Data analysis method for X and C multi-band radar

Abstract

The invention discloses a data analysis method for X and C multi-band radar, and relates to the technical field of electric digital data processing. The data analysis method for the X and C multi-band radar comprises the following steps: acquiring detection data; x wave band detection evaluation; c wave band detection and evaluation; and performing micro-pressure evaluation. According to the invention, the X-band detection evaluation coefficient is obtained through the X-band monitoring data and whether the X-band adjustment is carried out is judged, and then the C-band detection evaluation coefficient is obtained according to the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data and whether the C-band adjustment is carried out is judged. And finally, acquiring a micro-pressure evaluation coefficient according to the C wave band detection evaluation coefficient after the C wave band adjustment and the micro-pressure detection data, and judging whether to carry out severe convection prediction or not, thereby achieving the effect of improving the analysis accuracy of the radar data-based detection tornado. The problem that in the prior art, the analysis accuracy of tornado detection based on radar data is not high is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, in particular to a data analysis method for X, C multi-band radar. Background Art

[0002] Due to its short wavelength, X-band radar has very high resolution and can capture very fine weather phenomena or target features. This makes it excellent in local severe weather monitoring, blind spot detection, and target tracking. X-band radar usually uses small antennas and has relatively low equipment costs. This makes it easier to deploy over a wide area, especially in situations where there are cost or space constraints. C-band radar has a higher operating frequency and a wider bandwidth, which enables it to search and track targets at a higher speed. Due to the higher frequency of the C-band, its signal is less affected by ground objects and meteorological conditions, so it can still maintain high accuracy and reliability in complex environments. With the continuous development of radar technology, the performance of C-band radar is also constantly improving. For example, by adopting more advanced signal processing technology and more efficient transmission / reception systems, the detection range and accuracy of C-band radar have been further improved.

[0003] Existing radar data analysis methods are mainly based on fusing data from different radar bands, different sensors or different time periods, which can obtain more comprehensive and accurate target information.

[0004] For example, the invention patent with announcement number CN116089523B discloses a processing system for big data analysis based on low-altitude radar information, including: database, cloud server, information collection module, information classification module, information retrieval module, information analysis module and visualization module, which belongs to the field of radar information system. The information classification module, information retrieval module, information analysis module and visualization module are based on the calculation of the cloud server; the input and output ends of the database are open to all other unit modules in the system.

[0005] For example, the invention patent with announcement number: CN112214467B announces a high-speed storage system and storage method for real-time clutter data collection of multi-band radars, including: a number of radar clutter data collection nodes, more than two data management nodes, a number of high-speed storage devices, more than two 10 Gigabit Ethernet switches and more than two FC switches, wherein each radar clutter data collection node is connected to communicate with the radar, the 10 Gigabit Ethernet switch and the FC switch respectively, the two data management nodes are connected to communicate with the 10 Gigabit Ethernet switch and the FC switch respectively, and each high-speed storage device is connected to communicate with the FC switch respectively.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the existing technology, since electromagnetic waves may be affected by atmospheric conditions and surface characteristics during tornado detection (tornadoes are local, small-scale, sudden and extremely destructive severe convective weather disasters), the detection signal may be attenuated, resulting in low accuracy of tornado detection analysis based on radar data. Summary of the invention

[0007] The embodiment of the present application solves the problem of low accuracy of tornado analysis based on radar data in the prior art by providing a data analysis method for X and C multi-band radars, thereby improving the accuracy of tornado analysis based on radar data.

[0008] The embodiment of the present application provides a data analysis method for an X-band and C-band radar, comprising the following steps: S1, acquiring X-band monitoring data, C-band monitoring data and micro-pressure detection data according to a deployed preset tornado monitoring network; S2, acquiring an X-band detection evaluation coefficient according to the X-band monitoring data, judging whether to perform an X-band adjustment based on the X-band detection evaluation coefficient, and the X-band detection evaluation coefficient is used to evaluate the refined compliance of the X-band radar in detecting tornadoes in a preset monitoring area; S3, acquiring a C-band detection evaluation coefficient according to the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data, judging whether to perform a C-band adjustment based on the C-band detection evaluation coefficient, and the C-band detection evaluation coefficient is used to evaluate the compliance of the C-band radar in detecting tornadoes in a preset monitoring area; S4, acquiring a micro-pressure evaluation coefficient according to the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data, judging whether to perform a severe convection prediction based on the micro-pressure evaluation coefficient, and the micro-pressure evaluation coefficient is used to evaluate the compliance of micro-pressure changes in the preset monitoring area.

[0009] Furthermore, the X-band monitoring data includes X-band radar frequency, tornado radial velocity and X-band radar echo intensity; the tornado radial velocity represents the radial movement speed of the tornado relative to the X-band radar in a preset monitoring area; the C-band monitoring data includes C-band radar transmission power, antenna gain, C-band radar scattering cross section of moving particles and a first distance; the first distance represents the distance between the tornado particles and the C-band radar in the preset monitoring area; the micro-pressure detection data includes pressure change, second distance, third distance, X-band radar wavelength and C-band radar wavelength; the second distance represents the distance between the X-band radar and the microwave meter in the preset monitoring area; the third distance represents the distance between the C-band radar and the microwave meter in the preset monitoring area.

[0010] Furthermore, the specific process of obtaining the X-band detection evaluation coefficient according to the X-band monitoring data is as follows: A1, combining the radial velocity of the tornado, the X-band radar frequency and the speed of light obtained from the database to obtain the initial frequency shift; A2, obtaining the frequency shift coincidence ratio, which is represented by the result of the ratio operation between the initial frequency shift and the preset frequency shift threshold obtained from the database; A3, obtaining the radial velocity coincidence ratio, which is represented by the result of the ratio operation between the radial velocity of the tornado and the preset radial velocity threshold obtained from the database; A4, combining the X-band radar echo intensity and the precipitation particle constant to obtain the initial reflectivity factor, which is used to reflect the echo reflection of the X-band radar in the preset monitoring area; A5, obtaining the reflectivity factor coincidence ratio, which is used to reflect the echo reflection coincidence of the X-band radar in the preset monitoring area; A6, combining the frequency shift coincidence ratio, the radial velocity coincidence ratio and the reflectivity factor coincidence ratio to obtain the X-band detection evaluation coefficient.

[0011] Furthermore, the restriction expression of the X-band detection evaluation coefficient is as follows: ; ; ; ; Where XBD represents the X-band detection evaluation coefficient of the X-band radar, n represents the time variable, , Indicates the monitoring start time point, Indicates monitoring the current time point. represents the frequency shift coincidence ratio of the X-band radar at time n, represents the radial velocity coincidence ratio of the X-band radar at time n, represents the reflectivity factor coincidence ratio of the X-band radar at time n, represents the X-band radar frequency of the X-band radar at time n, represents the radial velocity of the tornado at time n by the X-band radar, represents the X-band radar echo intensity at time n, represents the speed of light, represents the precipitation particle constant, Indicates the preset frequency shift threshold, Indicates the preset radial velocity threshold, The reflectivity factor threshold is preset, and e represents a natural constant.

[0012] Furthermore, the specific process of obtaining the C-band detection evaluation coefficient based on the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data is as follows: B1, combining the C-band radar transmit power, antenna gain, mobile particle C-band radar scattering cross section and the first distance to obtain the initial echo power, and the initial echo power is used to reflect the recognition of the tornado by the C-band radar in the preset monitoring area; B2, obtaining the echo power coincidence ratio, and the echo power coincidence ratio is represented by the result of the ratio operation between the initial echo power and the preset radar echo power threshold obtained from the database, and the echo power coincidence ratio is used to reflect the recognition compliance of the tornado by the C-band radar in the preset monitoring area; B3, combining the echo power coincidence ratio, the preset first detection allocation weight, the preset second detection allocation weight and the X-band detection evaluation coefficient of the X-band radar after the X-band adjustment to obtain the C-band detection evaluation coefficient.

[0013] Furthermore, the specific process of obtaining the micro-pressure evaluation coefficient according to the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data is as follows: C1, combining the second distance and the wavelength of the X-band radar to obtain the initial X-band loss, and the initial X-band loss is used to reflect the propagation loss of the X-band radar; C2, obtaining the X-band loss compliance ratio, and the X-band loss compliance ratio is represented by the result of the difference operation between the initial X-band loss and the preset X-band propagation loss threshold obtained from the database, and the X-band loss compliance ratio is used to reflect the propagation loss compliance of the X-band radar; C3, combining the third distance and the wavelength of the C-band radar to obtain the initial C-band loss, and the initial C-band loss is used to reflect the propagation loss of the C-band radar. C4, obtaining a C-band loss compliance ratio, the C-band loss compliance ratio is represented by the result of a difference operation between the initial C-band loss and a preset C-band propagation loss threshold obtained from a database, and the C-band loss compliance ratio is used to reflect the propagation loss compliance of the C-band radar; C5, obtaining a micro-pressure change compliance ratio, the micro-pressure change compliance ratio is represented by the result of a ratio operation between the pressure change and a preset micro-pressure change threshold obtained from a database, and the micro-pressure change compliance ratio is used to reflect the compliance of the micro-pressure change in a preset monitoring area; C6, obtaining a micro-pressure evaluation coefficient by combining the X-band loss compliance ratio, the C-band loss compliance ratio, the micro-pressure change compliance ratio and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment.

[0014] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Determine whether to perform X-band adjustment by using the obtained X-band detection evaluation coefficient, then obtain the C-band detection evaluation coefficient based on the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data and determine whether to perform C-band adjustment, finally obtain the micro-pressure evaluation coefficient based on the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data and determine whether to perform severe convection prediction, thereby improving the reliability of tornado prediction, and further improving the accuracy of tornado detection analysis based on radar data, effectively solving the problem of low accuracy of tornado detection analysis based on radar data in the prior art.

[0015] 2. The X-band detection evaluation coefficient is obtained through the frequency shift coincidence ratio, the radial velocity coincidence ratio and the reflectivity factor coincidence ratio, and then the C-band detection evaluation coefficient is obtained by combining the echo power coincidence ratio, the preset first detection allocation weight, the preset second detection allocation weight and the X-band detection evaluation coefficient of the X-band radar after the X-band adjustment. Finally, the micro-pressure evaluation coefficient is obtained by combining the X-band loss coincidence ratio, the C-band loss coincidence ratio, the micro-pressure change coincidence ratio and the X-band detection evaluation coefficient of the X-band radar after the X-band adjustment, thereby achieving the improvement of the accuracy of the tornado detection capability assessment, and then achieving the precise quantification of the tornado detection capability assessment.

[0016] 3. By judging whether the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, and then judging whether the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, and finally judging whether the micro-pressure evaluation coefficient is not lower than the preset micro-pressure threshold obtained from the database, dynamic adjustment of tornado detection is achieved, thereby improving the effectiveness of tornado detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flow chart of a data analysis method for X, C multi-band radar provided in an embodiment of the present application; Figure 2 An overall flow chart provided for the embodiments of the present application; Figure 3 A statistical diagram of changes in radial velocity coincidence ratio provided in an embodiment of the present application; Figure 4 A radar detection network provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] The embodiment of the present application solves the problem of low accuracy of tornado detection analysis based on radar data in the prior art by providing a data analysis method for X-band and C-band radars. X-band monitoring data, C-band monitoring data and micro-pressure detection data are obtained through a deployed preset tornado monitoring network. Then, an X-band detection evaluation coefficient is obtained according to the X-band monitoring data. Based on the X-band detection evaluation coefficient, it is determined whether to perform an X-band adjustment. Then, a C-band detection evaluation coefficient is obtained according to the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data. Based on the C-band detection evaluation coefficient, it is determined whether to perform a C-band adjustment. Finally, a micro-pressure evaluation coefficient is obtained according to the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data. Based on the micro-pressure evaluation coefficient, it is determined whether to perform a severe convection prediction. This improves the accuracy of tornado detection analysis based on radar data.

[0019] The technical solution in the embodiment of the present application is to solve the problem of low accuracy of tornado analysis based on radar data detection. The overall idea is as follows: The X-band detection evaluation coefficient is obtained through X-band monitoring data to determine whether to perform X-band adjustment. Then, the C-band detection evaluation coefficient is obtained based on the X-band detection evaluation coefficient after X-band adjustment and the C-band monitoring data to determine whether to perform C-band adjustment. Finally, the micro-pressure evaluation coefficient is obtained based on the C-band detection evaluation coefficient after C-band adjustment and the micro-pressure detection data to determine whether to perform severe convection prediction, thereby achieving the effect of improving the accuracy of tornado detection analysis based on radar data.

[0020] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0021] like Figure 1As shown, it is a flow chart of a data analysis method for an X-band and C-band radar provided in an embodiment of the present application, the method comprising the following steps: S1, obtaining detection data: obtaining X-band monitoring data, C-band monitoring data and micro-pressure detection data according to a deployed preset tornado monitoring network, the X-band monitoring data is used to reflect the refined compliance of the radar in detecting tornadoes in a preset monitoring area, the C-band monitoring data is used to reflect the compliance of the radar's ability to detect tornadoes in a preset monitoring area, and the micro-pressure detection data is used to reflect the change of micro-pressure in the preset monitoring area; S2, X-band detection evaluation: obtaining an X-band detection evaluation coefficient according to the X-band monitoring data, judging whether to perform an X-band adjustment based on the X-band detection evaluation coefficient, and the X-band detection evaluation coefficient is used to evaluate the X-band radar in The X-band adjustment is used to improve the detection accuracy of the X-band radar based on the refined compliance of tornado detection in the preset monitoring area. S3, C-band detection evaluation: the C-band detection evaluation coefficient is obtained based on the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data, and whether to perform the C-band adjustment is determined based on the C-band detection evaluation coefficient. The C-band detection evaluation coefficient is used to evaluate the compliance of the C-band radar's ability to detect tornadoes in the preset monitoring area. The C-band adjustment is used to reduce the interference of the C-band radar. S4, micro-pressure evaluation: the micro-pressure evaluation coefficient is obtained based on the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data, and whether to perform a severe convection forecast is determined based on the micro-pressure evaluation coefficient. The micro-pressure evaluation coefficient is used to evaluate the compliance of micro-pressure changes in the preset monitoring area.

[0022] like Figure 2 As shown, it is an overall flow chart provided by the embodiment of the present application. The preset tornado monitoring network deploys 4 digital X-band fine radars (X-band radars), 1 C-band high-speed search radar (C-band radar) and 1 mobile ultra-fine radar in the "4+1+1+N" mode of quadrilateral+center+mobile+auxiliary, deploys 4 micro-manometers, 1 observation camera, etc. There is a close interaction and connection between the X-band detection evaluation coefficient, the C-band detection evaluation coefficient and the micro-pressure evaluation coefficient. Since the higher the resolution of the X-band radar, the more accurate its detection results are. Therefore, when the X-band detection evaluation coefficient is higher, it means that the detection result of the X-band radar is more reliable. When the C-band detection evaluation coefficient is higher, it means that the C-band radar can accurately capture the information of micro-pressure changes, which is helpful for the subsequent calculation of the micro-pressure evaluation coefficient and the prediction of severe convective phenomena (tornadoes). The X-band detection evaluation coefficient, the C-band detection evaluation coefficient and the micro-pressure evaluation coefficient together constitute a complete system for tornado monitoring. They are interrelated and influence each other, and together improve the accuracy and reliability of tornado monitoring; they achieve an improvement in the accuracy of tornado detection analysis based on radar data.

[0023] It should be added that the X-band monitoring data includes the X-band radar frequency, the radial velocity of the tornado and the X-band radar echo intensity; the radial velocity of the tornado indicates the radial movement speed of the tornado relative to the X-band radar within the preset monitoring area; the C-band monitoring data includes the C-band radar transmission power, antenna gain, the C-band radar scattering cross section of moving particles and the first distance; the first distance indicates the distance between the tornado particles and the C-band radar within the preset monitoring area; the micro-pressure detection data includes the pressure change, the second distance, the third distance, the X-band radar wavelength and the C-band radar wavelength; the second distance indicates the distance between the X-band radar and the microwave meter within the preset monitoring area; the third distance indicates the distance between the C-band radar and the microwave meter within the preset monitoring area.

[0024] Specifically, the X-band radar frequency and the X-band radar echo intensity are directly obtained through the radar, the radial velocity of the tornado relative to the radar is obtained through the principle of the Doppler effect, the C-band radar transmission power, antenna gain, first distance, second distance, third distance, X-band radar wavelength and C-band radar wavelength are directly obtained through the radar, the echo signal power and the transmission power of the C-band radar are measured by a power meter, the scattering power of the C-band radar is obtained based on the radar equation, the incident power density is obtained by combining the transmission power, antenna gain and the third distance, the C-band radar scattering cross section of the moving particle is obtained by combining the incident power density and the scattering power, and the pressure change in a preset time period is measured by a micromanometer, thereby achieving an improvement in the accuracy of tornado detection analysis based on radar data.

[0025] Furthermore, the specific process of obtaining the X-band detection evaluation coefficient based on the X-band monitoring data is as follows: A1, combining the radial velocity of the tornado, the X-band radar frequency and the speed of light obtained from the database to obtain the initial frequency shift (i.e., ), the initial frequency shift is used to reflect the frequency shift of the X-band radar in the preset monitoring area; A2, obtain the frequency shift coincidence ratio (that is, the limit expression of the X-band detection evaluation coefficient ), the frequency shift coincidence ratio is expressed by the result of the ratio operation between the initial frequency shift and the preset frequency shift threshold obtained from the database. The frequency shift coincidence ratio is used to reflect the frequency shift coincidence of the X-band radar in the preset monitoring area; A3, obtain the radial velocity coincidence ratio (i.e., the value in the restriction expression of the X-band detection evaluation coefficient) ), the radial velocity coincidence ratio is expressed by the ratio operation of the tornado moving radial velocity and the preset radial velocity threshold obtained from the database. The radial velocity coincidence ratio is used to reflect the radial velocity coincidence of the X-band radar in the preset monitoring area; A4, combining the X-band radar echo intensity and the precipitation particle constant to obtain the initial reflectivity factor (i.e., the value in the restriction expression of the X-band detection evaluation coefficient ), the reflectivity factor is expressed by the product of the X-band radar echo intensity and the precipitation particle constant obtained from the database. The initial reflectivity factor is used to reflect the echo reflection of the X-band radar in the preset monitoring area; A5, obtain the reflectivity factor compliance ratio (that is, the X-band detection evaluation coefficient in the restriction expression ), the reflectivity factor coincidence ratio is expressed by the result of the ratio operation between the initial reflectivity factor and the preset reflectivity factor threshold obtained from the database. The reflectivity factor coincidence ratio is used to reflect the echo reflection coincidence of the X-band radar in the preset monitoring area; A6, the X-band detection evaluation coefficient is obtained by combining the frequency shift coincidence ratio, the radial velocity coincidence ratio and the reflectivity factor coincidence ratio.

[0026] Among them, the limiting expression of the X-band detection evaluation coefficient is as follows: ; ; ; ; Where XBD represents the X-band detection evaluation coefficient of the X-band radar, n represents the time variable, , Indicates the monitoring start time point, Indicates monitoring the current time point. represents the frequency shift coincidence ratio of the X-band radar at time n, represents the radial velocity coincidence ratio of the X-band radar at time n, represents the reflectivity factor coincidence ratio of the X-band radar at time n, represents the X-band radar frequency of the X-band radar at time n, represents the radial velocity of the tornado at time n by the X-band radar, represents the X-band radar echo intensity at time n, represents the speed of light, represents the precipitation particle constant, Indicates the preset frequency shift threshold, Indicates the preset radial velocity threshold, The reflectivity factor threshold is preset, and e represents a natural constant.

[0027] In this embodiment, the aforementioned database is a database for storing various types of setting data established before the design of the data analysis method for X, C multi-band radar provided in the embodiment of the present application. The database includes but is not limited to particle radial velocity, echo power, propagation loss, etc., and various values ​​therein are directly set by technical personnel. For example, the preset frequency shift threshold is represented by the average value of the radar frequency shift in the historical time period in the database, the preset radial velocity threshold is represented by the average value of the radial velocity of the tornado particles in the historical time period in the database, the preset reflectivity factor threshold is represented by the average value of the radar reflectivity factor in the historical time period in the database, the precipitation particle constant is represented by the average value of the tornado particle constant in the historical time period in the database, and the speed of light is generally taken as (m / s).

[0028] It should be understood that the algorithm of this embodiment combines the X-band monitoring data for comprehensive analysis to obtain the X-band detection evaluation coefficient. The X-band monitoring data in the algorithm of this embodiment does not exist independently, but is interrelated. When a tornado moves on the ground, its radial velocity will change, that is, the frequency of the reflected radar signal will change. The higher the radar frequency, the higher its resolution. Since the radar echo intensity is related to the distance, shape, size of the target (tornado) and the scattering characteristics of electromagnetic waves, the change in the radial velocity of the tornado will directly affect the echo signal intensity and distribution received by the radar. When the tornado approaches the radar, the echo intensity may increase because the distance between the target and the radar is reduced, allowing more electromagnetic waves to be reflected back. The parameters of the algorithm of this embodiment need to consider the impact on the results together.

[0029] Specifically, assuming that the tornado moves at a radial velocity The range is 15-70 (m / s), and the radial velocity threshold is preset Fixed to 50 (m / s), such as Figure 3 As shown in FIG. 1 , a statistical diagram of the radial velocity coincidence ratio provided in this embodiment is shown. Figure 3 It can be seen that as the tornado moves radial velocity The radial velocity coincidence ratio and the frequency shift coincidence ratio gradually increase, which leads to the gradual increase of the X-band detection evaluation coefficient. This means that the radial velocity coincidence degree gradually improves, and the X-band radar can accurately quantify the refined coincidence of tornado detection in the preset monitoring area, thereby improving the accuracy of tornado detection analysis based on radar data.

[0030] Further, the specific process of judging whether to perform X-band adjustment based on the X-band detection evaluation coefficient is as follows: the first step is to judge whether the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database. When the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, it indicates that the refinement degree of the X-band radar is qualified and no X-band adjustment is performed, otherwise the second step is executed; the second step is to send a prompt to the preset personnel to adjust the pulse width of the X-band radar step by step by a preset multiple. When the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, it indicates that the refinement degree of the X-band radar is qualified and the X-band adjustment is stopped, otherwise the third step is executed; the third step is to send a prompt to the preset personnel to adjust the pulse signal transmission frequency of the X-band radar step by step by a preset multiple. When the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, it indicates that the refinement degree of the X-band radar is qualified and the X-band adjustment is stopped, otherwise an alarm prompt is sent to the preset personnel.

[0031] In this embodiment, the preset refinement threshold is represented by the average value of the X-band detection evaluation coefficient in the historical time period in the database. The preset multiple is generally 1, 2, 3, etc., and the pulse width of the X-band radar is gradually reduced by the preset multiple until the preset minimum pulse width. The smaller the pulse width of the X-band radar, the larger the bandwidth, and the smaller the distance difference that can be distinguished; the preset minimum pulse width is represented by the minimum value of the X-band radar pulse width in the historical time period in the database, and the pulse signal transmission frequency of the X-band radar is gradually increased by the preset multiple. Increasing the transmission frequency means that the radar can transmit more pulse signals in the same time, thereby improving the measurement resolution of the radar; the accuracy of tornado detection analysis based on radar data is improved.

[0032] Further, the specific process of obtaining the C-band detection evaluation coefficient according to the X-band adjusted X-band detection evaluation coefficient and the C-band monitoring data is as follows: B1, combining the C-band radar transmission power, antenna gain, mobile particle C-band radar scattering cross section and the first distance to obtain the initial echo power (that is, the C-band detection evaluation coefficient in the restricted expression ), the initial echo power is used to reflect the recognition of tornadoes by the C-band radar in the preset monitoring area; B2, obtain the echo power coincidence ratio (i.e., the value in the restricted expression of the C-band detection evaluation coefficient). ), the echo power coincidence ratio is represented by the result of the ratio operation between the initial echo power and the preset radar echo power threshold obtained from the database, and the echo power coincidence ratio is used to reflect the identification coincidence of the C-band radar for the tornado in the preset monitoring area; B3, the C-band detection evaluation coefficient is obtained by combining the echo power coincidence ratio, the preset first detection allocation weight, the preset second detection allocation weight and the X-band detection evaluation coefficient of the X-band radar after the X-band adjustment; the preset first detection allocation weight is used to evaluate the influence of the echo power coincidence ratio of the C-band radar on the C-band detection evaluation coefficient; the preset second detection allocation weight is used to evaluate the influence of the X-band detection evaluation coefficient on the C-band detection evaluation coefficient.

[0033] Among them, the limiting expression of the C-band detection evaluation coefficient is as follows: ; ; In the formula, represents the C-band detection evaluation coefficient of the C-band radar, n represents the time variable, , Indicates the monitoring start time point, Indicates monitoring the current time point. It represents the echo power coincidence ratio of the C-band radar at time n, It represents the X-band detection evaluation coefficient of the X-band radar after X-band adjustment. represents the C-band radar transmission power at time n, represents the antenna gain of the C-band radar at time n, represents the C-band radar cross section of a moving particle at time n, represents the first distance of the C-band radar at time n, Indicates the preset radar echo power threshold. Indicates the preset first detection allocation weight, represents the preset second detection allocation weight, and e represents a natural constant.

[0034] In this embodiment, the preset radar echo power threshold is represented by the average value of the radar echo power in the historical time period in the database; the sum of the preset first detection allocation weight and the preset second detection allocation weight is 1, for example, the preset first detection allocation weight is 0.5, and the preset second detection allocation weight is 0.5.

[0035] The preset first detection allocation weight is the weight corresponding to the preset radar echo power value in the database, which represents the influence degree of the radar echo power value on the C-band detection evaluation coefficient. When used, the weight corresponding to the preset radar echo power value can be directly obtained from the database, and the corresponding relationship can be a pre-set mapping relationship. For example, the radar echo power in the tornado monitoring training set and the weight corresponding to the preset radar echo power value in the database form a mapping set, and the real-time radar echo power is input into the mapping set to obtain the corresponding weight, wherein the mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is [0, 1].

[0036] It should be understood that the algorithm of this embodiment combines the C-band monitoring data and the X-band detection evaluation coefficient for comprehensive analysis to obtain the C-band detection evaluation coefficient. In the algorithm of this embodiment, the C-band monitoring data and the X-band detection evaluation coefficient do not exist independently, but are interrelated. The transmission power and antenna gain of the C-band radar may directly affect its detection capability of tornadoes, thereby affecting the X-band detection evaluation coefficient. When the transmission power and antenna gain of the C-band radar are higher, its detection capability is stronger and it can detect farther distances. This helps to improve the X-band detection evaluation coefficient, because a stronger C-band signal may mean more accurate detection results. A larger scattering cross section means a stronger reflected signal, which helps the C-band radar detect targets more accurately. The parameters of the algorithm of this embodiment need to consider their impact on the results together.

[0037] Specifically, assuming that the echo power meets the ratio The range is 0.5-1, and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment The range is 0.5-1, and the monitoring start time point Fixed to 1, monitoring the current time point The first detection allocation weight is fixed to 50, the first detection allocation weight is preset to 0.5, and the second detection allocation weight is preset to 0.5. As shown in Table 1, a statistical table of changes in the C-band detection evaluation coefficient provided in an embodiment of the present application is shown as follows: Table 1 Statistics of changes in C-band detection evaluation coefficients

[0038] From the above table, we can see that as the echo power meets the ratio and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment The C-band detection evaluation coefficient It also gradually increases, which means that the compliance of the C-band radar's ability to detect tornadoes in the preset monitoring area is gradually improved, realizing the accurate quantification of the compliance of the C-band radar's ability to detect tornadoes in the preset monitoring area, and then realizing the improvement of the accuracy of tornado detection analysis based on radar data.

[0039] Furthermore, the specific process of judging whether to perform C-band adjustment based on the C-band detection evaluation coefficient is as follows: Step 1, judging whether the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database. When the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, it indicates that the detection capability of the C-band radar is qualified and no C-band adjustment is performed. Otherwise, step 2 is executed; Step 2, signal processing is performed. When the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, it indicates that the detection capability of the C-band radar is qualified and the C-band adjustment is stopped. Otherwise, step 3 is executed. Signal processing indicates that the anti-interference capability of the C-band radar signal is improved by a signal processing algorithm; Step 3, sending a prompt to the preset personnel to adjust the deployment angle of the C-band radar at a preset angle. When the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, it indicates that the detection capability of the C-band radar is qualified and the C-band adjustment is stopped. Otherwise, an alarm prompt is sent to the preset personnel.

[0040] In this embodiment, the signal processing algorithm includes adaptive filtering, constant false alarm processing, etc. This embodiment improves the anti-interference ability of the C-band radar signal through adaptive filtering. Adaptive filtering is a signal processing technology that can automatically adjust the filter parameters to minimize the error according to the error between the radar input signal and the expected output signal. The deployment angle of the C-band radar is gradually increased at a preset angle until the preset maximum deployment angle of the C-band radar is reached. The preset maximum deployment angle of the C-band radar is represented by the maximum value of the C-band radar deployment angle in the historical time period in the database; the accuracy of tornado detection analysis based on radar data is improved.

[0041] Further, the specific process of obtaining the micro-pressure evaluation coefficient according to the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data is as follows: C1, combining the second distance and the X-band radar wavelength to obtain the initial X-band loss (that is, ), the initial X-band loss is used to reflect the propagation loss of the X-band radar; C2, obtain the X-band loss compliance ratio (i.e., the limit expression of the micro-pressure evaluation coefficient ), the X-band loss compliance ratio is expressed by the difference between the initial X-band loss and the preset X-band propagation loss threshold obtained from the database. The X-band loss compliance ratio is used to reflect the propagation loss compliance of the X-band radar; C3, the initial C-band loss is obtained by combining the third distance and the wavelength of the C-band radar (i.e., the value in the limiting expression of the micro-pressure evaluation coefficient). ), the initial C-band loss is used to reflect the propagation loss of the C-band radar; C4, obtains the C-band loss compliance ratio (i.e., the limit expression of the micro-pressure evaluation coefficient ), the C-band loss compliance ratio is expressed by the difference between the initial C-band loss and the preset C-band propagation loss threshold obtained from the database. The C-band loss compliance ratio is used to reflect the propagation loss compliance of the C-band radar; C5, obtain the micro-pressure change compliance ratio (i.e., the micro-pressure evaluation coefficient in the limiting expression ), the micro-pressure change compliance ratio is expressed by the result of the ratio operation between the pressure change and the preset micro-pressure change threshold obtained from the database. The micro-pressure change compliance ratio is used to reflect the compliance of the micro-pressure change in the preset monitoring area; C6, the micro-pressure evaluation coefficient is obtained by combining the X-band loss compliance ratio, the C-band loss compliance ratio, the micro-pressure change compliance ratio and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment.

[0042] Among them, the limiting expression of the micro-pressure evaluation coefficient is as follows: ; ; ; ; In the formula, represents the micropressure evaluation coefficient of the micromanometer, n represents the time variable, , Indicates the monitoring start time point, Indicates monitoring the current time point. represents the X-band loss coincidence ratio of the micromanometer at time n, represents the C-band loss compliance ratio of the micromanometer at time n, It represents the micropressure change ratio of the micromanometer at time n, It represents the X-band detection evaluation coefficient of the X-band radar after X-band adjustment. represents the second distance of the micromanometer at time n, represents the third distance of the micromanometer at time n, represents the wavelength of the X-band radar at time n, represents the wavelength of the C-band radar at time n, represents the pressure change of the micromanometer at time n, Indicates the preset X-band propagation loss threshold. Indicates the preset C-band propagation loss threshold, represents the preset micro-pressure change threshold, and e represents the natural constant.

[0043] Specifically, the specific process of judging whether to make a severe convection prediction based on the micro-pressure assessment coefficient is as follows: judging whether the micro-pressure assessment coefficient is not lower than the preset micro-pressure threshold obtained from the database; when the micro-pressure assessment coefficient is not lower than the preset micro-pressure threshold obtained from the database, a severe convection prediction is made; when the micro-pressure assessment coefficient is lower than the preset micro-pressure change threshold obtained from the database, the X-band radar is in the default observation mode.

[0044] In this embodiment, the preset X-band propagation loss threshold is represented by the average value of the X-band radar propagation loss in the historical time period in the database, the preset C-band propagation loss threshold is represented by the average value of the C-band radar propagation loss in the historical time period in the database, the preset micro-pressure change threshold is represented by the average value of the pressure change measured by the micromanometer in the historical time period in the database, and the preset micro-pressure threshold is represented by the average value of the micro-pressure evaluation coefficient in the historical time period in the database.

[0045] It should be understood that the algorithm of this embodiment combines the micro-pressure detection data and the C-band detection evaluation coefficient for comprehensive analysis to obtain the micro-pressure evaluation coefficient. In the algorithm of this embodiment, the micro-pressure detection data and the C-band detection evaluation coefficient do not exist independently, but are interrelated. The pressure change in the micro-pressure detection data directly reflects the micro-pressure dynamics in the monitoring area. When the pressure change is higher, it may mean that the ability to detect tornadoes is stronger, the longer the wavelength, the stronger the penetration ability may be, and the shorter the wavelength, the higher the resolution may be, but the penetration ability may be limited. The synergy between the micro-pressure detection data and the C-band detection evaluation coefficient can enhance the overall detection capability. The parameters of the algorithm of this embodiment need to be considered together and at the same time to influence the results; the accurate quantification of the micro-pressure changes in the preset monitoring area is achieved, thereby achieving the improvement of the accuracy of the analysis of tornado detection based on radar data.

[0046] Furthermore, the specific process of severe convection prediction is as follows: the C-band radar triggers a coordination command, which is used to mobilize the X-band radar for coordinated scanning; the cross-area echo and radar data three-dimensional grid field are obtained through a synchronous acquisition algorithm; the scanning azimuth range is obtained, the band radar is mobilized to perform fixed-point synchronous fan-scan tracking and analysis, the lookout camera is mobilized to track the target in real time, and the scanning azimuth range is used to lock the target area.

[0047] like Figure 4As shown, the radar detection network provided by the embodiment of the present application, the C-band radar is mainly for alert. Once a strong meteorological echo is found and a suspicious target is identified, a coordinated command is immediately triggered to mobilize the X-band radar for coordinated scanning, and the cross-region echo is obtained according to the synchronous acquisition algorithm to obtain the 3D grid field of radar data with the optimal resolution of 30m×30m×31.25m for the 8km altitude network; the scanning azimuth range is calculated according to the size, position, and intensity of each target area (tornado area), the target area is locked, and the precise analysis command is triggered. The policy server interprets the command and mobilizes the most suitable X-band radar for fixed-point synchronous fan scanning tracking and analysis to obtain three-dimensional stereo information, and at the same time mobilizes the observation camera to track the target (tornado) in real scene. If multiple suspicious targets are found at the same time, they are scanned in time according to the priority based on the weight coefficient of the target area; the accuracy of tornado detection analysis based on radar data is improved.

[0048] In summary, the embodiment of the present application obtains the X-band detection evaluation coefficient through X-band monitoring data and determines whether to perform X-band adjustment, then obtains the C-band detection evaluation coefficient according to the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data and determines whether to perform C-band adjustment, and finally obtains the micro-pressure evaluation coefficient according to the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data and determines whether to perform severe convection prediction, thereby improving the reliability of tornado prediction, and then achieving an improvement in the accuracy of tornado detection analysis based on radar data, effectively solving the problem of low accuracy of tornado detection analysis based on radar data in the prior art.

[0049] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0050] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0051] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0052] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0053] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0054] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A data analysis method for X, C multi-band radar, characterized in that: The following steps are involved: S1, obtaining X-band monitoring data, C-band monitoring data and micro-pressure detection data according to the deployed preset tornado monitoring network; S2, obtaining an X-band detection evaluation coefficient according to the X-band monitoring data, and determining whether to perform an X-band adjustment based on the X-band detection evaluation coefficient, wherein the X-band detection evaluation coefficient is used to evaluate the refinement compliance of the X-band radar in detecting a tornado in a preset monitoring area; S3, obtaining a C-band detection evaluation coefficient according to the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data, and judging whether to perform the C-band adjustment based on the C-band detection evaluation coefficient, wherein the C-band detection evaluation coefficient is used to evaluate the compliance of the C-band radar's ability to detect tornadoes in a preset monitoring area; S4, obtaining a micro-pressure assessment coefficient according to the C-band detection assessment coefficient after the C-band adjustment and the micro-pressure detection data, and judging whether to make a severe convection prediction based on the micro-pressure assessment coefficient, wherein the micro-pressure assessment coefficient is used to assess the compliance of micro-pressure changes in a preset monitoring area.

2. The data analysis method for X, C multi-band radar as claimed in claim 1, characterized in that: The X-band monitoring data includes X-band radar frequency, tornado moving radial velocity and X-band radar echo intensity; The tornado moving radial velocity represents the radial moving velocity of the tornado relative to the X-band radar in the preset monitoring area; The C-band monitoring data includes C-band radar transmission power, antenna gain, mobile particle C-band radar scattering cross section and first distance; The first distance represents the distance between the tornado particles and the C-band radar in the preset monitoring area; The micro-pressure detection data includes pressure variation, second distance, third distance, X-band radar wavelength and C-band radar wavelength; The second distance represents the distance between the X-band radar and the microwave meter in the preset monitoring area; The third distance represents the distance between the C-band radar and the microwave meter within the preset monitoring area.

3. The data analysis method for X, C multi-band radar as claimed in claim 2, characterized in that: The specific process of obtaining the X-band detection evaluation coefficient according to the X-band monitoring data is as follows: A1, combining the radial velocity of the tornado, the X-band radar frequency and the speed of light obtained from the database to obtain the initial frequency shift; A2, obtaining a frequency shift coincidence ratio, wherein the frequency shift coincidence ratio is represented by a result of a ratio operation between an initial frequency shift and a preset frequency shift threshold obtained from a database; A3, obtaining a radial velocity coincidence ratio, wherein the radial velocity coincidence ratio is represented by a result of a ratio operation between the radial velocity of the tornado and a preset radial velocity threshold value obtained from a database; A4, combining the X-band radar echo intensity and the precipitation particle constant to obtain an initial reflectivity factor, wherein the initial reflectivity factor is used to reflect the echo reflection of the X-band radar in a preset monitoring area; A5, obtaining a reflectivity factor coincidence ratio, where the reflectivity factor coincidence ratio is used to reflect the echo reflection coincidence of the X-band radar in a preset monitoring area; A6, combine the frequency shift coincidence ratio, radial velocity coincidence ratio and reflectivity factor coincidence ratio to obtain the X-band detection evaluation coefficient.

4. The data analysis method for X, C multi-band radar as claimed in claim 3, characterized in that: The limiting expression of the X-band detection evaluation coefficient is as follows: ； ； ； ； Where XBD represents the X-band detection evaluation coefficient of the X-band radar, n represents the time variable, , Indicates the monitoring start time point, Indicates monitoring the current time point. represents the frequency shift coincidence ratio of the X-band radar at time n, represents the radial velocity coincidence ratio of the X-band radar at time n, represents the reflectivity factor coincidence ratio of the X-band radar at time n, represents the X-band radar frequency at time n, represents the radial velocity of the tornado at time n by the X-band radar, represents the X-band radar echo intensity at time n, represents the speed of light, represents the precipitation particle constant, Indicates the preset frequency shift threshold, Indicates the preset radial velocity threshold, The reflectivity factor threshold is preset, and e represents a natural constant.

5. The data analysis method for X, C multi-band radar as claimed in claim 2, characterized in that: The specific process of judging whether to perform X-band adjustment based on the X-band detection evaluation coefficient is as follows: The first step is to determine whether the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database. When the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, no X-band adjustment is performed, otherwise the second step is performed; The second step is to send a prompt to the preset personnel to adjust the pulse width of the X-band radar step by step by the preset multiple. When the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, the X-band adjustment is stopped, otherwise the third step is executed; The third step is to send a prompt to the preset personnel to adjust the pulse signal transmission frequency of the X-band radar step by step with a preset multiple. When the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, the X-band adjustment is stopped, otherwise an alarm prompt is sent to the preset personnel.

6. The data analysis method for X, C multi-band radar as claimed in claim 2, characterized in that: The specific process of obtaining the C-band detection evaluation coefficient according to the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data is as follows: B1, combining the C-band radar transmission power, antenna gain, mobile particle C-band radar scattering cross section and the first distance to obtain the initial echo power, wherein the initial echo power is used to reflect the recognition of the tornado by the C-band radar in the preset monitoring area; B2, obtaining an echo power coincidence ratio, wherein the echo power coincidence ratio is represented by a result of a ratio operation between an initial echo power and a preset radar echo power threshold obtained from a database, and the echo power coincidence ratio is used to reflect the identification compliance of a tornado by a C-band radar in a preset monitoring area; B3, obtaining a C-band detection evaluation coefficient by combining the echo power coincidence ratio, the preset first detection allocation weight, the preset second detection allocation weight, and the X-band detection evaluation coefficient of the X-band radar after the X-band adjustment.

7. The data analysis method for X, C multi-band radar as claimed in claim 6, characterized in that: The specific process of judging whether to perform C-band adjustment based on the C-band detection evaluation coefficient is as follows: Step 1: determine whether the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database. When the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, no C-band adjustment is performed, otherwise, step 2 is executed; Step 2: perform signal processing. When the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, stop the C-band adjustment. Otherwise, execute step 3. Step three, send a prompt to the preset personnel to adjust the deployment angle of the C-band radar at a preset angle. When the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, stop the C-band adjustment, otherwise send an alarm prompt to the preset personnel.

8. The data analysis method for X, C multi-band radar as claimed in claim 2, characterized in that: The specific process of obtaining the micro-pressure evaluation coefficient according to the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data is as follows: C1, combining the second distance and the wavelength of the X-band radar to obtain an initial X-band loss, where the initial X-band loss is used to reflect the propagation loss of the X-band radar; C2, obtaining an X-band loss compliance ratio, wherein the X-band loss compliance ratio is represented by a difference calculation result between an initial X-band loss and a preset X-band propagation loss threshold obtained from a database, and the X-band loss compliance ratio is used to reflect the propagation loss compliance of the X-band radar; C3, combining the third distance and the wavelength of the C-band radar to obtain an initial C-band loss, where the initial C-band loss is used to reflect the propagation loss of the C-band radar; C4, obtaining a C-band loss compliance ratio, wherein the C-band loss compliance ratio is represented by a difference calculation result between an initial C-band loss and a preset C-band propagation loss threshold obtained from a database, and the C-band loss compliance ratio is used to reflect the propagation loss compliance of the C-band radar; C5, obtaining a micro-pressure change compliance ratio, which is represented by a result of a ratio operation between the pressure change amount and a preset micro-pressure change threshold obtained from a database, and is used to reflect the compliance of micro-pressure changes in a preset monitoring area; C6, obtains the micro-pressure evaluation coefficient by combining the X-band loss coincidence ratio, the C-band loss coincidence ratio, the micro-pressure change coincidence ratio and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment.

9. The data analysis method for X, C multi-band radar as claimed in claim 8, characterized in that: The specific process of judging whether to perform severe convection prediction based on the micro-pressure evaluation coefficient is as follows: Determine whether the micro-pressure evaluation coefficient is not lower than the preset micro-pressure threshold obtained from the database, and when the micro-pressure evaluation coefficient is not lower than the preset micro-pressure threshold obtained from the database, perform severe convection prediction; When the micro-pressure evaluation coefficient is lower than the preset micro-pressure change threshold obtained from the database, the X-band radar is in the default observation mode.

10. The data analysis method for X, C multi-band radar as claimed in claim 9, characterized in that: The specific process of severe convection prediction is as follows: A C-band radar triggering coordination command, wherein the triggering coordination command is used to mobilize the X-band radar for coordinated scanning; Acquire the cross-region echo and radar data three-dimensional grid field through synchronous acquisition algorithm; The scanning azimuth angle range is obtained, the band radar is mobilized to perform fixed-point synchronous sector scanning tracking and analysis, and the observation camera is mobilized to track the target in real scene. The scanning azimuth angle range is used to lock the target area.

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