Unmanned aerial vehicle interference effect evaluation method based on flight parameter calculation

Abstract

The invention provides an unmanned aerial vehicle interference effect evaluation method based on flight parameter calculation, and belongs to the technical field of electronic countermeasures. The method comprises the steps of calculating a kinetic energy and potential energy gradient ratio before and after the unmanned aerial vehicle is disturbed; calculating a speed variance ratio before and after the unmanned aerial vehicle is disturbed; and completing prediction of the interference effect of the unmanned aerial vehicle by using the first two items of data. By calculating the kinetic energy and potential energy gradient ratio and the speed variance ratio, the problem that an existing method cannot effectively evaluate the interference effect of the unmanned aerial vehicle is solved, and online interference effect evaluation can be carried out. The method is simple in algorithm, small in calculation amount and small in engineering implementation difficulty.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of unmanned aerial vehicle monitoring, and particularly relates to a method for evaluating the effect of an unmanned aerial vehicle after being disturbed based on flight parameter calculation. BACKGROUND

[0002] The effect evaluation of an unmanned aerial vehicle after being disturbed is an important technology in the field of unmanned aerial vehicle monitoring, and is urgently needed in various scenarios. As a monitoring party, when monitoring the behavior of an unmanned aerial vehicle, it is necessary to evaluate the disturbance effect of whether the current unmanned aerial vehicle is disturbed by strong interference, and to determine the flight state of the unmanned aerial vehicle in the current electromagnetic environment.

[0003] At present, there is little research on the disturbance effect evaluation of an unmanned aerial vehicle, especially when a third party monitors, and the flight parameters cannot be effectively obtained. In order to effectively evaluate the flight state of an unmanned aerial vehicle, it is necessary to analyze the broadcast link of the unmanned aerial vehicle, and use the speed parameters and position parameters obtained by the analysis to evaluate the disturbance effect of the flight state of the unmanned aerial vehicle. However, there is no related technical solution in the prior art. SUMMARY

[0004] The purpose of the present application is to overcome the above-mentioned blank in the prior art, and to provide a method for evaluating the disturbance effect of an unmanned aerial vehicle based on flight parameter calculation. The present application analyzes the flight parameters of an unmanned aerial vehicle from the broadcast link signal transmitted by the unmanned aerial vehicle, and performs parameter operation using the speed parameters and position parameters obtained by the analysis, so as to accurately evaluate the disturbance effect of the unmanned aerial vehicle.

[0005] To achieve the above-mentioned purpose, the technical solution adopted by the present application is as follows:

[0006] A method for evaluating the disturbance effect of an unmanned aerial vehicle based on flight parameter calculation, comprising the following steps:

[0007] (1) calculating the kinetic potential energy gradient ratio of the unmanned aerial vehicle before and after being disturbed;

[0008] (2) calculating the speed variance ratio of the unmanned aerial vehicle before and after being disturbed;

[0009] (3) judging the disturbance effect of the unmanned aerial vehicle according to the kinetic potential energy gradient ratio and the speed variance ratio.

[0010] Further, the specific way of step (1) is as follows:

[0011] (1a) calculating the kinetic potential energy ratio of the unmanned aerial vehicle before being disturbed :

[0012] ,

[0013] wherein, is the flight speed of the unmanned aerial vehicle, and the unit is m / s; ; is the mass of the UAV, unit is kg ; is the acceleration of gravity, unit is m / s2 ; is the height, unit is m ;

[0014] (1b) Calculate the disturbed kinetic potential energy ratio of the UAV :

[0015] ,

[0016] (1c) Calculate the kinetic potential energy gradient ratio :

[0017] .

[0018] Further, the specific way of step (2) is:

[0019] (2a) Calculate the speed variance in normal flight :

[0020] ,

[0021] wherein, is the number of speed values obtained in normal flight, represents the mean of the flight speed, is the i-th speed value; (2b) Calculate the speed variance in disturbed flight

[0022] :

[0023]

[0024] wherein, is the number of speed values obtained in disturbed flight, represents the mean of the flight speed, is the j-th speed value; (2c) Calculate the variance ratio of the UAV before and after disturbance

[0025] :

[0026] .

[0027] Further, the specific way of step (3) is:

[0028] (3a) If is satisfied, it is judged that the interference effect is effective;

[0029] (3b) If​​ , then the interference effect is partially valid;

[0030] (3c) if or , then the interference effect is invalid;

[0031] wherein represents and, represents or, represents exclusive or.

[0032] Compared with the prior art, the present application has the following advantages:

[0033] 1. The present application calculates the kinetic potential energy gradient ratio and the speed variance ratio, solving the problem that the existing method cannot effectively evaluate the interference effect of the unmanned aerial vehicle.

[0034] 2. The algorithm of the present application is simple, the calculation amount is small, and the engineering implementation difficulty is small. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 is a flowchart of the present application. DETAILED DESCRIPTION

[0036] The present application will be further described in detail below in combination with the drawings and specific embodiments.

[0037] A method for evaluating the interference effect of an unmanned aerial vehicle based on flight parameter calculation, referring to Figure 1 , comprising the following steps:

[0038] Step 1) Calculate the kinetic potential energy gradient ratio of the unmanned aerial vehicle before and after being disturbed:

[0039] Step 1a) Calculate the kinetic potential energy ratio of the unmanned aerial vehicle before being disturbed:

[0040] ,

[0041] wherein the flight speed of the unmanned aerial vehicle , unit , the mass of the unmanned aerial vehicle , unit , is 9.8, unit is , height , unit is ;

[0042] (1b) Calculate the kinetic potential energy ratio of the unmanned aerial vehicle after being disturbed:

[0043] ,

[0044] (1c) Calculate the kinetic potential energy gradient ratio:

[0045] .

[0046] Step 2) Calculate the speed variance ratio of the UAV before and after being disturbed:

[0047] Step 2a) Calculate the speed variance when flying normally:

[0048]

[0049] wherein, is the number of speed values obtained when flying normally, represents the mean of the flight speed, is the i-th speed value; Step 2b) Calculate the speed variance when flying after being disturbed:

[0050]

[0051] wherein,

[0052] is the number of speed values obtained when flying after being disturbed, represents the mean of the flight speed, is the j-th speed value; Step 2c) Calculate the variance ratio of the UAV before and after being disturbed:

[0053] Step 3) UAV disturbance effect judgment:

[0054] Step 3a) If conditions 1 and 2 are both met, the interference effect is effective:

[0055] (Condition 1) or

[0056] , (Condition 2) or

[0057] ; Step 3b) If only one of conditions 3 and 4 is met, the interference effect is partially effective:

[0058] (Condition 3) or

[0059] , (Condition 4) or

[0060] ; Step 3c) If or

[0061] , the interference effect is invalid. ​​​

[0062] The application calculates the UAV interference effect by using the flight parameters obtained by the UAV broadcast link interpretation, and can perform online interference effect evaluation. The application solves the problem that the existing method cannot effectively evaluate the UAV interference effect by calculating the kinetic potential energy gradient ratio and the speed variance ratio, and the algorithm is simple, the calculation amount is small, and the engineering implementation difficulty is small.

[0063] Those skilled in the art will appreciate that the embodiments described herein are presented for the purpose of aiding the reader in understanding the principles of the application and should be construed as not limiting the scope of protection of the application to such specific recitations and embodiments. Those skilled in the art can make various other specific modifications and combinations according to the technical inspiration disclosed in the application without departing from the essence of the application, and these modifications and combinations are still within the scope of protection of the application.

Claims

1. A method for evaluating jamming effect of a UAV based on flight parameter calculation, characterized in that, The method comprises the following steps: (1) calculating the kinetic potential energy gradient ratio before and after the UAV is disturbed; (2) calculating the speed variance ratio before and after the UAV is disturbed; (3) judging the disturbance effect of the UAV according to the kinetic potential energy gradient ratio and the speed variance ratio.

2. The method for evaluating the interference effect of unmanned aerial vehicles (UAVs) based on flight parameter calculation according to claim 1, characterized in that, The specific manner of step (1) is: (1a) calculating the kinetic potential energy ratio of the drone before being disturbed : ， wherein, is the flight speed of the UAV, in units of ; is the mass of the UAV, in units of ; is the acceleration due to gravity, in units of ; is the altitude, in units of ; (1b) calculating a disturbed kinetic potential energy ratio of the drone : ， (1c) calculating the kinetic potential energy gradient ratio : 。 3. The method for evaluating the interference effect of unmanned aerial vehicles (UAVs) based on flight parameter calculation according to claim 2, characterized in that, The specific manner of step (2) is: (2a) Calculate the speed variance at normal flight : ， wherein, the number of speed values obtained during normal flight, represents the mean value of the flight speeds, is the i-th speed value; (2b) Calculate post-disturbance flight time speed variance : wherein, is the number of speed values acquired during the disturbed post-flight, represents the mean value of the flight speeds, is the jth speed value; (2c) calculating the variance ratio of the drone before and after being disturbed : 。 4. The method for evaluating the interference effect of a UAV based on flight parameter calculation according to claim 3, characterized in that, The specific manner of step (3) is: (3a) if then the interference effect is judged to be valid; (3b) if then the interference effect is judged to be partially effective; (3c) if or then the interference effect is nullified; wherein, represents and, represents or, represents exclusive or.

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