Multi-array-plane connection implementation method
By setting the cross-array overlap area in phased array technology, building a confidence function and calculating the target azimuth value, the unstable sorting result of the target at the junction when splicing multiple arrays is solved, the stability and robustness of the interference wave level are achieved, and the system's resource utilization rate and combat effectiveness are improved.
Patent Information
- Application Number
- CN202411852213.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-16
- Publication Date
- 2025-04-15
AI Technical Summary
Under the phased array technology system, when multiple arrays are spliced, when the target is near the junction of the adjacent array working range, the system will have redundancy, jitter and false PDW results, resulting in frequent jumps in interference wave position settings, affecting the stability of the system interference effect.
By setting the cross-array overlap area, a confidence function is constructed, the target azimuth value is calculated based on the weight, and the interference transmitting wave level is set based on this, and the inertial scheduling principle is adopted to ensure that the system's transition at the junction is smoother.
It improves the confidence of the system's sorting results at the junction, realizes the stability and robustness of the interference wave level, improves the system's resource utilization and combat effectiveness, and avoids the potential for confrontational combat at the junction of the formation.
Smart Images
Figure CN119828077A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of active phased array systems, and in particular to a method for implementing multi-array handover. Background Art
[0002] Under the phased array technology system, the scanning range of a single array is usually limited to 120°. In order to meet the 360° all-round target confrontation application requirements of the electronic warfare system, multiple arrays need to be spliced. When the target appears near the intersection of the adjacent array working ranges, due to the differences and non-idealities of the individual hardware of the array, the system often forms redundant, jittery or even false PDW results in azimuth sorting, causing the system interference wave position setting to frequently jump, causing the system to repeatedly alternately issue launch tasks for different arrays, seriously affecting the stability of the system interference effect. Therefore, the determination, calculation and processing of the sorting results and the control strategy of the wave position in the process of the target crossing adjacent arrays are of great significance, and are also the key and difficulty to ensure the confrontation strength and reliability of multi-array electronic systems in the full-domain working state. Summary of the invention
[0003] The present application provides a multi-array handover implementation method, which can be used to solve the technical problem of weak stability of system interference effect.
[0004] The present application provides a multi-plane handover implementation method, the method comprising:
[0005] Step 1, setting the cross-array overlap area;
[0006] Step 2, determine the target quantity;
[0007] Step 3, construct a confidence function;
[0008] Step 4, calculating the target orientation value according to the weight;
[0009] Step 5: Set the interference transmission wave position.
[0010] Furthermore, step 1, setting the cross-front overlap area, includes:
[0011] The overlap area is the angle range β of about 10% of the actual scanning range α of each single array, and the overlap angle range is 2β with the intersection as the symmetry axis. O1 is the azimuth normal of the first array, θ O2 is the azimuth normal of the second array, θ j is the intersection of the two adjacent front azimuths, θ B1 is the right boundary of the scanning azimuth of the first array, θ B2 is the left boundary of the scanning azimuth of the second array, θ B2 and θ B1The interval is θ j is the overlapping area of the symmetry axes, and the angle range is 2β.
[0012] Further, step 2, determining the target quantity, includes:
[0013] In the 2β overlapping area, the reconnaissance and sorting results of the two adjacent arrays are counted, classified and sorted according to the PDW value, and the parts intercepted by both arrays and whose parameters except azimuth and elevation values match are selected to form a list for subsequent weighted processing; each target Tn in the list contains the azimuth values θ from the two arrays tn1 and θ tn2 ;
[0014] Furthermore, step 3, constructing a confidence function, includes:
[0015] Assume that the confidence at any point in the target position overlap region satisfies the formula f1(θ); and f1(θ B2 )=p max ,f1(θ j )=0.5,f1(θ B1 )=p min ; That is, the sorting result of the first array is in θ B2 The confidence level on is the upper bound p max , in θ j The confidence level on θ is 50%. B1 The confidence level on is the upper bound p min Due to the symmetrical arrangement of adjacent arrays, the confidence of any point of the second array in the overlapping area satisfies the formula f2(θ)=f1(-θ+(θ B1 +θ B2 )); Since the overlapping area is θ j is the axis of symmetry, θ B1 +θ B2 =2θ j , so the confidence function formula of the second array f2(θ) is also written as f1(-θ+2θ j ).
[0016] Further, step 4, calculating the target orientation value according to the weight, includes:
[0017] According to the function in step 3, the confidence p of the matching signal of each array in the overlapping area is calculated respectively. tn1 =f1(θ tn1 ), pn2=f2(θ tn2 ), the final orientation value of the target Tn is the weighted sum of the two angles after confidence normalization, that is, θ tn =(p tn1 θ tn1 +p tn2 θtn2 ) / (p tn1 +p tn2 ).
[0018] Furthermore, step 5: setting the interference transmission wave position; including:
[0019] The azimuth θ calculated in step 4 tn As the only azimuth input parameter for guiding the system interference; when the system dispatches interference resources on different fronts, it follows the inertia principle that is consistent with historical resources;
[0020] Specifically, when the system keeps scheduling the first array to perform the launch task, until θ tn >θ B1 The launch resource of the second array is switched, and the system keeps scheduling the second array to perform the launch task until θ tn <θ B2 Only then switch the launch resources of the first array.
[0021] The invention proposes a method for realizing multi-surface handover, which has the following beneficial effects: when a target enters the intersection of adjacent array scanning ranges, the system comprehensively processes the sorting results of two devices, so the confidence of the sorting results is higher than that of a single device source, and the transition is smoother; this result is used as the only azimuth parameter input for guiding interference, and the inertial scheduling principle is adopted, so that the stability and robustness of the system interference can be achieved without introducing additional resources, thereby improving the overall resource utilization and combat effectiveness of the system, and avoiding the hidden dangers of confrontational operations of the system at the intersection of the arrays to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 It is the corresponding relationship diagram of the overlapping areas of adjacent fronts;
[0023] Figure 2 It is the confidence function graph of the overlapping area;
[0024] Figure 3 This is a schematic diagram of interference transmission resource scheduling control. DETAILED DESCRIPTION
[0025] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.
[0026] The following first introduces the embodiments of the present application in conjunction with the accompanying drawings.
[0027] Step 1: Set the cross-array overlap area. Taking the azimuth intersection as an example, in order to make full use of the data near the intersection of multiple arrays for comprehensive processing, the angle range β of about 10% of the actual scanning range α of each single array is used as the overlap area, and the intersection is used as the symmetry axis. There is a total overlap angle range of 2β, such as Figure 1 As shown, where θ O1 is the azimuth normal of array 1, θ O2 is the azimuth normal of array 2, θ j is the intersection of the two adjacent front azimuths, θ B1 is the right boundary of the scanning azimuth of array 1, θ B2 is the left boundary of the scanning azimuth of array 2, θ B2 and θ B1 The interval is θ j is the overlapping area of the symmetry axis, with an angle range of 2β;
[0028] Step 2: Determine the number of targets. In the 2β overlap area, count the reconnaissance and sorting results of the two adjacent arrays, classify and sort them according to the PDW value, and select the parts that are intercepted by both arrays and whose parameters match except the azimuth and elevation values to form a list for subsequent weighted processing. Each target Tn in the list contains the azimuth values θ from the two arrays. tn1 and θ tn2 ;
[0029] Step 3: Construct a confidence function. Taking array 1 as an example, assume that the confidence at any point in the target position overlap area satisfies the formula f1(θ). This function is a monotonically decreasing function, and f1(θ B2 )=p max ,f1(θ j )=0.5,f1(θ B1 )=p min That is, the sorting result of the array 1 is B2 The confidence level on is the upper bound p max , in θ j The confidence level on θ is 50%. B1 The confidence level on is the upper bound p min ,like Figure 2 Similarly, due to the symmetrical arrangement of adjacent arrays, the confidence level of array 2 at any point in the overlapping area should satisfy the formula f2(θ)=f1(-θ+(θ B1 +θ B2 )). Since the overlapping area is θ j is the axis of symmetry, θ B1 +θ B2 =2θ j , so the confidence function formula f2(θ) of array 2 can also be written as f1(-θ+2θ j );
[0030] Step 4: Calculate the target azimuth value based on the weight. According to the function designed in step (3), calculate the confidence p of the matching signal of each front in the overlapping area. tn1 =f1(θ tn1 ), pn2=f2(θ tn2 ), the final orientation value of the target Tn is the weighted sum of the two angles after confidence normalization, that is, θ tn =(p tn1 θ tn1 +p tn2 θ tn2 ) / (p tn1 +p tn2 );
[0031] Step 5: Set the interference transmission wave position. Take the azimuth θ calculated in step (4) as tn As the only azimuth input parameter for guiding the system interference. When the system dispatches different array interference resources, it follows the inertia principle of trying to unify with historical resources as much as possible. Specifically, when the system keeps dispatching array 1 to perform the launch task, until θ tn >θ B1 Similarly, when the system keeps scheduling the launch task of array 2, until θ tn <θ B2 Only then the transmission resource of array 1 is switched, and the system control is as follows Figure 3 shown.
[0032] This application uses the intersection of adjacent arrays as the symmetry axis, and the actual scanning range of each single array is within the respective angle range
[0033] As the overlapping area. Construct a confidence function in the overlapping area, calculate the confidence of the target signal of each array in the overlapping area as the weight value, and the final target position is the weighted sum of the normalized two array angles;
[0034] This application uses the calculated position as the only position input parameter for guiding system interference. When the system schedules interference resources of different arrays, it follows the inertia principle of trying to unify with historical resources. Specifically, when the system keeps scheduling array 1 for a launch task, it will not switch the launch resources of array 2 until the target leaves the scanning range of array 1. Similarly, when the system keeps scheduling array 2 for a launch task, it will not switch the launch resources of array 1 until the target leaves the scanning range of array 2.
[0035] The present invention provides a method for forming multi-beams with adaptive beam width of tilted arrays. The method is applicable to a phased array system in which azimuth receiving multi-beams are scanned in the pitch dimension. Take the following system as an example:
[0036] Step 1: Set the cross-plane overlap area. In this example, the four-plane azimuth intersection is used, and the actual scanning range of each single-plane is within α = 110°, and the 10° angle range of each single-plane is used as the overlap area. The intersection is used as the symmetry axis, and the total overlap angle range is 20°, where θ O1 =180° is the azimuth normal of array 1, θ O2 =270° is the azimuth normal of array 2, θ j =225° is the intersection of the two adjacent fronts, θ B1 =235° is the right boundary of the scanning azimuth of array 1, θ B2 =215° is the left boundary of the scanning azimuth of array 2, θ B2 and θ B1 The interval is θ j is the overlapping area of the symmetry axis, with an angle range of 2β = 20°;
[0037] Step 2: Determine the number of targets. In the 2β overlapping area, count the reconnaissance sorting results of the two adjacent arrays, classify and sort them according to the PDW value, select the parts that are intercepted by both arrays and whose parameters match except the azimuth and elevation values to form a list for subsequent weighted processing. In this example, the number of targets in the overlapping area is 2, and the sorting azimuth value θ of the first target T1 in the target list at array 1 is t11 =217.2°, sorting azimuth value θ at array 2 t12 =218.6°, the sorting azimuth value θ of the second target T2 in the target list at the array 1 t21 =224.5°, sorting azimuth value θ at array 2 t22 =225.5°;
[0038] Step 3: Construct a confidence function. The confidence of the front 1 satisfies the formula f1(θ)=-0.04θ+9.5 (degree system). The function f1(215°)=0.9, f1(225°)=0.5, f1(235°)=0.1. The confidence function formula of the front 2 is f2(θ)=0.04θ-8.5 (degree system);
[0039] Step 4: Calculate the target azimuth value based on the weight. According to the function designed in step (3), calculate the confidence p of the matching signal of each front in the overlapping area. t11 =f1(θ t11 )=0.812,p t12 =f2(θ t12 )=0.244, the final orientation value of target T1 is the weighted sum of the two angles after confidence normalization, that is, θ t1 =(p t11 θ t11 +p t12 θ t12) / (p t11 +p t12 )=217.52°. Similarly, the p of target T2 t21 =f1(θ t21 )=0.52,p t22 =f2(θ t22 )=0.52,θ t2 =(p t21 θ t21 +p t22 θ t22 ) / (p t21 +p t22 )=225.00°;
[0040] Step 5: Set the interference transmission wave position. Take the azimuth θ calculated in step (4) as tn As the only azimuth input parameter for guiding the system interference. When the system dispatches different array interference resources, it follows the inertia principle of trying to unify with historical resources as much as possible. Specifically, when the system keeps dispatching array 1 to perform the launch task, until θ tn >235°, the launch resource of array 2 is switched. Similarly, when the system keeps scheduling array 2 for the launch task, until θ tn <215° will switch the emission resources of array 1.
[0041] In summary, the above are only preferred embodiments of the present invention and are not intended to limit the protection scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
[0042] The above-described embodiments of the present application do not constitute a limitation on the protection scope of the present application.
Claims
1. A method for implementing multi-plane handover, characterized in that: The method comprises: Step 1, setting the cross-array overlap area; Step 2, determine the target quantity; Step 3, construct a confidence function; Step 4, calculating the target orientation value according to the weight; Step 5: Set the interference transmission wave position.
2. The method according to claim 1, characterized in that: Step 1, setting the cross-plane overlap area; including: The overlap area is the angle range β of about 10% of the actual scanning range α of each single array, and the overlap angle range is 2β with the intersection as the symmetry axis. O1 is the azimuth normal of the first array, θ O2 is the azimuth normal of the second array, θ j is the intersection of the two adjacent front azimuths, θ B1 is the right boundary of the scanning azimuth of the first array, θ B2 is the left boundary of the scanning azimuth of the second array, θ B2 and θ B1 The interval is θ j is the overlapping area of the symmetry axes, and the angle range is 2β.
3. The method according to claim 1, characterized in that Step 2, determine the target quantity; including: In the 2β overlapping area, the reconnaissance and sorting results of the two adjacent arrays are counted, classified and sorted according to the PDW value, and the parts intercepted by both arrays and whose parameters except azimuth and elevation values match are selected to form a list for subsequent weighted processing; each target Tn in the list contains the azimuth values θ from the two arrays tn1 and θ tn2 .
4. The method according to claim 1, characterized in that: Step 3: construct a confidence function; including: Assume that the confidence at any point in the target position overlap region satisfies the formula f1(θ); and f1(θ B2 )=p max ,f1(θ j )=0.5,f1(θ B1 )=p min ; That is, the sorting result of the first array is in θ B2 The confidence level on is the upper bound p max , in θ j The confidence level on θ is 50%. B1 The confidence level on is the upper bound p min Due to the symmetrical arrangement of adjacent arrays, the confidence of any point of the second array in the overlapping area satisfies the formula f2(θ)=f1(-θ+(θ B1 +θ B2 )); Since the overlapping area is θ j is the axis of symmetry, θ B1 +θ B2 =2θ j , so the confidence function formula of the second array f2(θ) is also written as f1(-θ+2θ j ).
5. The method according to claim 1, characterized in that Step 4, calculating the target orientation value according to the weight; including: According to the function in step 3, the confidence p of the matching signal of each array in the overlapping area is calculated respectively. tn1 =f1(θ tn1 ), pn2=f2(θ tn2 ), the final orientation value of the target Tn is the weighted sum of the two angles after confidence normalization, that is, θ tn =(p tn1 θ tn1 +p tn2 θ tn2 ) / (p tn1 +p tn2 ).
6. The method according to claim 1, characterized in that Step 5: Set the interference transmission wave position; including: The azimuth θ calculated in step 4 tn As the only azimuth input parameter for guiding the system interference; when the system dispatches interference resources on different fronts, it follows the inertia principle that is consistent with historical resources; When the system keeps scheduling the first array to launch, until θ tn >θ B1 The launch resource of the second array is switched, and the system keeps scheduling the second array to perform the launch task until θ tn <θ B2 Only then switch the launch resources of the first array.