A method for efficient simulation of TACAN navigation

Abstract

The invention discloses a method for efficient simulation of TACAN navigation, comprising the following steps: S1, defining coarse angular resolution and fine angular resolution; S2, calculating the signal propagation result by the initial first simulation sampling and recording it; S3, simulating the rotation antenna according to the fine resolution; S4, if the angle variation exceeds the coarse angular resolution, then performing electromagnetic propagation simulation calculation of the signal; S5, looping the intermediate sampling points according to the simulation result of the sampling point of the last simulation calculation and the simulation result of the sampling of the current simulation calculation, and obtaining the simulation result by interpolation calculation; S6, summarizing all the radio wave propagation results to obtain the simulated angle measurement result. The angle resolution of TACAN angle measurement is processed by the interpolation method, and the simulation analysis is performed using a larger coarse angular resolution. The angle resolution between the results of the two analyses is quickly obtained using the linear interpolation method, thereby reducing the calculation amount of the simulation processing to one tenth of the original amount, and greatly improving the processing efficiency of the simulation.

Description

Technical Field

[0001] The invention relates to the field of electrical digital data processing, in particular to design optimization, and specifically to a method for efficient simulation of TACAN navigation. Background Art

[0002] The TACAN system is a radio navigation system used for aircraft navigation. It is mainly used to measure the distance and azimuth between the aircraft and the ground TACAN station. The angle measurement principle of the TACAN system is based on the propagation time and phase difference of the radio signal. In the field of radio navigation technology, the TACAN system is an important airborne navigation system. The TACAN system generally consists of two basic devices, namely the TACAN beacon and the airborne equipment. The radio signal interaction between the TACAN beacon and the airborne equipment realizes the precise navigation and positioning of the aircraft.

[0003] The performance of wireless communication systems is mainly restricted by mobile wireless channels. The propagation path between the transmitter and the receiver is very complex, ranging from simple line-of-sight propagation to encountering various complex terrains, such as buildings, mountains and leaves. Unlike wired channels, which are fixed and predictable, wireless channels are extremely random and difficult to analyze. Even the speed of the mobile station will affect the fading of the signal level. In order to accurately evaluate and optimize the performance of the TACAN system, especially the radio wave propagation characteristics under different environmental conditions, it is necessary to simulate and analyze the radio wave propagation of TACAN navigation.

[0004] The TACAN angle measurement navigation station measures the position of the aircraft based on the principle of rotating antenna radiation pattern. The simulation method can be used to simulate the process of TACAN angle measurement and analyze the factors affecting angle measurement. Among the existing simulation technologies, the ITU (International Telecommunication Union) propagation model is widely used to predict the propagation characteristics of radio waves. The model can consider the influence of various environmental factors on radio wave propagation, such as terrain, buildings, atmospheric conditions, etc., and calculate key parameters such as radio wave propagation loss and receiver power under different conditions based on mathematical algorithms and experimental data. In the simulation process, it is necessary to simulate and calculate the scenes where the TACAN transmitting antenna rotates to different angles. Since the accuracy of TACAN angle measurement navigation can reach less than 0.25 degrees, the angle resolution calculated in the simulation process needs to be about 0.1 degrees to fully simulate the working process of angle measurement, otherwise it will cause data distortion and fail to achieve the accuracy required for angle measurement.

[0005] For a position of the aircraft, at least one circle, i.e. 360 degrees, needs to be simulated. Considering the need to process the overlapping parts on both sides of the data, 1.1 circles need to be simulated. With an angle resolution of 0.1 degrees, 3960 radio wave propagation simulations are required. When there are many track points to be analyzed, the amount of calculation is very large and the simulation process takes a long time.

[0006] Therefore, it is necessary to improve the deficiencies in the prior art to solve the above problems. Summary of the invention

[0007] The invention overcomes the shortcomings of the prior art and provides a method for efficient simulation of TACAN navigation.

[0008] To achieve the above object, the technical solution adopted by the present invention is: a method for efficient simulation of TACAN navigation, comprising the following steps:

[0009] S1. defining the coarse angle resolution and fine angle resolution to be processed;

[0010] S2, the first simulated sampling data is initially used to calculate the electromagnetic propagation simulation result of the signal, and the angle and simulation result value corresponding to the current simulated sampling are recorded;

[0011] S3, rotating the antenna according to the fine angle resolution to simulate the simulation process;

[0012] S4, if the angle change of the current sampling point compared with the last electromagnetic propagation simulation calculation sampling point exceeds the coarse angle resolution, then perform electromagnetic propagation simulation calculation of the signal;

[0013] S5, looping the intermediate sampling points according to the signal propagation simulation results of the sampling points calculated by the last electromagnetic propagation simulation and the simulation results of the current simulation, and interpolating and calculating to obtain the signal electromagnetic propagation simulation results of the intermediate sampling points;

[0014] S6. Summarize the electromagnetic propagation simulation results of all simulated sampling points to obtain the simulated angle measurement results.

[0015] In a preferred embodiment of the present invention, in step S1, the coarse angle resolution is set to 1.0°, and the fine angle resolution is set to 0.1°.

[0016] In a preferred embodiment of the present invention, in step S2, the corresponding angle and simulation result values ​​are used as the previous angle and simulation result.

[0017] In a preferred embodiment of the present invention, in step S2, the electromagnetic propagation simulation includes the following steps:

[0018] S21, obtaining the TACAN airborne position and ground beacon station position parameters, as well as the TACAN airborne equipment and ground beacon station equipment parameters;

[0019] S22. According to the positional relationship between the TACAN airborne equipment and the ground beacon station, the ITU propagation model is selected to calculate the propagation loss of the radio waves between the two.

[0020] S23, according to the transmitter power and propagation loss of the ground beacon station, the receiver power reaching the TACAN airborne equipment is calculated, the receiver power is compared with the receiver sensitivity of the TACAN airborne equipment, and it is determined whether the signal can be successfully received, and in subsequent processing, according to the virtual sampling data of the signal obtained by simulation, the TACAN lateral analysis method is used to obtain the lateral result;

[0021] S24, pairing according to the airborne interrogation frequency, the ground beacon station response frequency, the airborne equipment working mode and the airborne equipment working channel number N, to ensure that the two communicate on the same frequency;

[0022] S25. Output electromagnetic propagation simulation results, including the propagation loss, receiver power and signal reception conditions involved, and obtain signal virtual sampling data for subsequent lateral processing.

[0023] In a preferred embodiment of the present invention, in the step S21, the TACAN airborne equipment parameters include: airborne equipment longitude, airborne equipment latitude, airborne equipment altitude, airborne interrogation frequency, airborne transmitter power, airborne equipment working status, receiver sensitivity and airborne equipment working mode; the ground beacon equipment parameters include: ground beacon equipment longitude, ground beacon equipment latitude, ground beacon equipment altitude, ground beacon equipment response frequency, ground beacon equipment transmitter power, ground beacon equipment receiver sensitivity and ground beacon equipment identification information.

[0024] In a preferred embodiment of the present invention, in the step S23, the formula for calculating the receiver power is specifically: ;

[0025] in, is the receiver power; is the airborne transmitter power; is the propagation loss.

[0026] In a preferred embodiment of the present invention, in step S23, when the receiver power is less than the receiver sensitivity, it is judged that the link is disconnected and the signal cannot be received; when the receiver power is greater than the receiver sensitivity, it is judged that the link is normal and the signal can be received.

[0027] In a preferred embodiment of the present invention, in the step S24, the operating modes of the airborne device include: X mode and Y mode;

[0028] When the operating mode of the airborne device is X mode: ;

[0029] When the operating mode of the airborne equipment is Y mode: ;

[0030] in, It is the reply frequency of the ground beacon equipment; is the airborne interrogation frequency.

[0031] In a preferred embodiment of the present invention, in step S3, for sampling points that do not reach the coarse angular resolution, electromagnetic propagation simulation calculation of the signal is not performed.

[0032] In a preferred embodiment of the present invention, in the step S5, the interpolation calculation formula is specifically: ;

[0033] in: and are the sampling points of the current simulation calculation and the sampling points of the previous simulation calculation, is the unknown sampling point to be interpolated and predicted; is the value to be interpolated Electromagnetic propagation results of sampling points; is the electromagnetic propagation result of the sampling point calculated in the previous simulation; It is the electromagnetic propagation result of the simulation calculation at the current sampling point.

[0034] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0035] The invention provides a method for efficient simulation of TACAN navigation. The method processes the angular resolution of TACAN angle measurement by adopting an interpolation method, uses a larger coarse angular resolution for simulation analysis, and uses a linear interpolation method to quickly obtain the angular resolution between the results of two analyses. This avoids the need for a traditional TACAN angle measurement simulation method to perform complete radio wave propagation simulation calculations on each angle according to fine angular resolution, which results in a large amount of calculations and a long time consumption when processing multiple track points or large-scale simulations. This reduces the amount of calculations for simulation processing to one tenth of the original amount, and greatly improves the processing efficiency of the simulation.

[0036] In the present invention, during the TACAN simulation processing, for the positioning processing of a position point, the coarse angle resolution is first used to perform radio wave propagation calculation, and for the radio wave propagation result of the fine angle resolution actually required, the simulation result of the sampling point corresponding to the intermediate angle is obtained by using the linear interpolation method, thereby improving the processing efficiency. At the same time, through the analysis of theoretical and actual results, it is verified that the method can meet the needs of TACAN angle measurement simulation, and the effect of simulation calculation is not affected by interpolation, so that there is no obvious decline in analysis effect or influence on accuracy, thereby ensuring the accuracy of angle measurement.

[0037] In the present invention, through simulation analysis, the performance of the TACAN angle measurement system in different environments can be more comprehensively understood, including signal propagation characteristics, noise interference effects, etc. The application of the interpolation method makes the simulation results smoother and more continuous, which helps to more accurately evaluate the stability and reliability of the system and provide guidance for error correction and performance optimization in practical applications.

[0038] The present invention provides a new idea and method for TACAN angle measurement simulation, promotes the application and development of simulation technology in the field of radio navigation, and significantly reduces the consumption of computing resources in the simulation process due to the reduction in the amount of calculation, including processor time, memory usage, etc., making the simulation work more economical and efficient. At the same time, reducing the simulation time also means that the simulation results can be obtained faster, which accelerates the product development and testing cycle and improves resource utilization and overall work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work.

[0040] Figure 1 is a processing flow chart of a TACAN navigation efficient simulation method according to a preferred embodiment of the present invention;

[0041] Figure 2 is a diagram showing the relationship between a simulated received signal and a zero-crossing point when interpolation is not used in a preferred embodiment of the present invention;

[0042] Figure 3 is a diagram showing the relationship between a simulated received signal and a zero-crossing point when an interpolation method is used in a preferred embodiment of the present invention;

[0043] Figure 4 It is a relationship diagram of a simulated received signal and a zero-crossing point when an interpolation method is used in the presence of interference noise according to a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0044] 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.

[0045] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0046] like Figure 1 As shown, a method for efficient simulation of TACAN navigation comprises the following steps:

[0047] S1. defining the coarse angle resolution and fine angle resolution to be processed;

[0048] S2, the first simulated sampling data is initially used to calculate the electromagnetic propagation simulation result of the signal, and the angle and simulation result value corresponding to the current simulated sampling are recorded;

[0049] S3, rotating the antenna according to the fine angle resolution to simulate the simulation process;

[0050] S4, if the angle change of the current sampling point compared with the last electromagnetic propagation simulation calculation sampling point exceeds the coarse angle resolution, then perform electromagnetic propagation simulation calculation of the signal;

[0051] S5, looping the intermediate sampling points according to the signal propagation simulation results of the sampling points calculated by the last electromagnetic propagation simulation and the simulation results of the current simulation, and interpolating and calculating to obtain the signal electromagnetic propagation simulation results of the intermediate sampling points;

[0052] S6. Summarize the electromagnetic propagation simulation results of all simulated sampling points to obtain the simulated angle measurement results.

[0053] In this embodiment, in step S1, the coarse angle resolution is set to 1.0° and the fine angle resolution is set to 0.1°; the setting basis of the fine angle resolution is based on the accuracy requirement of TACAN angle measurement, so as to obtain the angle resolution required for TACAN angle measurement simulation, and the setting basis of the coarse angle resolution is based on the performance requirement of system processing, and needs to be set to an integer multiple of the fine angle resolution to simplify processing.

[0054] In this embodiment, in step S2, the corresponding angle and simulation result values ​​are used as the previous angle and simulation result; the sampling data are the position parameters and equipment parameters of the TACAN airborne equipment and the ground beacon station, and the angle between the two.

[0055] In this embodiment, in step S2, the electromagnetic propagation simulation includes the following steps:

[0056] S21, obtaining the TACAN airborne position and ground beacon station position parameters, as well as the TACAN airborne equipment and ground beacon station equipment parameters;

[0057] S22. According to the positional relationship between the TACAN airborne equipment and the ground beacon station, the ITU propagation model is selected to calculate the propagation loss of the radio waves between the two.

[0058] S23, according to the transmitter power and propagation loss of the ground beacon station, the receiver power reaching the TACAN airborne equipment is calculated, the receiver power is compared with the receiver sensitivity of the TACAN airborne equipment, and it is determined whether the signal can be successfully received, and in subsequent processing, according to the virtual sampling data of the signal obtained by simulation, the TACAN lateral analysis method is used to obtain the lateral result;

[0059] S24, pairing according to the airborne interrogation frequency, the ground beacon station response frequency, the airborne equipment working mode and the airborne equipment working channel number N, to ensure that the two communicate on the same frequency;

[0060] S25. Output electromagnetic propagation simulation results, including the propagation loss, receiver power and signal reception conditions involved, and obtain signal virtual sampling data for subsequent lateral processing.

[0061] It should be noted that in the TACAN simulation process, when the signal propagation simulation calculation is relatively good, the time required for interpolation processing can be ignored.

[0062] In this embodiment, in step S21, the TACAN airborne equipment parameters include: airborne equipment longitude, airborne equipment latitude, airborne equipment altitude, airborne interrogation frequency, airborne transmitter power, airborne equipment working status, receiver sensitivity and airborne equipment working mode; the ground beacon equipment parameters include: ground beacon equipment longitude, ground beacon equipment latitude, ground beacon equipment altitude, ground beacon equipment response frequency, ground beacon equipment transmitter power, ground beacon equipment receiver sensitivity and ground beacon equipment identification information.

[0063] In this implementation manner, in step S23, the formula for calculating the receiver power is specifically: ;

[0064] in, is the receiver power; is the airborne transmitter power; is the propagation loss.

[0065] In this embodiment, in step S23, when the receiver power is less than the receiver sensitivity, it is determined that the link is disconnected and the signal cannot be received; when the receiver power is greater than the receiver sensitivity, it is determined that the link is normal and the signal can be received.

[0066] In this embodiment, in step S24, the airborne device operating modes include: X mode and Y mode;

[0067] When the onboard equipment is in X mode: ;

[0068] When the airborne equipment is in Y mode: ;

[0069] in, It is the reply frequency of the ground beacon equipment; is the airborne interrogation frequency.

[0070] In this embodiment, in step S3, for sampling points that do not reach the coarse angular resolution, electromagnetic propagation simulation calculation of the signal is not performed.

[0071] In this embodiment, in step S5, the interpolation calculation formula is specifically: ;

[0072] in: and are the sampling points of the current simulation calculation and the sampling points of the previous simulation calculation, is the unknown sampling point to be interpolated and predicted; is the value to be interpolated Electromagnetic propagation results of sampling points; is the electromagnetic propagation result of the sampling point calculated in the previous simulation; It is the electromagnetic propagation result of the simulation calculation at the current sampling point.

[0073] It should be noted that the angular resolution of TACAN angle measurement is processed by interpolation method, and a larger coarse angular resolution is used for simulation analysis. The angular resolution between the results of the two analyses is quickly obtained using linear interpolation method, which avoids the need for traditional TACAN angle measurement simulation method to perform complete radio wave propagation simulation calculations for each angle according to fine angular resolution, resulting in a huge amount of calculation and a long time consumption when processing multiple track points or large-scale simulations. The amount of calculation for simulation processing is reduced to one tenth of the original amount, greatly improving the processing efficiency of the simulation.

[0074] In this embodiment, in order to verify that the method can achieve the purpose and requirements of simulation analysis, the processing process of TACAN angle measurement and the application scenario are combined to analyze the possible impact of interpolation processing on the simulation results in theory. One of the main uses of simulation is to analyze the large interference or noise in the scene.

[0075] Specifically, when there is no large interference noise, the influence on the calculation of the zero point value is that in the TACAN lateral simulation, the maximum and minimum values ​​of the signals received from the transmitting antenna in different directions are used to calculate the median of the two as the value of the zero crossing point; Figure 2The figure shows the calculation of zero point values ​​and zero crossings when interpolation is not used. Figure 3 It shows the situation where the zero point value and the zero crossing point are calculated when the interpolation method is used; the comparison of the minimum value, the maximum value and the zero point value of the signal graph within one cycle when the interpolation method is not used and when the interpolation method is used is shown in Table 1.

[0076] Table 1:

[0077]

[0078] From the data in Table 1, we can see that interpolation affects both the minimum and maximum values ​​in a small range, but has little effect on the zero value.

[0079] In the absence of large interference noise, the impact on the search for zero-crossing points: During the simulation process, the method for finding the zero-crossing point is to determine that the difference between the channel size and the signal size at the zero-crossing point is within a certain threshold, and at the same time, the signal size trend within the range of ±20° on both sides of the signal position meets the requirements of the zero-crossing point. What ultimately affects the simulation calculation results is the data subscript (position offset) where the zero-crossing point is located. Each position offset represents a fixed resolution angle, so the position offset can be converted into an angle measurement result; through Figure 2 and Figure 3 It can be seen that the signal position subscripts for finding the zero-crossing point that meets the conditions based on the zero point value are all at 2266, which has no effect on the results of the simulation angle measurement.

[0080] In the presence of large interference noise, the impact on the analysis results: In the presence of large interference noise, the purpose of simulation analysis is to reflect the impact of interference noise on the analysis results, so as to further analyze the cause of the impact. Figure 4 When there is interference noise, the zero point value and zero crossing point are calculated using the interpolation method. Figure 4 It can be seen that the maximum value, minimum value, zero point value and zero-crossing point position are all significantly different from the actual situation, and the actual calculated zero-crossing point position and positioning results are also quite different from the actual situation, which can reflect the influence of interference noise factors.

[0081] It should be noted that in the TACAN simulation process, for the positioning of a position point, the coarse angle resolution is first used to calculate the radio wave propagation, and for the radio wave propagation results with fine angle resolution actually required, the simulation results of the sampling points corresponding to the intermediate angles are obtained using the linear interpolation method, thereby improving the processing efficiency. At the same time, through the analysis of theoretical and actual results, it is verified that this method can meet the needs of TACAN angle measurement simulation, and the effect of simulation calculation is not affected by interpolation.

[0082] The above is based on the ideal embodiment of the present invention. Through the above description, it is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is limited by the attached claims rather than the above description, and it is intended to include all changes within the meaning and scope of the equivalent elements of the claims. Any figure mark in the claims should not be regarded as limiting the claims involved.

[0083] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for efficient simulation of TACAN navigation, characterized in that: The following steps are involved: S1. defining the coarse angle resolution and fine angle resolution to be processed; S2, the first simulated sampling data is initially used to calculate the electromagnetic propagation simulation result of the signal, and the angle and simulation result value corresponding to the current simulated sampling are recorded; S3, rotating the antenna according to the fine angle resolution to simulate the simulation process; S4, if the angle change of the current sampling point compared with the last electromagnetic propagation simulation calculation sampling point exceeds the coarse angle resolution, then perform electromagnetic propagation simulation calculation of the signal; S5, looping the intermediate sampling points according to the signal propagation simulation results of the sampling points calculated by the last electromagnetic propagation simulation and the simulation results of the current simulation, and interpolating and calculating to obtain the signal electromagnetic propagation simulation results of the intermediate sampling points; S6, summarizing the electromagnetic propagation simulation results of all simulated sampling points to obtain the simulated angle measurement results; In the step S5, the interpolation calculation formula is specifically: ;in: and are the sampling points of the current simulation calculation and the sampling points of the previous simulation calculation, is the unknown sampling point to be interpolated and predicted; is the value to be interpolated Electromagnetic propagation results of sampling points; is the electromagnetic propagation result of the sampling point calculated in the previous simulation; It is the electromagnetic propagation result of the simulation calculation at the current sampling point.

2. The method for efficient TACAN navigation simulation according to claim 1, characterized in that: In the step S1, the coarse angle resolution is set to 1.0°, and the fine angle resolution is set to 0.1°.

3. The method for efficient TACAN navigation simulation according to claim 1, characterized in that: In the step S2, the corresponding angle and simulation result values ​​are used as the previous angle and simulation result.

4. The method for efficient TACAN navigation simulation according to claim 1, characterized in that: In the step S2, the electromagnetic propagation simulation includes the following steps: S21, obtaining the TACAN airborne position and ground beacon station position parameters, as well as the TACAN airborne equipment and ground beacon station equipment parameters; S22. According to the positional relationship between the TACAN airborne equipment and the ground beacon station, the ITU propagation model is selected to calculate the propagation loss of the radio waves between the two. S23, according to the transmitter power and propagation loss of the ground beacon station, the receiver power reaching the TACAN airborne equipment is calculated, the receiver power is compared with the receiver sensitivity of the TACAN airborne equipment, and it is determined whether the signal can be successfully received, and in subsequent processing, according to the virtual sampling data of the signal obtained by simulation, the TACAN lateral analysis method is used to obtain the lateral result; S24, pairing according to the airborne interrogation frequency, the ground beacon station response frequency, the airborne equipment working mode and the airborne equipment working channel number N, to ensure that the two communicate on the same frequency; S25. Output electromagnetic propagation simulation results, including the propagation loss, receiver power and signal reception conditions involved, and obtain signal virtual sampling data for subsequent lateral processing.

5. The method for efficient TACAN navigation simulation according to claim 4, characterized in that: In the step S21, the TACAN airborne equipment parameters include: airborne equipment longitude, airborne equipment latitude, airborne equipment altitude, airborne interrogation frequency, airborne transmitter power, airborne equipment working status, receiver sensitivity and airborne equipment working mode; the ground beacon equipment parameters include: ground beacon equipment longitude, ground beacon equipment latitude, ground beacon equipment altitude, ground beacon equipment response frequency, ground beacon equipment transmitter power, ground beacon equipment receiver sensitivity and ground beacon equipment identification information.

6. The method for efficient TACAN navigation simulation according to claim 4, characterized in that: In the step S23, the formula for calculating the receiver power is specifically: ;in, is the receiver power; is the airborne transmitter power; is the propagation loss.

7. The method for efficient TACAN navigation simulation according to claim 4, characterized in that: In the step S23, when the receiver power is less than the receiver sensitivity, it is determined that the link is disconnected and the signal cannot be received; when the receiver power is greater than the receiver sensitivity, it is determined that the link is normal and the signal can be received.

8. The method for efficient TACAN navigation simulation according to claim 4, characterized in that: In the step S24, the operating modes of the airborne equipment include: X mode and Y mode; When the operating mode of the airborne equipment is X mode: ; When the operating mode of the airborne equipment is Y mode: ;in, It is the reply frequency of the ground beacon equipment; is the airborne interrogation frequency.

9. The method for efficient TACAN navigation simulation according to claim 1, characterized in that: In the step S3, for sampling points that do not reach the coarse angular resolution, the electromagnetic propagation simulation calculation of the signal is not performed.

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