Data splicing processing method, device and equipment based on X-band solid-state radar and readable storage medium
By calculating the average power and distance-weighted smoothing coefficient of the X-band solid-state radar data splicing section, the problem of reduced target recognition accuracy caused by excessive smoothing in data splicing processing is solved, and higher data analysis accuracy and target recognition accuracy are achieved.
Patent Information
- Application Number
- CN202411641963.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-18
- Publication Date
- 2025-01-24
AI Technical Summary
In the prior art, when data stitching process is processed by X-band solid-state radars at different pulse widths, excessive smoothing may lead to the loss of image or signal details, reducing the accuracy of target recognition.
By calculating the average power of the narrow pulses and wide pulses in the splicing section, calculating the average power weighted smoothing coefficient and the distance weighted smoothing coefficient, and combining these coefficients to calculate the power of the narrow pulses and wide pulses in the splicing section, thereby achieving smoothing processing.
It improves the accuracy of data analysis, avoids the loss of image or signal details, and enhances the accuracy of target recognition.
Smart Images
Figure CN119355678A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of X-band solid-state radar, and specifically to a method, device, equipment and readable storage medium for splicing and processing data based on X-band solid-state radar. Background Art
[0002] At present, in target recognition and classification applications in complex environments, in order to improve the accuracy of target detection and image resolution, the data collected by X-band solid-state radar at different pulse widths are usually spliced and processed.
[0003] In the related art, the method of splicing and processing data collected under different pulse widths is usually to use narrow pulses and wide pulses for splicing processing. At this time, the narrow pulse width provides a higher distance resolution, and the wide pulse width provides a larger detection distance and a stronger echo signal, so as to improve the overall target detection accuracy and image resolution.
[0004] Since narrow pulses have weak echoes and wide pulses have strong energy, an obvious ring-shaped area will be left at the splicing point. Interpolation processing is usually used to smooth the signal and reduce mutations. However, excessive smoothing may lead to loss of image or signal details and reduce the accuracy of target recognition. Summary of the invention
[0005] The present application provides a method, device, equipment and readable storage medium for splicing and processing of X-band solid-state radar data, which can solve the technical problem in the prior art that excessive smoothing may lead to loss of image or signal details and reduce the accuracy of target recognition.
[0006] In a first aspect, an embodiment of the present application provides a method for splicing and processing X-band solid-state radar data, and the method comprises: respectively calculating the average power of narrow pulses and wide pulses of a splicing segment; calculating the average power weighted smoothing coefficient of the splicing segment using the average power of the narrow pulses and wide pulses of the splicing segment; calculating the distance weighted smoothing coefficient between the narrow pulses and the wide pulses of the splicing segment; and calculating the power of the splicing segment of the narrow pulses and the wide pulses of the splicing segment using the average power weighted smoothing coefficient and the distance weighted smoothing coefficient.
[0007] In combination with the first aspect, in one embodiment, before respectively calculating the average power of the narrow pulse and the wide pulse of the spliced segment, it includes: obtaining the splicing point of the narrow pulse and the wide pulse; selecting a first preset length from the splicing point toward the narrow pulse side as the first segment, and selecting a second preset length corresponding to the first preset length from the splicing point toward the wide pulse side as the second segment, and the selected first segment, second segment and splicing point are collectively used as the splicing segment.
[0008] In combination with the first aspect, in one embodiment, after the selected first segment, second segment and splicing point are collectively used as the splicing segment, it includes: respectively calculating the power of the narrow pulse in the splicing segment and the wide pulse in the splicing segment; obtaining the number of sampling points in the splicing segment that participate in calculating the average power; and using the obtained power and number of sampling points of the narrow pulse and the wide pulse in the splicing segment to respectively calculate the average power of the narrow pulse and the wide pulse in the splicing segment.
[0009] In combination with the first aspect, in one embodiment, the method of calculating the weighted smoothing coefficient of the average power of the spliced segment using the average power of the narrow pulse and the wide pulse in the spliced segment includes: establishing a logarithmic function of the average power of the narrow pulse in the spliced segment and a logarithmic function of the average power of the wide pulse in the spliced segment, respectively; and calculating the weighted smoothing coefficient of the average power of the spliced segment using the logarithmic function of the average power of the narrow pulse and the logarithmic function of the average power of the wide pulse.
[0010] In combination with the first aspect, in one embodiment, it is characterized in that the calculation of the distance weighted smoothing coefficient between the narrow pulse and the wide pulse in the splicing segment includes: respectively obtaining the total number of sampling points in the splicing segment and the splicing points actually involved in the pulse splicing process; and using the total number of sampling points and the splicing points to calculate the distance weighted smoothing coefficient between the narrow pulse and the wide pulse in the splicing segment.
[0011] In combination with the first aspect, in one embodiment, before using the average power weighted smoothing coefficient and the distance weighted smoothing coefficient to calculate the power of the narrow pulse and the wide pulse splicing segment, it also includes: respectively calculating the power value of the narrow pulse at the splicing point actually participating in the pulse splicing process, and the power value of the wide pulse at the splicing point actually participating in the pulse splicing process.
[0012] In a second aspect, an embodiment of the present application provides a device for splicing and processing solid-state radar data based on an X-band, and the device for splicing and processing solid-state radar data based on an X-band includes: a first calculation module, the first calculation module is used to respectively calculate the average power of narrow pulses and wide pulses of the splicing segment; a second calculation module, the second calculation module is used to calculate the average power weighted smoothing coefficient of the splicing segment using the average power of the narrow pulses and wide pulses of the splicing segment; a third calculation module, the third calculation module is used to calculate the distance weighted smoothing coefficient between the narrow pulses and the wide pulses of the splicing segment; a fourth calculation module, the fourth calculation module is used to calculate the power of the splicing segment of the narrow pulse and the wide pulse splicing segment using the average power weighted smoothing coefficient and the distance weighted smoothing coefficient.
[0013] In a third aspect, an embodiment of the present application provides an X-band solid-state radar data stitching and processing device, wherein the X-band solid-state radar data stitching and processing device comprises a processor, a memory, and an X-band solid-state radar data stitching and processing program stored in the memory and executable by the processor, wherein when the X-band solid-state radar data stitching and processing program is executed by the processor, the steps of the X-band solid-state radar data stitching and processing method as described above are implemented.
[0014] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which is stored a program for stitching and processing data based on an X-band solid-state radar. When the program for stitching and processing data based on an X-band solid-state radar is executed by a processor, the steps of the method for stitching and processing data based on an X-band solid-state radar are implemented as described above.
[0015] The beneficial effects brought by the technical solution provided by the embodiments of the present application include:
[0016] By utilizing the statistical weighted smoothing coefficient of average power, the average power can be calculated in real time based on the real-time received data, and the weight can be adjusted in real time based on the average power to improve the accuracy of data analysis. In addition, based on the distance-weighted smoothed pulse splicing processing technology, the weight of narrow pulses at close distances can be increased, and the weight of wide pulses at long distances can be reduced, thereby achieving a smoothing effect. This solves the technical problem in related technologies that excessive smoothing may lead to loss of image or signal details and reduce the accuracy of target recognition. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 This is a flow chart of the first embodiment of the method for splicing and processing X-band solid-state radar data in this application;
[0018] Figure 2 For this application Figure 1 Detailed flow diagram of step S2 in FIG.
[0019] Figure 3 For this application Figure 1 Detailed flow chart of step S3 in FIG.
[0020] Figure 4 This is a schematic diagram of the hardware structure of the X-band solid-state radar data stitching and processing device involved in the embodiment of the present application. DETAILED DESCRIPTION
[0021] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0022] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.
[0023] In a first aspect, an embodiment of the present application provides a method for splicing and processing solid-state radar data based on X-band.
[0024] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the X-band solid-state radar data splicing processing method of this application. Figure 1 As shown, the X-band solid-state radar data splicing processing method may include:
[0025] S1: Calculate the average power of the narrow pulse and wide pulse of the spliced segment respectively.
[0026] S2: The average power of the narrow pulse and the wide pulse in the spliced segment is used to calculate the average power weighted smoothing coefficient of the spliced segment. The average power weighted smoothing coefficient can be calculated based on the log function to deal with the influence of noise and extreme values in the spliced segment, reduce the dynamic range, and improve the accuracy of data analysis.
[0027] S3: Calculate the distance weighted smoothing coefficient between the narrow pulse and the wide pulse in the spliced segment.
[0028] S4: Calculate the power of the narrow pulse and wide pulse splicing segments using the average power weighted smoothing coefficient and the distance weighted smoothing coefficient. It should be understood that the steps S1 to S4 in the embodiment of the present application may not be performed in exact sequence, that is, the sequence of some steps in S1 to S4 may be swapped, and even some steps may be performed synchronously.
[0029] In this embodiment, by utilizing the average power statistical weighted smoothing coefficient, the average power can be calculated in real time based on the real-time received data, and the weight can be adjusted in real time based on the average power. In the embodiment of the present application, the weighted smoothing coefficient can be based on the log function to improve the accuracy of data analysis. In addition, based on the distance weighted smoothing pulse splicing processing technology, the weight of narrow pulses at close distances can be increased, and the weight of wide pulses at long distances can be reduced, thereby achieving a smoothing effect, solving the technical problem in the related technology that excessive smoothing may lead to the loss of image or signal details and reduce the accuracy of target recognition.
[0030] Furthermore, in one embodiment, before respectively calculating the average power of the narrow pulse and the wide pulse of the spliced segment, the method may include: obtaining the splicing point of the narrow pulse and the wide pulse, where the splicing point may be the point where the narrow pulse and the wide pulse just meet; selecting a first preset length from the splicing point toward the narrow pulse as the first segment, and selecting a second preset length corresponding to the first preset length from the splicing point toward the wide pulse as the second segment, and using the selected first segment, second segment and splicing point together as the splicing segment, that is, using the splicing point as a reference, selecting a segment from the narrow pulse as the first segment, and selecting a segment from the wide pulse as the second segment, the first segment and the second segment may be connected through the splicing point, so that the first segment, the second segment and the splicing point segment together form the splicing segment. It should be understood that the length selection of the first segment and the second segment may be determined as needed, such as first determining that the splicing point is at 1 nautical mile, then the 20 points before 1 nautical mile are the first segment, and the 20 points after 1 nautical mile are the second segment.
[0031] In this embodiment, by clearly selecting the splicing point, and selecting data segments of preset lengths (i.e., the first segment and the second segment) from the splicing point in the direction of the narrow pulse and the wide pulse, respectively, it can be ensured that the data of the splicing segment is continuous and complete. This precise data selection method helps to reduce the calculation error caused by discontinuous or missing data, thereby improving the accuracy of the average power calculation. And the lengths of the first segment and the second segment (i.e., the first preset length and the second preset length) are adjusted according to actual needs, which provides great flexibility. By first determining the splicing segment and then calculating the average power, the overall process of data processing can be optimized, unnecessary calculation steps and data redundancy can be reduced, and data processing efficiency and accuracy can be improved, which solves the technical problem of excessive data that needs to be calculated and processed in related technologies, affecting calculation efficiency.
[0032] Further, in one embodiment, after the selected first segment, second segment and joint are taken together as the joint segment, the method includes: calculating the power of the narrow pulse in the joint segment and the wide pulse in the joint segment respectively; obtaining the number of sampling points in the joint segment that participate in calculating the average power; using the obtained power and number of sampling points of the narrow pulse and the wide pulse in the joint segment to respectively calculate the average power of the narrow pulse and the wide pulse in the joint segment. . In the embodiment of the present application, by calculating the power of the narrow pulse in the joint segment and the wide pulse in the joint segment, and by obtaining the number of points in the joint segment that participate in calculating the average power, the average power of the narrow pulse and the wide pulse in the joint segment can be calculated respectively.
[0033] Specifically, the calculation method can be:
[0034]
[0035] Among them, Pm is the average power of wide pulse, Ps is the average power of narrow pulse, n is the number of sampling points involved in calculating the average power in the splicing segment, Pm i With Ps i In this embodiment, by calculating the power of the first segment and the second segment respectively, the average power of the narrow pulse and the wide pulse in the spliced segment can be estimated according to the power characteristics of the signal and the number of sampling points.
[0036] Furthermore, in one embodiment, the method of calculating the average power weighted smoothing coefficient of the spliced segment by using the average power of the narrow pulse and the wide pulse of the spliced segment includes:
[0037] S21: establishing a logarithmic function of the average power of the narrow pulse in the spliced segment and a logarithmic function of the average power of the wide pulse in the spliced segment respectively;
[0038] S22: Calculate the average power weighted smoothing coefficient of the spliced segment using the logarithmic function of the narrow pulse average power and the logarithmic function of the wide pulse average power, that is, establish the relationship between the logarithmic function of the narrow pulse average power, the logarithmic function of the wide pulse average power and the average power weighted smoothing coefficient.
[0039] Specifically, it can be: b = log (Pm) - log (Ps)
[0040] Where: b is the average power weighted smoothing coefficient.
[0041] In the embodiment of the present application, by establishing the logarithmic function of the average power of narrow pulses and the logarithmic function of the average power of wide pulses respectively, the changing trend of the signal power in the splicing segment can be described more accurately, and the logarithmic function can handle a wide range of power values, avoiding the dominant influence of the large power value on the calculation result, thereby improving the accuracy of the calculation. And whether it is a narrow pulse or a wide pulse, as long as its average power can be calculated, this method can be used to calculate the weighted smoothing coefficient. The introduction of the logarithmic function also makes this method more adaptable when processing nonlinear signals. Further, by establishing the relationship between the logarithmic function of the average power of narrow pulses and the logarithmic function of the average power of wide pulses and the average power weighted smoothing coefficient, the weights of the two segments of signals in the splicing segment can be more reasonably allocated, thereby optimizing the smoothing effect, helping to improve the overall quality of the signal, and providing a more reliable data basis for subsequent signal processing and analysis. It solves the technical problem that excessive smoothing of data in the related art may lead to the loss of image or signal details and reduce the accuracy of target recognition.
[0042] Further, in one embodiment, see Figure 3 As shown, the calculation of the distance weighted smoothing coefficient between the narrow pulse and the wide pulse of the spliced segment may include:
[0043] S31: respectively obtain the total number of sampling points of the splicing segment and the splicing points actually involved in the pulse splicing process. The splicing point may refer to the position where the narrow pulse signal and the wide pulse signal are connected or merged in applications such as signal processing or radar detection, that is, the splicing point. Specifically, the splicing point is the traversal of the entire splicing segment. If the splicing segment consists of n points, the splicing points are 1, 2, 3...n.
[0044] S32: Calculate the distance-weighted smoothing coefficient between the narrow pulse and the wide pulse in the spliced segment using the total number of sampling points and the splicing points. It should be understood that the calculation of the distance-weighted smoothing coefficient and the average power-weighted smoothing coefficient can be performed synchronously in the processor or separately, but the order of calculation is not limited.
[0045] The specific calculation method can be:
[0046]
[0047] Where N is the total number of sampling points at the pulse splicing, and x is the splicing point.
[0048] In the embodiment of the present application, the accuracy of subsequent calculations can be ensured by accurately obtaining the total number of sampling points of the splicing segment and the splicing points actually involved in the pulse splicing process. The determination of the splicing point has an important influence on the signal processing results, and the accurate splicing point can reduce signal distortion and error. Using these accurate data to calculate the distance-weighted smoothing coefficient can further improve the accuracy of signal processing, which helps to more accurately extract target information in applications such as signal processing or radar detection, and improve the overall performance of the system. Furthermore, the method can handle situations with different numbers of sampling points and splicing point positions, showing good adaptability and robustness. In practical applications, the number of sampling points and the position of the splicing point may change due to changes in the signal source and environmental conditions. The method ensures the stability and reliability of the system by flexibly handling these situations, and solves the technical problem of poor signal processing accuracy in the related art.
[0049] Furthermore, in one embodiment, before using the average power weighted smoothing coefficient and the distance weighted smoothing coefficient to calculate the power of the narrow pulse and the wide pulse splicing segment, it also includes: respectively calculating the narrow pulse power value at the splicing point that actually participates in the pulse splicing process, and the wide pulse power value at the splicing point that actually participates in the pulse splicing process. In this embodiment of the present application, the narrow pulse power value at the splicing point and the wide pulse power value at the splicing point can be used to calculate the power at the splicing point.
[0050] Specifically, it can be:
[0051] F(x)=a(x)F s (x)+(1-a(x))*F m (x)*b(0≤x≤N)
[0052] Where: F(x) is the power value after splicing at the splicing point, F s (x) is the narrow pulse power value at the splicing point, F m (x) is the pulse width power value at the splicing point, and Na is the total number of sampling points at the pulse splicing.
[0053] In the embodiment of the present application, by calculating the narrow pulse power value and the wide pulse power value at the splicing point respectively, the power characteristics of the two pulses at the splicing point can be accurately obtained, which helps to more accurately reflect the actual contribution and mutual influence of the two pulses when calculating the power of the splicing section later. And by calculating the power value at the splicing point separately and taking it into account in the subsequent calculation, the error accumulation can be reduced and the accuracy of the calculation can be improved. And by calculating the power value at the splicing point separately, the splicing effect and system performance can be conveniently evaluated, which helps to optimize and adjust according to the evaluation results in the subsequent processing, and improve the overall performance of the system.
[0054] In an embodiment of the present application, a weighted smooth pulse splicing processing technology based on log function and average power statistics can smooth the power at the splicing point in real time according to changes in environmental clutter; and a distance-weighted smooth pulse splicing processing technology can smooth the power at the splicing point according to changes in the distance of the splicing point.
[0055] In a second aspect, an embodiment of the present application further provides a device for splicing and processing X-band solid-state radar data, the device for splicing and processing X-band solid-state radar data comprising:
[0056] A first calculation module, the first calculation module is used to respectively calculate the average power of the narrow pulse and the wide pulse of the spliced segment; a second calculation module, the second calculation module is used to calculate the average power weighted smoothing coefficient of the spliced segment using the average power of the narrow pulse and the wide pulse of the spliced segment; a third calculation module, the third calculation module is used to calculate the distance weighted smoothing coefficient between the narrow pulse and the wide pulse of the spliced segment; a fourth calculation module, the fourth calculation module is used to calculate the power of the spliced segment of the narrow pulse and the wide pulse of the spliced segment using the average power weighted smoothing coefficient and the distance weighted smoothing coefficient. In the embodiments of the present application, calculations are performed in different calculation modules to reduce the mutual influence of the calculation process and results and enhance the calculation efficiency. In some other embodiments, each calculation can also be performed in the same module.
[0057] Among them, the functional implementation of each module in the above-mentioned X-band solid-state radar data splicing and processing device corresponds to the steps in the above-mentioned X-band solid-state radar data splicing and processing method embodiment, and its functions and implementation processes are no longer repeated here one by one.
[0058] In a third aspect, an embodiment of the present application provides a data stitching and processing device based on an X-band solid-state radar. The data stitching and processing device based on an X-band solid-state radar can be a personal computer (PC), a laptop computer, a server, or other device with data processing functions.
[0059] Reference Figure 4 , Figure 4 Schematic diagram of the hardware structure of the X-band solid-state radar data splicing processing device involved in the embodiment of the present application. In the embodiment of the present application, the X-band solid-state radar data splicing processing device may include a processor, a memory, a communication interface and a communication bus.
[0060] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.
[0061] The communication interface includes input, output (I, O) interface, physical interface and logical interface, etc., which are used to realize the interconnection of devices inside the X-band solid-state radar data splicing and processing equipment, and the interface used to realize the interconnection between the AAAA equipment and other equipment (such as other computing equipment or user equipment). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user equipment can be a display (Display), a keyboard (Keyboard), etc.
[0062] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.
[0063] The processor may be a general-purpose processor, and the general-purpose processor may call the AAAA program stored in the memory and execute the AAAA method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the X-band solid-state radar data splicing processing program is called may refer to the various embodiments of the X-band solid-state radar data splicing processing method of the present application, which will not be repeated here.
[0064] Those skilled in the art will understand that Figure 4 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.
[0065] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.
[0066] The computer-readable storage medium of the present application stores a program for splicing and processing data based on an X-band solid-state radar. When the program for splicing and processing data based on an X-band solid-state radar is executed by a processor, the steps of the method for splicing and processing data based on an X-band solid-state radar are implemented as described above.
[0067] Among them, the method implemented when the X-band solid-state radar data splicing processing program is executed can refer to the various embodiments of the X-band solid-state radar data splicing processing method based on the present application, and will not be repeated here.
[0068] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.
[0069] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.
[0070] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.
[0071] In the description of the embodiments of the present application, unless otherwise specified, “,” means or, for example, A, B can mean A or B; the “and, or” in the text is merely a way to describe the association relationship of associated objects, indicating that three relationships may exist, for example, A and, or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “plurality” refers to two or more than two.
[0072] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.
[0073] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM, RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.
[0074] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.
Claims
1. A method for splicing and processing X-band solid-state radar data, characterized in that: The X-band solid-state radar data splicing processing method comprises: Calculate the average power of narrow pulses and wide pulses in the spliced segment respectively; The average power weighted smoothing coefficient of the spliced segment is calculated using the average power of the narrow pulse and the wide pulse in the spliced segment; Calculate the distance weighted smoothing coefficient between the narrow pulse and the wide pulse in the spliced segment; The power of the narrow pulse and wide pulse splicing segments is calculated using the average power weighted smoothing coefficient and the distance weighted smoothing coefficient.
2. The X-band solid-state radar data splicing processing method according to claim 1, characterized in that: Before respectively calculating the average power of the narrow pulse and the wide pulse of the spliced segment, the method includes: Get the joints of narrow pulses and wide pulses; A first preset length is selected from the splicing point toward the narrow pulse side as the first segment, and a second preset length corresponding to the first preset length is selected from the splicing point toward the wide pulse side as the second segment, and the selected first segment, second segment and splicing point are collectively regarded as the splicing segment.
3. The X-band solid-state radar data splicing processing method according to claim 2, characterized in that: After the first segment, the second segment and the joint are selected as the joint segment, the method further comprises: Calculate the power of the narrow pulse in the spliced segment and the power of the wide pulse in the spliced segment respectively; Get the number of sampling points involved in calculating the average power in the spliced segment; The average powers of the narrow pulse and the wide pulse in the spliced segment are calculated respectively using the powers of the narrow pulse and the wide pulse and the number of sampling points obtained in the spliced segment.
4. The X-band solid-state radar data splicing processing method according to claim 2, characterized in that: The method of calculating the average power weighted smoothing coefficient of the spliced segment by using the average power of the narrow pulse and the wide pulse of the spliced segment comprises: Establishing the logarithmic function of the average power of the narrow pulse in the spliced segment and the logarithmic function of the average power of the wide pulse in the spliced segment respectively; The average power weighted smoothing coefficient of the spliced segment is calculated using the logarithmic function of the average power of the narrow pulse and the logarithmic function of the average power of the wide pulse.
5. The X-band solid-state radar data splicing processing method according to claim 2, characterized in that: The step of calculating the distance weighted smoothing coefficient between the narrow pulse and the wide pulse in the spliced segment comprises: The total number of sampling points in the splicing segment and the splicing points actually involved in the pulse splicing process are obtained respectively; The distance-weighted smoothing coefficient between the narrow pulse and the wide pulse in the spliced segment is calculated using the total number of sampling points and the splicing points.
6. The X-band solid-state radar data splicing processing method according to claim 5, characterized in that: Before calculating the power of the spliced narrow pulse and the wide pulse spliced segment by using the average power weighted smoothing coefficient and the distance weighted smoothing coefficient, the method further includes: The power value of the narrow pulse at the splicing point actually participating in the pulse splicing process and the power value of the wide pulse at the splicing point actually participating in the pulse splicing process are calculated respectively.
7. A device for splicing and processing X-band solid-state radar data, characterized in that: The X-band solid-state radar data splicing processing device comprises: A first calculation module, the first calculation module is used to calculate the average power of the narrow pulse and the wide pulse of the spliced segment respectively; A second calculation module, the second calculation module is used to calculate the average power weighted smoothing coefficient of the spliced segment by using the average power of the narrow pulse and the wide pulse of the spliced segment; A third calculation module, the third calculation module is used to calculate the distance weighted smoothing coefficient between the narrow pulse and the wide pulse of the splicing segment; The fourth calculation module is used to calculate the power of the spliced segment narrow pulse and the wide pulse spliced segment by using the average power weighted smoothing coefficient and the distance weighted smoothing coefficient.
8. A data splicing and processing device based on X-band solid-state radar, characterized in that: The X-band solid-state radar data splicing and processing device includes a processor, a memory, and an X-band solid-state radar data splicing and processing program stored in the memory and executable by the processor, wherein when the X-band solid-state radar data splicing and processing program is executed by the processor, the steps of the X-band solid-state radar data splicing and processing method according to any one of claims 1 to 6 are implemented.
9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program for splicing and processing X-band solid-state radar data. When the program for splicing and processing X-band solid-state radar data is executed by a processor, the steps of the method for splicing and processing X-band solid-state radar data as described in any one of claims 1 to 6 are implemented.