Method, apparatus and medium for inter-beam interference assessment
By constructing array factors and calculating correlation ratios, the inter-beam interference intensity is quantized and sorted, solving the problem of insufficient interference quantization in digital phased array systems and improving the system's interference suppression effect and demodulation performance of high-order modulated signals.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUNAN SIBEITU TECH CO LTD
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-21
Smart Images
Figure CN122437619A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of wireless communication technology, and in particular to a method, apparatus, device, and medium for assessing inter-beam interference. Background Technology
[0002] Phased array antenna technology is one of the core technologies in the field of wireless communication and detection. By precisely controlling the signal amplitude and phase of multiple antenna elements, it can achieve directional beamforming and flexible scanning, concentrating electromagnetic energy in the target-pointing area and significantly improving the effective transmission distance and the signal-to-noise ratio. However, due to the physical characteristics of the antenna array, phased array antennas will still have a certain degree of electromagnetic energy radiation in areas outside the target's pointing direction. They can only achieve significant energy attenuation and cannot completely eliminate signal transmission in non-target directions.
[0003] In traditional analog phased array systems, beams pointing in different directions typically operate at independent frequencies. Frequency isolation physically suppresses signal interference between beams, making inter-beam interference at the receiver negligible and ensuring good signal transmission quality when multiple beams operate simultaneously. However, with the rapid development of digital signal processing technology, digital phased array technology, with its greater beam control flexibility and stronger multi-beam parallel processing capabilities, has gradually become the mainstream development direction in the industry. But in digital phased array systems, all beams operating in parallel share the same operating frequency band, leaving no available frequency isolation space. This means that mutual interference between different beams at the receiver cannot be eliminated using traditional methods. This interference directly raises the noise floor at the system receiver, especially for signals with high-order modulation formats, severely impacting demodulation performance and even causing signals to fail to demodulate properly.
[0004] Current industry solutions largely focus on optimizing beamforming algorithms and designing interference suppression algorithms, but fail to propose an efficient, quantifiable assessment scheme for relative interference intensity between beams that can be directly implemented within a single device, specifically for multi-beam co-frequency scenarios in digital phased arrays. This results in the inability to accurately quantify and differentiate the interference levels between different beams during actual system design and optimization, and the lack of clear priority for resource allocation in interference suppression algorithms. Consequently, with limited system hardware and software resources, maximizing interference suppression effectiveness cannot be achieved, making it difficult to guarantee stable transmission of high-order modulated signals in multi-beam parallel scenarios. Summary of the Invention
[0005] Therefore, it is necessary to provide a method, apparatus, equipment, and medium for assessing inter-beam interference that can accurately quantify the relative interference intensity between multiple beams and realize interference priority ranking, in order to address the above-mentioned technical problems.
[0006] A method for assessing inter-beam interference, the method comprising: Step 1: Obtain the pointing angle of each beam in the multi-beam digital phased array and its corresponding amplitude and phase weights, wherein the amplitude and phase weights include amplitude weights and phase weights. Step 2: For any selected first beam and second beam, construct a first array factor based on the amplitude and phase weight of the first beam, and construct a second array factor based on the amplitude weight of the first beam and the pointing angle of the second beam. Step 3: Calculate the correlation value between the first array factor and the second array factor to obtain a first correlation value characterizing the coupling energy of the first beam in the pointing direction of the second beam; Step 4: Calculate the autocorrelation value of the first array factor and the array factor corresponding to the pointing direction of the first beam to obtain the second correlation value characterizing the main lobe energy of the first beam in its pointing direction. Step 5: Determine the relative interference intensity of the first beam to the second beam based on the ratio of the first correlation value to the second correlation value; Step 6: Traverse all different beam pairs and repeat steps 2 to 5 to obtain the relative interference intensity between all beams; Step 7: For each beam, sort the relative interference intensities of the other beams in descending order to obtain a relative interference intensity ranking table for each beam.
[0007] On the other hand, a multi-beam interference assessment device is also provided, comprising: The parameter acquisition module is used to acquire the pointing angle of each beam in the multi-beam digital phased array and its corresponding amplitude and phase weights, wherein the amplitude and phase weights include amplitude weights and phase weights. The array factor construction module is used to construct a first array factor based on the amplitude and phase weights of the first beam for any selected first beam and second beam, and to construct a second array factor based on the amplitude weights of the first beam and the pointing angle of the second beam. The first correlation value calculation module is used to calculate the correlation value between the first array factor and the second array factor to obtain a first correlation value characterizing the coupling energy of the first beam in the pointing direction of the second beam; The second correlation value calculation module is used to calculate the autocorrelation value of the first array factor and the array factor corresponding to the pointing direction of the first beam, so as to obtain the second correlation value characterizing the main lobe energy of the first beam in its pointing direction. The relative interference intensity determination module is used to determine the relative interference intensity of the first beam to the second beam based on the ratio of the first correlation value to the second correlation value. The full beam traversal calculation module is used to traverse all different beam pairs, repeatedly executing the process from the array factor construction module to the relative interference intensity determination module, to obtain the relative interference intensity between all beams; The relative interference intensity sorting module is used to sort the relative interference intensity of each beam in descending order, thereby obtaining a relative interference intensity sorting table for each beam.
[0008] In another aspect, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described inter-beam interference assessment method.
[0009] Furthermore, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the above-described inter-beam interference assessment method.
[0010] Compared with existing technologies, the multi-beam interference assessment method, apparatus, equipment, and medium provided by this invention have the following advantages: 1. For any two beams, a first array factor and a second array factor are constructed respectively. Then, the correlation value of the two array factors and the autocorrelation value of the first array factor are calculated. The ratio of the two is used to determine the relative interference intensity of the first beam on the second beam. This process is based entirely on mathematical calculations of the beam parameters of the digital phased array itself. It requires no additional actual measurement equipment and does not rely on external reference signals. It can directly and accurately quantify the interference strength between any two beams within a single device, filling the gap in existing technology that cannot quantify and distinguish interference between multiple beams at the same frequency.
[0011] 2. For each beam, sort the relative interference intensity of the other beams it receives in descending order to form a relative interference intensity ranking table for each beam. This ranking table clearly lists the order of other beams that cause the most interference to the current beam, making it easy to see which beam pairs need to be prioritized. When hardware and software resources are limited and it is not possible to implement interference suppression measures for all beams simultaneously, the strong interference beams ranked higher can be prioritized according to this ranking table, thereby obtaining the optimal interference suppression benefit under limited resource conditions.
[0012] 3. Through quantitative evaluation and priority ranking, subsequent interference suppression algorithms receive clear and quantifiable input, avoiding the low optimization efficiency caused by blindly allocating or evenly distributing resources due to the inability to distinguish between strong and weak interference in traditional schemes. Especially for communication systems employing high-order modulation, prioritizing the elimination of strong interference beams effectively suppresses the rise in the receiver's noise floor, ensuring the demodulation performance of high-order modulated signals when multiple beams operate in parallel at the same frequency, and significantly improving the overall transmission reliability and spectrum utilization efficiency of the system.
[0013] 4. The method proposed in this invention does not require iterative optimization, complex matrix inversion or adaptive filtering, has low computational load and high speed, and is easy to implement in real time in the digital signal processor or field programmable gate array of a single phased array machine without increasing additional hardware overhead, and has good engineering promotion value. Attached Figure Description
[0014] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention, and those skilled in the art can obtain other related drawings based on these drawings without creative effort.
[0015] Figure 1 This is a flowchart illustrating a multi-beam interference assessment method in one embodiment; Figure 2 This is a structural block diagram of a multi-beam interference assessment device in one embodiment; Figure 3 This is an internal structural diagram of a computer device in one embodiment.
[0016] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.
[0018] It should be noted that in this invention, the use of terms such as "first," "second," etc., is for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0019] It is understood that the technical solutions of the various embodiments of the present invention can be combined with each other, but only if they are based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.
[0020] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
[0021] Example 1 like Figure 1 As shown, a method for assessing inter-beam interference is provided, including the following steps: Step 1: Obtain the pointing angle of each beam in the multi-beam digital phased array and its corresponding amplitude and phase weights. The amplitude and phase weights include amplitude weights and phase weights.
[0022] Step 2: For any selected first beam and second beam, construct a first array factor based on the amplitude and phase weight of the first beam, and construct a second array factor based on the amplitude weight of the first beam and the pointing angle of the second beam.
[0023] Step 3: Calculate the correlation value between the first array factor and the second array factor to obtain the first correlation value characterizing the coupling energy of the first beam in the second beam pointing direction.
[0024] Step 4: Calculate the autocorrelation value of the first array factor and the array factor corresponding to the pointing direction of the first beam to obtain the second correlation value characterizing the main lobe energy of the first beam in its pointing direction. Step 5: Determine the relative interference intensity of the first beam to the second beam based on the ratio of the first correlation value to the second correlation value.
[0025] Step 6: Traverse all different beam pairs and repeat steps 2 to 5 to obtain the relative interference intensity between all beams.
[0026] Step 7: For each beam, sort the relative interference intensities of the other beams in descending order to obtain a relative interference intensity ranking table for each beam.
[0027] The aforementioned inter-beam interference assessment method achieves precise quantification of inter-beam interference intensity by acquiring the pointing angle and amplitude-phase weights of each beam, constructing two array factors for any beam pair, and calculating the ratio of correlation to autocorrelation. It also iterates through all beam pairs and generates a relative interference intensity ranking table for each beam, providing a clear priority basis for interference suppression under limited resources. This method is entirely based on arithmetic operations using the beam parameters of the digital phased array itself, requiring no additional measurement equipment, resulting in high computational efficiency and strong engineering applicability. It effectively solves the problems of inability to quantify and distinguish inter-beam interference intensity and lack of resource allocation priority in the prior art.
[0028] In step 1, the pointing angle is used to describe the radiation direction of the beam in space, including the off-axis angle. and azimuth The off-axis angle is the angle between the beam pointing direction and the array normal direction, and the azimuth angle is the angle between the projection of the beam pointing direction onto the array plane and the reference direction. Amplitude and phase weights are the core parameters for beam pointing control in digital phased arrays. The amplitude weight is used to adjust the radiated power of each array element, and the phase weight is used to adjust the phase of the radiated signal of each array element. By combining different amplitude and phase weights of array elements, a beam pointing in a specific direction can be formed.
[0029] In the specific implementation of step 1, the beam digital phased array adopts a uniform square array layout, which has OK Array elements, with an element spacing of [missing information]. The working signal wavelength is Furthermore, since the beamforming stage of the digital phased array has already completed the calculation and configuration of the amplitude and phase weights of each beam, this step can directly read the pointing angles and corresponding amplitude and phase weights of all beams to be evaluated from the beam control module of the phased array system, without the need for additional signal acquisition or measurement operations. Simultaneously, this step can also obtain the element radiation pattern characteristics of the phased array antenna, which can be used to correct the relative interference intensity calculation results to further improve the evaluation accuracy. The method for obtaining the element radiation pattern characteristics can be flexibly selected according to actual application requirements and computing power conditions. Preferably, an approximate fitting can be performed by constructing a step function based on actual beam pattern testing or simulation. If it is necessary to further improve the accuracy of the array factor, an array factor amplitude table can be constructed, and the array factor for the current beam pointing angle can be determined by looking up the table, or the array factor function can be approximated by fitting a higher-order function, and the array factor can be calculated directly in real time.
[0030] This step directly reuses the existing beam parameters of the phased array system without adding extra hardware overhead. It also provides multiple ways to obtain the radiation pattern characteristics of array elements, achieving a flexible balance between evaluation accuracy and computational complexity, and adapting to hardware platforms with different computing power.
[0031] In step 2, the array factor is a function describing the overall radiation direction characteristics of the antenna array composed of multiple array elements. It is determined by the amplitude and phase weights of each array element and reflects the energy radiation capability of the array in different directions. The first array factor corresponds to the array radiation characteristics of the first beam in its own pointing direction, and the second array factor corresponds to the array radiation characteristics of the first beam in the second beam pointing direction.
[0032] In the specific implementation of step 2, the radiation pattern of the phased array antenna consists of two parts: the array factor and the array array element. The radiation pattern function can be expressed as: ; In the formula, Represents the overall pattern function; Indicates the off-axis angle of the beam; Indicates the azimuth angle of the beam; The array factor function, also known as the radiation pattern function of an antenna element, is used to describe the radiation characteristics of a single element. The array factor describes the overall radiation direction characteristics of the array. Introducing the array factor function allows for better calculation of the energy attenuation characteristics of the beam at large angles, and the calculation can be simplified according to the actual application requirements and the actual array factor.
[0033] The beam pointing of a phased array antenna is achieved through amplitude and phase control of each array element. The signal can be represented as: ; In the formula, Indicates array element The signal; The phased array surface number 1 Line 1 The array elements of the column; Indicates array element The amplitude of the signal; It is the time-domain baseband signal of beam transmission; It is the array element The phase; Indicates the spacing between array elements; Indicates the signal wavelength.
[0034] Let the first beam be the beam The second beam is a beam Then the first array factor is in the array element The value at this location is: ; The second array factor is in the array element The value at this location is: ; In the formula, Indicates the first beam In the formation Amplitude and phase weights at the location; Indicates the first beam In the formation The magnitude weight at each location; Indicates the spacing between array elements; Indicates the signal wavelength; Indicates the first beam The off-axis angle; Indicates the first beam The azimuth angle; Indicates the first beam Second beam The array factor value at the pointing angle; Indicates the second beam The off-axis angle; Indicates the second beam The azimuth angle; The phased array surface number 1 Line 1 The array elements of the column.
[0035] The amplitude weight of the second array factor is consistent with that of the first beam, while only the phase weight is determined by the pointing angle of the second beam, so as to accurately characterize the radiation characteristics of the first beam in the pointing direction of the second beam.
[0036] Furthermore, to improve calculation accuracy, the array factor construction can be optimized by combining test or simulation data of the actual antenna pattern. As a preferred implementation, an array factor amplitude table can be pre-constructed, and the array factor corresponding to the current beam pointing angle can be determined by looking up the table. As another preferred implementation, the array factor can be calculated in real time using a high-order function fitting method, or an approximate fitting can be performed using a step function constructed based on the pattern data. This step lays the foundation for subsequent correlation calculations by constructing the original array factor of the first beam and its equivalent array factor at the second beam pointing angle.
[0037] This step transforms the energy coupling problem between beams into a computable mathematical problem by constructing two specific array factors, laying the foundation for the subsequent quantitative assessment of relative interference intensity. At the same time, this construction method strictly follows the radiation principle of phased array antennas, ensuring the physical accuracy of the calculation results.
[0038] In step 3, the correlation value is used to characterize the similarity between the two array factors, and its absolute value corresponds to the energy coupling strength of the radiation patterns described by the two array factors in the target direction. The first correlation value directly reflects the magnitude of the radiation energy of the first beam in the pointing direction of the second beam, that is, the potential interference energy of the first beam on the second beam.
[0039] In the specific implementation of step 3, the first beam Second beam The signal strength at that location is calculated using the first beam. Array factor and second beam The correlation representation of the amplitude and phase weights constructed by the pointing angle, and the expression for calculating the first correlation value are: ; In the formula, Indicates the first relevant value; This indicates the total number of rows in the phased array; This indicates the total number of columns in the phased array; This represents the modulo operation. The calculation iterates through all array elements, multiplies the two array factors at corresponding positions, sums them, and then takes the modulus to obtain the coupling energy amplitude of the first beam in the direction the second beam points.
[0040] This step can calculate the coupling energy using only complex number multiplication and addition operations. It has low computational complexity, fast operation speed, and can meet the needs of real-time evaluation. At the same time, the calculation process is based entirely on the physical characteristics of the array, and the results have clear physical meaning.
[0041] In step 4, the autocorrelation value is the result of correlation calculation between the array factor and itself, corresponding to the maximum radiated energy of the array in the direction its main lobe points. The second correlation value serves as a normalization benchmark to eliminate the influence of differences in main lobe power between different beams on the relative interference intensity assessment.
[0042] In the specific implementation of step 4, the calculation expression for the second relevant value is as follows: ; In the formula, This represents the second correlation value. The calculation also iterates through all array elements, multiplies the first array factor by itself, sums the results, and takes the modulus to obtain the main lobe energy of the first beam in its pointing direction, which is the maximum energy the first beam can radiate.
[0043] This step obtains a unified normalized benchmark by calculating the autocorrelation value, making the relative interference intensity between different beams comparable and avoiding evaluation bias caused by different main lobe powers of the beams.
[0044] In step 5, the relative interference intensity is the ratio of the coupling energy of the first beam in the pointing direction of the second beam to the energy of the main lobe of the first beam. It is used to characterize the relative strength of the interference of the first beam to the second beam. The larger the ratio, the more severe the interference. The smaller the ratio, the weaker the interference.
[0045] In the specific implementation of step 5, the ratio of the first correlation value to the second correlation value is first calculated. The relative interference intensity in linear units is obtained. For ease of engineering application and numerical comparison, it is preferable to convert the relative interference intensity into decibels, as expressed by: ; In the formula, The first beam is expressed in decibels. For the second beam The relative interference intensity, i.e., the first beam Second beam The magnitude of energy attenuation in the direction of direction.
[0046] Furthermore, the main lobe power of the first beam can also be obtained. The main lobe power can be obtained through actual testing or through calculation of single beam power control.
[0047] Based on the relative interference intensity and the main lobe power of the first beam, the actual interference power of the first beam on the second beam is calculated. The actual interference power more intuitively reflects the impact of interference on the signal-to-noise ratio at the receiver, and its calculation expression is as follows:
[0048] In the formula, Indicates the first beam For the second beam The actual interference power; Indicates the first beam Main lobe power; This indicates the relative interference intensity. It is worth noting that... and All measurements are in decibels.
[0049] This step obtains comparable relative interference strengths through normalization, and also supports conversion to commonly used engineering units such as decibels and actual power values, which can meet the evaluation needs in different scenarios and provide diversified data support for subsequent interference suppression decisions.
[0050] In step 6, traversing all different beam pairs means traversing all beam pairs in the system. Each beam is used to calculate the pairing of each beam with the others. The relative interference intensity of each beam ensures coverage of all possible interference combinations, avoiding any potential strong interference sources being overlooked.
[0051] In the specific implementation of step 6, for each first beam Select beams different from the first beam in sequence. Each second beam Perform steps 2 through 5 to calculate the relative interference intensity. and / or actual interference power .
[0052] This step obtains complete interference information of the system through full beam traversal calculation, forming a complete dataset of inter-beam interference relationships, which provides a comprehensive basis for subsequent sorting and resource scheduling.
[0053] In the specific implementation of step 7, for each beam, the relative interference intensities of other beams received by that beam, obtained in step 6, are arranged in descending order to obtain a relative interference intensity ranking table for each beam. This ranking table visually demonstrates the degree of influence of different interference sources on the target beam.
[0054] Preferably, after completing all traversals in step 6, an interference power table containing interference information for all beam pairs can be constructed based on the actual interference power between all beams. The structure of the interference power table is as follows:
[0055] The interference power table records the interference power of all other beams received by each beam, realizing structured storage of interference data and facilitating subsequent sorting and filtering of relative interference intensity.
[0056] Furthermore, an interference power threshold can be preset. For each beam, the relative interference intensity or actual interference power is filtered before or after sorting to identify interference sources whose relative interference intensity or actual interference power is greater than the interference power threshold. The filtered interference source list is then output, and the interference source list is also sorted in descending order.
[0057] For relative interference intensity, actual interference power is less than or equal to the interference power threshold The interference source has a negligible impact on system performance and does not require interference suppression, thereby further reducing the number of beam pairs that need to be optimized and improving resource utilization efficiency.
[0058] It is worth noting that when filtering based on the relative interference intensity ranking table, the output list of interference sources includes the beam number of the interference source and its corresponding relative interference intensity. When filtering based on the interference power table, the output list of interference sources includes the beam number of the interference source and its corresponding actual interference power. Preferably, the output list of interference sources can also include both relative interference intensity and actual interference power to meet different application requirements.
[0059] It should be understood that, although this embodiment Figure 1 The steps are shown sequentially as indicated by the arrows, but they are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order in which these steps are performed; they can be executed in other orders. Figure 1 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
[0060] Example 2 Based on the inter-beam interference assessment method in Embodiment 1, this embodiment discloses an inter-beam interference assessment device, such as... Figure 2As shown, the multi-beam interference assessment device includes: a parameter acquisition module 801, an array factor construction module 802, a first correlation value calculation module 803, a second correlation value calculation module 804, a relative interference intensity determination module 805, a full beam traversal calculation module 806, and a relative interference intensity ranking module 807, wherein: The parameter acquisition module 801 is used to acquire the pointing angle of each beam in the multi-beam digital phased array and its corresponding amplitude and phase weights, which include amplitude weights and phase weights.
[0061] The array factor construction module 802 is used to construct a first array factor based on the amplitude and phase weights of the first beam for any selected first beam and second beam, and to construct a second array factor based on the amplitude weights of the first beam and the pointing angle of the second beam.
[0062] The first correlation value calculation module 803 is used to calculate the correlation value between the first array factor and the second array factor to obtain the first correlation value characterizing the coupling energy of the first beam in the second beam pointing direction.
[0063] The second correlation value calculation module 804 is used to calculate the autocorrelation value of the first array factor and the array factor corresponding to the pointing direction of the first beam, so as to obtain the second correlation value characterizing the main lobe energy of the first beam in its pointing direction.
[0064] The relative interference intensity determination module 805 is used to determine the relative interference intensity of the first beam to the second beam based on the ratio of the first correlation value to the second correlation value.
[0065] The full beam traversal calculation module 806 is used to traverse all different beam pairs, repeatedly executing the process from the array factor construction module 802 to the relative interference intensity determination module 805 to obtain the relative interference intensity between all beams.
[0066] The relative interference intensity sorting module 807 is used to sort the relative interference intensity of each beam in descending order to obtain a relative interference intensity sorting table for each beam.
[0067] In this embodiment, the specific working process and working principle of the parameter acquisition module 801, array factor construction module 802, first correlation value calculation module 803, second correlation value calculation module 804, relative interference intensity determination module 805, full beam traversal calculation module 806, and relative interference intensity sorting module 807 are the same as those in Embodiment 1, and therefore will not be described again in this embodiment. Each unit module can be implemented entirely or partially through software, hardware, or a combination thereof. Each unit module can be embedded in or independent of the processor in the computer device in hardware form, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above unit modules.
[0068] Example 3 like Figure 3 The diagram illustrates a computer device disclosed in this embodiment, including a transmitter, a receiver, a memory, and a processor. The transmitter is used to send instructions and data, the receiver is used to receive instructions and data, the memory is used to store computer execution instructions, and the processor is used to execute the computer execution instructions stored in the memory to implement the method in Embodiment 1 above.
[0069] It is important to note that the aforementioned memory can be either standalone or integrated with the processor. When the memory is set up independently, the terminal device also includes a bus for connecting the memory and the processor.
[0070] Example 4 This embodiment discloses a computer-readable storage medium storing computer-executable instructions. When a processor executes the computer-executable instructions, it implements the method in Embodiment 1 above.
[0071] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
[0072] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0073] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.
Claims
1. A method for assessing inter-beam interference, characterized in that, The method includes: Step 1: Obtain the pointing angle of each beam in the multi-beam digital phased array and its corresponding amplitude and phase weights, wherein the amplitude and phase weights include amplitude weights and phase weights. Step 2: For any selected first beam and second beam, construct a first array factor based on the amplitude and phase weight of the first beam, and construct a second array factor based on the amplitude weight of the first beam and the pointing angle of the second beam. Step 3: Calculate the correlation value between the first array factor and the second array factor to obtain a first correlation value characterizing the coupling energy of the first beam in the pointing direction of the second beam; Step 4: Calculate the autocorrelation value of the first array factor and the array factor corresponding to the pointing direction of the first beam to obtain the second correlation value characterizing the main lobe energy of the first beam in its pointing direction. Step 5: Determine the relative interference intensity of the first beam to the second beam based on the ratio of the first correlation value to the second correlation value; Step 6: Traverse all different beam pairs and repeat steps 2 to 5 to obtain the relative interference intensity between all beams; Step 7: For each beam, sort the relative interference intensities of the other beams in descending order to obtain a relative interference intensity ranking table for each beam.
2. The method for assessing inter-beam interference according to claim 1, characterized in that, The first array factor is in the array element. The value at this location is: ； The second array factor is in the array element The value at this location is: ； In the formula, Indicates the first beam In the formation Amplitude and phase weights at the location; Indicates the first beam In the formation The magnitude weight at each location; Indicates the spacing between array elements; Indicates the signal wavelength; Indicates the first beam The off-axis angle; Indicates the first beam The azimuth angle; Indicates the first beam Second beam The array factor value at the pointing angle; Indicates the second beam The off-axis angle; Indicates the second beam The azimuth angle; The phased array surface number 1 Line 1 The array elements of the column.
3. The method for assessing inter-beam interference according to claim 2, characterized in that, The expression for calculating the first correlation value is: ； The expression for calculating the second correlation value is: ； In the formula, Indicates the first relevant value; Indicates the second relevant value; This indicates the total number of rows in the phased array; This indicates the total number of columns in the phased array.
4. The method for assessing inter-beam interference according to claim 1, characterized in that, Step 5, after obtaining the relative interference intensity, also includes: converting the relative interference intensity to decibels, expressed as: ； In the formula, The first beam is expressed in decibels. For the second beam The relative interference intensity; Indicates the first relevant value; This indicates the second relevant value.
5. The method for assessing inter-beam interference according to any one of claims 1 to 4, characterized in that, Step 5 also includes: The main lobe power of the first beam is obtained, and the actual interference power of the first beam to the second beam is calculated based on the relative interference intensity and the main lobe power of the first beam.
6. The method for assessing inter-beam interference according to claim 5, characterized in that, Step 6 also includes: Based on the actual interference power between all beams, construct an interference power table containing interference information for all beam pairs.
7. The method for assessing inter-beam interference according to claim 6, characterized in that, Step 7 also includes: A preset interference power threshold is set to filter out interference sources whose relative interference intensity or actual interference power is greater than the interference power threshold, and the filtered interference source list is output.
8. A multi-beam inter-interference assessment device, characterized in that, The device includes: The parameter acquisition module is used to acquire the pointing angle of each beam in the multi-beam digital phased array and its corresponding amplitude and phase weights, wherein the amplitude and phase weights include amplitude weights and phase weights. The array factor construction module is used to construct a first array factor based on the amplitude and phase weights of the first beam for any selected first beam and second beam, and to construct a second array factor based on the amplitude weights of the first beam and the pointing angle of the second beam. The first correlation value calculation module is used to calculate the correlation value between the first array factor and the second array factor to obtain a first correlation value characterizing the coupling energy of the first beam in the pointing direction of the second beam; The second correlation value calculation module is used to calculate the autocorrelation value of the first array factor and the array factor corresponding to the pointing direction of the first beam, so as to obtain the second correlation value characterizing the main lobe energy of the first beam in its pointing direction. The relative interference intensity determination module is used to determine the relative interference intensity of the first beam to the second beam based on the ratio of the first correlation value to the second correlation value. The full beam traversal calculation module is used to traverse all different beam pairs, repeatedly executing the process from the array factor construction module to the relative interference intensity determination module, to obtain the relative interference intensity between all beams; The relative interference intensity sorting module is used to sort the relative interference intensity of each beam in descending order, thereby obtaining a relative interference intensity sorting table for each beam.
9. A computer device, comprising a memory and a processor, characterized in that, The memory stores a computer program, and when the processor executes the computer program, it implements the steps of the multi-beam interference assessment method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the steps of the multi-beam interference assessment method according to any one of claims 1 to 7.