second split diameter number μ y`＝round(myμy corresponding to each diameter in the same phase.
In the method, under the condition that the first current path number and/or the second current path number are/is a non-integer, the path splitting processing is carried out on each path in the same phase and each path in the orthogonal phase, so that the path number of the same phase and the path number of the orthogonal phase are both integers, and the subsequent channel simulation is facilitated.
In a possible embodiment, according to the first split path number, performing path merging processing on each path in the same phase after the path splitting processing to obtain a first target path number and a second target path number corresponding to each path in the same phase, including:
and performing downward rounding operation on the first current diameter number to obtain a first target diameter number.
Illustratively, the first target diameter number μ x1＝floor(μx is obtained by performing a rounding-down operation on the first current diameter number by a rounding-down function floor ().
Obtaining a second target diameter number according to the first split diameter number and the first target diameter number;
For example, the first split diameter number and the first target diameter number are substituted into a sixth calculation formula to obtain a second target diameter number μ x2, where the sixth calculation formula is:
`
μx2＝μx-mxμx1。
And carrying out path merging processing on each path in the orthogonal phase after the path splitting processing according to the second splitting path number to obtain a third target path number and a fourth target path number corresponding to each path in the orthogonal phase, wherein the method comprises the following steps:
And performing downward rounding operation on the second current diameter number to obtain a third target diameter number.
Illustratively, the second target diameter number μ y1＝floor(μy is obtained by performing a rounding-down operation on the second current diameter number by a rounding-down function floor ().
And obtaining a fourth target path number according to the second split path number and the third target path number.
For example, the second split diameter number and the third target diameter number are substituted into a seventh calculation formula to obtain a fourth target diameter number μ y2, where the seventh calculation formula is:
`
μy2＝μy-myμy1。
the method and the device perform path merging processing on each path in the in-phase and quadrature phases after path splitting processing, and ensure that the freedom degree of channel simulation is approximately unchanged.
In a possible embodiment, in step S23, determining the target simulation signal according to the determination result may further include:
and taking the initial simulation signal as a target simulation signal when the judgment result is that the first current diameter number and the second current diameter number are integers.
For example, under the condition that the first current diameter number and the second current diameter number are integers, the channel simulation parameters are determined directly according to the fact that the initial simulation signals comprise simulation signals mu, simulation signal values, simulation signals q, simulation signals eta and simulation signals kappa.
In a possible embodiment, the target simulation signal includes a simulation signal μ ', a simulation signal p ', a simulation signal q ', a simulation signal η ', and a simulation signal κ ', and the channel simulation parameters include a mean value of each path in the same phase, a mean value of each path in the quadrature phase, a variance of each path in the same phase, and a variance of each path in the quadrature phase;
determining channel simulation parameters from the target simulation signal may include:
and determining the average value of each path in the same phase according to the simulation signal q ', the simulation signal eta ' and the simulation signal kappa '.
For example, the simulation signal q ', the simulation signal η' and the simulation signal κ 'are substituted into an eighth calculation formula to obtain a mean value λ x 2' of each path in the same phase, where the eighth calculation formula includes:
and determining the average value of each path in the orthogonal phase according to the simulation signal q ', the simulation signal eta ' and the simulation signal kappa '.
For example, the simulation signal q ', the simulation signal η' and the simulation signal κ 'are substituted into a ninth calculation formula to obtain a mean value λ y 2' of each path in the orthogonal phase, where the ninth calculation formula includes:
And determining the variance of each diameter in the same phase according to the simulation signal mu ', the simulation signal P', the simulation signal eta 'and the simulation signal kappa'.
For example, the simulation signal μ ', the simulation signal p ', the simulation signal η ', and the simulation signal κ ' are substituted into a tenth calculation formula to obtain a variance σ x 2 ' of each diameter in the same phase, where the tenth calculation formula includes:
And determining the variance of each path in the orthogonal phase according to the simulation signal mu ', the simulation signal P', the simulation signal eta 'and the simulation signal kappa'.
For example, the simulation signal μ ', the simulation signal p ', the simulation signal η ', and the simulation signal κ ' are substituted into an eleventh calculation formula to obtain a variance σ y 2 ' of each path in the orthogonal phase, where the eleventh calculation formula includes:
For example, referring to fig. 3, the steps of the channel simulation method provided by the present disclosure may include the steps of:
in step S31, an initial simulation signal is determined.
In step S32, a first current path number of the multipath cluster of the same phase and a second current path number of the multipath cluster of the orthogonal phase are determined based on the initial simulation signal.
In step S33, it is determined whether or not the first current diameter number and the second current diameter number are both integers. Executing step S34 when the first current diameter number and the second current diameter number are both integers; if the first current diameter number and/or the second current diameter number is a non-integer, steps S35 to S38 are performed.
In step S34, the initial simulation signal is set as the target simulation signal. Step S39 is performed.
In step S35, the path splitting process is performed on each path in the in-phase and each path in the quadrature phase, respectively, to obtain a first splitting path number corresponding to the in-phase and a second splitting path number corresponding to the quadrature phase.
In step S36, the path merging process is performed on the multipath clusters corresponding to the same phase after the path splitting process according to the first splitting path number, so as to obtain a first target path number and a second target path number corresponding to the same phase.
In step S37, the path merging process is performed on the multipath clusters corresponding to the orthogonal phases after the path splitting process according to the second splitting path number, so as to obtain a third target path number and a fourth target path number corresponding to the orthogonal phases.
In step S38, a target simulation signal is determined based on the first target diameter number, the second target diameter number, the third target diameter number, and the fourth target diameter number. Step S39 is performed.
In step S39, channel simulation parameters are determined from the target simulation signal.
In step S310, channel simulation is performed according to the channel simulation parameters.
The step shown in fig. 3 is used to obtain an α - η - κ - μ channel simulation interface shown in fig. 4, and in the process of performing complex channel simulation on two signals, a first random signal value and a second random signal value corresponding to the first signal and a first random signal value and a second random signal value corresponding to the second signal are respectively generated by a gaussian random sequence generator;
For each signal, performing power shaping on the first random signal value to obtain an in-phase value X i of the ith cluster, simultaneously obtaining a third random signal value corresponding to the first signal through a Gaussian random sequence generator, taking the third random signal value as an in-phase average value lambda x,i of the ith cluster, performing power shaping on the second random signal to obtain a quadrature-phase value Y i of the ith cluster, simultaneously obtaining a fourth random signal value corresponding to the first signal through the Gaussian random sequence generator, taking the fourth random signal value as an in-phase average value lambda y,i of the ith cluster, and substituting X i、λx,i、Yi、λy,i into a complex channel model:
And executing a calculation flow shown in the left side of fig. 4, finally squaring to obtain R α corresponding to the first signal, similarly obtaining R α of the second signal, and performing squaring processing on R α of the first signal and the second signal to obtain an envelope R of the simulation channel.
Meanwhile, the fourth random signal value may be taken as an average value λ y,i of orthogonal phases of the i-th cluster, and X i、λx,i、Yi、λy,i may be substituted into atan (arctangent function) to calculate the phase of the channel.
Illustratively, substituting X i、λx,i、Yi、λy,i into atan:
The calculation flow shown on the right side of fig. 4 is executed to obtain the phase θ1 of the corresponding first signal, and the phase θ2 of the second signal is obtained by the same method, and the phase θ1 of the first signal and the phase θ2 of the second signal are added to obtain the phase of the simulation channel.
The method of power shaping may include: the length N of the random signal to be shaped, the size G n of the nth element, and the total target output power λ 2 are substituted into a shaping calculation formula, to obtain a shaped value G n, where the shaping calculation formula includes:
according to the method, the first current path number of the multipath cluster in the same phase and the second current path number of the multipath cluster in the orthogonal phase are determined according to the initial simulation signal, under the condition that the first current path number and/or the second current path number are non-integers, path division and merging processing are carried out on each path in the same phase and the orthogonal phase, so that the current path numbers of the multipath cluster in the same phase and the multipath cluster in the orthogonal phase are integers, then a target simulation signal is determined according to the processed current path numbers of the multipath cluster in the same phase and the multipath cluster in the orthogonal phase, channel simulation parameters are determined according to the target simulation signal, channel simulation is carried out according to the channel simulation parameters, and the whole simulation process is not limited by the path numbers of the multipath clusters in the same phase and the orthogonal phase of the signal, so that the application range of the channel simulation is enlarged.
Based on the same inventive concept, the present disclosure also provides a channel simulation apparatus, referring to fig. 5, the channel simulation apparatus 500 includes an acquisition module 501, a determination module 502, and an execution module 503.
Wherein the acquisition module 501 is configured to determine an initial simulation signal.
The determining module 502 is configured to determine channel simulation parameters according to the initial simulation signal.
The execution module 503 is configured to perform channel simulation according to the channel simulation parameters.
The method and the device determine the channel simulation parameters according to the initial simulation signals, perform channel simulation according to the channel simulation parameters, and the channel simulation result is not limited by the number of paths of multipath clusters of in-phase and quadrature phases of the signals, so that the application range of the channel simulation is enlarged.
Further, the determining module 502 is configured to determine, according to the initial simulation signal, a first current number of paths per path in the same phase and a second current number of paths per path in the orthogonal phase;
judging whether the first current diameter number and the second current diameter number are integers or not to obtain a judging result;
determining a target simulation signal according to the judgment result;
and determining channel simulation parameters according to the target simulation signals.
Further, the determining module 502 is configured to perform a path splitting process on each path of the in-phase and each path of the quadrature phase respectively to obtain a first splitting path number corresponding to the in-phase and a second splitting path number corresponding to the quadrature phase when the determination result is that the first current path number and/or the second current path number is a non-integer;
Carrying out path merging processing on the corresponding in-phase multipath clusters after the path splitting processing according to the first splitting path number to obtain a first target path number and a second target path number which are corresponding to the in-phase, wherein the first target path number and the second target path number are integers;
and carrying out path merging processing on the multipath clusters of the corresponding orthogonal phases after the path splitting processing according to the second splitting path number to obtain a third target path number and a fourth target path number of the corresponding orthogonal phases, wherein the third target path number and the fourth target path number are integers;
and determining a target simulation signal according to the first target path number, the second target path number, the third target path number and the fourth target path number.
Further, the determining module 502 is configured to perform a rounding operation and a rounding operation on the first current diameter number to obtain a first intermediate parameter;
Rounding the product of the first current diameter number and the first intermediate parameter to obtain a first split diameter number corresponding to the same phase;
And
Performing downward rounding operation and rounding operation on the second current diameter number to obtain a second intermediate parameter;
And rounding the product of the second current path number and the second intermediate parameter to obtain a second split path number corresponding to the orthogonal phase.
Further, the determining module 502 is configured to perform a downward rounding operation on the first current diameter number to obtain a first target diameter number;
obtaining a second target diameter number according to the first split diameter number and the first target diameter number;
performing downward rounding operation on the second current diameter number to obtain a third target diameter number;
and obtaining a fourth target diameter number according to the second split diameter number and the third target diameter number.
Further, the determining module 502 is configured to take the initial simulation signal as the target simulation signal when the determination result is that the first current diameter number and the second current diameter number are both integers.
Further, the determining module 502 is configured to determine the average value of each path in the same phase according to the simulation signal q ', the simulation signal η ', and the simulation signal κ ';
determining the average value of each path in the orthogonal phase according to the simulation signal q ', the simulation signal eta ' and the simulation signal kappa ';
Determining the variance of each diameter in the same phase according to the simulation signal mu ', the simulation signal P', the simulation signal eta 'and the simulation signal kappa';
determining the variance of each path in the orthogonal phase according to the simulation signal mu ', the simulation signal P', the simulation signal eta 'and the simulation signal kappa';
the target simulation signals comprise simulation signals mu ', simulation signal P ', simulation signals q ', simulation signals eta ' and simulation signals kappa ', and the channel simulation parameters comprise the mean value of each path in the same phase, the mean value of each path in the orthogonal phase, the variance of each path in the same phase and the variance of each path in the orthogonal phase.
With respect to the channel simulation apparatus 500 in the above embodiment, the specific manner in which the respective modules perform the operations has been described in detail in the embodiment regarding the method, and will not be described in detail herein.
Based on the same inventive concept, the present disclosure also provides an electronic device, including:
a memory having a computer program stored thereon;
And the processor is used for executing the computer program in the memory to realize the steps of the channel simulation method.
The method and the device determine the channel simulation parameters according to the initial simulation signals, perform channel simulation according to the channel simulation parameters, and the channel simulation result is not limited by the number of paths of multipath clusters of in-phase and quadrature phases of the signals, so that the application range of the channel simulation is enlarged.
Fig. 6 is a block diagram of an electronic device 600, according to an example embodiment. As shown in fig. 6, the electronic device 600 may include: a processor 601, a memory 602. The electronic device 600 may also include one or more of a multimedia component 603, an input/output (I/O) interface 604, and a communication component 605.
The processor 601 is configured to control the overall operation of the electronic device 600 to perform all or part of the steps in the channel simulation method described above. The memory 602 is used to store various types of data to support operation at the electronic device 600, which may include, for example, instructions for any application or method operating on the electronic device 600, as well as application-related data such as initial simulation signals, target simulation signals, and channel simulation parameters, among others. The Memory 602 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 603 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 602 or transmitted through the communication component 605. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 604 provides an interface between the processor 601 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 605 is used for wired or wireless communication between the electronic device 600 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near Field Communication (NFC) for short, 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or one or a combination of more of them, is not limited herein. The corresponding communication component 605 may thus comprise: wi-Fi module, bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic device 600 may be implemented by one or more Application-specific integrated circuits (ASICs), digital signal processors (DIGITAL SIGNAL processors, DSPs), digital signal processing devices (DIGITAL SIGNAL Processing Device, DSPDs), programmable logic devices (Programmable Logic Device, PLDs), field programmable gate arrays (Field Programmable GATE ARRAY, FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the channel simulation methods described above.
In another exemplary embodiment, a computer readable storage medium is also provided, comprising program instructions which, when executed by a processor, implement the steps of the channel simulation method described above. For example, the computer readable storage medium may be the memory 602 described above including program instructions executable by the processor 601 of the electronic device 600 to perform the channel simulation method described above.
In another exemplary embodiment, a computer program product is also provided, comprising a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-described channel simulation method when executed by the programmable apparatus.
The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the embodiments described above, and various simple modifications may be made to the technical solutions of the present disclosure within the scope of the technical concept of the present disclosure, and all the simple modifications belong to the protection scope of the present disclosure.
In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. The various possible combinations are not described further in this disclosure in order to avoid unnecessary repetition.
Moreover, any combination between the various embodiments of the present disclosure is possible as long as it does not depart from the spirit of the present disclosure, which should also be construed as the disclosure of the present disclosure.
Claims (8)
1. A method of channel simulation, comprising:
determining an initial simulation signal;
Determining channel simulation parameters according to the initial simulation signals;
Carrying out channel simulation according to the channel simulation parameters;
the determining the channel simulation parameters according to the initial simulation signals comprises the following steps:
Determining a first current path number of the multipath cluster in the in-phase and a second current path number of the multipath cluster in the orthogonal phase according to the initial simulation signal;
judging whether the first current diameter number and the second current diameter number are integers or not to obtain a judging result;
Determining a target simulation signal according to the judging result;
determining channel simulation parameters according to the target simulation signals;
the determining the target simulation signal according to the judging result comprises the following steps:
Under the condition that the judging result is that the first current path number and/or the second current path number is a non-integer, respectively carrying out path splitting treatment on each path in the same phase and each path in the orthogonal phase to obtain a first splitting path number corresponding to the same phase and a second splitting path number corresponding to the orthogonal phase;
carrying out path merging processing on the multipath clusters corresponding to the same phase after path splitting processing according to the first splitting path number to obtain a first target path number and a second target path number corresponding to the same phase, wherein the first target path number and the second target path number are integers;
Performing path merging processing on the path splitting processed multipath clusters corresponding to the orthogonal phases according to the second splitting path number to obtain a third target path number and a fourth target path number corresponding to the orthogonal phases, wherein the third target path number and the fourth target path number are integers;
And determining a target simulation signal according to the first target path number, the second target path number, the third target path number and the fourth target path number.
2. The channel simulation method according to claim 1, wherein the performing path splitting processing on each path in the same phase and each path in the orthogonal phase to obtain a first split path number corresponding to the same phase and a second split path number corresponding to the orthogonal phase includes:
performing downward rounding operation and rounding operation on the first current diameter number to obtain a first intermediate parameter;
rounding the product of the first current diameter number and the first intermediate parameter to obtain a first split diameter number corresponding to the same phase;
And
Performing downward rounding operation and rounding operation on the second current diameter number to obtain a second intermediate parameter;
and rounding the product of the second current path number and the second intermediate parameter to obtain a second split path number corresponding to the orthogonal phase.
3. The channel simulation method according to claim 2, wherein the performing path merging processing on the multipath clusters corresponding to the same phase after the path splitting processing according to the first splitting path number to obtain a first target path number and a second target path number corresponding to the same phase includes:
Performing downward rounding operation on the first current diameter number to obtain the first target diameter number;
Obtaining the second target diameter number according to the first split diameter number and the first target diameter number;
And performing path merging processing on the path-split multipath clusters corresponding to the orthogonal phase according to the second split path number to obtain a third target path number and a fourth target path number corresponding to the orthogonal phase, wherein the path merging processing comprises the following steps:
performing downward rounding operation on the second current diameter number to obtain the third target diameter number;
And obtaining the fourth target diameter number according to the second split diameter number and the third target diameter number.
4. The channel simulation method according to claim 1, wherein determining a target simulation signal according to the determination result comprises:
and taking the initial simulation signal as a target simulation signal when the judgment result is that the first current diameter number and the second current diameter number are integers.
5. The channel simulation method according to any one of claims 1 to 4, wherein the target simulation signal includes a simulation signal μ ', a simulation signal p ', a simulation signal q ', a simulation signal η ', and a simulation signal κ ', and the channel simulation parameters include a mean value of each path in the same phase, a mean value of each path in the quadrature phase, a variance of each path in the same phase, and a variance of each path in the quadrature phase;
the determining the channel simulation parameters according to the target simulation signals comprises the following steps:
Determining the average value of each path in the in-phase according to the simulation signal q ', the simulation signal eta ' and the simulation signal kappa ';
determining the average value of each path in the orthogonal phase according to the simulation signal q ', the simulation signal eta ' and the simulation signal kappa ';
determining the variance of each diameter in the in-phase according to the simulation signal mu ', the simulation signal P', the simulation signal eta 'and the simulation signal kappa';
and determining the variance of each diameter in the orthogonal phase according to the simulation signal mu ', the simulation signal P', the simulation signal eta 'and the simulation signal kappa'.
6. A channel simulation apparatus, comprising:
An acquisition module configured to determine an initial simulation signal;
A determining module configured to determine channel simulation parameters from the initial simulation signal;
the execution module is configured to perform channel simulation according to the channel simulation parameters;
the determining module is configured to determine a first current path number of the multipath cluster in the in-phase and a second current path number of the multipath cluster in the quadrature phase according to the initial simulation signal;
judging whether the first current diameter number and the second current diameter number are integers or not to obtain a judging result;
Determining a target simulation signal according to the judging result;
determining channel simulation parameters according to the target simulation signals;
The determining module is configured to perform a path splitting process on each path in the same phase and each path in the quadrature phase respectively to obtain a first splitting path number corresponding to the same phase and a second splitting path number corresponding to the quadrature phase when the judging result is that the first current path number and/or the second current path number is a non-integer;
carrying out path merging processing on the multipath clusters corresponding to the same phase after path splitting processing according to the first splitting path number to obtain a first target path number and a second target path number corresponding to the same phase, wherein the first target path number and the second target path number are integers;
Performing path merging processing on the path splitting processed multipath clusters corresponding to the orthogonal phases according to the second splitting path number to obtain a third target path number and a fourth target path number corresponding to the orthogonal phases, wherein the third target path number and the fourth target path number are integers;
And determining a target simulation signal according to the first target path number, the second target path number, the third target path number and the fourth target path number.
7. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor realizes the steps of the method according to any of claims 1-5.
8. An electronic device, comprising:
a memory having a computer program stored thereon;
A processor for executing the computer program in the memory to implement the steps of the method of any one of claims 1-5.
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