Dual-band dual-sparse low sidelobe antenna array synthesis method and device, storage medium and terminal

Abstract

The present invention provides a dual-band dual-sparse low sidelobe antenna array synthesis method and device, storage medium and terminal, wherein the method includes uniformly arranging the low-frequency array in a preset aperture space, and using a preset sparse method to sparse the low-frequency array to obtain a sparse low-frequency array; non-uniformly arranging the high-frequency array in the remaining space except the space occupied by the sparse low-frequency array in the preset aperture space to obtain an initial high-frequency array pattern, and finding the sidelobe area corresponding to the initial high-frequency array pattern; based on the initial high-frequency array pattern, using an alternating projection sparse array algorithm to perform multiple high-frequency array arrangement iterations to obtain a final iteration result, and selecting the high-frequency array arrangement in the final iteration result as the target high-frequency array arrangement. The antenna array obtained using the present invention simultaneously realizes optimized operation in two different frequency bands, low frequency and high frequency, and can also effectively reduce system complexity and reduce costs.

Description

Technical Field

[0001] The present invention belongs to the technical field of antenna arrays, and relates to a dual-band dual-sparse low sidelobe antenna array synthesis method, and in particular to a dual-band dual-sparse low sidelobe antenna array synthesis method and device, storage medium and terminal. Background Art

[0002] In modern radar and communication systems, the design of low sidelobe array antennas is the key to achieving high-performance transmission. The emergence of sparse arrays provides a research basis for the realization of low-cost low sidelobe arrays. It reduces manufacturing and maintenance costs by reducing the number of antenna elements required, while making the overall structure lighter and easier to deploy and maintain. In addition, sparse arrays provide the flexibility to adjust the array configuration to suit different application scenarios. It can also improve the accuracy of signal processing by optimizing the array element layout, achieving high directivity and low sidelobe levels.

[0003] In order to improve the space utilization rate within the aperture space, the common aperture antenna array technology came into being. It allows the same antenna system to operate on multiple frequency bands. Such versatility can greatly improve the performance of radar systems and the coverage of communication systems. However, the existing technology only provides a synthesis method for single-frequency sparse arrays, which cannot be simply transferred to synthesize dual-frequency sparse arrays; and for dual-splitting sparse arrays, the existing technology based on the dual-band common aperture design system of such antenna units is highly complex and difficult to design. At the same time, the large number of array elements required for each frequency band leads to high costs. These problems related to design difficulty and production cost need to be solved urgently. Summary of the invention

[0004] The purpose of the present invention is to provide a dual-band dual-sparse low sidelobe antenna array synthesis method and device, storage medium and terminal, which are used to solve the technical problems of complex dual-band common aperture antenna unit structure and large number of array elements in the prior art.

[0005] In a first aspect, the present invention provides a dual-band dual-sparse low sidelobe antenna array synthesis method, comprising:

[0006] Uniformly arranging the low-frequency array in a preset aperture space to obtain an arranged low-frequency array, and thinning the arranged low-frequency array using a preset sparse method to obtain a sparse low-frequency array;

[0007] Arrange the high-frequency array non-uniformly in the remaining space of the preset aperture space except the space occupied by the sparse low-frequency array to obtain an initial high-frequency array pattern, and find the sidelobe area corresponding to the initial high-frequency array pattern;

[0008] Based on the initial high-frequency array pattern, performing multiple high-frequency array arrangement iterations using an alternating projection sparse array algorithm to obtain a final iteration result, and selecting the high-frequency array arrangement in the final iteration result as the target high-frequency array arrangement;

[0009] Among them, each iteration result includes the initial phase factor, high-frequency array arrangement, high-frequency excitation, sparsity rate and sidelobe level value corresponding to the number of iterations, and the sparsity rate in the final iteration result is greater than or equal to the target sparsity rate threshold and the sidelobe level value is less than or equal to the target level threshold.

[0010] In one embodiment of the present invention, performing multiple high-frequency array arrangement iterations using an alternating projection sparse array algorithm includes:

[0011] Acquire a first iteration result according to the sidelobe area corresponding to the initial high-frequency array pattern and the initial high-frequency array pattern;

[0012] According to the result of each previous iteration of a preset number of times, the high-frequency array arrangement in the result of the previous iteration is sparsely arranged using the alternating projection sparse array algorithm, and the sparsely arranged high-frequency array arrangement is obtained as the high-frequency array arrangement corresponding to the preset number of iterations;

[0013] Wherein, each of the preset times is greater than 1.

[0014] In one embodiment of the present invention, according to the result of the previous iteration of a preset number of times, using the alternating projection sparse array algorithm to sparse the high-frequency array arrangement in the result of the previous iteration, and obtaining the sparse high-frequency array arrangement as the high-frequency array arrangement corresponding to the preset number of iterations includes:

[0015] Obtain a decision matrix corresponding to a preset number of iterations, obtain an initial phase factor corresponding to the preset number of iterations according to an initial phase factor in a result of a previous iteration of the preset number of iterations and the decision matrix, and obtain a high-frequency array arrangement pattern corresponding to the preset number of iterations based on the initial phase factor corresponding to the preset number of iterations and the high-frequency excitation in the result of the previous iteration;

[0016] According to P γ The operator space projects the high-frequency array pattern corresponding to the preset iteration, obtains the expected high-frequency array pattern corresponding to the next iteration of the preset iteration, and obtains the high-frequency excitation corresponding to the preset iteration based on the expected high-frequency array pattern corresponding to the next iteration;

[0017] The sparsity rate and sidelobe level values ​​corresponding to the preset iteration are obtained according to the high-frequency array pattern corresponding to the preset iteration and the decision matrix, and the initial phase factor, high-frequency array pattern, high-frequency excitation, sparsity rate and sidelobe level values ​​are combined as the preset iteration result.

[0018] In one embodiment of the present invention, the preset sparse method includes a neighbor sampling probability density sparse method.

[0019] In an embodiment of the present invention, the basis for uniformly arranging the low frequency array includes the spacing between the low frequency band units and the number of the low frequency band units in the low frequency array.

[0020] In one embodiment of the present invention, the uniform arrangement includes a rectangular arrangement.

[0021] In one embodiment of the present invention, the method used to find the side lobe area corresponding to the high-frequency initial arrangement includes a full-neighborhood seed growing method.

[0022] In a second aspect, the present invention further provides a dual-band dual-sparse low sidelobe antenna array integrated device, characterized in that it includes:

[0023] A low-frequency sparse module is used to evenly arrange the low-frequency array in a preset aperture space to obtain an arranged low-frequency array, and to thin the arranged low-frequency array using a preset thinning method to obtain a sparse low-frequency array;

[0024] A high-frequency arrangement module, used to arrange the high-frequency array non-uniformly in the remaining space of the preset aperture space except the space occupied by the sparse low-frequency array, so as to obtain an initial high-frequency array pattern and find the side lobe area corresponding to the initial high-frequency array pattern;

[0025] A high-frequency sparse module is used to perform multiple high-frequency array arrangement iterations based on the initial high-frequency array pattern using an alternating projection sparse array algorithm to obtain a final iteration result, and select the high-frequency array arrangement in the final iteration result as the target high-frequency array arrangement;

[0026] Among them, each iteration result includes the initial phase factor, high-frequency array arrangement, high-frequency excitation, sparsity rate and sidelobe level value corresponding to the number of iterations, and the sparsity rate in the final iteration result is greater than or equal to the target sparsity rate threshold and the sidelobe level value is less than or equal to the target level threshold.

[0027] In a third aspect, the present invention further provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the dual-band dual-sparse low sidelobe antenna array synthesis method as described above.

[0028] In a fourth aspect, the present invention further provides a terminal, comprising a processor and a memory, wherein the memory is communicatively connected to the processor;

[0029] The memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the terminal executes the dual-band dual-sparse low sidelobe antenna array synthesis method as described above.

[0030] As described above, the dual-band dual-sparse low sidelobe antenna array synthesis method and device, storage medium and terminal described in the present invention have the following beneficial effects:

[0031] 1. The array synthesized by the dual-band dual-sparse low sidelobe antenna array synthesis method proposed in the present invention not only combines the advantages of a single-frequency sparse array in reducing system complexity and cost, but also achieves optimized operation in two different frequency bands, low frequency and high frequency, through innovative design. Therefore, it has more advantages than traditional single-frequency sparse arrays.

[0032] 2. Different from the traditional co-aperture antenna design, the present invention utilizes the dual-band co-aperture arrangement of the array to replace the dual-band co-aperture design of the antenna unit, effectively reducing the difficulty of antenna unit design.

[0033] 3. The present invention also reduces the number of array elements required for each frequency band through sparse arrangement, greatly reducing the cost while achieving low side lobes. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A schematic flow chart of a dual-band dual-sparse low sidelobe antenna array synthesis method according to an embodiment of the present invention is shown.

[0035] Figure 2 A schematic diagram of the process of the proximity sampling probability density sparse method described in an embodiment of the present invention is shown.

[0036] Figure 3 A schematic diagram of a process flow of a preset number of iterations according to an embodiment of the present invention is shown.

[0037] Figure 4 The low-frequency band sparse array radiation pattern of the 256-element dual-band dual-sparse low sidelobe antenna array described in an embodiment of the present invention is shown.

[0038] Figure 5 The high frequency band sparse array radiation pattern of the 256-element dual-band dual-sparse low sidelobe antenna array according to an embodiment of the present invention is shown.

[0039] Figure 6 The element layout diagram of the 256-element dual-band dual-sparse low sidelobe antenna array according to an embodiment of the present invention is shown.

[0040] Figure 7 A schematic structural diagram of a dual-band dual-sparse low sidelobe antenna array integrated device according to an embodiment of the present invention is shown.

[0041] Figure 8 A schematic diagram of the structure of a terminal according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0042] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0043] The following will explain in detail the principles and implementation methods of the dual-band dual sparse low sidelobe antenna array integration method and device, storage medium and terminal of this embodiment, so that those skilled in the art can understand the dual-band dual sparse low sidelobe antenna array integration method, device, storage medium and terminal of this embodiment without creative work.

[0044] In order to solve the above technical problems existing in the prior art, an embodiment of the present invention provides a dual-band dual-sparse low sidelobe antenna array synthesis method.

[0045] Figure 1 FIG. 1 shows a flow chart of a dual-band dual-sparse low sidelobe antenna array synthesis method according to an embodiment of the present invention, with reference to FIG. Figure 1 As shown, the dual-band dual-sparse low sidelobe antenna array synthesis method according to the embodiment of the present invention mainly includes the following steps:

[0046] Step S100: uniformly arranging the low frequency array in a preset aperture space to obtain an arranged low frequency array, and thinning the arranged low frequency array using a preset thinning method to obtain a sparse low frequency array.

[0047] Specifically, the aperture space refers to the physical space range used to place the frequency band unit in the antenna array design. According to the actual situation, a certain aperture space can be selected as the preset aperture space, and the low-frequency array is evenly arranged in the preset aperture space, and the arranged low-frequency array is sparse. The sparse selection method is the preset sparse method to obtain the sparse low-frequency array. Furthermore, the excitation required for the low side lobe of the low-frequency array can be synthesized according to the evenly arranged low-frequency array, that is, the initial excitation in the following step S101.

[0048] Optionally, the uniform arrangement is a rectangular arrangement. Compared with other uniform arrangements, the rectangular arrangement can fill the space more densely and thus utilize the aperture space more effectively. At the same time, the rectangular arrangement is simple and intuitive, and is easy to simulate and adjust. Therefore, the radiation characteristics of the antenna array can be more easily optimized based on the rectangular arrangement.

[0049] Optionally, the basis for uniformly arranging the low frequency array is the low frequency band unit spacing and the number of low frequency band units in the low frequency array, and the number of units to be arranged and the spacing between the units are determined according to actual needs.

[0050] Optionally, the preset sparse method is a proximity sampling probability density sparse method. Figure 2 FIG. 4 shows a flow chart of the proximity sampling probability density sparse method according to an embodiment of the present invention, as shown in FIG. Figure 2 As shown, the proximity sampling probability density sparse method includes the following steps:

[0051] Step S101: Initial excitation is obtained based on the target sidelobe level, and then an initialized sparse array element distribution function is obtained based on the initial excitation. The specific implementation is as follows:

[0052]

[0053] Among them, R p Represents a random number between 0 and 1, k c represents the sparse coefficient, I mn represents the initial excitation, F (0) mn Represents the initialized sparse array element distribution function.

[0054] Step S102: Obtain the array element density distribution function of the corresponding unit according to the initialized sparse array element distribution function, which is specifically implemented as follows:

[0055]

[0056] Among them, k c represents the sparse coefficient, I pq represents the excitation of the p-th row and q-th column unit, S mn Represents the array element density distribution function of the corresponding unit.

[0057] Step S103: Determine the selection of each unit by using the array element density distribution function of the unit to obtain an updated sparse array element arrangement, which is specifically implemented as follows:

[0058]

[0059] Among them, F mn finRepresents the updated sparse array element arrangement. At this point, a low-frequency array arrangement with low side lobes after sparseness in the preset aperture space can be obtained. It should be noted that the traditional probability density sparse algorithm only considers whether the unit itself is sparse or not, but the adjacent sampling probability density sparse method of the present application can assist in determining whether the unit is sparse based on the sparsity of the adjacent 3*3 units formed with the unit as the center. Therefore, compared with the traditional probability density sparse algorithm, the adjacent sampling probability density sparse method of the present application can reduce the influence of random numbers on the array arrangement, thereby making the arrangement of the array elements more reasonable and holistic.

[0060] Step S200: non-uniformly arrange the high-frequency array in the remaining space of the preset aperture space except the space occupied by the sparse low-frequency array to obtain an initial high-frequency array pattern, and find the sidelobe area corresponding to the initial high-frequency array pattern.

[0061] Specifically, in the remaining space in the preset aperture space except the space occupied by the sparse low-frequency array, that is, in the same aperture space of the sparse low-frequency array, the high-frequency array is arranged non-uniformly, and after the non-uniform arrangement, the sidelobe area corresponding to the high-frequency array radiation pattern is found. The sidelobe area is the expected sidelobe distribution area. When performing algorithm sparse optimization subsequently, the sidelobe area needs to be infinitely close to the target area.

[0062] Optionally, a full-neighborhood seed growth method is used to find the sidelobe area corresponding to the high-frequency array pattern. Using the full-neighborhood seed growth method to find the sidelobe area corresponding to the high-frequency array pattern includes: obtaining the excitation corresponding to the high-frequency array, obtaining the high-frequency array pattern according to the excitation corresponding to the high-frequency array; finding the angle corresponding to the maximum value of the sidelobe, and progressing to all neighboring angles of the angle until the minimum value of the sidelobe is found, and stopping the progress, and all neighboring angles found in the progressive process are the sidelobe areas.

[0063] Step S300: Based on the initial high-frequency array pattern, perform multiple high-frequency array arrangement iterations using an alternating projection sparse array algorithm to obtain a final iteration result, and select the high-frequency array arrangement in the final iteration result as the target high-frequency array arrangement.

[0064] Specifically, before iterating according to the initial high-frequency array pattern, it is also necessary to set the minimum sidelobe level to be achieved by the iteration. The algorithm used by the iterative model is the alternating projection sparse array algorithm, and the alternating projection sparse array algorithm is an algorithm that applies the sparse decision matrix to the post-processing link of the alternating projection algorithm, that is, sparse decision is made on the excitation calculated by the alternating projection algorithm and the excitation after the decision is applied to the next alternating projection algorithm. Based on this description, those skilled in the art can clearly reproduce the "alternating projection sparse array algorithm" of the present application. After each iteration using the algorithm to sparse the high-frequency array arrangement, an updated new high-frequency array arrangement will be obtained as the high-frequency array arrangement corresponding to this iteration and stored in the iteration result. At the same time, each iteration will also update the high-frequency excitation, sparse rate and sidelobe level value. These updated parameters are stored in the iteration result, that is, each iteration result includes the initial phase factor, high-frequency array arrangement, high-frequency excitation, sparse rate and sidelobe level value corresponding to the number of iterations. Repeat the above iterative steps until the corresponding side lobe level value in the iterative result meets the expected level value and the sparsity rate reaches the target value, that is, the sparsity rate in the last iterative result (that is, the final iterative result) is greater than or equal to the target sparsity rate threshold, and the side lobe level value is less than or equal to the target level threshold.

[0065] Furthermore, in order to improve the sparse efficiency, the maximum number of iterations can be set. When the number of iterations reaches the maximum number of iterations, regardless of whether the corresponding sidelobe level value in the iteration result meets the expected level value and whether the sparse rate reaches the target value, the iteration is stopped immediately, and the high-frequency array arrangement in the result of the last iteration is used as the optimized high-frequency array arrangement. At this point, the sparse low-frequency and high-frequency units are arranged simultaneously in the same aperture space. Furthermore, the high-frequency excitation in the last iteration result can be obtained as the optimized high-frequency excitation.

[0066] Optionally, performing multiple high-frequency array arrangement iterations using an alternating projection sparse array algorithm includes: obtaining a first iteration result based on the sidelobe area corresponding to the initial high-frequency array pattern and the initial high-frequency array pattern, and using the alternating projection sparse array algorithm to sparse the high-frequency array arrangement in the previous iteration result according to each preset number of previous iteration results, and obtaining the sparse high-frequency array arrangement as the high-frequency array arrangement corresponding to a preset number of iterations, and the number of each preset number is greater than 1. That is, the first iteration result is obtained based on the sidelobe area corresponding to the initial high-frequency array pattern obtained in step S200 and the initial high-frequency array pattern, and the iteration results from the second iteration to the last iteration are all obtained by sparseness based on the alternating projection sparse array algorithm. The method of obtaining the first iteration result is specifically implemented with reference to the following formula:

[0067]

[0068] Among them, w (0) is the high frequency excitation in the first iteration result, X (0) is the initial phase factor for the first iteration, F d is the expected pattern of the first iteration. Specifically, since the sidelobe area corresponding to the initial high-frequency array pattern under the non-uniform arrangement has been found, the pattern level in the sidelobe area is required to be less than the target sidelobe level (the target sidelobe level can be changed to a suitable value according to different requirements), and the level of the non-sidelobe area is as close as possible to the level of the area under the non-uniform arrangement, that is, the expected pattern F of the first iteration is obtained. d .

[0069] Optionally, according to the result of the previous iteration of a preset number of times, using the alternating projection sparse array algorithm to sparse the high-frequency array arrangement in the result of the previous iteration, and obtaining the sparse high-frequency array arrangement as the high-frequency array arrangement corresponding to the preset number of iterations includes the following steps:

[0070] The following steps are used to illustrate the iterative process when the preset number is the lth time. When the iterative process is at other preset times, the method is the same as the lth time. Figure 3 FIG. 1 shows a schematic diagram of a process flow of a preset number of iterations according to an embodiment of the present invention, referring to FIG. Figure 3 As shown, the steps are:

[0071] Step S301: Obtain the decision matrix corresponding to the preset iteration, obtain the initial phase factor corresponding to the preset iteration according to the initial phase factor in the previous iteration result and the decision matrix, and obtain the high-frequency array arrangement pattern corresponding to the preset iteration based on the initial phase factor corresponding to the preset iteration and the high-frequency excitation in the previous iteration result. The specific implementation is as follows:

[0072] X (l) =X (l-1) ⊙W (l)

[0073] F (l) =X (l) w (l-1)

[0074]

[0075] Among them, X (l) is the initial phase factor corresponding to the preset iteration, X (l-1) is the initial phase factor corresponding to the previous iteration, W (l) is the decision matrix corresponding to the preset iteration, R p Represents a random number between 0 and 1, k c represents the sparse coefficient, F (l)is the high frequency array arrangement pattern corresponding to the preset iteration, w (l-1) is the high frequency excitation in the previous iteration result.

[0076] Step S302: According to P γ The operator space projects the high-frequency array pattern corresponding to the preset iteration, obtains the expected high-frequency array pattern corresponding to the next iteration of the preset iteration, and obtains the high-frequency excitation corresponding to the preset iteration based on the expected high-frequency array pattern corresponding to the next iteration. The specific implementation is as follows:

[0077]

[0078] Among them, F (l+1) is the expected high-frequency array arrangement pattern corresponding to the next iteration after the preset times, j is the imaginary unit, β is the attenuation constant, x, y are the unit positions, θ and φ are the pointing angles in the spherical coordinate system. γ Operator space pair F (l) Projection can be obtained to obtain F (l+1) , and w (l) is the high frequency excitation corresponding to the preset iteration. It should be noted that F (l +1) The expected high-frequency array arrangement pattern corresponding to the next time is not the actual high-frequency array arrangement pattern, that is, the actual F obtained above. (l) To calculate an expected F (l+1) , this expected F (l+1) To calculate w (l) . The real F (l+1) (i.e., the high-frequency array arrangement pattern corresponding to the l+1th iteration) needs to be obtained using step S301 in the l+1th iteration. (l) Another representation of the calculation method of the initial phase factor, whose value is the same as the X corresponding to the preset iteration obtained in step 301 according to the initial phase factor in the result of the preset previous iteration and the decision matrix (l) The initial phase factors are equal.

[0079] It should be noted that, during the execution of the specific program, for each iteration, it is necessary to obtain the high-frequency excitations of all units before the iteration, so as to make sparse decisions on these units in turn. As shown in the following code:

[0080]

[0081] Among them, Iter.NO indicates the maximum number of iterations, length(w (l-1)) represents the number of units in l-1 iterations, and for represents a for loop. The above code represents two layers of for loops. The first layer of loops is used for successive iterations, and the second layer of loops is used to make sparse decisions at each iteration.

[0082] Step S303: Obtain the sparse rate and sidelobe level values ​​corresponding to the preset iteration according to the high-frequency array pattern and decision matrix corresponding to the preset iteration, and collect the initial phase factor, high-frequency array pattern, high-frequency excitation, sparse rate and sidelobe level values ​​as the preset iteration result. The specific implementation is as follows:

[0083] η = matrix W (l) Number of non-zero elements in / matrix W (l) Number of elements in

[0084] Wherein, η is the sparsity rate in the preset iteration results.

[0085] If during the iteration process, it is detected that the sparseness rate is greater than or equal to the target sparseness rate threshold, and the sidelobe level value in the iteration result is less than or equal to the target level threshold, the iteration is determined to be over, and the high-frequency array arrangement in the iteration result is output as the target high-frequency array arrangement. At this point, the target high-frequency array arrangement is obtained, that is, a dual-band dual-sparse low sidelobe antenna array in the same aperture space is obtained.

[0086] Furthermore, the present application verifies and illustrates the technical effect through the following simulation examples.

[0087] The low-frequency band planar array of this embodiment is placed in the XOY plane, the number of array elements is 256, and the array element spacing is d x =d y =0.5λ l , the expected sidelobe level is -20dB. The low-frequency array is sparsely distributed by the adjacent sampling probability density sparse method. A 59% sparse rate for the low-frequency band array is achieved. Specifically, Figure 4 The low-frequency band sparse array radiation pattern of the 256-element dual-band dual-sparse low sidelobe antenna array described in an embodiment of the present invention is shown.

[0088] In the same space, high-frequency array elements are arranged non-uniformly at non-low-frequency array element positions, and the array element spacing is d x =d y =0.5λ h , the expected sidelobe level is -20dB. The high-frequency band array element distribution is obtained by the sparse array algorithm based on the alternating projection algorithm, achieving a 51% sparse rate. Specifically, Figure 5 The high frequency band sparse array radiation pattern of the 256-element dual-band dual-sparse low sidelobe antenna array according to an embodiment of the present invention is shown.

[0089] Figure 6The array element layout diagram of the 256-element dual-band dual-sparse low sidelobe antenna array according to the embodiment of the present invention is shown. The high-frequency and low-frequency array element layouts in the aperture space of the dual-band dual-sparse low sidelobe antenna array obtained in this embodiment are as follows: Figure 6 shown.

[0090] The protection scope of the dual-band dual-sparse low sidelobe antenna array synthesis method of the embodiment of the present invention is not limited to the execution order of the steps listed in this embodiment. All solutions implemented by adding, reducing or replacing steps in the prior art based on the principles of the present invention are included in the protection scope of the present invention.

[0091] The dual-band dual-sparse low sidelobe antenna array synthesis method of the embodiment of the present invention not only combines the advantages of a single-frequency sparse array in reducing system complexity and cost, but also realizes optimized operation in two different frequency bands, low frequency and high frequency, through innovative design. At the same time, the dual-band co-aperture arrangement of the array replaces the dual-band co-aperture design of the antenna unit, effectively reducing the difficulty of antenna unit design. In addition, the number of array elements required for each frequency band is reduced through sparse arrangement, which greatly reduces the cost while achieving low side lobes.

[0092] In order to solve the above technical problems existing in the prior art, an embodiment of the present invention further provides a dual-band dual-sparse low sidelobe antenna array integrated device.

[0093] Figure 7 FIG. 1 shows a schematic diagram of the structure of a dual-band dual-sparse low sidelobe antenna array integrated device according to an embodiment of the present invention, referring to FIG. Figure 7 As shown, the dual-band dual-sparse low sidelobe antenna array integrated device according to the embodiment of the present invention includes a low-frequency sparse module, a high-frequency arrangement module and a high-frequency sparse module.

[0094] The low-frequency sparse module is used to evenly arrange the low-frequency array in a preset aperture space to obtain an arranged low-frequency array, and to sparse the arranged low-frequency array using a preset sparse method to obtain a sparse low-frequency array.

[0095] The high-frequency arrangement module is used to arrange the high-frequency array non-uniformly in the remaining space of the preset aperture space except the space occupied by the sparse low-frequency array to obtain the initial high-frequency array radiation pattern and find the sidelobe area corresponding to the initial high-frequency array radiation pattern.

[0096] The high-frequency sparse module is used to perform multiple high-frequency array arrangement iterations based on the initial high-frequency array pattern using the alternating projection sparse array algorithm to obtain all iteration results, and select the high-frequency array arrangement in the last iteration result as the target high-frequency array arrangement.

[0097] Among them, each iteration result includes the initial phase factor, high-frequency array arrangement, high-frequency excitation, sparsity rate and sidelobe level value corresponding to the number of iterations. In the last iteration result, the sparsity rate is greater than or equal to the target sparsity rate threshold and the sidelobe level value is less than or equal to the target level threshold.

[0098] The dual-band dual-sparse low sidelobe antenna array integrated device of the embodiment of the present invention not only combines the advantages of a single-frequency sparse array in reducing system complexity and cost, but also realizes optimized operation in two different frequency bands, low frequency and high frequency, through innovative design. At the same time, the dual-band co-aperture arrangement of the array replaces the dual-band co-aperture design of the antenna unit, effectively reducing the difficulty of antenna unit design. In addition, the number of array elements required for each frequency band is reduced through sparse arrangement, which greatly reduces the cost while achieving low side lobes.

[0099] In order to solve the above-mentioned technical problems existing in the prior art, an embodiment of the present invention further provides a storage medium on which a computer program is stored, characterized in that when the program is executed by a processor, all steps of the dual-band dual sparse low sidelobe antenna array synthesis method of the embodiment are implemented.

[0100] The specific steps of the dual-band dual-sparse low sidelobe antenna array synthesis method and the beneficial effects obtained by applying the readable storage medium provided by the embodiment of the present invention are the same as those in the above embodiment and will not be described in detail here.

[0101] A person of ordinary skill in the art can understand that all or part of the steps in the method for implementing the above-mentioned embodiment can be completed by instructing a processor through a program, and the program can be stored in a computer-readable storage medium, and the storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state hard disk, a magnetic tape, a floppy disk, an optical disc, and any combination thereof. The above-mentioned storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a digital video disc (DVD)), or a semiconductor medium (for example, a solid-state disk (SSD)), etc.

[0102] In order to solve the above technical problems existing in the prior art, an embodiment of the present invention further provides a terminal. Figure 8 A schematic diagram of the structure of the terminal according to an embodiment of the present invention is shown, referring to Figure 8As shown, the terminal of the embodiment of the present invention includes a processor and a memory, and the memory and the processor are communicatively connected; the memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory, so that the terminal executes all steps of the dual-band dual sparse low sidelobe antenna array synthesis method of the above embodiment.

[0103] The specific steps of the dual-band dual-sparse low sidelobe antenna array synthesis method and the beneficial effects obtained by applying the terminal provided by the embodiment of the present invention are the same as those in the above embodiment and will not be described in detail here.

[0104] It should be noted that the memory may include random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage. Similarly, the processor may also be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0105] Although the embodiments disclosed in the present invention are as above, the contents described are only embodiments adopted for facilitating the understanding of the present invention and are not intended to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present invention, but the protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A dual-band dual-sparse low sidelobe antenna array synthesis method, comprising: Uniformly arranging the low-frequency array in a preset aperture space to obtain an arranged low-frequency array, and thinning the arranged low-frequency array using a preset sparse method to obtain a sparse low-frequency array; Arrange the high-frequency array non-uniformly in the remaining space of the preset aperture space except the space occupied by the sparse low-frequency array to obtain an initial high-frequency array pattern, and find the sidelobe area corresponding to the initial high-frequency array pattern; Based on the initial high-frequency array pattern, performing multiple high-frequency array arrangement iterations using an alternating projection sparse array algorithm to obtain a final iteration result, and selecting the high-frequency array arrangement in the final iteration result as the target high-frequency array arrangement; Among them, each iteration result includes the initial phase factor, high-frequency array arrangement, high-frequency excitation, sparsity rate and sidelobe level value corresponding to the number of iterations, and the sparsity rate in the final iteration result is greater than or equal to the target sparsity rate threshold and the sidelobe level value is less than or equal to the target level threshold.

2. The method according to claim 1, characterized in that Using the alternating projection sparse array algorithm to perform multiple high-frequency array arrangement iterations includes: Acquire a first iteration result according to the sidelobe area corresponding to the initial high-frequency array pattern and the initial high-frequency array pattern; According to the result of each previous iteration of a preset number of times, the high-frequency array arrangement in the result of the previous iteration is sparsely arranged using the alternating projection sparse array algorithm, and the sparsely arranged high-frequency array arrangement is obtained as the high-frequency array arrangement corresponding to the preset number of iterations; Wherein, each of the preset times is greater than 1.

3. The method according to claim 2, characterized in that According to the result of the previous iteration of a preset number of times, the high-frequency array arrangement in the result of the previous iteration is sparsely arranged using the alternating projection sparse array algorithm, and the sparsely arranged high-frequency array arrangement is obtained as the high-frequency array arrangement corresponding to the preset number of iterations, including: Obtain a decision matrix corresponding to a preset number of iterations, obtain an initial phase factor corresponding to the preset number of iterations according to an initial phase factor in a result of a previous iteration of the preset number of iterations and the decision matrix, and obtain a high-frequency array arrangement pattern corresponding to the preset number of iterations based on the initial phase factor corresponding to the preset number of iterations and the high-frequency excitation in the result of the previous iteration; According to P γ The operator space projects the high-frequency array pattern corresponding to the preset iteration, obtains the expected high-frequency array pattern corresponding to the next iteration of the preset iteration, and obtains the high-frequency excitation corresponding to the preset iteration based on the expected high-frequency array pattern corresponding to the next iteration; The sparsity rate and sidelobe level values ​​corresponding to the preset iteration are obtained according to the high-frequency array pattern corresponding to the preset iteration and the decision matrix, and the initial phase factor, high-frequency array pattern, high-frequency excitation, sparsity rate and sidelobe level values ​​are combined as the preset iteration result.

4. The method according to claim 1, characterized in that: The preset sparse method includes a neighboring sampling probability density sparse method.

5. The method according to claim 1, characterized in that The basis for uniformly arranging the low frequency array includes the low frequency band unit spacing and the number of low frequency band units in the low frequency array.

6. The method according to claim 1, characterized in that The uniform arrangement includes a rectangular arrangement.

7. The method according to claim 1, characterized in that The method used to find out the side lobe area corresponding to the high-frequency initial arrangement includes a full-neighborhood seed growing method.

8. A dual-band dual-sparse low sidelobe antenna array integrated device, characterized in that: include: A low-frequency sparse module is used to evenly arrange the low-frequency array in a preset aperture space to obtain an arranged low-frequency array, and to sparse the low-frequency array using a preset sparse method to obtain a sparse low-frequency array; A high-frequency arrangement module, used to arrange the high-frequency array non-uniformly in the remaining space of the preset aperture space except the space occupied by the sparse low-frequency array, so as to obtain an initial high-frequency array pattern and find the side lobe area corresponding to the initial high-frequency array pattern; A high-frequency sparse module is used to perform multiple high-frequency array arrangement iterations based on the initial high-frequency array pattern using an alternating projection sparse array algorithm to obtain a final iteration result, and select the high-frequency array arrangement in the final iteration result as the target high-frequency array arrangement; Among them, each iteration result includes the initial phase factor, high-frequency array arrangement, high-frequency excitation, sparsity rate and sidelobe level value corresponding to the number of iterations, and the sparsity rate in the final iteration result is greater than or equal to the target sparsity rate threshold and the sidelobe level value is less than or equal to the target level threshold.

9. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the dual-band dual-sparse low sidelobe antenna array synthesis method described in any one of claims 1 to 7 is implemented.

10. A terminal, characterized in that: It includes a processor and a memory, and the memory is communicatively connected to the processor; the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the terminal executes the dual-band dual sparse low sidelobe antenna array synthesis method as described in any one of claims 1 to 7.

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