Intelligent scattered wave deception jamming method for three-channel SAR-GMTI

Abstract

The invention provides an intelligent scattered wave deception jamming method for three-channel SAR-GMTI, and belongs to the technical field of radar jamming and artificial intelligence. The method comprises the following steps: firstly, acquiring interference scene parameters from intelligence support and electronic reconnaissance equipment; then, interference parameters are calculated based on the scene parameters, a distance-direction imaging position error objective function, an azimuth-direction imaging position error objective function and a Doppler slope error objective function are designed, a synthetic objective function is constructed, and an iterative optimization method is designed to solve the interference parameters including the carrier speed of interference equipment and the irradiation position of interference beams; and finally, adjusting the speed of an interference equipment aerial carrier and the irradiation position of an interference beam, and intercepting and forwarding a radar signal. According to the invention, by dynamically adjusting the motion trail of the interference airborne machine and the irradiation position of the interference beam, a vivid false motion target can be generated, the interference precision and efficiency are effectively improved, and the defects of slow speed and low precision of a traditional scattered wave deception interference method are overcome.

Description

Technical Field

[0001] The invention belongs to the field of radar jamming technology and artificial intelligence technology, in particular to an intelligent scattered wave deception jamming method for three-channel SAR-GMTI (synthetic aperture radar-ground moving target indication). Background Art

[0002] With the rapid development of radar technology, synthetic aperture radar (SAR) and ground moving target indication (GMTI) technology have been widely used in military reconnaissance, target tracking and intelligence acquisition. However, facing the powerful detection capability of SAR-GMTI system, traditional jamming methods have gradually become ineffective. Especially in the three-channel SAR-GMTI system, ground moving targets can be effectively identified and tracked through multi-channel data fusion and moving target detection. Therefore, the development of an efficient and intelligent scattered wave deception jamming method has become a current research hotspot.

[0003] In the patent "A dual jammer cooperative jamming method for SAR-GMTI system" applied by Xi'an Shengxin Technology Co., Ltd., with authorization announcement number CN116908792B, the method can destroy the radar detection process, but it cannot form a realistic false moving target.

[0004] In the "False Moving Target Generation Method Based on Coherent Two-Point Sources" published by Ji Penghui et al. in the Journal of Electronics and Information Technology and the "A novel deceptive jamming method against two-channel SAR-GMTI based on two jammers" published by SUN Qingyang et al. in the IEEE Sensors Journal, the method of multiple jammers coordination was used to generate deceptive jamming and form false moving targets. However, multiple jammers require high-precision synchronization to cause phase interference of false targets in the detection results, thereby deceiving radar detection.

[0005] Dong Chunxi et al. published a paper titled "A novel scattered wave deception jamming against three channel SAR GMTI" in IEEE ACCESS, which proposed an improved scattered wave deception jamming method, making scattered wave jamming no longer limited to noise suppression effect. However, in this method, it is necessary to determine the possible range of jamming parameters by integrating radar countermeasure domain knowledge, and then traverse the possible values ​​to obtain the values ​​of jamming parameters, resulting in a long calculation time. In addition, due to the influence of the resolution of the alternative solution value, the gap between the false moving target and the real moving target is large. Summary of the invention

[0006] In view of this, the present invention proposes an intelligent scattered wave deception jamming method for three-channel SAR-GMTI. The present invention can generate realistic false moving targets by real-time adjustment of the jamming aircraft motion trajectory and the jamming beam irradiation position, thereby effectively improving the accuracy and efficiency of the jamming, and overcoming the shortcomings of the traditional scattered wave deception jamming method, which is slow and inaccurate.

[0007] The technical solution adopted by the present invention is:

[0008] An intelligent scattered wave deception jamming method for three-channel SAR-GMTI includes the following steps:

[0009] Step 1: Obtain jamming scenario parameters from intelligence support and electronic reconnaissance equipment;

[0010] Step 2: Calculate the interference parameters based on the interference scenario parameters, and adjust the speed of the interference equipment carrier and the position of the interference beam according to the interference parameters;

[0011] Step 3: Intercept and forward radar signals to form a false moving target.

[0012] Furthermore, the specific method of step 1 is:

[0013] The jammer sends a jammer scenario parameter acquisition request through wireless communication, and the intelligence support and electronic reconnaissance equipment returns the jammer scenario parameters, including the three-channel SAR-GMTI system carrier aircraft speed v and height H, and the jammer carrier aircraft azimuth position , distance to position and height h, the azimuth velocity of the target to be simulated , distance to speed , azimuth position and distance to position .

[0014] Furthermore, the specific method of step 2 is:

[0015] Step 2-1: Initialize the jamming parameters, which include the azimuth and velocity of the jamming device carrier. and distance to speed , and the azimuth position of the interference beam Distance to position ;

[0016] Step 2-2: Direct the interference beam to the position Set to the azimuth position of the target to be simulated ;

[0017] Step 2-3: Construct the range imaging position error objective function:

[0018] ;

[0019] Step 2-4: Interval Traversing the range , obtain the interference beam irradiation distance position that minimizes the distance imaging position error objective function , is the minimum distance position, is the maximum distance position;

[0020] Step 2-5: Construct the azimuth imaging position error objective function:

[0021] ;

[0022] Step 2-6: Construct the Doppler slope error objective function:

[0023] ;

[0024] Step 2-7: Combine the azimuth imaging position error objective function and the Doppler slope error objective function to obtain a composite objective function:

[0025] ;

[0026] Step 2-8: Randomly generate N alternative solutions , n=1,2,...,N, alternative solution The dimension is 3, and the three dimensions correspond to the azimuth and speed of the jammer carrier respectively. , distance to speed And the interference beam irradiation distance to the position ;

[0027] Randomly generate the movement speed of each alternative solution , The dimension is 2, and the two dimensions correspond to the azimuth and velocity of the jammer carrier respectively. and distance to speed ;

[0028] Set the iteration variable t, and change the iteration variable t and the interference beam irradiation distance to the position All are initialized to 0;

[0029] Step 2-9: For each alternative solution Substitute them into the synthetic objective function respectively, calculate the corresponding fitness value, and set the individual optimal solution corresponding to each alternative solution as ,initialization , set the alternative solution with the smallest fitness value as the group optimal solution ;

[0030] Step 2-10: Update the moving speed of each alternative solution:

[0031] ,

[0032] in, is the minimum inertia weight, is the maximum inertia weight, and is the learning factor, and is a random number in the range [0, 1], and T is the maximum number of iterations;

[0033] Update the value of each candidate solution:

[0034] ;

[0035] Step 2-11: Traverse all alternative solutions, if , then update ,if , then update ;Increase the iteration variable t by 1;

[0036] Step 2-12: Repeat steps 2-10 and 2-11 until the iteration variable t reaches T; The values ​​in are assigned to the azimuth speed of the jammer aircraft. and distance to speed .

[0037] The beneficial effects of the present invention are:

[0038] 1. Higher optimization efficiency. Compared with the traversal method, the iterative optimization algorithm adopted by the present invention has a faster convergence speed. When dealing with multi-dimensional optimization problems, it can quickly find the optimal solution, greatly shorten the calculation time of the interference solution, and improve the response speed of the system.

[0039] 2. Higher jamming accuracy. The global search capability provided by the iterative optimization of the present invention can generate more realistic false targets, making them more difficult to distinguish from real targets in radar imaging, thereby improving the effectiveness and deceptiveness of the jamming.

[0040] 3. Strong real-time performance. The present invention has a fast parameter solving speed and can quickly adjust the interference strategy in a dynamically changing environment, thus meeting high real-time requirements and improving the flexibility and adaptability of the interference system. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a flow chart of an intelligent scattered wave deception jamming method for three-channel SAR-GMTI.

[0042] Figure 2Schematic diagram of the relationship between the composite objective function value and the number of iterations corresponding to the group optimal solution.

[0043] Figure 3 Schematic diagram of the interference scenario.

[0044] Figure 4 Schematic diagram of the detection results of the target to be simulated.

[0045] Figure 5 Schematic diagram of false moving target detection results. DETAILED DESCRIPTION

[0046] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0047] An intelligent scattered wave deception jamming method for three-channel SAR-GMTI is proposed. First, the range imaging position error objective function, azimuth imaging position error objective function and Doppler slope error objective function are designed to construct a synthetic objective function. Then, the key jamming parameters of the jamming device carrier speed and jamming beam irradiation position are solved through an iterative optimization method. Finally, according to the calculated jamming parameters, the jamming device carrier speed and jamming beam irradiation position are dynamically adjusted, and the radar signal is intercepted and forwarded at the same time.

[0048] like Figure 1 As shown, the specific steps of the method are as follows:

[0049] Step 1: Obtain jamming scenario parameters from intelligence support and electronic reconnaissance equipment;

[0050] After the jammer sends a jammer scenario parameter acquisition request through wireless communication, the intelligence support and electronic reconnaissance equipment returns the jammer scenario parameters, including the three-channel SAR-GMTI system carrier aircraft speed v of 200m / s and height H of 5000m, the jammer carrier aircraft azimuth position is 0 m, distance to position is 10000m and the height h is 400m and the azimuth speed of the target to be simulated 0.3m / s, distance velocity 3m / s, azimuth position is 10m and the distance to the position It is 10040m.

[0051] Step 2: Calculate the interference parameters based on the scenario parameters, including the speed of the interference equipment carrier and the interference beam irradiation position, and then adjust the speed of the interference equipment carrier and the interference beam irradiation position according to the calculated interference parameters. The specific method is as follows;

[0052] Step 2-1: Initialize the jamming parameters, which include the azimuth and velocity of the jamming device carrier. and distance to speed Azimuth position with interference beam illumination Distance to position ;

[0053] Step 2-2: Direct the interference beam to the position Set to the azimuth position of the target to be simulated ,Right now 10m;

[0054] Step 2-3: Construct the range imaging position error objective function:

[0055]

[0056] Step 2-4: Interval =1 m traversal interval In this example, the interval is [9500 m, 10500 m], and the range position of the interference beam that minimizes the range imaging position error objective function is obtained. , which is 9738m.

[0057] Step 2-5: Construct the azimuth imaging position error objective function:

[0058] ;

[0059] Step 2-6: Construct the Doppler slope error objective function:

[0060] ;

[0061] Step 2-7: Merge to obtain the composite objective function:

[0062] ;

[0063] Step 2-8: Randomly generate N=30 alternative solutions, each solution The dimension is 3, and the three dimensions correspond to the azimuth and speed of the jammer carrier respectively. , distance to speed And the interference beam irradiation distance to the position , and The value ranges are and In this example, we take [-10 m, 10 m]. Initialize the interference beam irradiation distance to position is 0.

[0064] Randomly generate the movement speed of each solution , the dimension is 2, corresponding to the azimuth and velocity of the jammer aircraft and distance to speed .

[0065] Set the iteration variable t and initialize it to 0.

[0066] Step 2-9: Initialize the positions of individual optimal solutions and group optimal solutions:

[0067] Solve each Bring it into the synthetic objective function, calculate the corresponding fitness, and save the fitness obtained by each solution to the individual optimal solution In In addition, the solution with the minimum fitness value is stored in the group optimal solution In .

[0068] Step 2-10: Update the moving speed of each solution:

[0069] ,

[0070] in, is the minimum value of inertia weight, which is 0.4 in this example. is the maximum value of the inertia weight, which is 0.9 in this example. and is the learning factor, which is 2 in this example. and is a random number in the range [0, 1], T is the maximum iteration value, which is set to 1000 times in this example.

[0071] Update the value of each solution:

[0072] .

[0073] Step 2-11: Update the positions of individual optimal solutions and group optimal solutions:

[0074] Traverse all alternative solutions, if , then update .if , then update In addition, the iteration variable t is incremented by 1.

[0075] Step 2-12: Repeat steps 2-10 and 2-11 until the iteration variable t reaches T. The relationship between the composite objective function value corresponding to the group optimal solution and the number of iterations is as follows: Figure 2 As shown. The values ​​in are assigned to the azimuth speed of the jammer aircraft. and distance to speed Distance to interference beam position .

[0076] Step 3: Intercept and forward radar signals to form a false moving target. The interference scenario diagram is as follows: Figure 3 shown.

[0077] The imaging result of the target to be simulated is as follows: Figure 4 As shown, the false motion target imaging results are as follows Figure 5 As shown. The intuitive comparison shows that the two are very similar. For further objective comparison, the distance position, azimuth position, impulse response width, peak sidelobe ratio, azimuth initial motion position and interference parameter acquisition time are used as evaluation indicators to measure the similarity with the target to be simulated, and compared with the improved scattered wave deception jamming method proposed by Dong Chunxi et al. in "A novel scattered wave deception jamming against three channel SAR GMTI" published in "IEEE ACCESS", as shown in Table 1:

[0078] .

[0079] By comparison, it can be seen that the difference between the false moving target generated by this method and the target to be simulated is very small. Compared with the improved scattered wave deception jamming method, this method is closer to the evaluation results with the target to be simulated in terms of azimuth distance and azimuth initial motion position. In addition, the acquisition time of the jamming parameters is significantly faster than that of the improved scattered wave deception jamming method.

[0080] In summary, the present invention can generate realistic false moving targets by dynamically adjusting the motion trajectory of the jamming aircraft and the irradiation position of the jamming beam, effectively improving the accuracy and efficiency of the jamming, and overcoming the shortcomings of the traditional scattered wave deception jamming method, which is slow and low in accuracy.

Claims

1. An intelligent scattered wave deception jamming method for three-channel SAR-GMTI, characterized in that: The following steps are involved: Step 1: Obtain jamming scenario parameters from intelligence support and electronic reconnaissance equipment; Step 2: Calculate the interference parameters based on the interference scenario parameters, and adjust the speed of the interference equipment carrier and the position of the interference beam according to the interference parameters; Step 3: Intercept and forward radar signals to form a false moving target.

2. According to claim 1, the intelligent scattered wave deception jamming method for three-channel SAR-GMTI is characterized in that: The specific method of step 1 is: The jammer sends a jammer scenario parameter acquisition request through wireless communication, and the intelligence support and electronic reconnaissance equipment returns the jammer scenario parameters, including the speed v and height H of the three-channel SAR-GMTI system carrier, and the azimuth position of the jammer carrier. , distance to position and height h, the azimuth velocity of the target to be simulated , distance to speed , azimuth position and distance to position .

3. The intelligent scattered wave deception jamming method for three-channel SAR-GMTI according to claim 2 is characterized in that: The specific method of step 2 is: Step 2-1: Initialize the jamming parameters, which include the azimuth and velocity of the jamming device carrier. and distance to speed , and the azimuth position of the interference beam Distance to position ; Step 2-2: Direct the interference beam to the position Set to the azimuth position of the target to be simulated ; Step 2-3: Construct the range imaging position error objective function: ； Step 2-4: Interval Traversing the range , obtain the interference beam irradiation distance position that minimizes the distance imaging position error objective function , is the minimum distance position, is the maximum distance position; Step 2-5: Construct the azimuth imaging position error objective function: ； Step 2-6: Construct the Doppler slope error objective function: ； Step 2-7: Combine the azimuth imaging position error objective function and the Doppler slope error objective function to obtain a composite objective function: ； Step 2-8: Randomly generate N alternative solutions , n=1,2,...,N, alternative solution The dimension is 3, and the three dimensions correspond to the azimuth and speed of the jammer carrier respectively. , distance to speed And the interference beam irradiation distance to the position ; Randomly generate the movement speed of each alternative solution , The dimension is 2, and the two dimensions correspond to the azimuth and velocity of the jammer carrier respectively. and distance to speed ; Set the iteration variable t, and change the iteration variable t and the interference beam irradiation distance to the position All are initialized to 0; Step 2-9: For each alternative solution Substitute them into the synthetic objective function respectively, calculate the corresponding fitness value, and set the individual optimal solution corresponding to each alternative solution as ,initialization , set the alternative solution with the smallest fitness value as the group optimal solution ; Step 2-10: Update the moving speed of each alternative solution: ， in, is the minimum inertia weight, is the maximum inertia weight, and is the learning factor, and is a random number in the range [0, 1], and T is the maximum number of iterations; Update the value of each candidate solution: ； Step 2-11: Traverse all alternative solutions, if , then update ,if , then update ;Increase the iteration variable t by 1; Step 2-12: Repeat steps 2-10 and 2-11 until the iteration variable t reaches T; The values ​​in are assigned to the azimuth speed of the jammer aircraft. and distance to speed .

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