Airborne platform-oriented hierarchical distributed sensor system architecture and use method

Abstract

The invention belongs to the technical field of avionics, and particularly relates to an airborne platform-oriented hierarchical distributed sensor system architecture and a use method thereof, and the system comprises a distributed skin microsystem, a distributed signal processing unit, a task processing unit, a primary network and a secondary network. The distributed skin microsystem comprises N skin sensing elements, and N is not less than 2; the N skin sensing elements are respectively connected to the primary network; the primary network is connected with M distributed signal processing units, and M is not less than 2; the M distributed signal processing units are connected with the secondary network, the secondary network is further connected with the task processing unit, and the task processing unit is connected with the cabin display control system.

Description

Technical Field

[0001] The present invention belongs to the field of avionics technology, and in particular relates to a hierarchical distributed sensor system architecture for airborne platforms and a use method thereof. Background Art

[0002] Facing the complex and ever-changing flight environment in the future, airborne platforms are required to have the characteristics of rapid generation and evolution of capabilities. However, the existing integrated sensor architecture of airborne platforms has shortcomings such as strong coupling of functions and resources, difficulty in reusing various software and hardware resources, high cost, fixed capabilities, and long development cycle of new capabilities. It is difficult to adapt to the rapid evolution of future system capability clusters, so it is necessary to improve the architecture and innovate technology. At present, aviation equipment mainly adopts IMA avionics architecture, focusing on improving the mission capability of a single platform and executing multiple tasks. In terms of sensor integration, the integrated design concept of the airborne field is based on the integrated modular (IMA) architecture design mode. The system is designed independently according to the mission function, and the physical resources corresponding to the mission function are integrated. The focus is on achieving the goal of "maintaining / improving performance, general reuse of physical resources, and reducing volume, weight and power consumption". Compromises are made according to installation constraints, aperture area and mission requirements. Therefore, the integrated sensor system has a series of difficulties such as tight coupling of software and hardware, insufficient integration, and insufficient interconnection and interoperability, which cannot support the rapid upgrade and expansion of the system and the agile development and deployment of software.

[0003] In general, the current architectural design concepts and coordination mechanisms are still mainly based on independent functions and partial information-level coordination, and there is no clear and mature implementation approach for the hierarchical, distributed, and multi-functional integrated architecture. Summary of the invention

[0004] The purpose of the present invention is to solve the above problems and propose a hierarchical distributed sensor system architecture and method of use for airborne platforms. The system adopts a multi-level processing structure and is tailored and assembled according to different functional requirements on the basis of a unified architecture and standardized modules to achieve agile, low-cost design of the system and optimization of platform capabilities.

[0005] The technical solution of the present invention:

[0006] A hierarchical distributed sensor system architecture for airborne platforms, including: a distributed skin microsystem, a distributed signal processing unit, a task processing unit, a primary network, and a secondary network;

[0007] The distributed skin microsystem includes N skin sensor elements, where N is not less than 2;

[0008] The distributed signal processing platform includes M distributed signal processing units, where M is not less than 1;

[0009] N skin sensors are connected to the primary network respectively; the primary network is connected to M distributed signal processing units, M is not less than 2;

[0010] M distributed signal processing units are connected to the secondary network, the secondary network is also connected to the task processing unit, and the task processing unit is connected to the cockpit display control system.

[0011] Furthermore, each skin sensor element includes an antenna, a radio frequency front end, and a radio frequency signal preprocessing unit, which reduces signal transmission loss and improves signal reception sensitivity through integrated design;

[0012] The antennas are all broadband universal apertures, which are divided into three frequency bands: DC-2GHz, 2GHz-18GHz, and 18GHz-40GHz. Broadband design is used to achieve aperture synthesis and reduce the number of antennas.

[0013] The antenna adopts a low-profile or tile-type phased array design. The tile-type phased array antenna uses miniaturized sub-arrays to splice together to form an overall large array surface, making the antenna layout on the aircraft surface more flexible and changeable, and facilitating aperture conformal design.

[0014] Furthermore, the first-level network is a high-speed network, which is a fiber-optic network cascaded by multiple sets of high-speed network switching chips, supporting one or more high-speed transmission protocols among RDMA, UDP, TCP, and SRIO. RDMA realizes high-bandwidth and low-latency transmission based on remote direct memory access technology, and supports 10G / 40G / 100Gbps bandwidth;

[0015] At least one interface of each high-speed network switching chip is connected to a distributed signal processing unit, at least one interface is connected to other high-speed network switching chips, and other interfaces are connected to skin sensors, so that resource expansion is achieved through network cascading.

[0016] Furthermore, the distributed signal processing unit includes: CPU+GPU and / or FPGA, with the CPU providing a general basic computing environment and the GPU as an acceleration array providing powerful peak computing capabilities; middleware is deployed on the distributed signal processing unit.

[0017] Middleware includes three types: communication middleware, network management middleware, and signal processing middleware. Communication middleware completes the abstraction and encapsulation of communication data to achieve software and hardware decoupling; network management middleware completes the configuration, management and control of network data plane devices to achieve rapid network deployment and reconstruction, and enhance the flexibility, adaptability and reliability of the network; signal processing middleware completes the abstraction and encapsulation of computing resources to achieve signal processing algorithm acceleration.

[0018] Furthermore, the secondary network is a low-speed network that supports protocols such as FC, AFDX, TSN, and Ethernet.

[0019] A method for using a hierarchical distributed sensor system architecture for an airborne platform is implemented based on the architecture, and the steps are as follows:

[0020] Step 1: Receive the task from the aircraft platform;

[0021] Step 2: The task processing unit generates a waveform function operation instruction according to the resource requirements of the task and sends it to the distributed signal processing unit;

[0022] Step 3: The distributed signal processing unit runs the waveform algorithm according to the waveform function operation instruction, outputs the skin sensor element state configuration instruction, and sends it to the corresponding skin sensor element;

[0023] Step 4: The skin sensor element operates in a state configuration instruction and outputs a corresponding transmission signal;

[0024] Step 5: The skin sensor element receives the radio frequency signal;

[0025] Step 6: sampling and preprocessing the RF signal, and sending the preprocessed signal to the distributed signal processing unit;

[0026] Step 7: The distributed signal processing unit analyzes the pre-processed signal according to the waveform algorithm to form business data; the business data is sent to the task processing unit;

[0027] Step 8: The task processing unit pushes the business data to the cockpit display control system for display and interacts with other subsystems as needed.

[0028] Furthermore, the waveform function operation instructions include waveform loading instructions and waveform unloading instructions, waveform parameter configuration, and sensor health management; the waveform function return data includes waveform business data, waveform status data, and sensor status data.

[0029] Waveform loading instruction: loads a predefined waveform file into the memory for the processor to execute;

[0030] Waveform unloading command: remove or release the waveform file loaded into the memory;

[0031] Waveform parameter configuration: set and adjust the relevant parameters of the waveform according to requirements;

[0032] Sensor health management: Use sensors to monitor system operating status and parameters in real time to reflect the health status of the system;

[0033] Waveform business data: A series of digital signal samples formed by generating, processing or analyzing a signal;

[0034] Waveform status data: status information related to the waveform, including parameters such as frequency, power, modulation type, etc.

[0035] Sensor status data: key parameters about the operating status of the equipment collected and transmitted by sensors.

[0036] Furthermore, the state configuration process of the skin sensor element through the waveform algorithm is as follows: according to the waveform function running instruction, the corresponding sensor waveform loading instruction is issued, and the waveform algorithm is loaded and started on the distributed signal processing unit. According to different waveform algorithms, the frequency, bandwidth, and working mode corresponding to the current waveform operation are configured, and further according to signal modulation, signal coding, beamforming and other signal processing algorithms, combined with the skin sensor element resources, the polarization mode, power amplifier mode, RF frequency, RF signal bandwidth, transceiver status, RF channel working mode, signal sampling rate, modulation mode, digital signal bandwidth and other parameters of the skin sensor element are further calculated, and sent to the skin sensor element through the first-level network for hardware state configuration.

[0037] In this process, the general design of waveform algorithm is realized based on shared operators, and the threads and computing resources in the operators are reasonably mapped to accelerate the signal processing algorithm.

[0038] Further, the analysis process of the preprocessed signal according to the waveform algorithm is as follows:

[0039] If the pre-processed signal is a communication signal, it is demodulated, despread, and decoded to restore the framing information. After settlement, the data such as direction, distance, voice, mode, etc. are formed and re-framed and uploaded to the task processing unit;

[0040] If the pre-processed signal is a reconnaissance signal, filtering, beamforming, signal detection, parameter estimation, sorting, and identification are performed to form target parameter and other data, which are reframed and uploaded to the task processing unit;

[0041] If the pre-processed signal is an interference signal, signal detection, source identification, and decision generation are performed to form interference strategy and other data, which are reframed and uploaded to the task processing unit;

[0042] If the pre-processed signal is a detection signal, beam forming, pulse compression, target detection, angle azimuth extraction, data association, tracking filtering, and track formation are performed to form target parameters, point track and other data, which are re-framed and uploaded to the task processing unit.

[0043] In this process, the general design of waveform algorithm is realized based on shared operators, and the threads and computing resources in the operators are reasonably mapped to accelerate the signal processing algorithm.

[0044] Furthermore, when the skin sensor elements are reconstructed according to the task requirements, the task processing unit identifies the skin sensor elements and distributed signal processing units that need to be reconstructed according to the task, and issues instructions for stopping operation and waveform unloading;

[0045] The skin sensor runs the stop command, sends its own status after stopping, and waits for new commands;

[0046] The distributed signal processing unit runs the waveform unloading instruction, and after the unloading is completed and the skin sensor element receives its own status sent, it sends an unloading completion signal and waits for new instructions;

[0047] When the task processing unit receives the unloading completion signal sent by the distributed signal processing unit, it issues an updated waveform operation instruction;

[0048] The distributed signal processing unit loads the new waveform algorithm.

[0049] Beneficial effects of the present invention:

[0050] The present invention provides a hierarchical distributed sensor system architecture and use method for airborne platforms. Based on an open system architecture, the idea of ​​general digital system integration is applied to radio frequency integration. Through modularization and field reconfigurability, the hardware module is universalized, and different software is added to achieve different mission functions. Compared with the existing sensor integration system on airborne platforms, its advantage is that this architecture breaks the traditional avionics discrete thinking, ensures the resource sharing of the system, and the dynamic grouping of each submodule, improves the versatility and reliability of the equipment, and at the same time reduces the system volume, weight and energy consumption, improves the system's anti-electromagnetic interference ability, and can provide the best platform foundation in terms of information fusion, integrated task management and synergistic efficiency, and finally achieves the optimal cost-effectiveness of the integrated electronic system, and is more adaptable to the future development trend of structural integration, intelligent control and information fusion.

[0051] The overall structure of the integrated sensor system described in the present invention is concise and clear, which greatly reduces the complexity of system design, is easy to expand, and is suitable for large-scale promotion and application on airborne platforms. At the same time, the standardized modular design improves the resource reuse rate, realizes flexible function configuration, greatly shortens the development time, reduces labor and time costs, and improves design efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 is a logic processing block diagram of the integrated sensor system of the present invention;

[0053] Figure 2 It is a block diagram of the physical architecture of the airborne hierarchical distributed integrated sensor system of the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] Based on the guidance of the open avionics architecture, a concrete flat hierarchical distributed integrated sensor system reference architecture is formed. Functional blocks based on typical waveform processing such as communication and navigation are as follows: Figure 1 As shown in the figure, the logical processing architecture of the airborne integrated sensor system is formed, in which the functions of the RF front-end components such as various antennas and RF integrated interfaces are similar, completing the RF signal reception and transmission processing, and exchanging high-speed digital intermediate frequency signals with the back-end (general signal processing); the general signal processing is similar to the data processing function, completing digital signal processing and information analysis, exchanging high-speed digital intermediate frequency signals with the front-end (skin), and exchanging business data with the back-end (task processing). Therefore, after merging and unifying the various functional blocks, the following is formed. Figure 2 The physical architecture of the airborne hierarchical distributed integrated sensor system is shown.

[0056] The integrated sensor system architecture consists of a two-level processing platform and a switching network. The two-level processing platforms are the distributed skin microsystem first-level processing platform and the distributed signal processing second-level processing platform. The task processing third-level processing platform can be expanded as needed. The specific description is as follows.

[0057] (1) First-level distributed skin microsystem

[0058] It mainly realizes the reception and transmission of electromagnetic waves with different functions, completes the RF signal processing or preprocessing functions of various sensor skin systems, optoelectronic systems, etc., and adopts high-bandwidth AD / DA conversion and ultra-low latency parallel data pipeline processing for signal digitization and preprocessing, with strict time-frequency synchronization. Compared with traditional airborne equipment, the first-level skin microsystem in this architecture must have the following capabilities in addition to the typical functions of RF links such as RF microwave signal reception and transmission, power amplification, filtering, up and down conversion, etc.:

[0059] a) Each skin sensor element includes an antenna, a radio frequency front end, and a radio frequency signal preprocessing unit. The integrated design reduces signal transmission loss and improves signal reception sensitivity;

[0060] b) All antennas are broadband universal apertures, which are divided into three frequency bands: DC-2GHz, 2GHz-18GHz, and 18GHz-40GHz. Broadband design is used to achieve aperture synthesis and reduce the number of antennas;

[0061] c) The antenna adopts a low-profile or tile-type phased array design. The tile-type phased array antenna adopts a three-dimensional stacked ultra-thin architecture. The radiating array composed of 8×8 radiating units is designed based on the tightly coupled dipole technology. The low-profile stacked dipole circuit layout is adopted to achieve broadband matching and thickness reduction. Each array element is connected to 1 T / R channel, and the integrated module is realized through the multi-layer stacking design of energy storage / wave control / feeding circuits. Based on the miniaturized sub-array design, the antenna has scalability, and the array expansion is realized by splicing to form an overall large array surface. The sub-array resources can be reasonably allocated according to the needs, making the antenna layout on the aircraft surface more flexible and changeable, and facilitating the aperture conformal design.

[0062] d) The skin microsystem supports multiple function switching operations or simultaneous compatible operations through parameter configuration, circuit reconstruction, etc., where antenna reconstruction includes switching of parameters such as polarization and power amplifier mode, RF circuit reconstruction includes switching of parameters such as frequency, RF signal bandwidth, transceiver status, and working mode, and RF signal preprocessing reconstruction includes switching of parameters such as sampling rate, modulation mode, and digital signal bandwidth;

[0063] e) The RF transceiver channel adopts a universal design to meet the needs of multiple waveform functions within the broadband frequency band; the RF signal preprocessing adopts the RFSOC highly integrated design, integrating digital preprocessing contents such as multi-channel parallel broadband RF sampling and digital filtering with the RF transceiver channel to support the front-end of RF processing;

[0064] f) The external interface form and transmission information structure of the skin microsystem are unified;

[0065] (2) Secondary distributed signal processing platform

[0066] It is mainly used to complete the signal processing and information processing of various sensor functions, has large-scale parallel floating-point computing capabilities, and provides various solution information and business data to the outside world. At the same time, the application layer is loaded on the heterogeneous computing unit of the distributed processing platform, and the service layer is loaded on the digital signal processing or heterogeneous computing unit as needed. Compared with traditional airborne equipment, the secondary distributed signal processing platform in this architecture not only has conventional computing resources such as floating point and fixed point, supports the operation of processing algorithms based on algorithm components, but also needs to have the following capabilities:

[0067] a) The distributed signal processing unit includes: CPU+GPU and / or FPGA, with the CPU providing a general basic computing environment and the GPU as an acceleration array providing powerful peak computing capabilities to support neural computing resources;

[0068] b) Deploy middleware on distributed signal processing units. The middleware includes three types: communication middleware, network management middleware, and signal processing middleware.

[0069] The communication middleware abstracts and encapsulates the communication data, abstracts the transmission methods of aviation buses such as RDMA, UDP, TCP, FC, and AFDX, encapsulates different types of communication methods into a unified communication interface, and directly calls for data transmission to achieve software and hardware decoupling;

[0070] The network management middleware completes the configuration, management and control of the network data plane equipment, builds a 10G software-defined network based on COTS Ethernet switching chips, separates the control plane from the data plane through the network management middleware, realizes rapid network deployment and reconstruction, and enhances the flexibility, adaptability and reliability of the network;

[0071] The signal processing middleware abstracts and encapsulates computing resources, builds an airborne signal processing operator library based on a common architecture, covers typical waveform function signal processing algorithm requirements, improves operating efficiency by matching underlying heterogeneous hardware acceleration units, realizes signal processing algorithm acceleration, and supports algorithm configuration and rapid reconstruction based on algorithm operators.

[0072] c) Rapid expansion of computing resources can be achieved by accessing the first-level network.

[0073] (3) Three-level distributed task processing unit

[0074] If the third level needs to be expanded, the three-level distributed task processing unit will complete the intelligent information processing oriented to tasks and human-computer interaction, mainly realizing domain services and basic services.

[0075] (4) High-speed network and standard interface

[0076] Since the new architecture realizes the front-end of RF processing, and in order to meet the requirements of open architecture resource sharing, the first-level skin microsystem needs to transmit massive amounts of raw data to the back-end processing platform in real time. Therefore, the platform adopts a high-speed open switching network to meet the high-bandwidth and low-latency signal data exchange requirements between the first-level skin microsystem and the second-level signal processing platform, and realize the flexible expansion and plug-and-play of platform resources. The design requirements of high-speed network and standard interface include:

[0077] a) The primary network is a high-speed network, which is a fiber-optic network cascaded by multiple sets of high-speed network switching chips (such as Nanfeiwei SF9564 chips), supporting one or more high-speed transmission protocols among RDMA, UDP, TCP, and SRIO. The RDMA transmission protocol is based on the transmission requirements of high bandwidth and low latency. For airborne embedded supercomputing platforms, it realizes large data transmission and synchronous computing through a double-buffered transmission mechanism based on state signal synchronization, and can support a maximum bandwidth of 100Gbps;

[0078] b) Each high-speed network switching chip has at least one interface connected to a distributed signal processing unit, at least one interface connected to other high-speed network switching chips, and other interfaces connected to skin sensors, thereby achieving resource expansion through network cascading.

[0079] c) The secondary network is a low-speed network that supports protocols such as Ethernet, FC, TSN, and AFDX.

[0080] The functional allocation fully refers to the system requirements, allocating the various functional subdomains of the system to physical unit entities, and taking into account the additional sub-functions required for system redundancy backup and internal data interaction after entity division.

[0081] (5) Sensor function operation based on the new architecture

[0082] The operation of typical sensor functions in this architecture is divided into two types according to the amount of processing resources required.

[0083] For functional waveforms that require large amounts of processing resources, the task processing unit deploys the functions according to the resource requirements, and transmits the control instructions to the distributed signal processing platform that needs to be deployed through the secondary network. The distributed signal processing unit platform further issues configuration instructions to the controlled first-level skin microsystem by running the waveform algorithm. After the first-level skin microsystem completes the reception and transmission of radio frequency signals and the sampling of multi-channel broadband signals through functional operation, the first-level network, i.e., the distributed high-speed switching network, calls the network management middleware and communication middleware to transmit the massive original sampled data to the back-end distributed signal processing platform. The distributed signal processing platform calls the signal processing middleware to accelerate the signal processing algorithm, parses the business data, and reports it to the task processing unit through the first-level network. It interacts with other task systems for data or fuses information-level data as needed, and displays the final data to the cockpit display and control system.

[0084] For functional waveforms with small processing resource requirements, the second-level distributed processing platform can be skipped, and the processing resources in the first-level skin microsystem can directly calculate the reception and transmission, modulation and demodulation, and signal processing of the functional waveform, and report the final business data after analysis to the task processing unit.

[0085] When the system requires sensor function reconstruction and switching, the task processing unit identifies the skin and processing resources that need to be switched according to the needs, issues instructions to stop running and unload the waveform, and calls the network management middleware to reconstruct the network topology. When the hardware platform replies with a status report of waiting for deployment, it issues updated waveform function running instructions, and redeploys the skin and processing resources in levels according to the steps, loads the new waveform algorithm and starts it to support the operation of the new waveform.

[0086] Example

[0087] For example, the communication data link waveform runs as follows in this architecture:

[0088] The mission processing unit receives an instruction to load a communication data link waveform;

[0089] The task processing unit generates communication data link operation instructions according to the resource requirements of the communication data link waveform function and sends them to a distributed signal processing unit.

[0090] The distributed signal processing unit runs instructions according to the communication data link function, loads the waveform algorithm from the cache, and outputs frequency, bandwidth, and working mode configuration instructions to N mid-frequency band skin sensors according to waveform function requirements;

[0091] These N skin sensors configure the operating status according to the instructions, generate radio frequency transmission signals with corresponding frequency, bandwidth and working mode, and radiate the signals into the air through antennas according to the requirements of beam synthesis and pointing;

[0092] These N skin sensor elements receive communication data link signals sent by other devices through antennas;

[0093] These N skin sensors filter, amplify, and down-convert the received RF signals, complete analog-to-digital conversion through high-speed AD, and transmit the pre-processed baseband signals back to the distributed signal processing unit through the primary network;

[0094] The distributed signal processing unit is based on CPU+GPU+FPGA resources, and demodulates, despreads, and decodes the baseband signal according to the communication data link waveform algorithm, parses the voice, data and other information through the protocol, and transmits it back to the task processing unit;

[0095] The task processing unit pushes data information to the cockpit display control system, and forwards voice data to the voice control box.

[0096] The above is only a specific embodiment of the present invention, and the present invention is described in detail. The unexplained part is a conventional technology. However, the protection scope of the present invention is not limited to this. Any changes or substitutions that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. The protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A hierarchical distributed sensor system architecture for airborne platforms, characterized by: include: Distributed skin microsystem, distributed signal processing unit, task processing unit, primary network, secondary network; The distributed skin microsystem includes N skin sensor elements, where N is not less than 2; N skin sensors are connected to the primary network respectively; the primary network is connected to M distributed signal processing units, M is not less than 1; M distributed signal processing units are connected to the secondary network, the secondary network is also connected to the task processing unit, and the task processing unit is connected to the cockpit display control system.

2. The architecture according to claim 1, characterized in that: Each skin sensor element includes an antenna, a radio frequency front end, and a radio frequency signal preprocessing unit; The antennas are all broadband universal apertures, divided into three frequency bands: DC-2GHz, 2GHz-18GHz, and 18GHz-40GHz; The antenna adopts a low-profile or tile-type phased array design. The tile-type phased array antenna uses miniaturized sub-arrays to splice together to form an overall large array surface.

3. The architecture according to claim 2, characterized in that: The first-level network is a high-speed network, which is a fiber-optic network cascaded through multiple sets of high-speed network switching chips, supporting one or more high-speed transmission protocols among RDMA, UDP, TCP, and SRIO; At least one interface of each high-speed network switching chip is connected to the distributed signal processing unit, at least one interface is connected to other high-speed network switching chips, and other interfaces are connected to skin sensor elements.

4. The architecture according to claim 3, characterized in that: The distributed signal processing unit includes: CPU+GPU and / or FPGA; middleware is deployed on the distributed signal processing unit. Middleware includes three types: communication middleware, network management middleware, and signal processing middleware. Communication middleware is used for abstracting and encapsulating communication data; network management middleware is used for configuring, managing and controlling network data plane devices; signal processing middleware is used for abstracting and encapsulating computing resources.

5. The architecture according to claim 4, characterized in that: The secondary network is a low-speed network that supports FC optical bus, AFDX aviation full-duplex switched Ethernet bus, TSN time-sensitive network, and Ethernet protocol.

6. A method for using a hierarchical distributed sensor system architecture for an airborne platform, implemented based on the architecture of any of the preceding claims, characterized in that: Here are the steps: Step 1: Receive the task from the aircraft platform; Step 2: The task processing unit generates a waveform function operation instruction according to the resource requirements of the task and sends it to the distributed signal processing unit; Step 3: The distributed signal processing unit runs the waveform algorithm according to the waveform function operation instruction, outputs the skin sensor element state configuration instruction, and sends it to the corresponding skin sensor element; Step 4: The skin sensor element operates in a state configuration instruction and outputs a corresponding transmission signal; Step 5: The skin sensor element receives the radio frequency signal; Step 6: sampling and preprocessing the RF signal, and sending the preprocessed signal to the distributed signal processing unit; Step 7: The distributed signal processing unit analyzes the pre-processed signal according to the waveform algorithm to form waveform function feedback data and sends it to the task processing unit; Step 8: The task processing unit pushes the business data to the cockpit display control system for display and interacts with other subsystems as needed.

7. The method according to claim 6, characterized in that: In step 2, the waveform function operation instructions include waveform loading instructions and waveform unloading instructions, waveform parameter configuration, and sensor health management; the waveform function return data includes waveform business data, waveform status data, and sensor status data.

8. The method according to claim 7, characterized in that: In step three, according to the waveform function running instruction, the corresponding sensor waveform loading instruction is selected, and the waveform algorithm is loaded and started on the distributed signal processing unit. According to different waveform algorithms, the frequency, bandwidth, and working mode corresponding to the current waveform operation are configured, and further according to signal modulation, signal coding, beamforming and other signal processing algorithms, combined with the skin sensor element resources, the polarization mode, power amplifier mode, RF frequency, RF signal bandwidth, transceiver status, RF channel working mode, signal sampling rate, modulation mode, digital signal bandwidth and other parameters of the skin sensor element are further calculated, and sent to the skin sensor element through the first-level network for hardware status configuration.

9. The method according to claim 8, characterized in that: The analysis process of the preprocessed signal according to the waveform algorithm is as follows: If the pre-processed signal is a communication signal, it is demodulated, despread, and decoded to restore the framing information. After calculation, the azimuth, distance, voice, and mode data are formed and reframed and uploaded to the task processing unit. If the pre-processed signal is a reconnaissance signal, filtering, beamforming, signal detection, parameter estimation, sorting, and identification are performed to form target parameter data, which is reframed and uploaded to the task processing unit; If the pre-processed signal is an interference signal, signal detection, source identification, and decision generation are performed to form interference strategy data, which is reframed and uploaded to the task processing unit; If the pre-processed signal is a detection signal, beam forming, pulse compression, target detection, angle azimuth extraction, data association, tracking filtering, and track formation are performed to form target parameters and point track data, which are then reframed and uploaded to the task processing unit.

10. The method according to claim 9, characterized in that: When the skin sensor elements are reconstructed according to the task requirements, the task processing unit identifies the skin sensor elements and distributed signal processing units that need to be reconstructed according to the task, and issues instructions to stop running and unload waveforms; The skin sensor runs the stop command, sends its own status after stopping, and waits for new commands; The distributed signal processing unit runs the waveform unloading instruction, and after the unloading is completed and the skin sensor element receives its own status sent, it sends an unloading completion signal and waits for new instructions; When the task processing unit receives the unloading completion signal sent by the distributed signal processing unit, it issues an updated waveform operation instruction; The distributed signal processing unit loads the new waveform algorithm.

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