Compressed sensing outdoor positioning method based on electromagnetic field intensity

Abstract

The invention relates to the technical field of wireless communication and signal processing, and discloses an electromagnetic field intensity-based compressed sensing outdoor positioning method, which comprises the following steps of: 1, establishing an electromagnetic field data module, an electromagnetic field data calculation module, an electromagnetic field compressed sensing module and an electromagnetic field positioning module; step 2, acquiring electromagnetic field intensity data in an electromagnetic field data module; 3, transmitting the collected data to an electromagnetic field data calculation module through a network for calculation; step 4, supplementing a power supply loss part affected by the environment in the electromagnetic field compressed sensing module so as to increase the power supply amount; and step 5, giving a coefficient supplement command by using the electromagnetic field positioning module, performing supplement application through a power supply loss part so that the electromagnetic field positioning method can adapt to different propagation environments, and calculating the adjustment capability through dynamic calculation of the electromagnetic field data calculation module. Therefore, the process of the method can still be operated efficiently in different complex environments.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communication and signal processing, and in particular to a compressed sensing outdoor positioning method based on electromagnetic field strength. Background Art

[0002] Traditional electromagnetic sensing positioning methods face many challenges in practical applications. First, the propagation of electromagnetic signals is easily affected by environmental factors such as weather and terrain, resulting in unstable positioning accuracy, especially in complex environments, such as urban high-rise areas or variable terrain in the wild, where signal reflection and multipath effects will significantly interfere with positioning results. Secondly, these traditional methods often rely on continuous power supply, which not only increases energy consumption, but also limits the long-term deployment and application flexibility of equipment. More importantly, the positioning method of a single electromagnetic source is difficult to achieve energy self-sufficiency, especially in remote or difficult-to-reach areas, where power supply becomes a major problem. In addition, the existing technology fails to effectively integrate multiple environmental energy sources such as electric fields, magnetic fields, temperature differences, and vibrations to improve the robustness and adaptability of the positioning system in a multi-source fusion manner, which is particularly insufficient when facing diverse application requirements. Therefore, the development of a new positioning method that can comprehensively utilize multiple environmental energies, overcome the influence of complex environments, improve positioning accuracy and stability, and solve the power supply problem has become a technical bottleneck that needs to be solved urgently. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the shortcomings of the prior art, the present invention provides a compressed sensing outdoor positioning method based on electromagnetic field strength, which has the advantages of positioning not being affected by environmental factors and sufficient power supply, solving the problem of insufficient power supply caused by the propagation of traditional electromagnetic signals being easily affected by environmental factors.

[0005] (II) Technical solution

[0006] To achieve the above object, the present invention provides the following technical solution: a compressed sensing outdoor positioning method based on electromagnetic field strength, comprising the following steps:

[0007] Step 1: Establish an electromagnetic field data module, an electromagnetic field data calculation module, an electromagnetic field compressed sensing module and an electromagnetic field positioning module;

[0008] Step 2: Collect electromagnetic field intensity data in the electromagnetic field data module;

[0009] Step 3: The collected data is transmitted to the electromagnetic field data calculation module through the network for calculation;

[0010] Step 4: Supplement the power supply loss caused by the environment in the electromagnetic field compression sensing module, thereby increasing the power supply;

[0011] Step 5: Use the electromagnetic field positioning module to issue coefficient supplement commands.

[0012] Preferably, the electromagnetic field data module includes a complex terrain path loss data unit and a complex terrain signal data unit. The complex terrain path loss data unit obtains complex terrain path loss data through D electronic maps, channel measured data and terrain profile data. The complex terrain signal data unit obtains complex terrain signal data through vehicle-mounted mobile electromagnetic environment monitoring equipment, electronic maps and geospatial data cloud. The complex terrain path loss data unit and the complex terrain signal data unit number the internal data of the units and then transmit the data to the electromagnetic field data calculation module through the network.

[0013] Preferably, the electromagnetic field data calculation module includes a path loss compensation unit, a signal arrival time compensation unit and a signal strength ratio compensation unit. The path loss compensation unit calculates the path loss compensation coefficient Dz based on the complex terrain path loss data, the signal arrival time compensation unit calculates the signal arrival time compensation coefficient Gz based on the complex terrain signal data, and the signal strength ratio compensation unit calculates the signal strength ratio compensation coefficient Hz based on the complex terrain signal data. The path loss compensation unit, the signal arrival time compensation unit and the signal strength ratio compensation unit are connected to the electromagnetic field compressed sensing module through a network.

[0014] Preferably, the complex terrain path loss data unit performs data numbering on the actual distance of signal propagation, reference distance, path loss at the reference distance, propagation environment influence factors, terrain influence factors, topography influence factors and carrier frequency according to the complex terrain path loss data characteristics, and the actual distance of signal propagation, reference distance, path loss at the reference distance, propagation environment influence factors, terrain influence factors, topography influence factors and carrier frequency are numbered as d, d1, l1, c1, c2, c3, v, respectively.

[0015] Preferably, the complex terrain signal data unit performs data numbering on the signal arrival time of the electromagnetic field strength on flat ground, the time required for the signal to directly go from the transmitter to the receiver, the extra time required for the signal to bypass obstacles, and the extra time caused by the multipath effect according to the complex terrain signal data characteristics, and the signal arrival time of the electromagnetic field strength on flat ground, the time required for the signal to directly go from the transmitter to the receiver, the extra time required for the signal to bypass obstacles, and the extra time caused by the multipath effect are numbered as t, t1, t2, and t3, respectively. The complex terrain signal data unit performs data numbering on the potential difference, electromagnetic induction intensity, electric field intensity predicted by the environment model, and magnetic field intensity predicted by the environment model within a distance according to the complex terrain signal data characteristics, and the potential difference, electromagnetic induction intensity, electric field intensity predicted by the environment model, and magnetic field intensity predicted by the environment model within a distance are numbered as U, θ, E, and H, respectively.

[0016] Preferably, the path loss compensation unit calculates the path loss compensation coefficient Dz according to the complex terrain path loss data, and the calculation formula is:

[0017]

[0018] In the formula, Dz represents the path loss compensation coefficient, l1 represents the path loss at the reference distance d1, is the path loss index, d represents the actual distance of signal propagation, d1 represents the reference distance, represents the path loss at distance d.

[0019] Preferably, the signal arrival time compensation unit calculates the signal arrival time compensation coefficient Gz according to the complex terrain signal data, and the calculation formula is:

[0020]

[0021] In the formula, Gz represents the signal arrival time compensation coefficient, t1 represents the signal arrival time of the electromagnetic field strength on flat ground, t1, t2, and t3 represent the time required for the signal to go directly from the transmitter to the receiver, the extra time required for the signal to bypass obstacles, and the extra time caused by the multipath effect, respectively, and t1+t2+t3 represents the signal arrival time of the electromagnetic field strength on complex terrain.

[0022] Preferably, the signal strength ratio compensation unit calculates the signal strength ratio compensation coefficient Hz according to the complex terrain signal data, and the calculation formula is:

[0023]

[0024] In the formula, Hz represents the signal strength ratio compensation coefficient, E represents the electric field strength predicted by the environmental model, H represents the magnetic field strength predicted by the environmental model, U and θ represent the potential difference and electromagnetic induction intensity within a certain distance, respectively. represents the electric field strength, α represents a distance, ε represents the magnetic permeability of vacuum, M represents the magnetization intensity, Indicates the magnetic field strength.

[0025] Preferably, the electromagnetic field compression sensing module supplements the power supply loss part affected by the environment with a power supply algorithm according to the path loss compensation coefficient Dz, the signal arrival time compensation coefficient Gz and the signal strength ratio compensation coefficient Hz, thereby increasing the power supply.

[0026] Preferably, the electromagnetic field positioning module issues coefficient supplement commands to the path loss compensation unit, the signal arrival time compensation unit and the signal strength ratio compensation unit according to the electromagnetic field compression sensing module.

[0027] Compared with the prior art, the present invention provides a compressed sensing outdoor positioning method based on electromagnetic field strength, which has the following beneficial effects:

[0028] 1. The present invention calculates the path loss compensation coefficient Dz. The formula comprehensively considers the influence of factors such as complex terrain, building shielding and reflection on the propagation of electromagnetic signals, and provides accurate path loss compensation for the positioning method of the present invention. This enables relevant personnel to increase the appropriate power supply on the line or equipment according to the specific path loss compensation coefficient Dz, thereby compensating for the missing part of the electromagnetic field caused by the path loss. By inputting specific propagation environment parameters such as urban, suburban and indoor into the calculation formula of the path loss compensation coefficient Dz in real time, the calculation model becomes more flexible and can adapt to the electromagnetic signal propagation characteristics under different environmental conditions. At the same time, the formula has adaptive ability and can dynamically adjust the path loss compensation coefficient Dz according to changes in the actual propagation environment, ensuring that the system can still maintain efficient operation in the face of different complex environments to ensure the stability of electromagnetic signal transmission. This dynamic adjustment and adaptive mechanism helps to improve positioning accuracy and system reliability, so that the positioning method can perform optimal performance in various environments.

[0029] 2. The present invention calculates the signal arrival time compensation coefficient Gz. This method can effectively compensate for the signal propagation delay caused by complex terrain, thereby improving the accuracy of the positioning system. The calculation formula can dynamically adjust the time parameters according to different terrains, thereby adapting to various complex terrains to ensure the accuracy of the signal arrival time under changing conditions. By optimizing the signal propagation path and reducing unnecessary signal propagation, the method can also reduce system energy consumption, effectively solve the problem of insufficient power supply, and enhance the system's continuous operation capability. The compensation mechanism can not only improve the positioning efficiency, but also enhance the accuracy of the system's positioning time in complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] See also Figure 1 , a compressed sensing outdoor positioning method based on electromagnetic field strength, comprising the following steps:

[0033] Step 1: Establish an electromagnetic field data module, an electromagnetic field data calculation module, an electromagnetic field compressed sensing module and an electromagnetic field positioning module;

[0034] Step 2: Collect electromagnetic field intensity data in the electromagnetic field data module;

[0035] Step 3: The collected data is transmitted to the electromagnetic field data calculation module through the network for calculation;

[0036] Step 4: Supplement the power supply loss caused by the environment in the electromagnetic field compression sensing module, thereby increasing the power supply;

[0037] Step 5: Use the electromagnetic field positioning module to issue coefficient supplement commands.

[0038] The electromagnetic field data module includes a complex terrain path loss data unit and a complex terrain signal data unit. The complex terrain path loss data unit obtains complex terrain path loss data through D electronic maps, channel measured data and terrain profile data. The complex terrain signal data unit obtains complex terrain signal data through vehicle-mounted mobile electromagnetic environment monitoring equipment, electronic maps and geographic space data cloud. The complex terrain path loss data unit and the complex terrain signal data unit number the internal data of the unit and transmit the data to the electromagnetic field data calculation module through the network.

[0039] The electromagnetic field data calculation module includes a path loss compensation unit, a signal arrival time compensation unit and a signal strength ratio compensation unit. The path loss compensation unit calculates a path loss compensation coefficient Dz according to the complex terrain path loss data. The signal arrival time compensation unit calculates a signal arrival time compensation coefficient Gz according to the complex terrain signal data. The signal strength ratio compensation unit calculates a signal strength ratio compensation coefficient Hz according to the complex terrain signal data. The path loss compensation unit, the signal arrival time compensation unit and the signal strength ratio compensation unit are connected to the electromagnetic field compressed sensing module through a network.

[0040] The complex terrain path loss data unit numbers the actual distance of signal propagation, reference distance, path loss at the reference distance, propagation environment influence factors, terrain influence factors, topography influence factors and carrier frequency according to the complex terrain path loss data characteristics. The actual distance of signal propagation, reference distance, path loss at the reference distance, propagation environment influence factors, terrain influence factors, topography influence factors and carrier frequency are numbered as d, d1, l1, c1, c2, c3 and v respectively.

[0041] The complex terrain signal data unit numbers the signal arrival time of the electromagnetic field strength on flat ground, the time required for the signal to go directly from the transmitter to the receiver, the extra time required for the signal to bypass obstacles, and the extra time caused by the multipath effect according to the complex terrain signal data characteristics. The signal arrival time of the electromagnetic field strength on flat ground, the time required for the signal to go directly from the transmitter to the receiver, the extra time required for the signal to bypass obstacles, and the extra time caused by the multipath effect are numbered as t, t1, t2, and t3, respectively. The complex terrain signal data unit numbers the potential difference, electromagnetic induction intensity, environmental model predicted electric field intensity, and environmental model predicted magnetic field intensity within a distance according to the complex terrain signal data characteristics. The potential difference, electromagnetic induction intensity, environmental model predicted electric field intensity, and environmental model predicted magnetic field intensity within a distance are numbered as U, θ, E, and H, respectively.

[0042] The path loss compensation unit calculates the path loss compensation coefficient Dz according to the complex terrain path loss data, and the calculation formula is:

[0043]

[0044] In the formula, Dz represents the path loss compensation coefficient, l1 represents the path loss at the reference distance d1, is the path loss index, d represents the actual distance of signal propagation, d1 represents the reference distance, represents the path loss at distance d.

[0045] The advantages are: by calculating the path loss compensation coefficient Dz, the formula comprehensively considers the influence of factors such as complex terrain, building shielding and reflection on the propagation of electromagnetic signals, and provides accurate path loss compensation for the positioning method of the present invention, which enables relevant personnel to increase the appropriate power supply on the line or equipment according to the specific path loss compensation coefficient Dz, thereby compensating for the missing part of the electromagnetic field caused by the path loss. By real-time input of specific propagation environment parameters such as urban, suburban and indoor in the calculation formula of the path loss compensation coefficient Dz, the calculation model becomes more flexible and can adapt to the electromagnetic signal propagation characteristics under different environmental conditions. At the same time, the formula has adaptive ability and can dynamically adjust the path loss compensation coefficient Dz according to changes in the actual propagation environment, ensuring that the system can still maintain efficient operation in the face of different complex environments to ensure the stability of electromagnetic signal transmission. This dynamic adjustment and adaptive mechanism helps to improve positioning accuracy and system reliability, so that the positioning method can perform at its best in various environments.

[0046] The signal arrival time compensation unit calculates the signal arrival time compensation coefficient Gz based on the complex terrain signal data. The calculation formula is:

[0047]

[0048] In the formula, Gz represents the signal arrival time compensation coefficient, t1 represents the signal arrival time of the electromagnetic field strength on flat ground, t1, t2, and t3 represent the time required for the signal to go directly from the transmitter to the receiver, the extra time required for the signal to bypass obstacles, and the extra time caused by the multipath effect, respectively, and t1+t2+t3 represents the signal arrival time of the electromagnetic field strength on complex terrain.

[0049] The advantages are: by calculating the signal arrival time compensation coefficient Gz, this method can effectively compensate for the signal propagation delay caused by complex terrain, thereby improving the accuracy of the positioning system. The calculation formula can dynamically adjust the time parameters according to different terrains, thereby adapting to various complex terrains to ensure the accuracy of the signal arrival time under changing conditions. By optimizing the signal propagation path and reducing unnecessary signal propagation, this method can also reduce system energy consumption, effectively solve the problem of insufficient power supply, and enhance the system's continuous operation capability. This compensation mechanism can not only improve positioning efficiency, but also enhance the accuracy of the system's positioning time in complex environments.

[0050] The signal strength ratio compensation unit calculates the signal strength ratio compensation coefficient Hz according to the complex terrain signal data. The calculation formula is:

[0051]

[0052] In the formula, Hz represents the signal strength ratio compensation coefficient, E represents the electric field strength predicted by the environmental model, H represents the magnetic field strength predicted by the environmental model, U and θ represent the potential difference and electromagnetic induction intensity within a certain distance, respectively. represents the electric field strength, α represents a distance, ε represents the magnetic permeability of vacuum, M represents the magnetization intensity, Indicates the magnetic field strength.

[0053] The advantages are: by calculating the signal strength ratio compensation coefficient Hz, the formula can reflect the signal strength changes in the actual environment, thereby improving the accuracy of the signal strength ratio compensation; since the calculation model can be updated in real time to reflect the current environmental conditions, the formula can support dynamic adjustment of the signal strength ratio compensation coefficient, so that the electromagnetic field strength can adapt to various environmental changes to ensure the reliability of the communication system; and by improving the capacity of the communication system, the signal attenuation caused by environmental factors can be reduced in complex terrain or changing environments, thereby enhancing the anti-interference ability of the communication system; the formula integrates the influence of the electromagnetic field with other environmental energy sources (such as temperature difference, vibration, etc.), so that the positioning method of the present invention realizes multi-source energy supply.

[0054] The electromagnetic field compressed sensing module supplements the power supply loss caused by environmental influences with the power supply algorithm according to the path loss compensation coefficient Dz, the signal arrival time compensation coefficient Gz and the signal strength ratio compensation coefficient Hz, thereby increasing the power supply. Through these compensation coefficients, the module can effectively supplement the power supply loss caused by environmental influences with the power supply algorithm, thereby increasing the power supply and ensuring the accuracy and stability of electromagnetic field measurement.

[0055] The advantages are: the application of the path loss compensation coefficient Dz, the signal arrival time compensation coefficient Gz and the signal strength ratio compensation coefficient Hz enables the electromagnetic field positioning system to adapt to different propagation environments, including cities, suburbs and indoors. According to the dynamic adjustment capability of the above coefficients, the method process of the present invention can still maintain efficient operation in the face of different complex environments, thereby ensuring the stability of electromagnetic signal transmission in the method.

[0056] The electromagnetic field positioning module issues coefficient supplementary commands to the path loss compensation unit, signal arrival time compensation unit and signal strength ratio compensation unit according to the electromagnetic field compressed sensing module. These commands help optimize the positioning algorithm, reduce the impact of environmental factors on positioning accuracy, and improve positioning accuracy.

[0057] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A compressed sensing outdoor positioning method based on electromagnetic field strength, characterized in that: The following steps are involved: Step 1: Establish an electromagnetic field data module, an electromagnetic field data calculation module, an electromagnetic field compressed sensing module and an electromagnetic field positioning module; Step 2: Collect electromagnetic field intensity data in the electromagnetic field data module; Step 3: The collected data is transmitted to the electromagnetic field data calculation module through the network for calculation; Step 4: Supplement the power supply loss caused by the environment in the electromagnetic field compression sensing module, thereby increasing the power supply; Step 5: Use the electromagnetic field positioning module to issue coefficient supplement commands.

2. The method for outdoor positioning based on compressed sensing of electromagnetic field strength according to claim 1, characterized in that: The electromagnetic field data module includes a complex terrain path loss data unit and a complex terrain signal data unit. The complex terrain path loss data unit obtains complex terrain path loss data through D electronic maps, channel measured data and terrain profile data. The complex terrain signal data unit obtains complex terrain signal data through vehicle-mounted mobile electromagnetic environment monitoring equipment, electronic maps and geographic space data cloud. The complex terrain path loss data unit and the complex terrain signal data unit number the internal data of the unit and transmit the data to the electromagnetic field data calculation module through the network.

3. The method for outdoor positioning based on compressed sensing of electromagnetic field strength according to claim 1, characterized in that: The electromagnetic field data calculation module includes a path loss compensation unit, a signal arrival time compensation unit and a signal strength ratio compensation unit. The path loss compensation unit calculates a path loss compensation coefficient Dz according to complex terrain path loss data, the signal arrival time compensation unit calculates a signal arrival time compensation coefficient Gz according to complex terrain signal data, and the signal strength ratio compensation unit calculates a signal strength ratio compensation coefficient Hz according to complex terrain signal data. The path loss compensation unit, the signal arrival time compensation unit and the signal strength ratio compensation unit are connected to the electromagnetic field compressed sensing module through a network.

4. The method for outdoor positioning based on compressed sensing of electromagnetic field strength according to claim 2, characterized in that: The complex terrain path loss data unit numbers the actual distance of signal propagation, reference distance, path loss at the reference distance, propagation environment influencing factors, terrain influencing factors, topography influencing factors and carrier frequency according to the complex terrain path loss data characteristics. The actual distance of signal propagation, reference distance, path loss at the reference distance, propagation environment influencing factors, terrain influencing factors, topography influencing factors and carrier frequency are numbered as d, d1, l1, c1, c2, c3, v, respectively.

5. The method for outdoor positioning based on compressed sensing of electromagnetic field strength according to claim 2, characterized in that: The complex terrain signal data unit numbers the signal arrival time of the electromagnetic field strength on flat ground, the time required for the signal to directly go from the transmitter to the receiver, the extra time required for the signal to bypass obstacles, and the extra time caused by the multipath effect according to the complex terrain signal data characteristics. The signal arrival time of the electromagnetic field strength on flat ground, the time required for the signal to directly go from the transmitter to the receiver, the extra time required for the signal to bypass obstacles, and the extra time caused by the multipath effect are numbered as t, t1, t2, and t3, respectively. The complex terrain signal data unit numbers the potential difference, electromagnetic induction intensity, environmental model predicted electric field intensity, and environmental model predicted magnetic field intensity within a distance according to the complex terrain signal data characteristics. The potential difference, electromagnetic induction intensity, environmental model predicted electric field intensity, and environmental model predicted magnetic field intensity within a distance are numbered as U, θ, E, and H, respectively.

6. The method for outdoor positioning based on compressed sensing of electromagnetic field strength according to claim 4, characterized in that: The path loss compensation unit calculates the path loss compensation coefficient Dz according to the complex terrain path loss data, and its calculation formula is: In the formula, Dz represents the path loss compensation coefficient, l1 represents the path loss at the reference distance d1, is the path loss index, d represents the actual distance of signal propagation, d1 represents the reference distance, represents the path loss at distance d.

7. The method for outdoor positioning based on compressed sensing of electromagnetic field strength according to claim 5, characterized in that: The signal arrival time compensation unit calculates the signal arrival time compensation coefficient Gz according to the complex terrain signal data, and its calculation formula is: In the formula, Gz represents the signal arrival time compensation coefficient, t1 represents the signal arrival time of the electromagnetic field strength on flat ground, t1, t2, and t3 represent the time required for the signal to go directly from the transmitter to the receiver, the extra time required for the signal to bypass obstacles, and the extra time caused by the multipath effect, respectively, and t1+t2+t3 represents the signal arrival time of the electromagnetic field strength on complex terrain.

8. The method for outdoor positioning based on compressed sensing of electromagnetic field strength according to claim 5, characterized in that: The signal strength ratio compensation unit calculates the signal strength ratio compensation coefficient Hz according to the complex terrain signal data, and the calculation formula is: In the formula, Hz represents the signal strength ratio compensation coefficient, E represents the electric field strength predicted by the environmental model, H represents the magnetic field strength predicted by the environmental model, U and θ represent the potential difference and electromagnetic induction intensity within a certain distance, respectively. represents the electric field strength, α represents a distance, ε represents the magnetic permeability of vacuum, M represents the magnetization intensity, Indicates the magnetic field strength.

9. The method for outdoor positioning based on compressed sensing of electromagnetic field strength according to claim 1, characterized in that: The electromagnetic field compression sensing module supplements the power supply loss part affected by the environment according to the path loss compensation coefficient Dz, the signal arrival time compensation coefficient Gz and the signal strength ratio compensation coefficient Hz, thereby increasing the power supply.

10. The method for outdoor positioning based on compressed sensing of electromagnetic field strength according to claim 1, characterized in that: The electromagnetic field positioning module issues coefficient supplement commands to the path loss compensation unit, the signal arrival time compensation unit and the signal strength ratio compensation unit according to the electromagnetic field compression sensing module.

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