A method for predicting radiation performance parameters of radio frequency communication equipment

Abstract

The present invention is applicable to the field of communication technology, and provides a method for predicting radiation performance parameters of radio frequency communication equipment, including obtaining an expected transmission distance of a signal sent by the radio frequency communication equipment, a bad weather length of a transmission path, and a thickness of obstacles in the transmission path, and generating a transmission condition loss value; obtaining a moving speed, LO phase noise, and a sampling jitter offset value of a receiving point of the radio frequency communication equipment, and generating a receiving condition deviation value; generating a radiation performance parameter prediction value of the radio frequency communication equipment according to the receiving condition deviation value and the transmission condition loss value; the present invention can predict the radiation performance parameters of the radio frequency communication equipment by analyzing the loss of the transmission path when the radio frequency communication equipment sends a signal and the loss caused by the receiving conditions of the receiving point of the radio frequency communication equipment, so that the prediction of the radiation performance parameters of the radio frequency communication equipment is more accurate, and the accuracy of the prediction of the radiation performance parameters of the radio frequency communication equipment is improved.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a method for predicting radiation performance parameters of radio frequency communication equipment. Background Art

[0002] In the field of wireless communications, the radiation performance parameters of RF communication equipment have an important impact on its communication quality and network coverage. The radiation performance of RF communication equipment is usually determined by multiple factors such as the equipment's transmit power, receive sensitivity, and channel loss.

[0003] Currently, evaluation of radiated performance often relies on complex laboratory measurements or by directly testing the output performance of the device.

[0004] The method of measuring the output performance of the equipment through complex laboratory measurements or directly testing it is not only time-consuming and labor-intensive, but also has certain problems with the accuracy of the test results due to changes in environmental factors. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a method for predicting radiation performance parameters of a radio frequency communication device, aiming to solve the problems existing in the above-mentioned background technology.

[0006] The embodiment of the present invention is implemented as follows: a method for predicting radiation performance parameters of a radio frequency communication device comprises the following steps:

[0007] Acquire transmission condition data of the signal sent by the radio frequency communication device and generate a transmission condition loss value; wherein the transmission condition data includes the expected transmission distance, the length of the bad weather of the transmission path and the thickness of the obstacles in the transmission path; the obstacles refer to objects that are high enough to affect signal transmission;

[0008] Acquire receiving condition data of a receiving point of a radio frequency communication device and generate a receiving condition deviation value; wherein the receiving condition data includes a moving speed, LO phase noise and a sampling jitter offset value of the receiving point of the radio frequency communication device;

[0009] Generate a radiation performance parameter prediction value of the radio frequency communication equipment according to the receiving condition deviation value and the transmission condition loss value;

[0010] The method for generating the transmission condition loss value comprises the following steps:

[0011] Generate a theoretical free space loss factor based on the expected transmission distance;

[0012] Generate a rainfall weather factor according to the length of rainfall weather in the transmission path of the signal sent by the radio frequency communication device;

[0013] Generate obstacle thickness factor according to obstacle thickness;

[0014] A transmission condition loss assessment model is established, and the free space theoretical loss factor, rainfall weather factor and obstacle thickness factor are substituted into the transmission condition loss assessment model to generate the transmission condition loss value.

[0015] As a preferred embodiment of the present invention, the method for generating the free space theoretical loss factor specifically includes:

[0016] Substitute the expected transmission distance into the free space loss model to generate the theoretical radiation performance parameter attenuation dB of the RF communication equipment;

[0017] The free space loss model is expressed as: ;

[0018] In the expression, f represents the signal frequency and d represents the propagation distance;

[0019] The theoretical radiation performance parameter attenuation dB is divided by the standard radiation performance parameter to obtain the quotient to generate the free space theoretical loss factor; the standard radiation performance parameter refers to the initial radiation performance parameter of the RF communication equipment.

[0020] As a preferred embodiment of the present invention, the generation method of the rainfall weather factor specifically includes:

[0021] The length of the rainy weather in the transmission path of the signal sent by the radio frequency communication device is divided by the total length of the propagation path to obtain the quotient, so as to generate the proportion of the rainy weather in the propagation path;

[0022] By formula , generate rainfall weather factor Q;

[0023] In the formula, R represents the proportion of rainfall weather, and P represents the intensity factor of rainfall weather;

[0024] Among them, the intensity factor P of rainfall weather is obtained as follows:

[0025] Obtaining the intensity value of rainfall weather in the transmission path of the signal sent by the radio frequency communication device; the intensity value refers to the rainfall amount;

[0026] The intensity value is divided by the standard intensity value to obtain the quotient, and the intensity factor P of the rainy weather is generated; the standard intensity value refers to the intensity of the maximum rainy weather that does not affect signal propagation.

[0027] As a preferred embodiment of the present invention, the generation method of the obstacle thickness factor specifically includes:

[0028] Subtract the thickness of the obstacle from the standard thickness value corresponding to the penetration strength of the signal sent by the radio frequency communication device to generate a thickness difference;

[0029] Divide the thickness difference by the standard thickness value to obtain the quotient, and generate the thickness difference degree value;

[0030] By formula , generate obstacle thickness factor H;

[0031] In the formula, Y represents the thickness difference, and γ represents the absorption coefficient of the obstacle material to the signal.

[0032] As a preferred embodiment of the present invention, the method for generating the transmission condition loss value specifically includes:

[0033] Establish a transmission condition loss assessment model, substitute the free space theoretical loss factor, rain weather factor Q and obstacle thickness factor H into the transmission condition loss assessment model, and generate the transmission condition loss value ;

[0034] Among them, the expression of the transmission condition loss evaluation model is: ;

[0035] In the expression, K represents the theoretical loss factor of free space, and G0 represents the theoretical radiation performance parameter of the initial RF communication equipment.

[0036] As a preferred embodiment of the present invention, the acquiring of receiving condition data of a receiving point of a radio frequency communication device and generating a receiving condition deviation value specifically includes:

[0037] Generate a moving speed factor of the receiving point of the radio frequency communication device according to the moving speed of the receiving point of the radio frequency communication device;

[0038] generating an LO phase noise factor based on the LO phase noise;

[0039] Generate a sampling jitter factor according to the sampling jitter offset value;

[0040] Establish a receiving condition deviation evaluation model, substitute the moving speed factor, LO phase noise factor and sampling jitter factor of the receiving point of the RF communication equipment into the receiving condition deviation evaluation model, and generate the receiving condition deviation value ;

[0041] Among them, the expression of the receiving condition deviation evaluation model is: ;

[0042] In the expression, S represents the moving speed factor of the receiving point of the RF communication equipment, LO represents the LO phase noise factor, and D represents the sampling jitter factor.

[0043] As a preferred embodiment of the present invention, the moving speed factor is generated in the following manner:

[0044] The moving speed of the receiving point of the radio frequency communication device is subtracted from the moving speed threshold to generate a speed difference; the moving speed threshold refers to the maximum moving speed that the receiving point of the radio frequency communication device can have without affecting the reception quality;

[0045] The speed difference is divided by the moving speed threshold to obtain a quotient, and a moving speed factor of the receiving point of the radio frequency communication device is generated.

[0046] As a preferred embodiment of the present invention, the LO phase noise factor is generated in the following manner:

[0047] Subtracting the LO phase noise from the LO phase noise threshold to generate an LO phase noise difference;

[0048] The LO phase noise factor is generated by dividing the LO phase noise difference by the LO phase noise threshold.

[0049] As a preferred embodiment of the present invention, the sampling jitter factor is generated in the following manner:

[0050] The sampling jitter offset value is subtracted from the sampling jitter offset peak value to generate an offset difference value; the sampling jitter offset value refers to the phenomenon that the position of the sampling point is offset due to the instability or change of the sampling clock during the signal sampling process;

[0051] The sampling jitter factor is generated by dividing the offset difference and the sampling jitter offset peak value; the sampling jitter offset peak value refers to the maximum value of the sampling jitter error range.

[0052] As a preferred embodiment of the present invention, the radiation performance parameter prediction value of the radio frequency communication device is generated in the following manner:

[0053] Establish a radiation performance parameter prediction model for RF communication equipment and set the receiving condition deviation value and transmission condition loss value Substitute it into the radiation performance parameter prediction model of the radio frequency communication equipment to generate the radiation performance parameter prediction value G3 of the radio frequency communication equipment;

[0054] Among them, the expression of the radiation performance parameter prediction model of the radio frequency communication equipment is: .

[0055] A method for predicting radiation performance parameters of a radio frequency communication device provided by the present invention can predict the radiation performance parameters of the radio frequency communication device by analyzing the loss of the transmission path when the radio frequency communication device sends a signal and the loss caused by the receiving conditions of the receiving point of the radio frequency communication device, thereby making the prediction of the radiation performance parameters of the radio frequency communication device more accurate and improving the accuracy of the prediction of the radiation performance parameters of the radio frequency communication device. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 A flowchart of a method for predicting radiation performance parameters of a radio frequency communication device provided by an embodiment of the present invention;

[0057] Figure 2 A flowchart of step S10 provided in an embodiment of the present invention;

[0058] Figure 3 This is a flowchart of step S20 provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0060] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0061] like Figure 1 As shown, an embodiment of the present invention provides a method for predicting radiation performance parameters of a radio frequency communication device, which may include steps S10 to S30:

[0062] Step S10: Acquire the transmission path data of the signal sent by the radio frequency communication device and generate a transmission condition loss value; wherein the transmission condition data includes the expected transmission distance, the length of the transmission path in bad weather, and the thickness of the obstacles in the transmission path; the obstacles refer to objects whose height affects the signal transmission;

[0063] Step S20: Acquire receiving condition data of a receiving point of the radio frequency communication device and generate a receiving condition deviation value; wherein the receiving condition data includes a moving speed, LO phase noise and a sampling jitter offset value of the receiving point of the radio frequency communication device;

[0064] Step S30: Generate a radiation performance parameter prediction value of the radio frequency communication device according to the reception condition deviation value and the transmission condition loss value.

[0065] like Figure 2 As shown, preferably, the step S10 specifically includes:

[0066] S11: Generate a free space theoretical loss factor based on the expected transmission distance;

[0067] S12: generating a rainfall weather factor Q according to the length of rainfall weather in the transmission path of the signal sent by the radio frequency communication device;

[0068] S13: Generate an obstacle thickness factor according to the obstacle thickness;

[0069] S14: Establish a transmission condition loss assessment model, substitute the free space theoretical loss factor, the rainfall weather factor and the obstacle thickness factor into the transmission condition loss assessment model, and generate a transmission condition loss value.

[0070] Preferably, the S11 specifically includes:

[0071] Substitute the expected transmission distance into the free space loss model to generate the theoretical radiation performance parameter attenuation dB of the RF communication equipment;

[0072] The free space loss model is expressed as: ;

[0073] In the expression, f represents the signal frequency and d represents the propagation distance;

[0074] The theoretical radiation performance parameter attenuation dB is divided by the standard radiation performance parameter to obtain the quotient to generate the free space theoretical loss factor; the standard radiation performance parameter refers to the initial radiation performance parameter of the RF communication equipment.

[0075] Preferably, the S12 specifically includes:

[0076] The length of the rainy weather in the transmission path of the signal sent by the radio frequency communication device is divided by the total length of the propagation path to obtain the quotient, so as to generate the proportion of the rainy weather in the propagation path;

[0077] By formula , generate rainfall weather factor Q;

[0078] In the formula, R represents the proportion of rainfall weather, and P represents the intensity factor of rainfall weather;

[0079] Among them, the intensity factor P of rainfall weather is obtained as follows:

[0080] Obtaining the intensity value of rainfall weather in the transmission path of the signal sent by the radio frequency communication device; the intensity value refers to the rainfall amount;

[0081] The intensity value is divided by the standard intensity value to obtain the quotient, and the intensity factor P of the rainy weather is generated; the standard intensity value refers to the intensity of the maximum rainy weather that does not affect the signal propagation;

[0082] It should be explained that the standard strength value is set by relevant personnel in this field according to the frequency of the signal sent by the radio frequency communication device;

[0083] Preferably, the S13 specifically includes:

[0084] Subtract the thickness of the obstacle from the standard thickness value corresponding to the penetration strength of the signal sent by the radio frequency communication device to generate a thickness difference;

[0085] Divide the thickness difference by the standard thickness value to obtain the quotient, and generate the thickness difference degree value;

[0086] By formula , generate obstacle thickness factor H;

[0087] In the formula, Y represents the thickness difference, and γ represents the absorption coefficient of the obstacle material to the signal.

[0088] Preferably, the S14 specifically includes:

[0089] Establish a transmission condition loss assessment model, substitute the free space theoretical loss factor, rain weather factor Q and obstacle thickness factor H into the transmission condition loss assessment model, and generate the transmission condition loss value ;

[0090] Among them, the expression of the transmission condition loss evaluation model is: ;

[0091] In the expression, K represents the theoretical loss factor of free space, and G0 represents the theoretical radiation performance parameter of the initial RF communication equipment.

[0092] like Figure 3 As shown, the step S20 specifically includes:

[0093] Step S21: generating a moving speed factor of the receiving point of the radio frequency communication device according to the moving speed of the receiving point of the radio frequency communication device;

[0094] Step S22: generating an LO phase noise factor according to the LO phase noise;

[0095] Step S23: generating a sampling jitter factor according to the sampling jitter offset value;

[0096] Step S24: Establish a receiving condition deviation evaluation model, substitute the moving speed factor, LO phase noise factor and sampling jitter factor of the receiving point of the radio frequency communication device into the receiving condition deviation evaluation model, and generate a receiving condition deviation value.

[0097] Preferably, the S21 specifically includes:

[0098] The moving speed of the receiving point of the radio frequency communication device is subtracted from the moving speed threshold to generate a speed difference; the moving speed threshold refers to the maximum moving speed that the receiving point of the radio frequency communication device can have without affecting the reception quality;

[0099] The speed difference is divided by the moving speed threshold to obtain a quotient, and a moving speed factor of the receiving point of the radio frequency communication device is generated;

[0100] Preferably, the S22 specifically includes:

[0101] Subtracting the LO phase noise from the LO phase noise threshold to generate an LO phase noise difference;

[0102] The LO phase noise difference is divided by the LO phase noise threshold to obtain a quotient to generate an LO phase noise factor;

[0103] It should be explained that phase noise is the noise generated when the signal reaches the receiving end of the system due to unexpected advance or lag. The method of obtaining the phase noise is to use a spectrum analyzer to directly measure the signal power of the center carrier and the noise power at a certain frequency offset, and calculate the phase noise value. This technology is an existing technology and will not be described here.

[0104] Preferably, the S23 specifically includes:

[0105] Subtract the sampling jitter offset value from the sampling jitter offset peak value to obtain a difference, thereby generating an offset difference value;

[0106] The sampling jitter factor is generated by dividing the offset difference with the sampling jitter offset peak value; the sampling jitter offset peak value refers to the maximum value of the sampling jitter error range;

[0107] It should be noted that the sampling jitter offset value refers to the phenomenon that the position of the sampling point is offset due to the instability or change of the sampling clock during the signal sampling process. The acquisition method is: measuring the clock jitter by directly measuring the size of each clock cycle;

[0108] Preferably, the S24 specifically includes:

[0109] Establish a receiving condition deviation evaluation model, substitute the moving speed factor, LO phase noise factor and sampling jitter factor of the receiving point of the RF communication equipment into the receiving condition deviation evaluation model, and generate the receiving condition deviation value ;

[0110] Among them, the expression of the receiving condition deviation evaluation model is: ;

[0111] In the expression, S represents the moving speed factor of the receiving point of the RF communication equipment, LO represents the LO phase noise factor, and D represents the sampling jitter factor;

[0112] The step S30 specifically includes:

[0113] Establish a radiation performance parameter prediction model for RF communication equipment and set the receiving condition deviation value and transmission condition loss value Substitute it into the radiation performance parameter prediction model of the radio frequency communication equipment to generate the radiation performance parameter prediction value G3 of the radio frequency communication equipment;

[0114] Among them, the expression of the radiation performance parameter prediction model of the radio frequency communication equipment is: .

[0115] A method for predicting radiation performance parameters of a radio frequency communication device provided by the present invention can predict the radiation performance parameters of the radio frequency communication device by analyzing the loss of the transmission path when the radio frequency communication device sends a signal and the loss caused by the receiving conditions of the receiving point of the radio frequency communication device, thereby making the prediction of the radiation performance parameters of the radio frequency communication device more accurate and improving the accuracy of the prediction of the radiation performance parameters of the radio frequency communication device.

[0116] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for predicting radiation performance parameters of a radio frequency communication device, characterized in that: The following steps are involved: Acquire transmission condition data of the signal sent by the radio frequency communication device and generate a transmission condition loss value; wherein the transmission condition data includes the expected transmission distance, the length of the bad weather of the transmission path and the thickness of the obstacles in the transmission path; the obstacles refer to objects that are high enough to affect signal transmission; Acquire receiving condition data of a receiving point of a radio frequency communication device and generate a receiving condition deviation value; wherein the receiving condition data includes a moving speed, LO phase noise and a sampling jitter offset value of the receiving point of the radio frequency communication device; A radiation performance parameter prediction model of the radio frequency communication equipment is established, and the reception condition deviation value ΔG2 and the transmission condition loss value ΔG1 are substituted into the radiation performance parameter prediction model of the radio frequency communication equipment to generate a radiation performance parameter prediction value G3 of the radio frequency communication equipment; wherein, the expression of the radiation performance parameter prediction model of the radio frequency communication equipment is: ; In the expression, G0 represents the theoretical radiation performance parameters of the initial RF communication equipment; The method for generating the transmission condition loss value comprises the following steps: Generate a theoretical free space loss factor based on the expected transmission distance; Generate a rainfall weather factor according to the length of rainfall weather in the transmission path of the signal sent by the radio frequency communication device; Generate obstacle thickness factor according to obstacle thickness; A transmission condition loss assessment model is established, and the free space theoretical loss factor, rainfall weather factor and obstacle thickness factor are substituted into the transmission condition loss assessment model to generate the transmission condition loss value.

2. A method for predicting radiation performance parameters of a radio frequency communication device according to claim 1, characterized in that: The method for generating the free space theoretical loss factor specifically includes: Substitute the expected transmission distance into the free space loss model to generate the theoretical radiation performance parameter attenuation dB of the RF communication equipment; The free space loss model is expressed as: ; In the expression, f represents the signal frequency and d represents the propagation distance; The theoretical radiation performance parameter attenuation dB is divided by the standard radiation performance parameter to obtain the quotient to generate the free space theoretical loss factor; the standard radiation performance parameter refers to the initial radiation performance parameter of the RF communication equipment.

3. The method for predicting radiation performance parameters of a radio frequency communication device according to claim 1, characterized in that: The generation method of the rainfall weather factor specifically includes: The length of the rainy weather in the transmission path of the signal sent by the radio frequency communication device is divided by the total length of the propagation path to obtain the proportion of rainy weather in the propagation path; the formula , generate rainfall weather factor Q; In the formula, R represents the proportion of rainfall weather, and P represents the intensity factor of rainfall weather; Among them, the intensity factor P of rainfall weather is obtained as follows: Obtaining the intensity value of rainfall weather in the transmission path of the signal sent by the radio frequency communication device; the intensity value refers to the rainfall amount; The intensity value is divided by the standard intensity value to obtain the quotient, and the intensity factor P of the rainy weather is generated; the standard intensity value refers to the intensity of the maximum rainy weather that does not affect signal propagation.

4. The method for predicting radiation performance parameters of a radio frequency communication device according to claim 1, characterized in that: The generation method of the obstacle thickness factor specifically includes: Subtract the thickness of the obstacle from the standard thickness value corresponding to the penetration strength of the signal sent by the radio frequency communication device to generate a thickness difference; Divide the thickness difference by the standard thickness value to obtain the quotient, and generate the thickness difference degree value; By formula , generate obstacle thickness factor H; In the formula, Y represents the thickness difference, and γ represents the absorption coefficient of the obstacle material to the signal.

5. The method for predicting radiation performance parameters of a radio frequency communication device according to claim 1, characterized in that: The method for generating the transmission condition loss value specifically includes: Establish a transmission condition loss assessment model, substitute the free space theoretical loss factor, rain weather factor Q and obstacle thickness factor H into the transmission condition loss assessment model, and generate the transmission condition loss value ; Among them, the expression of the transmission condition loss evaluation model is: ; In the expression, K represents the theoretical loss factor of free space, and G0 represents the theoretical radiation performance parameter of the initial RF communication equipment.

6. The method for predicting radiation performance parameters of a radio frequency communication device according to claim 1, characterized in that: The obtaining of receiving condition data of a receiving point of a radio frequency communication device and generating a receiving condition deviation value specifically includes: Generate a moving speed factor of the receiving point of the radio frequency communication device according to the moving speed of the receiving point of the radio frequency communication device; generating an LO phase noise factor based on the LO phase noise; Generate a sampling jitter factor according to the sampling jitter offset value; Establish a receiving condition deviation evaluation model, substitute the moving speed factor, LO phase noise factor and sampling jitter factor of the receiving point of the RF communication equipment into the receiving condition deviation evaluation model, and generate the receiving condition deviation value ; Among them, the expression of the receiving condition deviation evaluation model is: ; In the expression, S represents the moving speed factor of the receiving point of the RF communication equipment, LO represents the LO phase noise factor, and D represents the sampling jitter factor.

7. A method for predicting radiation performance parameters of a radio frequency communication device according to claim 6, characterized in that: The moving speed factor is generated as follows: Subtract the moving speed of the receiving point of the radio frequency communication device from the moving speed threshold to obtain the difference, thereby generating a speed difference; The moving speed threshold refers to the maximum moving speed that can occur at the receiving point of the radio frequency communication device without affecting the reception quality; The speed difference is divided by the moving speed threshold to obtain a quotient, and a moving speed factor of the receiving point of the radio frequency communication device is generated.

8. The method for predicting radiation performance parameters of a radio frequency communication device according to claim 6, characterized in that: The LO phase noise factor is generated as follows: Subtracting the LO phase noise from the LO phase noise threshold to generate an LO phase noise difference; The LO phase noise factor is generated by dividing the LO phase noise difference by the LO phase noise threshold.

9. The method for predicting radiation performance parameters of a radio frequency communication device according to claim 6, characterized in that: The sampling jitter factor is generated as follows: The sampling jitter offset value is subtracted from the sampling jitter offset peak value to generate an offset difference value; the sampling jitter offset value refers to the phenomenon that the position of the sampling point is offset due to the instability or change of the sampling clock during the signal sampling process; The offset difference is divided by the sampling jitter offset peak value to obtain the quotient, thereby generating a sampling jitter factor; The sampling jitter deviation peak refers to the maximum value of the sampling jitter error range.

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