Radar training apparatus, radar training method, and radar training program

Abstract

To easily perform detection and tracking training assuming weather conditions.SOLUTION: The clutter signal generating module 27 generates, from the weather observation data 51 including the information on the rain cloud in the target area, a simulated clutter signal simulating a clutter signal generated when a beam is irradiated from the radar to the target area. A target signal generation part 35 generates a simulated target signal which is a reflection signal from a simulated target when the simulated target exists in a beam of a radar. The signal superimposing module 43 generates the simulated reception signal by superimposing the simulated clutter signal generated by the clutter signal generating module 27 and the simulated target signal generated by the target signal generating module 35.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present disclosure relates to a technique for enabling training in target detection and tracking in an environment where weather clutter occurs. [Background technology]

[0002] Patent Document 1 describes a simulated signal generator. This simulated signal generator is capable of generating clutter pseudo signals for training radar to detect and track targets. By using this simulated signal generator, radar detection and tracking training can be performed by generating target and clutter signals according to a training scenario. However, although Patent Document 1 allows for the setting and generation of pseudo clutter signals, it does not provide a means for reflecting actual weather conditions in the setting of the pseudo clutter signals. Therefore, it is only possible to generate simple pseudo clutter signals that are uniformly distributed within a geometric range, such as a sector with a set azimuth angle and distance width. Note that here, weather clutter based on waves reflected from rain clouds will simply be referred to as "clutter." [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 5-72320 Summary of the Invention [Problem to be solved by the invention]

[0004] When training in target detection and tracking under various assumed weather conditions, a mechanism is required to set and generate clutter locations and signal intensities that correspond to actual weather conditions. However, the radar training device described in Patent Document 1 does not have such a mechanism, making it difficult to conduct detection and tracking training under various assumed weather conditions. The present disclosure aims to make it possible to easily carry out detection and tracking training that takes into account weather conditions. [Means for solving the problem]

[0005] The radar training device according to the present disclosure comprises: a clutter signal generator that generates, from meteorological observation data including information on rain clouds in a target area, a simulated clutter signal that simulates a clutter signal that is generated when a radar beam is irradiated onto the target area; a target signal generating unit that generates a simulated target signal, which is a signal reflected from the simulated target when the simulated target is present within the radar beam; a signal superimposing unit that generates a simulated received signal by superimposing the simulated clutter signal generated by the clutter signal generating unit and the simulated target signal generated by the target signal generating unit; Equipped with. [Effects of the Invention]

[0006] In the present disclosure, a simulated clutter signal is generated from meteorological observation data, and a simulated received signal is generated by superimposing the simulated clutter signal on a simulated target signal. By using the simulated received signal, it is possible to conduct simulated target detection and tracking training that takes into account the simulated clutter signal generated from meteorological observation data. In other words, it is possible to easily conduct detection and tracking training that assumes various weather conditions without any special settings or the like. [Brief explanation of the drawings]

[0007] [Figure 1] 1 is a hardware configuration diagram of a radar training device 10 according to a first embodiment. [Figure 2] 1 is a functional configuration diagram of a radar training device 10 according to a first embodiment. [Figure 3] 1 is an explanatory diagram of a radar device 100 that is a training target of a radar training device 10 according to a first embodiment. [Figure 4] 3 is an explanatory diagram of the operating states of transmission and reception by the radar device 100 according to the first embodiment. FIG. [Figure 5] 4 is a flowchart of a process for generating a simulated clutter signal by the clutter generator 20 according to the first embodiment. [Figure 6] 4 is a flowchart of a process for generating a simulated target signal by a target generator 30 according to the first embodiment. [Figure 7] 4 is a flowchart of a process for generating a simulated received signal by a training object simulation unit 40 according to the first embodiment. [Figure 8] FIG. 2 is an explanatory diagram of a distribution area of ​​meteorological observation data 51 according to the first embodiment. [Figure 9] FIG. 3 is a diagram illustrating clutter reflection coefficients according to the first embodiment. [Figure 10] FIG. 3 is an explanatory diagram of how clutter occurs in a beam according to the first embodiment. [Figure 11] FIG. 3 is an explanatory diagram of clutter information according to the first embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0008] Embodiment 1 ***Configuration Description*** The hardware configuration of a radar training device 10 according to the first embodiment will be described with reference to FIG. The radar training device 10 is a computer. The radar training device 10 includes hardware components such as a processor 11, a memory 12, a storage 13, and a communication interface 14. The processor 11 is connected to other hardware components via signal lines and controls the other hardware components.

[0009] The processor 11 is an IC that performs processing. IC stands for Integrated Circuit. Specific examples of the processor 11 include a CPU, a DSP, and a GPU. CPU stands for Central Processing Unit. DSP stands for Digital Signal Processor. GPU stands for Graphics Processing Unit.

[0010] The memory 12 is a storage device that temporarily stores data. Specific examples of the memory 12 include SRAM and DRAM. SRAM stands for Static Random Access Memory. DRAM stands for Dynamic Random Access Memory.

[0011] The storage 13 is a storage device that stores data. A specific example of the storage 13 is an HDD. HDD is an abbreviation for Hard Disk Drive. The storage 13 may also be a portable recording medium such as an SD (registered trademark) memory card, CompactFlash (registered trademark), NAND flash, a flexible disk, an optical disk, a compact disk, a Blu-ray (registered trademark) disk, or a DVD. SD is an abbreviation for Secure Digital. DVD is an abbreviation for Digital Versatile Disk.

[0012] The communication interface 14 is an interface for communicating with external devices. Specific examples of the communication interface 14 include Ethernet (registered trademark), USB, and HDMI (registered trademark) ports. USB stands for Universal Serial Bus. HDMI stands for High-Definition Multimedia Interface.

[0013] The functional configuration of the radar training device 10 according to the first embodiment will be described with reference to FIG. The radar training device 10 includes, as functional components, a clutter generator 20, a target generator 30, and a training object simulator 40. The clutter generation unit 20 includes a meteorological data acquisition unit 21, an intensity calculation unit 22, a Doppler calculation unit 23, a clutter location calculation unit 24, a clutter visibility calculation unit 25, a clutter beam inside / outside calculation unit 26, and a clutter signal generation unit 27. The target generation unit 30 includes a platform position calculation unit 31 , a target scenario generation unit 32 , a target visibility calculation unit 33 , a target beam inside / outside calculation unit 34 , and a target signal generation unit 35 . The training object simulation unit 40 includes an antenna beam scanning unit 41 , a receiver noise generating unit 42 , a signal superimposing unit 43 , a clutter suppressing unit 44 , and a target detecting unit 45 . The functions of each functional component of the radar training device 10 are realized by software. Storage 13 stores programs that realize the functions of each functional component of the radar training device 10. These programs are loaded into memory 12 by processor 11 and executed by processor 11. In this way, the functions of each functional component of the radar training device 10 are realized.

[0014] The radar training device 10 is a computer that performs radar training using meteorological observation data 51 as input. The meteorological observation data 51 includes information on a rain cloud concentration map 52 and a wind direction and speed map 53. The radar training device 10 is connected to an operation display device 60. The radar training device 10 receives input from a user via the operation display device 60 during training.

[0015] ***Explanation of Operation*** The operation of the radar training device 10 according to the first embodiment will be described with reference to FIGS. The operation procedure of the radar training device 10 according to the embodiment 1 corresponds to the radar training method according to the embodiment 1. Moreover, the program that realizes the operation of the radar training device 10 according to the embodiment 1 corresponds to the radar training program according to the embodiment 1.

[0016] With reference to FIG. 3, the radar device 100 that is the training target of the radar training device 10 according to the first embodiment will be described. The radar training device 10 is a device for training in target detection and tracking in a cluttered environment, with a radar device 100 that detects and tracks targets such as aircraft or ships in an environment where clutter such as rain clouds is present.

[0017] The radar device 100 includes an antenna 101, an antenna controller 102, a circulator 103, a transmitter 104, a receiver 105, a signal processor 106, a computer 107, and an operation display 108. The antenna 101 transmits a beam 111, which is a transmission signal, and receives reflected waves from a target 112, clutter 113, etc. as a reception signal. The antenna controller 102 drives the antenna 101. The circulator 103 switches between transmitting and receiving signals. The transmitter 104 generates a radar transmission wave, which is the transmission signal. The receiver 105 receives a reception signal, which is a reflection wave from a target 112, etc. The signal processor 106 suppresses clutter on the reception signal, detects the target signal, and calculates the observation position. The computer 107 performs tracking processing from the observation position of the target 112 and calculates the position and speed trail of the target 112. The operation display 108 displays information necessary for radar operation and allows operation. The operation display 108 is the same device as the operation display 60.

[0018] The operation states of transmission and reception by the radar device 100 according to the first embodiment will be described with reference to FIG. In Fig. 4, the horizontal axis represents time and the vertical axis represents signal amplitude. The operating state of the radar device 100 is divided into a transmission time period 121 and a reception time period 122. A transmission pulse 123 is a transmission signal transmitted during the transmission time period 121. The reception time period 122 indicates the distance range for processing by the radar device 100, and during this time period, amplitude values ​​obtained by A / D converting the detected reception signal for each distance resolution are arranged. A / D stands for Analog / Digital. The reception signal received during the reception time period 122 includes receiver noise 124, a target signal 125 that is a reflection from the target 112, and clutter 126 that is a signal reflected from rain clouds.

[0019] In this state, the radar device 100 continues to detect the target signal 125 and generate the target observation position. Then, the radar device 100 tracks the target by repeating transmission and reception, and identifies the position and velocity trail of the target. In Figure 4, target 112 is located in an area free of clutter 113. However, if target 112 moves into an area where clutter 113 exists, it becomes difficult to detect. In order to detect this target 112, it is necessary to perform appropriate operations related to clutter suppression and target detection from operation display 108. Training in these operations is the main purpose of radar training device 10.

[0020] The processing flow of the radar training device 10 according to the first embodiment will be described with reference to FIGS. The radar training device 10 mainly performs the process of generating a simulated received signal by the training object simulation unit 40 shown in FIG. 7, the process of generating a simulated clutter signal by the clutter generation unit 20 shown in FIG. 5, and the process of generating a simulated target signal by the target generation unit 30 shown in FIG. 6.

[0021] The process of generating a simulated clutter signal by the clutter generator 20 according to the first embodiment will be described with reference to FIG. (Step S11: Weather data acquisition process) The meteorological data acquiring unit 21 acquires meteorological observation data 51. The meteorological observation data 51 is data including information on rain clouds in a target area. The meteorological observation data 51 is reference data for generating clutter signals. For example, the meteorological data acquiring unit 21 acquires meteorological information provided by the Japan Meteorological Business Support Center, a general incorporated foundation, as the meteorological observation data 51.

[0022] The local numerical forecast model (LFM) is a forecast model that covers the area surrounding Japan. LFM stands for Local Forecast Model. The information obtained by a local numerical forecast model is in the form of GPV, or grid point value. GPV stands for Grid Point Value. In other words, a local numerical forecast model divides the Earth into grids at regular distances, analyzes them using numerical forecast models for weather (atmosphere) or waves, and analyzes the trends of each grid. A local numerical forecast model is a numerical forecast model that calculates an area that covers the entirety of Japan at a horizontal interval of 2 km (kilometers). Data distribution elements include sea level pressure, surface pressure, wind (2 elements), temperature, relative humidity, accumulated precipitation, cloud cover (4 elements), and solar radiation. The wind (2 elements) indicates east-west and north-south components. The cloud cover (4 elements) indicates the total cloud cover and the cloud area type classification of high clouds, middle clouds, and low clouds. The update interval for each data is approximately 1 hour and 30 minutes. As shown in Figure 8, the distribution area is from 22.4 degrees to 47.6 degrees north latitude and from 120 degrees to 150 degrees east longitude. In other words, the distribution area is an area with (47.6N, 120.0E) at its northwestern edge and (22.4E, 150.0E) at its southeastern edge.

[0023] Here, it is assumed that the radar training device 10 will conduct training assuming a situation in which radar coverage exists within the distribution area of ​​this weather information. This makes it possible to acquire meteorological observation data 51 stored in a grid pattern including the radar coverage centered on the installation position of the radar device 100 that is the training target. Note that, taking into consideration the possibility that the radar training device 10 will move during operation, the meteorological data acquisition unit 21 acquires meteorological observation data 51 from a wide area with some leeway.

[0024] When the meteorological data acquisition unit 21 acquires the meteorological observation data 51 stored in the grid pattern described above, it extracts cloud cover, precipitation amount, wind direction, and wind speed. The cloud cover represents the four cloud area types described above and also includes information indicating the altitude at which rain clouds form. The meteorological data acquisition unit 21 then generates a rain cloud concentration map 52 indicating cloud cover and precipitation amount, and a wind direction and wind speed map 53 indicating wind direction and wind speed. Specifically, the meteorological data acquisition unit 21 extracts cloud cover and precipitation amount within the radar coverage area, which is the target area, from the meteorological data stored in the grid pattern, and generates the rain area concentration map 4 by arranging the rain area concentration for each grid point position that may cause clutter in a table. The meteorological data acquisition unit 21 also extracts wind direction and wind speed within the radar coverage area, which is the target area, from the meteorological data stored in the grid pattern, and generates the wind direction and wind speed map 53 by arranging the wind direction and wind speed for each grid point position in a table.

[0025] (Step S12: Strength calculation process) The intensity calculation unit 22 refers to the rain cloud concentration map 52 and calculates the radar effective reflection area RCS, which is the area that reflects radio waves in the direction of the antenna 101 when a beam is irradiated from the radar device 100, for each grid point position within the radar coverage area, which is the target area.

[0026] Specifically, the intensity calculation unit 22 calculates the radar reflection area of ​​clutter for each position within the radar coverage area from the positions and precipitation amounts of rain clouds indicated by the rain cloud concentration map 52. The reflection coefficient of clutter is set to σ0. The reflection coefficient σ0 indicates the reflection area per unit volume in space. The unit of the reflection coefficient σ0 is (dBm 2 / m 3 ) The reflection coefficient σ0 is assumed to follow equation 1.

number

[0027] It is also known that the reflection coefficient σ0 is affected by the radar frequency, rainfall conditions, etc. Therefore, as shown in Figure 9, the clutter reflection coefficient according to the cloud cover and precipitation amount at the radar transmission frequency is quantified in advance.

[0028] Next, the intensity calculation unit 22 calculates the radar effective reflective area RCS of the cloud area from the cloud area type and precipitation amount indicated by the rain cloud concentration map 52. The radar effective reflective area RCS is said to be affected by the size and shape of raindrops, etc., but here the intensity calculation unit 22 calculates it using a simple method. As shown in Fig. 10, the radar effective reflective area RCS of the rain cloud 135 depends on the beam width (vertical beam width 132 and horizontal beam width 133) and transmission pulse width 134 of the beam 131 of the radar 130 irradiating the rain cloud, and the volume of the irradiated space. Therefore, the intensity calculation unit 22 calculates σ, which is the radar effective reflective area RCS of the cloud area. c is calculated using Equation 2, which depends on the radar beam width, the transmission pulse width, and the volume of the illuminated space.

number

[0029] (Step S13: Doppler calculation process) The Doppler calculation unit 23 refers to the wind direction and wind speed map 53 and calculates the approach speed of the rain cloud to the radar device 100 from the wind direction and wind speed for each grid point position within the radar coverage area. Then, the Doppler calculation unit 23 calculates the Doppler frequency of the radar reflected wave from the approach speed of the rain cloud for each grid point position within the radar coverage area.

[0030] Here, the Doppler calculation unit 23 calculates the approach speed relative to the installation position of the antenna 101 of the radar device 100 based on the wind direction and wind speed as follows. The Doppler calculation unit 23 calculates the average wind direction as B w (deg), and the average wind speed is S w (m / s), and the wind speed in the X and Y directions is X w ,Y w is calculated using Equation 3.

number

number

[0031] Note that the wind direction and wind speed are averaged. Therefore, the approach velocity component of the wind speed is also an average value. Therefore, the Doppler calculation unit 23 calculates the amount of change in the approach velocity component of the wind speed and sets it as the fluctuation component. This makes it possible to more closely approximate the characteristics of actual clutter. Specifically, the Doppler calculation unit 23 calculates the approach velocity component of the wind speed at each time as DRwi , n is the number of moving average samples, and the moving average value of the wind speed approach velocity component mDRw i is calculated using Equation 5.

number

number

number

[0032] (Step S14: Clutter placement calculation process) The clutter location calculation unit 24 converts the table of the radar effective reflection area RCS calculated in step S12 and the Doppler frequency calculated in step S13 into a polar coordinate table for each lattice point position within the radar coverage area. That is, the clutter location calculation unit 24 converts the table for each lattice point position, which is an X, Y coordinate system in space, into a table of polar coordinates (azimuth section) centered on the radar equipment position as shown in Fig. 11. At this time, if one azimuth section includes multiple X, Y tables, the clutter location calculation unit 24 takes into consideration, for example, setting the maximum value among them.

[0033] In Figure 11, the azimuth section number corresponds to the radar beam number that scans the azimuth section. Figure 11 shows the radar specifications for each distance for each azimuth section number. Distance R1 is the minimum distance of the radar coverage area, and distance Rmax is the maximum distance of the radar coverage area. The cloud area range indicates the presence or absence of clutter and the height of rain clouds depending on the cloud cover. RCS indicates the radar effective reflection area of ​​clutter within the beam. The mean and fluctuation components of the Doppler frequency of the reflected signal from the clutter are shown. By generating the Doppler mean as the frequency center value and the fluctuation component as a 1σ value according to a normal distribution, it is possible to vary the clutter signal during training.

[0034] (Step S15: Clutter line-of-sight calculation process) The clutter visibility calculation unit 25 takes into account the curvature of the earth and calculates the radar visibility distance Ro for the cloud height depending on the cloud cover using Equation 8.

number

[0035] The clutter visibility calculation unit 25 sets only rain clouds within the radar visibility distance Ro as clutter generation factors.

[0036] (Step S16: Clutter beam inside / outside calculation processing) The clutter beam inside / outside calculation unit 26 compares the direction, which is the pointing position of the beam controlled by the antenna beam scanning unit 41 (described later), with the position of the rain clouds set as the cause of clutter. The clutter beam inside / outside calculation unit 26 identifies the rain clouds set as the cause of clutter that exist within the beam. Then, the clutter beam inside / outside calculation unit 26 refers to the table shown in FIG. 11 to obtain the distance and RCS, as well as the average value and fluctuation of the Doppler frequency, for the identified rain clouds.

[0037] (Step S17: Clutter signal generation process) The clutter signal generator 27 generates a simulated clutter signal for the clutter caused by the rain cloud identified in step S16. Specifically, the clutter signal generator 27 calculates the reflected power from clutter when the beam is directed toward a cloud area from the radar beam scanning information, and generates a simulated clutter signal. The reflected power from clutter is the power reflected by the cloud area observed by the radar. The clutter signal generator 27 calculates the reflected power Pc from the cloud area using Equation 9.

number

[0038] At the same time, the clutter signal generator 27 simulates the Doppler information of the clutter from the approach speed information calculated from the wind direction and wind speed. Then, the clutter signal generator 27 calculates the average value of the central Doppler frequency as fmdrw i and the standard deviation fsdrw i is set according to random numbers of normal distribution to generate a simulated clutter signal.

[0039] Referring to FIG. 6, the process of generating a simulated target signal by the target generator 30 according to the first embodiment will be described. (Step S21: Platform position calculation process) The platform position calculation unit 31 calculates the installation position of the radar device 100. When the radar device 100 is mounted on a moving platform such as a ship, the platform position calculation unit 31 can also successively update the installation position of the radar device 100 in accordance with the time.

[0040] (Step S22: Target scenario generation process) The target scenario generator 32 sequentially calculates the target position during training. The initial position and velocity of the target for training are set in advance, and the target scenario generator 32 calculates the target position at each time from this initial position and velocity.

[0041] (Step S23: Target outlook calculation process) The target visibility calculation unit 33 calculates the radar visibility distance taking into account the curvature of the Earth, similar to step S15 in Fig. 5. The target visibility calculation unit 33 sets a target whose target position is within the radar visibility distance as the target of interest.

[0042] (Step S24: Target beam inside / outside calculation processing) The target beam inside / outside calculation unit 34 compares the azimuth, which is the pointing position of the beam controlled by the antenna beam scanning unit 41 (described later), with the target position of the target set in step S23. The target beam inside / outside calculation unit 34 identifies targets that exist within the beam among the target targets.

[0043] (Step S25: Target signal generation process) The target signal generator 35 generates a simulated target signal for the target identified in step S24. Specifically, the target signal generator 35 simulates a received signal resulting from the reflection of a radar transmission signal. At this time, the target signal generator 35 calculates the amplitude Pr(tgt) as the received power according to the size and position of the target using Equation 10.

number

[0044] At the same time, the target signal generator 35 calculates the target's approach speed V tgt Doppler frequency f according to tgt Set by

number

[0045] Referring to FIG. 7, a process of generating a simulated received signal by the training object simulation unit 40 according to the first embodiment will be described. (Step S31: Antenna beam scanning process) The antenna beam scanning unit 41 simulates the operation of the radar device 100, which controls the direction of the beam relative to the radar coverage area.

[0046] (Step S32: Receiver noise generation process) The receiver noise generator 42 generates background noise N in the receiver 105 of the radar device 100 using Equation 12. N indicates the average noise level, and is assumed to vary randomly over the entire distance range in which reception processing is performed.

number

[0047] (Step S33: Signal superposition processing) The signal superimposing unit 43 generates a simulated received signal by adding and superimposing the amplitudes of the background noise N generated in step S32, the simulated clutter signal generated by the process shown in FIG. 5, and the simulated target signal generated by the process shown in FIG. 6 for each distance resolution.

[0048] (Step S34: Clutter suppression processing) The clutter suppression unit 44 adjusts the simulated received signal in accordance with a suppression instruction received from the user via the operation display 60 . The clutter suppression unit 44 has a gain setting function for adjusting the level of the simulated received signal. For example, the clutter suppression unit 44 has an operating function for setting the level so that the simulated received signal does not become saturated when strong clutter reflection waves are generated. Also, for example, the clutter suppression unit 44 has a clutter suppression function provided in the radar device 100 that is the training subject. An example of a clutter suppression function is one that uses Doppler to discriminate unnecessary signals such as clutter reflected from fixed targets, such as MTI, and attenuates low-Doppler signals. MTI is an abbreviation for Moving Target Indicator. In particular, for simulated clutter signals with a non-zero Doppler due to the influence of wind, it is possible to simulate a residual state by assuming that the suppression effect of MTI is limited. This enables more realistic training for detection and tracking in stormy weather.

[0049] (Step S35: Target detection process) The target detection unit 45 detects the simulated target from the simulated received signal in accordance with the detection threshold value received from the user via the operation display 60 . Specifically, the target detection unit 45 detects the simulated target from the simulated received signal after adjustment in step S34 in accordance with the detection threshold, and calculates the target position and velocity as a track. Here, the target detection unit 45 detects a signal that is equal to or greater than the detection threshold determined in consideration of the level of background noise N as a target signal representing the simulated target. Then, the target detection unit 45 periodically updates the track, which is the target position, every time a simulated target is detected.

[0050] Here, the operation display 60 displays the simulated received signals, including the simulated clutter signals, as radar video on the PPI display. PPI stands for Plan Position Indicator. The operation display 60 also displays the simulated target detection status and track information. The user can refer to the information displayed on the operation display 60 to perform the operations necessary to suppress clutter and suppress unnecessary signals such as simulated clutter signals. The user can also change the detection threshold and adjust the detection sensitivity to perform setting operations to clarify the target signals to be detected and tracked.

[0051] ***Effects of the First Embodiment*** As described above, the radar training device 10 according to the first embodiment generates a simulated clutter signal from the meteorological observation data 51, and generates a simulated received signal by superimposing the simulated clutter signal on a simulated target signal. By using the simulated received signal, it is possible to carry out simulated target detection and tracking training that takes into account the simulated clutter signal generated from the meteorological observation data 51. In other words, it is possible to easily carry out detection and tracking training that assumes different weather conditions without any special settings or the like.

[0052] ***Other Configurations*** <Variation 1> In the first embodiment, the simulated clutter signal is generated by simulating radar operation on a computer. However, it is also possible to apply the present invention to a configuration in which a simulated clutter signal is generated in a radar device that can actually transmit and receive radio waves and is superimposed on a received signal.

[0053] <Variation 2> In the first embodiment, each functional component is realized by software. However, as a second modification, each functional component may be realized by hardware. The differences between the first embodiment and the second modification will be described below.

[0054] When each functional component is realized by hardware, the radar training device 10 includes an electronic circuit instead of the processor 11, the memory 12, and the storage 13. The electronic circuit is a dedicated circuit for realizing the functions of each functional component, the memory 12, and the storage 13.

[0055] Possible electronic circuits include single circuits, composite circuits, programmed processors, parallel programmed processors, logic ICs, GAs, ASICs, and FPGAs. GA stands for Gate Array. ASIC stands for Application Specific Integrated Circuit. FPGA stands for Field-Programmable Gate Array. Each functional component may be realized by one electronic circuit, or each functional component may be realized by distributing it among a plurality of electronic circuits.

[0056] <Variation 3> As a third modification, some of the functional components may be realized by hardware, and other functional components may be realized by software.

[0057] The processor 11, memory 12, storage 13, and electronic circuitry are collectively referred to as a processing circuit. In other words, the functions of the functional components are realized by the processing circuit.

[0058] Furthermore, the term "unit" in the above description may be read as a "circuit," "step," "procedure," "process," or "processing circuit."

[0059] Various aspects of the present disclosure are summarized below as appendices. (Appendix 1) a clutter signal generator that generates, from meteorological observation data including information on rain clouds in a target area, a simulated clutter signal that simulates a clutter signal that is generated when a radar beam is irradiated onto the target area; a target signal generating unit that generates a simulated target signal, which is a signal reflected from the simulated target when the simulated target is present within the radar beam; a signal superimposing unit that generates a simulated received signal by superimposing the simulated clutter signal generated by the clutter signal generating unit and the simulated target signal generated by the target signal generating unit; A radar training device comprising: (Appendix 2) the meteorological observation data indicates the cloud cover and precipitation amount of the rain cloud for each position in the target area; The radar training device further comprises: an intensity calculation unit that calculates, for each location, a radar effective reflection area, which is an area that reflects radio waves in the direction of the antenna when a beam is irradiated from the radar, based on the cloud amount and precipitation amount of the rain clouds for each location indicated by the meteorological observation data; Equipped with The clutter signal generating unit generates the simulated clutter signal from the radar effective reflection area for each position calculated by the intensity calculating unit. 10. The radar training device of claim 1. (Appendix 3) the meteorological observation data indicates wind direction and wind speed for each position in the target area; The radar training device further comprises: a Doppler calculation unit that calculates, for each position, a Doppler frequency of a clutter signal generated when a beam is irradiated from the radar, based on the approach speed of the rain clouds to the radar obtained from the wind direction and wind speed for each position indicated by the meteorological observation data; Equipped with The clutter signal generator generates the simulated clutter signal from the Doppler frequency for each position calculated by the Doppler calculator. 3. The radar training device according to claim 1 or 2. (Appendix 4) The Doppler calculation unit calculates the Doppler frequency from the approach speed of the rain cloud and the fluctuation of the approach speed, using a change in the approach speed of the rain cloud with respect to a time change as a fluctuation of the approach speed. 4. The radar training device of claim 3. (Appendix 5) The radar training device further comprises: a clutter suppression unit that adjusts the simulated received signal in accordance with a suppression instruction received from a user; 5. The radar training device of claim 1, comprising: (Appendix 6) The radar training device further comprises: a target detection unit that detects the simulated target from the simulated received signal in accordance with a detection threshold value received from a user; 6. The radar training device of claim 1, comprising: (Appendix 7) a computer generates a simulated clutter signal from meteorological observation data including information on rain clouds in a target area, the simulated clutter signal being generated when a beam is irradiated from a radar onto the target area; A computer generates a simulated target signal, which is a reflected signal from the simulated target when the simulated target is present within the radar beam; A radar training method in which a computer generates a simulated received signal by superimposing the simulated clutter signal and the simulated target signal. (Appendix 8) a clutter signal generation process for generating, from meteorological observation data including information on rain clouds in a target area, a simulated clutter signal that simulates a clutter signal that is generated when a radar beam is irradiated onto the target area; a target signal generation process for generating a simulated target signal, which is a signal reflected from the simulated target when the simulated target is present within the radar beam; a signal superposition process for generating a simulated received signal by superposing the simulated clutter signal generated by the clutter signal generation process and the simulated target signal generated by the target signal generation process; A radar training program that causes a computer to function as a radar training device that performs the following:

[0060] The embodiments and modifications of the present disclosure have been described above. Some of these embodiments and modifications may be combined and implemented. Also, one or more of them may be implemented partially. Note that the present disclosure is not limited to the above embodiments and modifications, and various modifications are possible as needed. [Explanation of symbols]

[0061] 10 radar training device, 11 processor, 12 memory, 13 storage, 14 communication interface, 20 clutter generation unit, 21 meteorological data acquisition unit, 22 intensity calculation unit, 23 Doppler calculation unit, 24 clutter location calculation unit, 25 clutter visibility calculation unit, 26 clutter beam inside / outside calculation unit, 27 clutter signal generation unit, 30 target generation unit, 31 platform position calculation unit, 32 target scenario generation unit, 33 target visibility calculation unit, 34 target beam inside / outside calculation unit, 35 target signal generation unit, 40 training target simulation unit, 41 antenna beam scanning unit, 42 receiver noise generation unit, 43 signal superposition unit, 44 clutter suppression unit, 45 target detection unit, 51 meteorological observation data, 52 rain cloud concentration map, 53 wind direction / wind speed map, 60 operation display, 100 radar device, 101 antenna, 102 Antenna controller, 103 circulator, 104 transmitter, 105 receiver, 106 signal processor, 107 computer, 108 operation display, 111 beam, 112 target, 113 clutter.

Claims

1. a clutter signal generator that generates, from meteorological observation data including information on rain clouds in a target area, a simulated clutter signal that simulates a clutter signal that is generated when a radar beam is irradiated onto the target area; a target signal generating unit that generates a simulated target signal, which is a signal reflected from the simulated target when the simulated target is present within the radar beam; a signal superimposing unit that generates a simulated received signal by superimposing the simulated clutter signal generated by the clutter signal generating unit and the simulated target signal generated by the target signal generating unit; A radar training device comprising:

2. the meteorological observation data indicates the cloud cover and precipitation amount of the rain cloud for each position in the target area; The radar training device further comprises: an intensity calculation unit that calculates, for each location, a radar effective reflection area, which is an area that reflects radio waves in the direction of the antenna when a beam is irradiated from the radar, based on the cloud amount and precipitation amount of the rain clouds for each location indicated by the meteorological observation data; Equipped with The clutter signal generating unit generates the simulated clutter signal from the radar effective reflection area for each position calculated by the intensity calculating unit.

2. The radar training device of claim 1.

3. the meteorological observation data indicates wind direction and wind speed for each position in the target area; The radar training device further comprises: a Doppler calculation unit that calculates, for each position, a Doppler frequency of a clutter signal generated when a beam is irradiated from the radar, based on the approach speed of the rain clouds to the radar obtained from the wind direction and wind speed for each position indicated by the meteorological observation data; Equipped with The clutter signal generator generates the simulated clutter signal from the Doppler frequency for each position calculated by the Doppler calculator.

2. The radar training device of claim 1.

4. The Doppler calculation unit calculates the Doppler frequency from the approach speed of the rain cloud and the fluctuation of the approach speed, using a change in the approach speed of the rain cloud with respect to a time change as a fluctuation of the approach speed.

4. The radar training device of claim 3.

5. The radar training device further comprises: a clutter suppression unit that adjusts the simulated received signal in accordance with a suppression instruction received from a user; 2. The radar training device of claim 1, comprising:

6. The radar training device further comprises: a target detection unit that detects the simulated target from the simulated received signal in accordance with a detection threshold value received from a user; 2. The radar training device of claim 1, comprising:

7. a computer generates a simulated clutter signal from meteorological observation data including information on rain clouds in a target area, the simulated clutter signal being generated when a beam is irradiated from a radar onto the target area; A computer generates a simulated target signal, which is a reflected signal from the simulated target when the simulated target is present within the radar beam; A radar training method in which a computer generates a simulated received signal by superimposing the simulated clutter signal and the simulated target signal.

8. a clutter signal generation process for generating, from meteorological observation data including information on rain clouds in a target area, a simulated clutter signal that simulates a clutter signal that is generated when a radar beam is irradiated onto the target area; a target signal generation process for generating a simulated target signal, which is a signal reflected from the simulated target when the simulated target is present within the radar beam; a signal superposition process for generating a simulated received signal by superposing the simulated clutter signal generated by the clutter signal generation process and the simulated target signal generated by the target signal generation process; A radar training program that causes a computer to function as a radar training device that performs the following:

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