Target simulator adaptive control method based on multi-scene recognition

Abstract

The invention provides a target simulator adaptive control method based on multi-scene recognition, and belongs to the field of automatic tests.The method comprises the steps that whether a target simulator can complete a test task or not in the current state is judged; if the test task can be completed, the radar test task is completed; if the test task cannot be completed, packaging and normalizing the control instruction of the target simulator to obtain an instruction control set, presetting a test scene through an instruction control module, calling the control instruction in the instruction control set, and issuing the control instruction to an interface control unit of the target simulator; and controlling the target simulator to output state information and waveform information required by the radar to complete a radar test task. According to the method, the problem of different scenes during radar debugging is solved, the target echo required by the radar is generated under the condition that related components are in shortage, the calibration work of the target simulator can be realized under the condition that the connection between the radar and the target simulator is not changed, and the efficiency of radar test work is improved.

Description

Technical Field

[0001] The invention belongs to the field of automatic testing, and in particular relates to a target simulator adaptive control method based on multi-scenario recognition. Background Art

[0002] As modern radar systems become increasingly complex, it is difficult for R&D engineers to easily get the opportunity to test radars in actual combat scenarios due to constraints such as cost and cycle. The cost of performing performance tests on radars in the field is also increasing. Radar target simulators can realistically reproduce signals at different points in the radar system, including target and environmental information, greatly reducing radar testing costs and shortening radar debugging cycles. They have gradually become one of the hot topics in the field of radar testing. In the use of target simulators, it is found that users need to understand the background of instrument control commands in order to complete the control of the instrument. When manually setting the parameters of the target simulator, the radar test efficiency will decrease due to the limitations of the test site. At the same time, according to the demand capture of daily use of target simulators for radar testing, when the target simulator is connected to the radar via a cable, the waveform output state of the target simulator is controlled by the radar, and the target simulator cannot output the test waveform, and thus the calibration operation of the target simulator cannot be completed; when debugging the radar, there is a lack of a scanner, and it is impossible to provide analog quantities such as the scanner angle required by the radar. The target simulator is required to generate an analog signal and provide it to the radar; when the target simulator is debugging the radar in the field, there is a situation where there is no avionics simulator to provide radar control information, and the target simulator is required to replace the avionics simulator function to set radar parameters.

[0003] Therefore, it is necessary to provide a target simulator adaptive control method to solve the problems encountered during radar testing. Summary of the invention

[0004] In order to solve the above problems, the object of the present invention is to provide a target simulator adaptive control method based on multi-scenario recognition to achieve command control of the target simulator.

[0005] In order to achieve the above object, the present invention provides the following technical solution, a target simulator adaptive control method based on multi-scenario recognition, the method comprising:

[0006] Identify the radar's current test scenario information and receive the radar's pending test task information to determine whether the target simulator can complete the test task in the current state;

[0007] If the target simulator can complete the test task in the current state, the target simulator outputs the waveform information required by the radar through the radar control information to complete the radar test task;

[0008] If the target simulator cannot complete the test task in the current state, the control instructions of the target simulator are encapsulated and normalized to obtain an instruction control set. The test scenario is preset through the instruction control module, and the control instructions in the instruction control set are called. The control instructions are sent to the interface control unit of the target simulator to control the target simulator to output the status information and waveform information required by the radar to complete the radar test task.

[0009] The target simulator adaptive control method based on multi-scenario recognition provided by the present invention also has the following characteristics: the target simulator cannot complete the test task in the current state, including two situations: shortage of test equipment and inability to calibrate the target simulator.

[0010] The target simulator adaptive control method based on multi-scenario recognition provided by the present invention also has the following characteristics: when test equipment is in short supply, test information of the short supply test equipment is pre-stored in the command control module of the target simulator, and when performing radar test tasks, the pre-stored test information of the short supply test equipment is supplemented.

[0011] The target simulator adaptive control method based on multi-scenario recognition provided by the present invention also has the following characteristics: when the target simulator cannot be calibrated, two control modes of the target simulator are preset in the target simulator, the control mode is selected in the instruction control module, and when the target simulator is calibrated, the control information from the radar control simulator is shielded, so that the target simulator outputs a test waveform, and the accuracy of the output waveform of the target simulator is calibrated.

[0012] The target simulator adaptive control method based on multi-scenario recognition provided by the present invention also has the following characteristics: the encapsulation and normalization of the control instructions of the target simulator comprises:

[0013] Configure the interface control unit address;

[0014] Configure and encapsulate the scene return instructions according to the radar test scenario;

[0015] Normalize the instruction information in different scenarios into an instruction set with the same format;

[0016] Send the command to the digital microwave unit to check the control command.

[0017] The target simulator adaptive control method based on multi-scenario recognition provided by the present invention also has the following characteristics: the command control module includes a scene control submodule and a control information configuration submodule; the scene control submodule is used to configure the default control command in the scene according to the test scene information of the radar; and the control information configuration submodule is used to control the specific indicators of the target simulation output signal.

[0018] The target simulator adaptive control method based on multi-scenario recognition provided by the present invention also has the following characteristics: the command control module also includes an information display submodule for displaying BI T fault information of the target simulator and current working status information of the radar.

[0019] Beneficial Effects

[0020] The target simulator adaptive control method based on multi-scenario recognition provided by the present invention overcomes the problem of different scenarios during radar debugging, can generate target echoes required by the radar when relevant components are in short supply, can realize the calibration of the target simulator itself without changing the connection between the radar and the target simulator, and increases the efficiency of radar testing.

[0021] The target simulator adaptive control method based on multi-scenario recognition provided by the present invention has the advantages of high degree of automation, high reliability, wide application range, etc. It can be applied to situations where test conditions are incomplete and when relevant components are missing, the data required for testing can be provided to the radar by simulating data through software. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 A working principle diagram of the method provided by an embodiment of the present invention;

[0024] Figure 2 A schematic diagram of a method provided by an embodiment of the present invention;

[0025] Figure 3 This is a normalized flow chart of instructions of the simulator interface control unit according to an embodiment of the present invention;

[0026] Figure 4 The present invention is a flowchart of a method provided in an embodiment of the present invention for implementing radar testing. DETAILED DESCRIPTION

[0027] The present invention is further described in detail below in conjunction with the accompanying drawings and examples, but it should be noted that these implementation modes are not limitations of the present invention, and equivalent changes or substitutions in functions, methods, or structures made by ordinary technicians in the field based on these implementation modes are all within the scope of protection of the present invention.

[0028] In the description of the embodiments of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside" and "outside" etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the invention.

[0029] In addition, the terms "first", "second", "third", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0030] The terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the invention can be understood according to specific circumstances.

[0031] like Figure 1-4 As shown, an embodiment of the present invention provides a target simulator adaptive control method based on multi-scenario recognition, the method comprising:

[0032] Identify the radar's current test scenario information and receive the radar's pending test task information to determine whether the target simulator can complete the test task in the current state;

[0033] If the target simulator can complete the test task in the current state, the target simulator outputs the waveform information required by the radar through the radar control information to complete the radar test task;

[0034] If the target simulator cannot complete the test task in the current state, the control instructions of the target simulator are encapsulated and normalized to obtain an instruction control set. The test scenario is preset through the instruction control module, and the control instructions in the instruction control set are called. The control instructions are sent to the interface control unit of the target simulator to control the target simulator to output the status information and waveform information required by the radar to complete the radar test task.

[0035] In the above embodiment, the control instruction set is normalized, the interface control unit is controlled by instruction control software, the interface control unit controls the path of the digital microwave unit, and the configured instructions are sent to the target simulator based on the client / server model to achieve the output of the waveform required by the radar.

[0036] like Figure 2 As shown, the target simulator control method provided in the above embodiment is based on the original target simulator control method, based on the client / server model, and communicates through the network port connection to realize the remote control of the target simulator by the command control software. The command control software receives the scene state information from the target simulator, and presets the control state according to the scene state information to realize the multi-scene adaptive control of the target simulator.

[0037] The command control software and the interface control module in the target simulator interact based on the client / server. The client initiates the corresponding request according to the task type and sends it to the server through the network. The server receives the instruction from the client, completes the specified task and responds. The client then maps the response received from the server to the corresponding task request to complete the confirmation of the request. In this way, the command control software completes the command control of the target simulator. The scenario status information includes the target simulator's conventional radar connection status, the test scenario's lack of scanner status, the radar control information status without the avionics simulator, etc.

[0038] like Figure 3 The figure shows the flow chart of the target simulator interface control unit instruction normalization. First, the scene return instruction is configured according to the cable connection status of the target simulator. Then, the simulator's normal working status is used to encapsulate the state switching, output power, target distance, cloud depth and other instruction information. The data packets in different scene states are placed in the same format instruction set. The steps of the interface control unit custom instruction normalization are: configure the scene return instruction → configure the working status instruction information → place different scene instructions in the same format instruction set → provide the instruction trigger interface.

[0039] like Figure 4As shown in the figure, it is a flowchart for realizing echo output of target simulator based on multiple scenarios. The command control software adaptively sets the scenario type by receiving scenario information returned by the target simulator, configures the command parameters for the state setting under the scenario, generates control commands and sends them down. The control interface control unit sends the command with configured parameters to the microwave module. The microwave module receives the command information and generates a waveform output to the radar. At the same time, the data that needs to be configured to the radar is transmitted to the radar through the ATE channel to realize the radar echo test. The basic steps for the command control software to control the target simulator to perform echo output are: bind the target simulator → receive scenario information → adaptively select scenario supporting parameters → configure command parameters → send control commands → simulator outputs waveform and sets data.

[0040] In some embodiments, the target simulator cannot complete the test task in the current state, including two situations: shortage of test equipment and inability to calibrate the target simulator.

[0041] In some embodiments, when test equipment is in short supply, test information of the short supply test equipment is pre-stored in the command control module of the target simulator, and when performing a radar test task, the pre-stored test information of the short supply test equipment is supplemented.

[0042] In some embodiments, the azimuth and pitch angle status information of the scanner and the ATE status information transmitted by the avionics simulator required by the radar are pre-stored in the command control module of the target simulator. When the radar is tested, the target simulator transmits the azimuth information, pitch angle information and ATE status information to the radar to supplement the necessary information required for the radar to operate.

[0043] In some embodiments, when the target simulator cannot be calibrated, two control modes of the target simulator are preset in the target simulator, and the control mode is selected in the command control module. When the target simulator is calibrated, the control information from the radar control simulator is shielded, so that the target simulator outputs a test waveform to calibrate the accuracy of the output waveform of the target simulator.

[0044] In some embodiments, when the simulator is calibrated, the test mode is selected through the command control software, the radar control data of the target simulator is shielded, and the output of the simulator test waveform is realized. When the simulator echo is tested without a scanner radar, the target simulator fills the preset scanner angle information analog quantity in the ATE data frame, switches the extension control mode in the command control software, and sends the scanner information analog quantity to the radar through the ATE channel to realize the echo test when the radar has no scanner. When the radar control information is set without an avionics simulator, the target simulator writes this information into the ATE data frame, switches the solidified radar data mode through the command control software, and inputs the data information to the radar to realize the reporting of radar echo information.

[0045] In some embodiments, the encapsulation and normalization of the control instructions of the target simulator includes:

[0046] Configure the interface control unit address;

[0047] Configure and encapsulate the scene return instructions according to the radar test scenario;

[0048] Normalize the instruction information in different scenarios into an instruction set with the same format;

[0049] Send the command to the digital microwave unit to check the control command.

[0050] In some embodiments, the instruction control module includes a scene control submodule and a control information configuration submodule. The scene control submodule is used to configure the default control instructions in the scene according to the test scene information of the radar, and the control information configuration submodule is used to control the specific indicators of the target simulation output signal.

[0051] In some embodiments, the command control module further includes an information display submodule for displaying BIT fault information of the target simulator and current working status information of the radar.

[0052] The above embodiment provides a method for radar to output template echo and perform self-calibration as follows:

[0053] Step 1: The target simulator interface control unit generates scenario information according to the connection status of the radar test cable, and encapsulates information such as working state switching and target output power in different scenarios into an instruction set with the same format;

[0054] Step 2: Write the instruction control software, use Ethernet to communicate with the interface control unit based on the client / server model, and configure the top-level parameters of the instructions encapsulated by the interface control unit;

[0055] Step 3: Connect the target simulator in the command control software, set the remote control mode, and set the test mode to calibrate the target simulator;

[0056] Step 4: According to the scene information returned by the target simulator, configure the command parameters, issue control commands, observe the target echo output by the radar detection simulator, and perform radar function tests.

[0057] In step 1, the radar test scenario includes the target simulator conventionally connected to the radar state, the test scenario lacks a scanner state, the test scenario lacks avionics setting control information state, etc.

[0058] like Figure 3 As shown, the steps for the interface control unit to encapsulate the instruction are:

[0059] Step 101: configure the interface control unit address, and when interacting with the command control software, receive configuration information from the command control software as a server;

[0060] Step 102: Configure and encapsulate the scenario return instruction according to the radar test scenario. In the scenario without scanner, the interface control unit simulates the scanner angle information and sends it to the radar during joint test. When test calibration is required, the control information from the radar is shielded. When the radar control information is set without the avionics simulator, the control is written into the ATE data frame.

[0061] Step 103: normalizing the state switching, output power, target distance, cloud depth and other command information in different scenarios into a command set with the same format;

[0062] Step 104: configure the instruction parameters, send the instruction to the digital microwave unit, and check the control instruction.

[0063] In step 2, the command control software is written using the object-oriented visual development tool Qt, and network port communication and data transmission are performed based on the client / server model to realize the interaction between the target simulator command control software and the interface control unit. The mode configuration of the command control software includes the selection of remote control and manual control, the selection of simulator test mode and working mode, and the selection of whole machine mode, extension mode and solidified radar data mode during operation. The whole machine mode is suitable for conventional radars. In the extension mode, the radar can still connect to the avionics simulator and the target simulator for waveform testing when a scanner is missing. The solidified radar data mode is suitable for scenarios where the avionics simulator cannot configure radar related information.

[0064] In step 3, the steps of testing and calibrating the target simulator when it is connected to the radar are as follows:

[0065] Step 201: input the target simulator address in the command control software, and connect the command control software and the target simulator interface control unit via Ethernet;

[0066] Step 202: After connecting to the simulator, the command control software selects the remote control mode, receives the scene status information of the target simulator, selects the test mode as the working mode of the command control software, and sends the command after configuring the command;

[0067] Step 203: The target simulator outputs a test waveform to perform metrological calibration on the simulator.

[0068] In step 4, the target simulator performs target echo output in multiple scenarios, which mainly includes the following steps:

[0069] Step 301: input the target simulator address in the command control software, and connect the command control software and the target simulator interface control unit via Ethernet;

[0070] Step 302: After connecting to the simulator, the command control software selects the remote control mode and configures the target echo information according to the scene state returned by the target simulator;

[0071] Step 303: the interface control unit receives the top-level configuration information from the command control software, loads the control command, and sends the command to the digital microwave unit;

[0072] Step 304: The digital microwave unit outputs the target echo to the radar to perform radar-related tests.

[0073] In the method provided by any of the aforementioned embodiments, the test scenario is simulated by configuring the software, data is transmitted in the device network based on the client / server model, and the control instructions are normalized for different test scenarios. During the test, only the top-level information of the instruction control software needs to be configured to realize the target echo output of the target simulator. The problem of different scenarios during radar debugging is overcome, and the target echo required by the radar can be generated when the relevant components are in short supply. The calibration of the target simulator itself can be realized without changing the connection between the radar and the target simulator, thereby increasing the efficiency of radar testing. At the same time, the client / server model is used to transmit control instructions and fool-proof design to avoid direct operation when adjusting the simulation output, which not only speeds up the test process, but also improves the safety of the equipment and testers during the test.

[0074] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the present invention. The above description is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and variations can be made without departing from the technical principles of the present invention. These improvements and variations should also be regarded as the protection scope of the present invention.

Claims

1. A target simulator adaptive control method based on multi-scenario recognition, characterized in that: The method comprises: Identify the radar's current test scenario information and receive the radar's pending test task information to determine whether the target simulator can complete the test task in the current state; If the target simulator can complete the test task in the current state, the target simulator outputs the waveform information required by the radar through the radar control information to complete the radar test task; If the target simulator cannot complete the test task in the current state, the control instructions of the target simulator are encapsulated and normalized to obtain an instruction control set. The test scenario is preset through the instruction control module, and the control instructions in the instruction control set are called. The control instructions are sent to the interface control unit of the target simulator to control the target simulator to output the status information and waveform information required by the radar to complete the radar test task.

2. The target simulator adaptive control method based on multi-scenario recognition according to claim 1 is characterized in that: The target simulator cannot complete the test task in the current state, including two situations: shortage of test equipment and inability to calibrate the target simulator.

3. The target simulator adaptive control method based on multi-scenario recognition according to claim 2 is characterized in that: When the test equipment is in short supply, the test information of the short supply test equipment is pre-stored in the command control module of the target simulator, and when the radar test task is performed, the pre-stored test information of the short supply test equipment is supplemented.

4. The target simulator adaptive control method based on multi-scenario recognition according to claim 2 is characterized in that: When the target simulator cannot be calibrated, two control modes of the target simulator are preset in the target simulator, and the control mode is selected in the command control module. When the target simulator is calibrated, the control information from the radar control simulator is shielded, so that the target simulator outputs a test waveform to calibrate the accuracy of the output waveform of the target simulator.

5. The target simulator adaptive control method based on multi-scenario recognition according to claim 1 is characterized in that: The encapsulation and normalization of the control instructions of the target simulator includes: Configure the interface control unit address; Configure and encapsulate the scene return instructions according to the radar test scenario; Normalize the instruction information in different scenarios into an instruction set with the same format; Send the command to the digital microwave unit to check the control command.

6. The target simulator adaptive control method based on multi-scenario recognition according to claim 1 is characterized in that: The command control module includes a scene control submodule and a control information configuration submodule. The scene control submodule is used to configure the default control command in the scene according to the test scene information of the radar, and the control information configuration submodule is used to control the specific indicators of the target simulation output signal.

7. The target simulator adaptive control method based on multi-scenario recognition according to claim 6 is characterized in that: The command control module also includes an information display submodule, which is used to display BIT fault information of the target simulator and current working status information of the radar.

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