Sidelobe suppression optimization method, device and equipment for phased-array antenna, medium and product

Abstract

The invention provides a phased-array antenna side lobe suppression optimization method, device, equipment, medium and product, and the method comprises the steps: generating a plurality of array element amplitude schemes, each array element amplitude scheme comprising an amplitude design value of each array element in a phased-array antenna; performing global optimization on the array element amplitude scheme based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme, the fitness function value of the array element amplitude scheme reflecting a sidelobe suppression effect corresponding to the array element amplitude scheme; and controlling the amplitude of each array element in the phased-array antenna based on the target array element amplitude scheme. According to the invention, phased-array antenna sidelobe suppression suitable for engineering practice can be realized.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a phased array antenna sidelobe suppression optimization method, device, equipment, medium and product. Background Art

[0002] Lower sidelobe levels can effectively improve the signal-to-noise ratio, reduce the impact of clutter signals outside the main beam, improve the anti-interference ability of the entire system, and effectively improve the communication quality. In engineering practice, since the signal synthesis adopts the Wilkinson circuit, the small signal synthesis line is narrow and the processing accuracy is high. At the same time, the non-equal power synthesis has a large power difference, which will affect the synthesis efficiency. In addition, the chip processing technology is limited in engineering implementation, so the amplitude change range must be controlled within 20dB.

[0003] Taylor weighting and Chebyshev weighting are usually used to achieve the purpose of sidelobe suppression. However, these two methods have some limitations and challenges in practical engineering. The amplitude excitation variation range required by Taylor and Chebyshev distribution is often too large to be controlled within 20dB. The existing phased array antenna sidelobe suppression method is difficult to implement in engineering practice. Summary of the invention

[0004] The present invention provides a phased array antenna sidelobe suppression optimization method, device, equipment, medium and product to solve the defect that the phased array antenna sidelobe suppression method in the prior art is difficult to implement in engineering practice, and realizes phased array antenna sidelobe suppression suitable for engineering practice.

[0005] The present invention provides a phased array antenna sidelobe suppression optimization method, comprising: Generate a plurality of array element amplitude schemes, each of which includes an amplitude design value of each array element in the phased array antenna; performing global optimization on the array element amplitude scheme based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme, wherein the fitness function value of the array element amplitude scheme reflects a sidelobe suppression effect corresponding to the array element amplitude scheme; The amplitude of each array element in the phased array antenna is controlled based on the target array element amplitude scheme.

[0006] According to a phased array antenna sidelobe suppression optimization method provided by the present invention, the global optimization of the multiple array element amplitude schemes based on the fitness function value of the array element amplitude scheme is performed to obtain a target array element amplitude scheme, including: Adding at least one of the array element amplitude schemes to an empty set to form a set to be optimized; Determine the array element amplitude scheme to be optimized based on the optimal array element amplitude scheme in the set to be optimized, wherein the optimal array element amplitude scheme in the set to be optimized is the array element amplitude scheme with the optimal fitness function value in the set to be optimized; Generate a first random number, and based on the first random number and the array element amplitude scheme to be optimized, generate a new array element amplitude scheme and add the scheme to the set to be optimized; Iteratively executing the step of determining a target array element amplitude scheme based on the array element amplitude scheme with the best corresponding fitness function value in the set to be optimized, until the number of iterations reaches a preset maximum number of iterations; The optimal array element amplitude scheme in the set to be optimized when the iteration stops is used as the target array element amplitude scheme.

[0007] According to a phased array antenna sidelobe suppression optimization method provided by the present invention, the determining of the array element amplitude scheme to be optimized based on the optimal array element amplitude scheme in the set to be optimized includes: A second random number is generated, and based on the second random number, the array element amplitude scheme to be optimized is searched in a neighborhood of the optimal array element amplitude scheme in the set to be optimized, wherein the fitness function value corresponding to the array element amplitude scheme to be optimized is at least not worse than the optimal array element amplitude scheme in the set to be optimized.

[0008] According to a phased array antenna sidelobe suppression optimization method provided by the present invention, generating a new array element amplitude scheme based on the first random number and the array element amplitude scheme to be optimized includes: Determine an inertia weight factor based on a ratio of a current number of iterations to the preset maximum number of iterations, wherein the inertia weight factor is positively correlated with the number of iterations; When the first random number is located on a first side of the middle value of the random range, searching for a new array element amplitude scheme in a spiral search path based on the array element amplitude scheme to be optimized and the inertia weight factor; When the first random number is located on the second side of the middle value of the random range, a third random number is generated, a convergence factor is determined based on a ratio of a current number of iterations to the preset maximum number of iterations and the third random number, when an absolute value of the convergence factor is not less than 1, a new array element amplitude scheme is generated based on the array element amplitude scheme to be optimized and the inertia weight factor, and when an absolute value of the convergence factor is less than 1, a new array element amplitude scheme is generated based on a random array element amplitude scheme in the set to be optimized and the inertia weight factor.

[0009] According to a phased array antenna sidelobe suppression optimization method provided by the present invention, before searching for a new array element amplitude scheme based on the array element amplitude scheme to be optimized and the inertia weight factor in a spiral search path, the method includes: Determine the helix curvature coefficient based on the current iteration number; determining the spiral search path based on the spiral curvature coefficient; The number of iterations is negatively correlated with the arc of the spiral search path.

[0010] According to a phased array antenna sidelobe suppression optimization method provided by the present invention, the fitness function value of the array element amplitude scheme is calculated based on a second preset formula, and the second preset formula is: ; in, represents the gain of the main lobe pointing angle corresponding to the array element amplitude scheme, represents the preset target value of the gain for the main lobe pointing angle, represents the maximum sidelobe level corresponding to the array element amplitude scheme, represents the preset target value of the maximum sidelobe level, , is the weight coefficient.

[0011] The present invention also provides a phased array antenna sidelobe suppression optimization device, comprising: A scheme generating module, used to generate a plurality of array element amplitude schemes, each of which includes an amplitude design value of each array element in the phased array antenna; An optimization module, used for performing global optimization on the array element amplitude scheme based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme, wherein the fitness function value of the array element amplitude scheme reflects the sidelobe suppression effect corresponding to the array element amplitude scheme; A control module is used to control the amplitude of each array element in the phased array antenna based on the target array element amplitude scheme.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the phased array antenna sidelobe suppression optimization method as described above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the phased array antenna sidelobe suppression optimization method as described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for optimizing sidelobe suppression of a phased array antenna as described above is implemented.

[0015] The phased array antenna sidelobe suppression optimization method, device, equipment, medium and product provided by the present invention generate multiple array element amplitude schemes, each array element amplitude scheme includes the amplitude design value of each array element in the phased array antenna, perform global optimization based on the fitness function value of the array element amplitude scheme, obtain the target array element amplitude scheme, the fitness function value of the array element amplitude scheme reflects the sidelobe suppression effect corresponding to the array element amplitude scheme, and control the amplitude of each array element in the phased array antenna based on the target array element amplitude scheme. The global optimization method can comprehensively consider multiple array element amplitude schemes to find a more optimal array element amplitude distribution to meet the performance requirements and limitations in engineering practice. Therefore, it can effectively overcome the amplitude variation range limitation problem faced by the Taylor and Chebyshev synthesis methods in the prior art, and realize phased array antenna sidelobe suppression suitable for engineering practice. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is one of the flow charts of the phased array antenna sidelobe suppression optimization method provided by the present invention.

[0018] Figure 2 This is the second flow chart of the phased array antenna sidelobe suppression optimization method provided by the present invention.

[0019] Figure 3 It is a planar phased array model diagram in the phased array antenna sidelobe suppression optimization method provided by the present invention.

[0020] Figure 4 It is a model diagram of a single array element of a planar phased array in the phased array antenna sidelobe suppression optimization method provided by the present invention.

[0021] Figure 5 It is the single element radiation pattern of the planar phased array in the phased array antenna sidelobe suppression optimization method provided by the present invention.

[0022] Figure 6 This is a real picture of a 64-element array antenna in a simulation experiment of the phased array antenna sidelobe suppression optimization method provided by the present invention.

[0023] Figure 7It is a schematic diagram of the array element positions of a 64-element planar phased array antenna in a simulation experiment of the phased array antenna sidelobe suppression optimization method provided by the present invention.

[0024] Figure 8 It is a block diagram of an amplitude phase control chip in a simulation experiment of a phased array antenna sidelobe suppression optimization method provided by the present invention.

[0025] Fig. 9 The effect of the phased array antenna sidelobe suppression optimization method provided by the present invention is shown in FIG. Figure 1 .

[0026] Fig.10 The effect of the phased array antenna sidelobe suppression optimization method provided by the present invention is shown in FIG. Figure 2 .

[0027] Fig.11 The effect of the phased array antenna sidelobe suppression optimization method provided by the present invention is shown in FIG. Figure 3 .

[0028] Fig.12 The effect of the phased array antenna sidelobe suppression optimization method provided by the present invention is shown in FIG. Figure 4 .

[0029] Fig.13 The effect of the phased array antenna sidelobe suppression optimization method provided by the present invention is shown in FIG. Figure 5 .

[0030] Fig.14 It is a structural schematic diagram of a phased array antenna sidelobe suppression optimization device provided by the present invention.

[0031] Fig.15 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Combine the following Figure 1-Figure 13 The phased array antenna sidelobe suppression optimization method provided by the present invention is described. Figure 1 As shown, the phased array antenna sidelobe suppression optimization method includes the steps of: S110, generating multiple array element amplitude schemes, each array element amplitude scheme including an amplitude design value of each array element in the phased array antenna; S120, performing global optimization on the array element amplitude scheme based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme, wherein the fitness function value of the array element amplitude scheme reflects the sidelobe suppression effect corresponding to the array element amplitude scheme; S130. Control the amplitude of each array element in the phased array antenna based on the target array element amplitude scheme.

[0034] Phased array antennas are used in communications in many scenarios (such as Ka-band unmanned submarine stations, etc.). Lower sidelobe levels can effectively improve the signal-to-noise ratio, reduce the impact of clutter signals outside the main beam, improve the anti-interference ability of the entire system, and effectively improve communication quality. When optimizing the maximum sidelobe level (MSLL) of the phased array antenna's pattern, in the array antenna pattern synthesis room, if the antenna is only synthesized by adjusting the phase, in many cases the resulting pattern does not meet the design index requirements. Therefore, in this case, the amplitude of the array element needs to be adjusted. The method provided by the present invention generates multiple array element amplitude schemes, each array element amplitude scheme includes the amplitude design value of each array element in the phased array antenna, performs global optimization based on the fitness function value of the array element amplitude scheme, obtains the target array element amplitude scheme, the fitness function value of the array element amplitude scheme reflects the sidelobe suppression effect corresponding to the array element amplitude scheme, and controls the amplitude of each array element in the phased array antenna based on the target array element amplitude scheme. The global optimization method can comprehensively consider multiple array element amplitude schemes to find a more optimal array element amplitude distribution to meet the performance requirements and the limitations in engineering practice, so that the amplitude variation range limitation problem faced by the Taylor and Chebyshev synthesis methods in the prior art can be effectively overcome, and the sidelobe suppression of the phased array antenna suitable for engineering practice can be achieved.

[0035] Specifically, a global optimization is performed on multiple array element amplitude schemes based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme, including: Adding at least one array element amplitude scheme to the empty set to form a set to be optimized; Based on the optimal array element amplitude scheme in the set to be optimized, determining the array element amplitude scheme to be optimized, the optimal array element amplitude scheme in the set to be optimized being the array element amplitude scheme with the optimal corresponding fitness function value in the set to be optimized; Generate a first random number, and based on the first random number and the array element amplitude scheme to be optimized, generate a new array element amplitude scheme and add it to the set to be optimized; Iteratively executing the step of determining the target array element amplitude scheme based on the array element amplitude scheme with the best corresponding fitness function value in the set to be optimized, until the number of iterations reaches a preset maximum number of iterations; The optimal array element amplitude scheme in the set to be optimized when the iteration stops is used as the target array element amplitude scheme.

[0036] In the method provided by the present invention, the optimal array element amplitude scheme is obtained as much as possible by generating multiple array element amplitude schemes and performing global search.

[0037] In a possible implementation of the method provided by the present invention, the current optimal array element amplitude scheme can be set as the iteration target in each iteration process. In each subsequent iteration, the current array element amplitude scheme will be updated only when a better solution appears, that is, the optimal array element amplitude scheme in the set to be optimized can be directly used as the array element amplitude scheme to be optimized. However, this mechanism will result in a high probability that the optimal array element amplitude scheme will not be updated in the later iteration process, which reduces the search efficiency. Therefore, in another possible implementation, the optimal neighborhood perturbation strategy is introduced to address this problem, that is, based on the optimal array element amplitude scheme in the set to be optimized, the array element amplitude scheme to be optimized is determined, including: A second random number is generated, and based on the second random number, an array element amplitude scheme to be optimized is searched in a neighborhood of the optimal array element amplitude scheme in the set to be optimized, wherein a fitness function value corresponding to the array element amplitude scheme to be optimized is at least not worse than the optimal array element amplitude scheme in the set to be optimized.

[0038] Specifically, the specific formula for generating field disturbance for the current optimal array element amplitude scheme is as follows: (1)

[0039] Where: is a new array element amplitude scheme found in the neighborhood of the current optimal array element amplitude scheme; and is the second random number, where is a Gaussian random number; Used to limit the range of Gaussian random numbers to between; for A random number between .

[0040] After determining the new array element amplitude scheme, determine whether to keep it or not by the following expression: (2)

[0041] Where: Represents the array element amplitude scheme If the fitness value of the new array element amplitude scheme found is better than the current optimal array element amplitude scheme, the new array element amplitude scheme found is used as the array element amplitude scheme to be optimized. Otherwise, the current optimal array element amplitude scheme is retained as the array element amplitude scheme to be optimized.

[0042] Through the optimal neighborhood perturbation strategy, after each iteration, the neighborhood of the current optimal array element amplitude solution will be searched again to determine a better global optimal solution. This is of great significance to accelerating convergence and is also beneficial to avoiding premature convergence.

[0043] Based on the first random number and the array element amplitude scheme to be optimized, a new array element amplitude scheme is generated, including: An inertia weight factor is determined based on the ratio of the current number of iterations to the preset maximum number of iterations, and the inertia weight factor is positively correlated with the number of iterations; When the first random number is located on a first side of the middle value of the random range, searching for a new array element amplitude scheme in a spiral search path based on the array element amplitude scheme to be optimized and the inertia weight factor; When the first random number is located on the second side of the middle value of the random range, a third random number is generated, and a convergence factor is determined based on a ratio of a current number of iterations to a preset maximum number of iterations and the third random number; when the convergence factor is not less than 1, a new array element amplitude scheme is generated based on the array element amplitude scheme to be optimized and the inertia weight factor; when the convergence factor is less than 1, a new array element amplitude scheme is generated based on a random array element amplitude scheme in the set to be optimized and the inertia weight factor.

[0044] In the method provided by the present invention, the inertia weight factor is added to the generation formula of the new array element amplitude scheme. In the iterative process, the correlation between the newly generated array element amplitude scheme and the current optimal array element amplitude scheme is appropriately reduced in the initial stage, which can increase the global search capability and gradually improve the influence of the current optimal array element amplitude scheme after multiple iterations, so that it can converge to the optimum faster and improve the convergence speed.

[0045] In a possible implementation, the specific expression of the inertia weight factor is as follows: (3)

[0046] in, is the inertia weight factor, t is the current iteration number, The preset maximum number of iterations.

[0047] In one implementation of the method provided by the present invention, the overall flow chart of global optimization of the array amplitude scheme is as follows: Figure 2 As shown. Figure 2 As shown, when the first random number P is located on the second side of the middle value in the random range (for example, the random range is 0-1, and P is less than 0.5), the convergence factor is first determined, and the calculation formula of the convergence factor is: , , r is a random number uniformly distributed in the range [0,1]. If the absolute value of the convergence factor A is not less than 1, the generation formula of the new array element amplitude scheme is as follows: (4)

[0048] in, , , is the current optimal array element amplitude solution, is the array element amplitude solution generated in this iteration, It is the array element amplitude solution generated in the previous iteration.

[0049] If the absolute value of the convergence factor A is less than 1, the generation formula of the new array element amplitude scheme is as follows: (5)

[0050] in, Represents a random array element amplitude scheme in the current set to be optimized.

[0051] When the first random number P is located on the first side of the middle value in the random range (for example, the random range is 0-1, and P is greater than 0.5), a new array element amplitude scheme is searched for in a spiral search path based on the array element amplitude scheme to be optimized and the inertia weight factor.

[0052] The process of searching for a new array element amplitude scheme in a spiral path can be expressed as: (6)

[0053] Among them, b is the spiral curvature coefficient, which controls the curvature of the spiral path. is a random number in the range [-1,1].

[0054] In one possible implementation, when searching for a new array element amplitude scheme with a spiral search path, the spiral curvature of the spiral path can be fixed, that is, b is fixed. However, the corresponding movement mode in this mode is single, which will reduce the global search performance. In another possible implementation of the method provided by the present invention, dynamic adjustment is performed from the curvature of the spiral path, which is conducive to searching the position area and calmly and effectively avoiding the problem of falling into the local optimum. Specifically, based on the array element amplitude scheme to be optimized and the inertia weight factor, before searching for a new array element amplitude scheme with a spiral search path, it includes: Determine the helix curvature coefficient based on the current iteration number; Determining a spiral search path based on a spiral curvature coefficient; The number of iterations is negatively correlated with the arc of the spiral search path.

[0055] The spiral curvature coefficient determined based on the current number of iterations can be expressed as: It can be seen that the spiral curvature coefficient changes with the number of iterations. The spiral curvature coefficient is designed as a variable that changes with the number of iterations, so as to dynamically adjust the curvature of the spiral search path. In the initial search, the curvature of the spiral search path is larger, so that the search range can be expanded, thereby improving the global optimal search capability. In the later stage of the search, searching for the target with a smaller spiral shape can improve the optimization accuracy.

[0056] For the array element amplitude schemes obtained during the optimization process, the fitness function value is used to determine its corresponding sidelobe suppression capability. Specifically, consider a planar phased array composed of N array elements, such as Figure 3 As shown, its far-field radiation pattern expression is as follows:

[0057] in, is the unit pattern function, , is the wavelength, is the coordinate position of the nth array element, is the amplitude excitation factor and phase excitation factor of the corresponding array element.

[0058] Since the amplitude control intelligence is limited to 20dB during antenna RF design, the amplitude variation range needs to be constrained within 20dB during the amplitude modulation process. This constraint can be met by screening the array element amplitude scheme within a variation range of 20dB. The optimization goal is to achieve the purpose of sidelobe suppression only by optimizing the amplitude of the excitation. The calculation formula of the fitness function value can be set as: ;in, represents the gain of the main lobe pointing angle corresponding to the array element amplitude scheme, represents the preset target value of the gain for the main lobe pointing angle, represents the maximum sidelobe level corresponding to the array element amplitude scheme, represents the preset target value of the maximum sidelobe level, , is the weight coefficient.

[0059] The method provided by the present invention can comprehensively consider the entire antenna array system to find the best excitation amplitude distribution through global optimization to meet the performance requirements and the limitations in engineering practice. Through global optimization, the amplitude variation range limitation problem faced by Taylor and Chebyshev synthesis methods can be effectively overcome. In addition, the power distribution can be better controlled in the case of non-equal power synthesis to improve the synthesis efficiency.

[0060] After obtaining the target array element amplitude scheme, the fixed excitation phase value and the excitation amplitude value in the target array element amplitude scheme are input into the corresponding array elements through digital phase shifters and attenuators respectively to complete the directional pattern synthesis of the phased array antenna.

[0061] Based on the method provided by the present invention, the effectiveness of the method is verified by simulation experiments. In the design process of phased array antennas, attenuators are used to control the amplitude of array elements. Therefore, if the number of array elements is too large, the number of attenuators used will increase during the amplitude modulation process, and the process will be too difficult. A 64-element planar array is used for simulation, and the frequency is set to 30 GHz. The unit antenna uses a traditional single-layer microstrip antenna and coaxial feeding method. The radiating patch is nearly square and has a length of half a wavelength. The corners are cut symmetrically at the center of the patch to make the antenna radiate circularly polarized. The simulation results show that the antenna has an axial ratio of 0.3dB and a gain of 7.5dBi at the center frequency, has good circularly polarized radiation characteristics, and meets the performance requirements of the array unit antenna. The design schematic of the antenna unit is shown in the figure. Figure 4 As shown, the radiation pattern is Figure 5 As shown; the actual phased array antenna is as follows Figure 6 As shown; the array arrangement and array element numbering are as follows Figure 7 shown.

[0062] In actual engineering projects, beamforming requires precise control of the amplitude of each array element to ensure accurate beam pointing and optimal performance. Based on the project design requirements, in order to avoid excessive signal power differences while maintaining the stability and accuracy of the beam, the amplitude variation range of the array element must be controlled within 20 dB. For this purpose, a two-stage amplitude and phase control chip is designed. The core part of the chip includes a 6-bit digital attenuator, which can control the amplitude within a range of 20 dB. At the same time, the chip integrates a variety of functional blocks, including a 6-bit phase shifter, a 6-bit attenuator, a gain module, a power divider, a series-parallel converter, and a power modulation circuit. The collaborative work of these functional blocks enables the chip to achieve complex beamforming tasks. The 6-bit phase shifter is used to adjust the phase of the array element to achieve beam direction control, while the 6-bit digital attenuator is responsible for accurately controlling the amplitude of the array element. The gain module is used to adjust the gain of the signal to adapt to different signal strength requirements, and the power divider ensures that the signal can be evenly distributed to each array element. The series-parallel converter is used to convert digital signals into analog signals to meet specific application requirements, while the power modulation circuit is used to perform additional modulation processing on the signal. Figure 8 As shown in the figure. The chip design allows the system to support multiple beams simultaneously, thereby improving the flexibility and performance of the system. Each beam chip follows similar architecture and functional principles, but can work independently to meet different communication requirements.

[0063] In actual engineering implementation, since the minimum amplitude attenuation step of the chip is limited to 0.5 dB, the algorithm results obtained after each iteration need to be quantized. This step ensures that the final solution is feasible and can be implemented in actual engineering. After quantization, the discretized result is regarded as the required solution, and then gradually optimized through multiple continuous iterations to obtain the optimal solution. The target array element amplitude scheme in the method provided by the present invention is then used as input, and a 6-bit digital attenuator is used to achieve amplitude control. This digital attenuator can adjust the signal strength according to the input amplitude value to achieve the required beamforming. The beamformer receives instructions from the algorithm through the beam control interface, and then adjusts the excitation amplitude of each array element accordingly to generate the desired beam. The amplitude distribution corresponding to each array element obtained after optimization by the method provided by the present invention is shown in Table 1. The array element excitation distribution can ensure that the final beamforming has the best performance in the expected signal direction.

[0064] Table 1

[0065] Based on the above verification settings, the genetic (GA) algorithm, particle swarm (PSO) algorithm, differential evolution (DE) algorithm, invasive weed (IWO) algorithm, meerkat (MOA) algorithm and standard whale optimization (WOA) algorithm and the method provided by the present invention are used to optimize the sidelobe suppression. During the optimization process, only the amplitude is optimized and adjusted, and the amplitude variation range is constrained to be within 20dB. The corresponding two-dimensional antenna pattern after optimization is as follows: Fig. 9 As shown, the maximum sidelobe of the directional pattern without amplitude modulation is -11.05 dB, while the maximum sidelobe level of the directional pattern obtained after optimization by the method provided by the present invention is -22.87 dB, which proves that the method provided by the present invention is effective for sidelobe suppression antenna synthesis.

[0066] Fig.10 The left side is the three-dimensional antenna pattern before optimization, and the right side is the three-dimensional antenna pattern synthesized after optimization by the method provided by the present invention. By comparing the three-dimensional patterns, the sidelobe suppression effect after optimization can be observed more intuitively. At the same time, in order to eliminate the randomness in the algorithm solving process, 20 independent simulation experiments were carried out using the above 7 methods, and the optimal value, average value and variance statistics of the simulation results are shown in Table 2. After optimization by the method provided by the present invention, the optimal MSLL is -23.09 dB, the worst MSLL is -22.53 dB, and the standard deviation of the 20 experiments is 0.25. By comparing with other algorithms in Table 2, it can be seen that the method provided by the present invention has superior performance in terms of optimization results and robustness.

[0067] Table 2

[0068] The above simulation optimization model is based on MATLAB, so the coupling factor between array elements is not considered. Therefore, electromagnetic simulation experiments must be carried out to determine whether the proposed optimization scheme can successfully optimize the maximum sidelobe level in the presence of coupling. Further electromagnetic simulation experiments are carried out using HFSS electromagnetic software. The amplitude excitation obtained by the algorithm optimization in MATLAB is input into the 64-element planar array antenna model designed by HFSS software for further simulation experiments.

[0069] Fig.11 The left side is a comparison chart of the two-dimensional beam optimization effects of the 0° section obtained by various methods through electromagnetic simulation experiments. The first sidelobe level after optimization by the method provided by the present invention is -18.03dB, and the second sidelobe level is -22.2dB. Fig.11 The right side is a comparison chart of the two-dimensional beam optimization effect of the 90° section. The first sidelobe level after optimization by the method provided by the present invention is -18.71dB, and the second sidelobe level is -19.5dB. Obviously, compared with other optimization algorithms, the directional diagram obtained after optimization by the method provided by the present invention has the best sidelobe suppression performance. After adding coupling, the sidelobe suppression effect of the HFSS simulation result is somewhat deteriorated compared with the MATLAB simulation result, but both simulation results prove the effectiveness of the method provided by the present invention. Fig.12 and Fig.13 They are three-dimensional waveform diagrams of the 64-element phased array antenna before optimization and after optimization using the method provided by the present invention, which more intuitively demonstrate the sidelobe suppression effect.

[0070] The above-mentioned MATLAB simulation experiments and HFSS simulation experiments have proved the superiority and effectiveness of the method provided by the present invention in processing the synthesis of low sidelobe array antenna patterns based on amplitude constraints.

[0071] The phased array antenna side lobe suppression optimization device provided by the present invention is described below. The phased array antenna side lobe suppression optimization device described below and the phased array antenna side lobe suppression optimization method described above can be referred to each other. Fig.14 As shown, the phased array antenna sidelobe suppression optimization device provided by the present invention includes: A scheme generating module 1410 is used to generate a plurality of array element amplitude schemes, each array element amplitude scheme including an amplitude design value of each array element in the phased array antenna; An optimization module 1420 is used to perform global optimization on the array element amplitude scheme based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme, wherein the fitness function value of the array element amplitude scheme reflects the sidelobe suppression effect corresponding to the array element amplitude scheme; The control module 1430 is used to control the amplitude of each array element in the phased array antenna based on the target array element amplitude scheme.

[0072] Fig.15 An example of a physical structure diagram of an electronic device is shown in FIG. Fig.15 As shown, the electronic device may include: a processor 1510, a communication interface 1520, a memory 1530 and a communication bus 1540, wherein the processor 1510, the communication interface 1520 and the memory 1530 communicate with each other through the communication bus 1540. The processor 1510 may call the logic instructions in the memory 1530 to execute the phased array antenna sidelobe suppression optimization method, the method comprising: generating multiple array element amplitude schemes, each array element amplitude scheme including the amplitude design value of each array element in the phased array antenna; performing global optimization on the array element amplitude scheme based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme, the fitness function value of the array element amplitude scheme reflects the sidelobe suppression effect corresponding to the array element amplitude scheme; and controlling the amplitude of each array element in the phased array antenna based on the target array element amplitude scheme.

[0073] In addition, the logic instructions in the above-mentioned memory 1530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0074] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the phased array antenna sidelobe suppression optimization method provided by the above methods, the method including: generating multiple array element amplitude schemes, each array element amplitude scheme including the amplitude design value of each array element in the phased array antenna; performing global optimization on the array element amplitude scheme based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme, the fitness function value of the array element amplitude scheme reflects the sidelobe suppression effect corresponding to the array element amplitude scheme; and controlling the amplitude of each array element in the phased array antenna based on the target array element amplitude scheme.

[0075] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the processor executes the phased array antenna sidelobe suppression optimization method provided by the above methods, the method comprising: generating multiple array element amplitude schemes, each array element amplitude scheme including the amplitude design value of each array element in the phased array antenna; performing global optimization on the array element amplitude scheme based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme, the fitness function value of the array element amplitude scheme reflects the sidelobe suppression effect corresponding to the array element amplitude scheme; and controlling the amplitude of each array element in the phased array antenna based on the target array element amplitude scheme.

[0076] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0077] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0078] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A phased array antenna sidelobe suppression optimization method, characterized in that: include: Generate a plurality of array element amplitude schemes, each of which includes an amplitude design value of each array element in the phased array antenna; performing global optimization on the array element amplitude scheme based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme, wherein the fitness function value of the array element amplitude scheme reflects a sidelobe suppression effect corresponding to the array element amplitude scheme; The amplitude of each array element in the phased array antenna is controlled based on the target array element amplitude scheme.

2. The phased array antenna sidelobe suppression optimization method according to claim 1, characterized in that: The globally optimizing the multiple array element amplitude schemes based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme includes: Adding at least one of the array element amplitude schemes to an empty set to form a set to be optimized; Determine the array element amplitude scheme to be optimized based on the optimal array element amplitude scheme in the set to be optimized, wherein the optimal array element amplitude scheme in the set to be optimized is the array element amplitude scheme with the optimal fitness function value in the set to be optimized; Generate a first random number, and based on the first random number and the array element amplitude scheme to be optimized, generate a new array element amplitude scheme and add the scheme to the set to be optimized; Iteratively executing the step of determining a target array element amplitude scheme based on the array element amplitude scheme with the best corresponding fitness function value in the set to be optimized, until the number of iterations reaches a preset maximum number of iterations; The optimal array element amplitude scheme in the set to be optimized when the iteration stops is used as the target array element amplitude scheme.

3. The phased array antenna sidelobe suppression optimization method according to claim 2, characterized in that: The determining the array element amplitude scheme to be optimized based on the optimal array element amplitude scheme in the set to be optimized includes: A second random number is generated, and based on the second random number, the array element amplitude scheme to be optimized is searched in a neighborhood of the optimal array element amplitude scheme in the set to be optimized, wherein the fitness function value corresponding to the array element amplitude scheme to be optimized is at least not worse than the optimal array element amplitude scheme in the set to be optimized.

4. The phased array antenna sidelobe suppression optimization method according to claim 2, characterized in that: The generating a new array element amplitude scheme based on the first random number and the array element amplitude scheme to be optimized includes: Determine an inertia weight factor based on a ratio of a current number of iterations to the preset maximum number of iterations, wherein the inertia weight factor is positively correlated with the number of iterations; When the first random number is located on a first side of the middle value of the random range, searching for a new array element amplitude scheme in a spiral search path based on the array element amplitude scheme to be optimized and the inertia weight factor; When the first random number is located on the second side of the middle value of the random range, a third random number is generated, a convergence factor is determined based on a ratio of a current number of iterations to the preset maximum number of iterations and the third random number, when an absolute value of the convergence factor is not less than 1, a new array element amplitude scheme is generated based on the array element amplitude scheme to be optimized and the inertia weight factor, and when an absolute value of the convergence factor is less than 1, a new array element amplitude scheme is generated based on a random array element amplitude scheme in the set to be optimized and the inertia weight factor.

5. The phased array antenna sidelobe suppression optimization method according to claim 4, characterized in that: Before searching for the new array element amplitude scheme based on the array element amplitude scheme to be optimized and the inertia weight factor in a spiral search path, the method includes: Determine the helix curvature coefficient based on the current iteration number; determining the spiral search path based on the spiral curvature coefficient; The number of iterations is negatively correlated with the arc of the spiral search path.

6. The phased array antenna sidelobe suppression optimization method according to claim 1, characterized in that: The fitness function value of the array element amplitude scheme is calculated based on a second preset formula, and the second preset formula is: ； in, represents the gain of the main lobe pointing angle corresponding to the array element amplitude scheme, represents the preset target value of the gain for the main lobe pointing angle, represents the maximum sidelobe level corresponding to the array element amplitude scheme, represents the preset target value of the maximum sidelobe level, , is the weight coefficient.

7. A phased array antenna sidelobe suppression optimization device, characterized in that: include: A scheme generating module, used to generate a plurality of array element amplitude schemes, each of which includes an amplitude design value of each array element in the phased array antenna; An optimization module, used for performing global optimization on the array element amplitude scheme based on the fitness function value of the array element amplitude scheme to obtain a target array element amplitude scheme, wherein the fitness function value of the array element amplitude scheme reflects the sidelobe suppression effect corresponding to the array element amplitude scheme; A control module is used to control the amplitude of each array element in the phased array antenna based on the target array element amplitude scheme.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the phased array antenna sidelobe suppression optimization method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the phased array antenna sidelobe suppression optimization method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the phased array antenna sidelobe suppression optimization method according to any one of claims 1 to 6 is implemented.

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