Adaptive spatial sampling rate design method for field strength simulation of high-speed maglev millimeter-wave communication

Abstract

The present invention discloses a method for designing an adaptive spatial sampling rate for field intensity simulation of high-speed magnetic levitation millimeter wave communication, comprising the following steps: S1, determining the spatial sampling rate used for the initial global simulation; S2, performing global simulation, and dividing the data received by the receiving path at intervals of 100 meters; S3, processing the received signal by using a spectrum analysis method; S4, calculating the ratio η of the energy contained in the frequency domain signal with symmetrical distribution of 40% in the middle of the frequency domain to the total energy; S5, η≥95%, using this spatial sampling rate; η<95%, increasing the spatial sampling rate of this interval by one gear and performing local simulation, executing steps S3 and S4, until the signal interval satisfies η≥95%; S6, when all signal intervals satisfy η≥95%, splicing the spatial sampling rates of all signal intervals. The present invention utilizes the design of multi-gear spatial sampling rates, which can reduce the complexity of the simulation system and the excessively high requirements for the hardware configuration of the simulation platform, and avoid unnecessary consumption of time and resources during the simulation process.

Description

Technical Field

[0001] The invention belongs to the technical field of millimeter wave communication simulation measurement, and in particular relates to a method for designing an adaptive spatial sampling rate for high-speed magnetic levitation millimeter wave communication field strength simulation. Background Art

[0002] Millimeter wave communication technology is widely used in various communication environments due to its large communication capacity, good security and confidentiality, high transmission quality, and all-weather communication. In order to optimize the design of millimeter wave communication systems, it is necessary to model and simulate the communication environment in advance to analyze the impact of relevant factors in the specific environment on the communication effect.

[0003] In the preliminary simulation process, it is necessary to set up the transmitter in the communication system and a series of spatial sampling points located in various parts of the space, and all the spatial sampling points constitute the overall receiving path.

[0004] The spatial sampling rate refers to the frequency at which the signal is sampled in the spatial domain. When setting up a simulation environment, the spatial sampling points on the receiving path can be used to replace the receiving antennas in the actual environment to obtain the field strength of the received signal at different locations.

[0005] The higher the spatial sampling rate, the denser the spatial sampling points, and the simulation system can capture more signal changes and details, thereby improving the precision and accuracy of the data. However, increasing the sampling rate will also increase the complexity of the system, and the time and resources required for simulation will also increase significantly, and even simulation failures and simulation platform crashes may occur. Excessively high spatial sampling rates place more stringent requirements on the hardware configuration of the simulation platform. Therefore, when modeling and simulating millimeter wave communication systems, it is necessary to consider the balance between spatial sampling rate and simulation resource consumption.

[0006] Due to the large scale of the high-speed maglev communication environment, the overall receiving path is usually set at the kilometer level during simulation. When setting the spatial sampling points on the receiving path, a uniform linear array (ULA) is usually used, and the half-wavelength spacing is used as the spatial interval between each spatial sampling point.

[0007] For millimeter waves, the wavelength is as short as millimeters. If the spatial sampling points in the receiving path are placed at the conventional half-wavelength interval, the distance between the spatial sampling points is only a few millimeters. Under the condition of a certain length receiving path, the number of spatial sampling points required to be set is very large, the complexity of the simulation system increases, and the time and resources consumed by the simulation will also increase significantly.

[0008] When simulating the millimeter wave communication system in a high-speed maglev environment, the receiving path is set to be straight as a whole, and the spatial sampling points are evenly spaced on the receiving path. Analysis and actual measurements show that in this simulation environment, the overall field strength will show the following: the closer to the transmitting point, the more violent the fluctuation of the communication field strength, and the farther from the transmitting point, the more gentle the fluctuation of the communication field strength.

[0009] In summary, the spatial sampling rate setting standard followed by conventional simulation is not applicable to millimeter wave communication systems in high-speed maglev environments. Summary of the invention

[0010] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a design method that utilizes a multi-level spatial sampling rate design and flexibly adjusts the multi-level spatial sampling rate design method, thereby reducing the complexity of the simulation system and the excessive requirements on the hardware configuration of the simulation platform, and avoiding unnecessary consumption of time and resources during the simulation process. High-speed magnetic levitation millimeter wave communication field strength simulation adaptive spatial sampling rate design method.

[0011] The object of the present invention is to achieve the following technical solution: a method for designing an adaptive spatial sampling rate for high-speed magnetic levitation millimeter wave communication field strength simulation, comprising the following steps:

[0012] S1. Determine the spatial sampling rate used in the initial global simulation: if the total length of the receiving path of the high-speed maglev millimeter wave communication system is one kilometer or more, set one percent of the total length of the receiving path as the spatial sampling point interval of the initial global simulation; if the total length of the receiving path is less than one kilometer, set ten meters as the spatial sampling point interval of the initial global simulation; the spatial sampling rate is the number of spatial sampling points within a unit distance, and the spatial sampling rate at this time is set as the lowest gear of the spatial sampling rate;

[0013] When the highest-level spatial sampling rate is defined, the distance between spatial sampling points is half a wavelength, and the spatial sampling rate difference between adjacent levels is ten times. When changing from low to high levels, the spatial sampling rate increases tenfold;

[0014] S2. Perform global simulation according to the current spatial sampling rate to obtain the overall waveform data received by the receiving path; then divide the data received by the receiving path every 100 meters to divide the received signal into n equidistant signal intervals;

[0015] S3, using spectrum analysis method to process the received signal: using FFT to convert the signal data in the signal interval into the frequency domain, and moving the zero-frequency component to the center of the spectrum;

[0016] S4. According to the Pasval theorem, the total energy of the signal in the frequency domain of the signal interval and the energy contained in the frequency domain signal with symmetrical distribution in the middle 40% of the frequency domain are calculated respectively, and the ratio η of the energy contained in the frequency domain signal with symmetrical distribution in the middle 40% of the frequency domain to the total energy is calculated;

[0017] S5. Taking 95% as the standard, if η of a certain signal interval is ≥95%, it means that the spatial sampling rate used this time can better describe the field intensity fluctuation of the transmitted signal in the signal interval. This spatial sampling rate is used to set the distribution distance of each spatial sampling point on the receiving path of the interval. If η of a certain signal interval is <95%, the spatial sampling rate of this interval is increased by one level, and the new spatial sampling rate is used to perform local simulation on the signal interval, and then steps S3 and S4 are executed until the signal interval satisfies η ≥95%.

[0018] S6. When all signal intervals satisfy η≥95%, the spatial sampling rates of all signal intervals are concatenated to obtain the overall non-uniform spatial sampling rate on the receiving path when simulating the transmitted signal, and the distribution distance between each spatial sampling point.

[0019] The beneficial effect of the present invention is as follows: the present invention provides an adaptive spatial sampling rate design method based on high-speed maglev millimeter-wave communication field strength simulation. By utilizing the design of multi-level spatial sampling rates, the multi-level spatial sampling rate design method is flexibly adjusted according to the fluctuations of the received signals at different stages and positions in the high-speed maglev simulation scenario, thereby reducing the complexity of the simulation system and the excessive requirements for the hardware configuration of the simulation platform, and avoiding unnecessary consumption of time and resources during the simulation process. The adaptive spatial sampling rate design method proposed in the present invention proposes standards for switching different spatial sampling rates and simulation data processing methods, and designs an overall adaptive spatial sampling rate simulation process. It can reduce the complexity of the simulation system without affecting the simulation effect, avoid unnecessary consumption of time and resources, and solve the problem of extremely huge time and resources consumed by the simulation of millimeter-wave communication field strength in a high-speed maglev environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the millimeter wave communication field strength simulation model in the high-speed maglev environment of the present invention;

[0021] Figure 2 It is a schematic diagram of the process flow of the adaptive spatial sampling rate design method of the present invention;

[0022] Figure 3 It is a curve diagram of the relationship between the field strength received by the total receiving path and the distance;

[0023] Figure 4 The relationship curves of the field strength and distance received by the receiving path of the split interval under three spatial sampling rates are shown;

[0024] Figure 5 It is the fluctuation curve of the segmented interval signal converted to the frequency domain through FFT at three spatial sampling rates. DETAILED DESCRIPTION

[0025] The technical solution of the present invention is further described below in conjunction with the accompanying drawings.

[0026] Figure 1 The figure is a schematic diagram of the simulation of the millimeter wave communication field strength in a high-speed maglev environment, where S is the total length of the receiving path and d is the interval between adjacent spatial sampling points. In general, the total length of the receiving path is in the order of kilometers during simulation, and the spatial sampling points are set to be evenly distributed at intervals of half a wavelength. However, the wavelength of millimeter waves is in the order of millimeters. If the simulation is performed at a conventional spatial sampling rate, the spacing between the spatial sampling points on the receiving path is only a few millimeters. The number of spatial sampling points required is very large, and the simulation process requires huge time and resource consumption. There may even be simulation failures and simulation platform crashes. Excessively high spatial sampling rates place more stringent requirements on the hardware configuration of the simulation platform.

[0027] like Figure 2 As shown, a method for designing an adaptive spatial sampling rate for high-speed magnetic levitation millimeter wave communication field strength simulation of the present invention comprises the following steps:

[0028] S1. Determine the spatial sampling rate used in the initial global simulation: During the simulation, the total length of the receiving path of the high-speed maglev millimeter wave communication system is generally in the order of kilometers. If the total length of the receiving path of the high-speed maglev millimeter wave communication system is at or above a kilometer, one percent of the total length of the receiving path is set as the spatial sampling point interval of the initial global simulation; if the total length of the receiving path is less than one kilometer, ten meters is set as the spatial sampling point interval of the initial global simulation; the spatial sampling rate is the number of spatial sampling points within a unit distance, and the spatial sampling rate at this time is set as the lowest gear of the spatial sampling rate;

[0029] When the highest-level spatial sampling rate is defined, the distance between spatial sampling points is half a wavelength, and the spatial sampling rate difference between adjacent gears is ten times. When changing from low to high, the spatial sampling rate increases tenfold. Since the unit distance is fixed, the number of spatial sampling points is increased tenfold, that is, the interval between spatial sampling points is reduced to one tenth.

[0030] S2. Perform global simulation according to the current spatial sampling rate to obtain the overall waveform data received by the receiving path; the relationship curve between the field strength received by the total receiving path and the distance is as follows: Figure 3 As shown; Figure 4 The relationship curves of field strength and distance received by the receiving path of the segmented intervals under three spatial sampling rates are shown below. Then the data received by the receiving path is segmented every 100 meters, and the received signal is divided into n equidistant signal intervals.

[0031] S3. Use spectrum analysis to process the received signal: Use FFT to convert the signal data of the signal interval into the frequency domain, and move the zero-frequency component to the center of the spectrum; since the intercept distance of each interval is the same, the width they occupy in the frequency domain is also the same, and their frequency domain waveforms are symmetrically distributed, with the symmetry axis being the median of the frequency domain; The fluctuation curves of the segmented interval signals converted to the frequency domain by FFT at three spatial sampling rates are as follows Figure 5 As shown;

[0032] S4. According to Parsval's theorem W represents the total energy in the frequency domain, N represents the number of discrete frequency points in the frequency domain, x[k] is the amplitude of the kth frequency point, and the total energy of the signal in the frequency domain of the signal interval and the energy contained in the frequency domain signal with symmetrical distribution of 40% in the middle of the frequency domain are calculated respectively, and the ratio η of the energy contained in the frequency domain signal with symmetrical distribution of 40% in the middle of the frequency domain to the total energy is calculated;

[0033] S5. Taking 95% as the standard, if η of a certain signal interval is ≥95%, it means that the spatial sampling rate used this time can better describe the field intensity fluctuation of the transmitted signal in the signal interval. This spatial sampling rate is used to set the distribution distance of each spatial sampling point on the receiving path of the interval. If η of a certain signal interval is <95%, the spatial sampling rate of this interval is increased by one level, and the new spatial sampling rate is used to perform local simulation on the signal interval, and then steps S3 and S4 are executed until the signal interval satisfies η ≥95%.

[0034] S6. When all signal intervals satisfy η≥95%, the spatial sampling rates of all signal intervals are concatenated to obtain the overall non-uniform spatial sampling rate on the receiving path when simulating the transmitted signal, and the distribution distance between each spatial sampling point.

[0035] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.

Claims

1. A method for designing an adaptive spatial sampling rate for high-speed magnetic levitation millimeter wave communication field strength simulation, characterized in that: The following steps are involved: S1. Determine the spatial sampling rate used in the initial global simulation: if the total length of the receiving path of the high-speed maglev millimeter wave communication system is one kilometer or more, set one percent of the total length of the receiving path as the spatial sampling point interval of the initial global simulation; If the total length of the receiving path is less than one kilometer, ten meters is used as the spatial sampling point interval of the initial global simulation; the spatial sampling rate is the number of spatial sampling points within a unit distance, and the spatial sampling rate at this time is used as the lowest gear of the spatial sampling rate; When the highest-level spatial sampling rate is defined, the distance between spatial sampling points is half a wavelength, and the spatial sampling rate difference between adjacent levels is ten times. When changing from low to high levels, the spatial sampling rate increases tenfold; S2. Perform global simulation according to the current spatial sampling rate to obtain the overall waveform data received by the receiving path; then divide the data received by the receiving path every 100 meters to divide the received signal into n equidistant signal intervals; S3, using spectrum analysis method to process the received signal: using FFT to convert the signal data in the signal interval into the frequency domain, and moving the zero-frequency component to the center of the spectrum; S4. According to the Pasval theorem, the total energy of the signal in the frequency domain of the signal interval and the energy contained in the frequency domain signal with symmetrical distribution in the middle 40% of the frequency domain are calculated respectively, and the ratio η of the energy contained in the frequency domain signal with symmetrical distribution in the middle 40% of the frequency domain to the total energy is calculated; S5. Taking 95% as the standard, if η of a certain signal interval is ≥95%, it means that the spatial sampling rate used this time can better describe the field intensity fluctuation of the transmitted signal in the signal interval. This spatial sampling rate is used to set the distribution distance of each spatial sampling point on the receiving path of the interval. If η of a certain signal interval is <95%, the spatial sampling rate of this interval is increased by one level, and the new spatial sampling rate is used to perform local simulation on the signal interval, and then steps S3 and S4 are executed until the signal interval satisfies η ≥95%. S6. When all signal intervals satisfy η≥95%, the spatial sampling rates of all signal intervals are concatenated to obtain the overall non-uniform spatial sampling rate on the receiving path when simulating the transmitted signal, and the distribution distance between each spatial sampling point.

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