Hierarchical Distributed Sensor System Architecture and Usage for Airborne Platforms

Abstract

This invention belongs to the field of avionics technology, and specifically relates to a hierarchical distributed sensor system architecture and usage method for airborne platforms. The system includes: a distributed skin microsystem, a distributed signal processing unit, a mission processing unit, a primary network, and a secondary network. The distributed skin microsystem includes N skin sensors, where N is not less than 2. The N skin sensors are each connected to the primary network. The primary network is connected to M distributed signal processing units, where M is not less than 2. The M distributed signal processing units are connected to the secondary network, which is also connected to the mission processing unit, which is connected to the cockpit display and control system.

Description

Technical Field

[0001] This invention belongs to the field of avionics technology, and specifically relates to a hierarchical distributed sensor system architecture and its usage method for airborne platforms. Background Technology

[0002] Facing the complex and ever-changing flight environment of the future, airborne platforms are required to have the ability to rapidly generate and evolve. However, the existing integrated sensor architecture of airborne platforms suffers from shortcomings such as strong coupling between functions and resources, difficulty in reusing various hardware and software resources, high costs, fixed capabilities, and long development cycles for adding new capabilities. These shortcomings make it difficult to adapt to the rapid evolution of future system capability clusters, thus requiring architectural improvements and technological innovations. Current aviation equipment mainly adopts the IMA avionics architecture, focusing on improving single-platform mission capabilities and multi-mission deployment. In terms of sensor integration, the integrated design concept in the airborne field is based on the Integrated Modular Architecture (IMA) design pattern. The system is designed independently according to mission functions, and the physical resources corresponding to the mission functions are integrated. The focus is on achieving the goals of "performance maintenance / improvement, universal reuse of physical resources, and reduction of volume, weight, and power consumption." Trade-offs are made based on installation constraints, aperture area, and mission requirements. Therefore, integrated sensor systems suffer from a series of difficulties such as tight coupling between hardware and software, insufficient integration, and insufficient interoperability, which cannot support rapid system upgrades and expansions and agile software development and deployment.

[0003] Overall, current architectural design concepts and collaboration mechanisms are still mainly based on independent functions and partial information-level collaboration. A clear and mature implementation path has not yet been formed for a hierarchical, distributed, and multifunctional integrated architecture. Summary of the Invention

[0004] The purpose of this invention is to address the aforementioned problems by proposing a hierarchical distributed sensor system architecture and usage method for airborne platforms. This architecture employs a multi-level processing structure, and based on a unified architecture and standardized modules, it is tailored and assembled according to different functional requirements, thereby achieving agile and low-cost system design and optimized platform capabilities.

[0005] The technical solution of the present invention:

[0006] A hierarchical distributed sensor system architecture for airborne platforms includes: a distributed skin microsystem, a distributed signal processing unit, a task processing unit, a first-level network, and a second-level network.

[0007] The distributed skin microsystem comprises N skin sensors, where N is not less than 2;

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

[0009] N skinned sensor elements are connected to a primary network; the primary network is connected to M distributed signal processing units, where M is not less than 2.

[0010] M distributed signal processing units are connected to a secondary network, which in turn is connected to a mission processing unit, which is connected to the cockpit display and control system.

[0011] Furthermore, each skin sensor element includes an antenna, an RF front-end, and an RF signal preprocessing unit. Through integrated design, signal transmission loss is reduced and signal reception sensitivity is improved.

[0012] All antennas are broadband universal apertures, divided into three frequency bands: DC-2GHz, 2GHz-18GHz, and 18GHz-40GHz. Aperture synthesis is achieved through broadband design, reducing 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 subarray splicing to form an overall large array surface, making the antenna layout on the aircraft surface more flexible and versatile, and facilitating conformal aperture design.

[0014] Furthermore, the primary network is a high-speed network, which is a fiber optic network formed by cascading multiple high-speed network switching chips. It supports one or more high-speed transmission protocols among RDMA, UDP, TCP, and SRIO. Among them, RDMA is based on remote direct memory access technology to achieve high bandwidth and low latency transmission, supporting 10G / 40G / 100Gbps bandwidth.

[0015] Each high-speed network switching chip has at least one interface connected to the distributed signal processing unit, at least one interface connected to other high-speed network switching chips, and other interfaces connected to the skin sensor element, thereby expanding resources through network cascading.

[0016] Furthermore, the distributed signal processing unit includes: CPU+GPU and / or FPGA, with the CPU providing a general-purpose basic computing environment and the GPU serving as an acceleration array to provide 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 abstracts and encapsulates communication data, achieving hardware and software decoupling. Network management middleware configures, manages, and controls network data plane devices, enabling rapid network deployment and reconstruction, and enhancing network flexibility, adaptability, and reliability. Signal processing middleware abstracts and encapsulates computing resources, accelerating signal processing algorithms.

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

[0019] A hierarchical distributed sensor system architecture for airborne platforms is implemented using the aforementioned architecture, and the steps are as follows:

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

[0021] Step 2: The task processing unit generates waveform function execution instructions according to the resource requirements of the task and sends them to the distributed signal processing unit;

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

[0023] Step 4: Configure the operating status of the skin sensor element and output the corresponding transmission signal;

[0024] Step 5: The skin sensor receives radio frequency signals;

[0025] Step 6: Sample and preprocess the radio frequency signal, and send the preprocessed signal to the distributed signal processing unit;

[0026] Step 7: The distributed signal processing unit parses the preprocessed signal according to the waveform algorithm to form service data; the service data is then 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 and unloading instructions, waveform parameter configuration, and sensor health management; the waveform function feedback data includes waveform service data, waveform status data, and sensor status data.

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

[0030] Waveform unload command: Removes or releases waveform files loaded into memory;

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

[0032] Sensor health management: Real-time monitoring of system operating status and parameters using sensors to reflect the system's health status;

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

[0034] Waveform status data: generates waveform-related status information, including parameters such as frequency, power, and modulation type;

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

[0036] Furthermore, the process of configuring the skin sensor element status through waveform algorithms is as follows: Based on the waveform function operation command, the corresponding sensor waveform loading command is issued, and the waveform algorithm loading and startup are completed on the distributed signal processing unit. According to different waveform algorithms, the frequency point, bandwidth, and working mode corresponding to the current waveform operation are configured. Further, based on signal processing algorithms such as signal modulation, signal coding, and beamforming, combined with the skin sensor element resources, the polarization mode, power amplifier mode, RF frequency point, RF signal bandwidth, transceiver status, RF channel working mode, signal sampling rate, modulation method, digital signal bandwidth, and other parameters of the skin sensor element are calculated. These parameters are then sent to the skin sensor element through the primary network for hardware status configuration.

[0037] In this process, a generalized design of waveform algorithms 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] Furthermore, the analysis process of the preprocessed signal based on the waveform algorithm is as follows:

[0039] If the preprocessed signal is a communication signal, it is demodulated, despread, and decoded to restore the frame information. After calculation, it forms data such as azimuth, distance, voice, and mode, and is re-framed and uploaded to the task processing unit.

[0040] If the preprocessed signal is a reconnaissance signal, then filtering, beamforming, signal detection, parameter estimation, sorting, and identification are performed to form target parameters and other data, which are then reframed and uploaded to the task processing unit.

[0041] If the preprocessed signal is an interference signal, then signal detection, source identification, and decision generation are performed to form interference strategy data, which are then reframed and uploaded to the task processing unit.

[0042] If the preprocessed signal is a detection signal, then beamforming, pulse compression, target detection, angle and azimuth extraction, data association, tracking filtering, and track formation are performed to generate target parameters, point tracks, and other data, which are then reframed and uploaded to the task processing unit.

[0043] In this process, a generalized design of waveform algorithms 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 element needs to be reconstructed according to the task, the task processing unit identifies the skin sensor element and distributed signal processing unit that need to be reconstructed according to the task, and issues instructions to stop running and unload waveform.

[0045] The skin sensor receives a stop command and, after stopping, sends its own status and waits for new commands.

[0046] The distributed signal processing unit executes the waveform unloading command. After unloading is completed and it receives its own status from the skin sensor, it sends an unloading completion signal and waits for new commands.

[0047] After the task processing unit receives the unloading completed signal sent by the distributed signal processing unit, it issues an updated waveform running command.

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

[0049] The beneficial effects of this invention are:

[0050] This invention provides a hierarchical distributed sensor system architecture and usage method for airborne platforms. Based on an open system architecture, it applies the concept of general digital system integration to radio frequency integration. Through modularity and field reconfigurability, it achieves hardware module universality, and then adds different software to realize different mission functions. Compared with existing sensor integration systems on airborne platforms, its advantages lie in breaking the traditional discrete avionics approach, ensuring system resource sharing, dynamic assembly of various sub-modules, improving equipment versatility and reliability, while simultaneously reducing system size, weight, and energy consumption, improving the system's electromagnetic interference resistance, and providing the best platform foundation for information fusion, integrated mission management, and synergistic efficiency. Ultimately, it achieves the optimal cost-effectiveness ratio of integrated electronic systems and is more adaptable to the future development trends of structural integration, intelligent control, and information fusion.

[0051] The integrated sensor system described in this invention features a simple and clear overall architecture, greatly reducing the complexity of system design, facilitating expansion, and making it suitable for widespread application on airborne platforms. Furthermore, its standardized and modular design improves resource reuse, enables flexible functional configuration, significantly shortens development time, reduces labor and time costs, and enhances design efficiency. Attached Figure Description

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

[0053] Figure 2 This is a block diagram of the physical architecture of the airborne hierarchical distributed integrated sensor system of the present invention. Detailed Implementation

[0054] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0055] Guided by the open avionics architecture, a concrete, flattened, hierarchical, distributed, integrated sensor system reference architecture is formed. Functional blocks based on typical waveform processing for communication, navigation, etc., are as follows: Figure 1 As shown, a logical processing architecture for an airborne integrated sensor system is formed. Various antennas, RF interfaces, and other RF front-end components have similar functions, performing RF signal transmission and reception processing and interacting with the back-end (general signal processing) to exchange high-speed digital intermediate frequency signals. General signal processing and data processing have similar functions, performing digital signal processing and information parsing, interacting with the front-end (skin) to exchange high-speed digital intermediate frequency signals, and interacting with the back-end (task processing) to exchange business data. Therefore, after merging and unifying the various functional blocks, a system is formed as follows: 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 a distributed skin microsystem primary processing platform and a distributed signal processing secondary processing platform. A task processing tertiary processing platform can be added as needed. The specific description is as follows.

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

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

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

[0060] b) All antennas are broadband universal apertures, divided into three frequency bands: DC-2GHz, 2GHz-18GHz, and 18GHz-40GHz. Aperture synthesis is achieved through broadband design, reducing the number of antennas.

[0061] c) The antenna employs a low-profile or tile-type phased array design. The tile-type phased array antenna utilizes a three-dimensional stacked ultra-thin architecture, featuring an 8×8 radiating array based on tightly coupled dipole technology. A low-profile stacked dipole circuit layout achieves broadband matching and thickness reduction. Each array element connects to one T / R channel, and an integrated module is achieved through multi-layer stacking of energy storage / beam control / feed circuits. The miniaturized subarray design enables scalability; the array can be expanded to form a large overall array surface through splicing. Subarray resources can be rationally allocated according to requirements, making the antenna layout on the aircraft surface more flexible and adaptable, while also facilitating conformal aperture design.

[0062] d) The skin microsystem supports multiple functions to switch or operate simultaneously through parameter configuration and circuit reconfiguration. Antenna reconfiguration includes switching parameters such as polarization and power amplifier mode; RF circuit reconfiguration includes switching parameters such as frequency point, RF signal bandwidth, transmit / receive status, and operating mode; and RF signal preprocessing reconfiguration includes switching parameters such as sampling rate, modulation method, and digital signal bandwidth.

[0063] e) The RF transceiver channel adopts a universal design to meet the needs of various waveform functions in the broadband band; the RF signal preprocessing adopts a highly integrated RFSOC design, which integrates multi-channel parallel broadband RF sampling, digital filtering and other digital preprocessing content with the RF transceiver channel to support the front-end of RF processing.

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

[0065] (2) Two-level distributed signal processing platform

[0066] Primarily used for signal and information processing of various sensors, it possesses massively parallel floating-point computing capabilities and provides various computational information and business data. The application layer is loaded onto the heterogeneous computing units of the distributed processing platform, while the service layer is loaded onto digital signal processing or heterogeneous computing units on demand. Compared to traditional airborne equipment, the secondary distributed signal processing platform in this architecture, in addition to possessing conventional computing resources such as floating-point and fixed-point computing power and supporting the operation of processing algorithms based on algorithm components, must also 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 serving as an acceleration array to provide powerful peak computing capabilities and support neural computing computing resources;

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

[0069] The communication middleware abstracts and encapsulates communication data, abstracts the transmission methods of aviation buses such as RDMA, UDP, TCP, FC, and AFDX, and encapsulates different types of communication methods into a unified communication interface, which can be directly called to transmit data, thus achieving hardware and software decoupling.

[0070] The network management middleware completes the configuration, management and control of network data plane devices, builds 10 Gigabit software-defined networks based on COTS Ethernet switching chips, and separates the control plane and data plane through the network management middleware, enabling rapid network deployment and reconstruction, and enhancing the network's flexibility, adaptability and reliability.

[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, accelerates signal processing algorithms, and supports algorithm configuration and rapid reconfiguration based on algorithm operators.

[0072] c) Computing resources can be rapidly expanded by accessing a primary network.

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

[0074] If a third level is required, the third-level distributed task processing unit will complete intelligent information processing for task-oriented and human-computer interaction, mainly implementing domain services and basic services.

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

[0076] Because the new architecture front-ends RF processing, and to meet the resource sharing requirements of the open architecture, the primary skin microsystem needs to transmit massive amounts of near-raw data to the back-end processing platform in real time. Therefore, the platform employs a high-speed open switching network to meet the high-bandwidth, low-latency signal data exchange requirements between the primary skin microsystem and the secondary signal processing platform, enabling flexible expansion and plug-and-play functionality of platform resources. High-speed network and standard interface design requirements include:

[0077] a) The primary network is a high-speed network, which is a fiber optic network formed by cascading multiple high-speed network switching chips (such as the Nanfei Micro SF9564 chip). It supports one or more high-speed transmission protocols among RDMA, UDP, TCP, and SRIO. Among them, 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 calculation through a double buffer 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 the distributed signal processing unit, at least one interface connected to other high-speed network switching chips, and other interfaces connected to the skin sensor element, thereby expanding resources 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 function allocation fully considers the system requirements, assigning each functional subdomain of the system to physical unit entities, and taking into account the additional sub-functions required for internal data interaction after system redundancy backup and entity division.

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

[0082] Typical sensor functions operating within this architecture fall into two categories based on their processing resource requirements.

[0083] For functional waveforms with high resource requirements, the task processing unit deploys the functions according to resource needs. Control commands are then transmitted to the distributed signal processing platform to be deployed via a secondary network. The distributed signal processing unit platform runs waveform algorithms and further issues configuration commands to the controlled primary skin microsystems. After the primary skin microsystems complete the reception and transmission of radio frequency signals and the sampling of multi-channel broadband signals, the primary network, i.e., the distributed high-speed switching network, calls the network management middleware and communication middleware to transmit massive amounts of raw sampled data to the backend distributed signal processing platform. The distributed signal processing platform calls the signal processing middleware to accelerate the signal processing algorithm, parse out the business data, and report it to the task processing unit via the primary network. As needed, it performs data interaction or information-level data fusion with other task systems and finally displays the data on the cockpit display and control system.

[0084] For functional waveforms with low processing resource requirements, the secondary distributed processing platform can be skipped, and the processing resources in the primary skin microsystem can directly calculate the reception, transmission, modulation, demodulation, and signal processing of the functional waveforms, and then report the final parsed business data to the task processing unit.

[0085] When the system requires sensor function reconfiguration and switching, the task processing unit identifies the skin and processing resources that need to be switched according to the requirements, issues commands to stop running and waveform unload, and calls the network management middleware to reconfigure the network topology. After the hardware platform replies with a status report of waiting for deployment, it issues updated waveform function running commands, redeploys skin and processing resources in stages 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 operates as follows in this architecture:

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

[0089] The task processing unit generates communication data link execution 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 loads waveform algorithms from the cache according to the communication data link function operation instructions, and outputs frequency point, bandwidth, and working mode configuration instructions to N mid-frequency band skin sensors according to the waveform function requirements.

[0091] These N skinned sensors are configured with operating status according to instructions, generate radio frequency transmission signals with corresponding frequency points, bandwidths and working modes, and radiate the signals into the air through antennas according to beamforming and pointing requirements.

[0092] These N skin-mounted sensors receive communication data link signals sent by other devices via antennas;

[0093] These N skinned sensors filter, amplify, and down-convert the received radio frequency signals, then perform analog-to-digital conversion via a high-speed AD converter, and transmit the pre-processed baseband signal back to the distributed signal processing unit through a primary network.

[0094] This distributed signal processing unit is based on CPU+GPU+FPGA resources. It demodulates, despreads, and decodes the baseband signal according to the waveform algorithm of the communication data link, and parses out information such as voice and data through the protocol, and sends 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 description is merely a specific embodiment of the present invention, providing a detailed description of the invention. Parts not covered herein are conventional techniques. However, the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention. The scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A hierarchical distributed sensor system architecture for airborne platforms, characterized in that: include: Distributed skin microsystem, distributed signal processing unit, task processing unit, primary network, secondary network; The distributed skin microsystem includes N skin sensors, where N is not less than 2; each skin sensor includes an antenna, an RF front-end, and an RF signal preprocessing unit. All antennas are broadband universal apertures, and are divided into three frequency bands: DC-2GHz, 2GHz-18GHz, and 18GHz-40GHz. The antennas adopt a low profile or tile-type phased array design. The tile-type phased array antennas are formed by splicing miniaturized subarrays to form an overall large array surface. N skin-mounted sensors are connected to a primary network; the primary network is connected to M distributed signal processing units, where M is not less than 1; the primary network is a high-speed network, which is a fiber optic network formed by cascading multiple sets of high-speed network switching chips. 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 the skin-mounted sensors. M distributed signal processing units are connected to a secondary network, which in turn connects to a task processing unit, which in turn connects to the cockpit display and control system. The distributed signal processing units include CPU+GPU and FPGA. Middleware is deployed on each distributed signal processing unit, comprising three types: communication middleware, network management middleware, and signal processing middleware. The communication middleware abstracts and encapsulates communication data, abstracting transmission methods for RDMA, UDP, TCP, FC, and AFDX aviation buses, and encapsulating different communication methods into a unified communication interface for direct data transmission, achieving hardware-software decoupling. The network management middleware configures, manages, and controls network data plane devices, constructing a 10 Gigabit software-defined network based on COTS Ethernet switching chips. The network management middleware separates the control plane from the data plane, enabling rapid network deployment and reconfiguration. The signal processing middleware abstracts and encapsulates computing resources, constructing an airborne signal processing operator library based on a shared architecture, covering typical waveform function signal processing algorithm requirements.

2. The architecture according to claim 1, characterized in that: The primary network supports one or more high-speed transmission protocols among RDMA, UDP, TCP, and SRIO.

3. The architecture according to claim 2, characterized in that: The secondary network is a low-speed network that supports FC fiber optic bus, AFDX aviation full-duplex switched Ethernet bus, TSN time-sensitive network, and Ethernet protocol.

4. A method for using a hierarchical distributed sensor system architecture for airborne platforms, implemented based on the architecture described in any of the preceding claims, characterized in that: The steps are as follows: Step 1: Receive the mission from the aircraft platform; Step 2: The task processing unit generates waveform function execution instructions according to the resource requirements of the task and sends them to the distributed signal processing unit; Step 3: The distributed signal processing unit runs the waveform algorithm according to the waveform function execution instruction, outputs the skin sensor element status configuration instruction, and sends it to the corresponding skin sensor element; Step 4: Configure the operating status of the skin sensor element and output the corresponding transmission signal; Step 5: The skin sensor receives radio frequency signals; Step 6: Sample and preprocess the radio frequency signal, and send the preprocessed signal to the distributed signal processing unit; Step 7: The distributed signal processing unit analyzes the preprocessed signal according to the waveform algorithm. The process is as follows: If the preprocessed signal is a communication signal, it is demodulated, despread, and decoded to restore the frame information. After calculation, it forms azimuth, distance, voice, and mode data, which are then re-framed and uploaded to the task processing unit. If the preprocessed signal is a reconnaissance signal, then filtering, beamforming, signal detection, parameter estimation, sorting, and identification are performed to form target parameter data, which is then reframed and uploaded to the task processing unit. If the preprocessed signal is an interference signal, then signal detection, source identification, and decision generation are performed to form interference strategy data, which is then reframed and uploaded to the task processing unit. If the preprocessed signal is a detection signal, then beamforming, pulse compression, target detection, angle and azimuth extraction, data association, tracking filtering, and track formation are performed to generate target parameters and point track data, which are then reframed and uploaded to the task processing unit; waveform data is generated and transmitted back; and the data is sent 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.

5. The method according to claim 4, characterized in that: In step two, the waveform function operation instructions include waveform loading instructions and waveform unloading instructions, waveform parameter configuration, and sensor health management; the waveform function feedback data includes waveform service data, waveform status data, and sensor status data.

6. The method according to claim 5, characterized in that: In step three, according to the waveform function operation instruction, the corresponding sensor waveform loading instruction is selected, and the waveform algorithm loading and startup are completed on the distributed signal processing unit. According to different waveform algorithms, the frequency point, bandwidth, and working mode corresponding to the current waveform operation are configured. Furthermore, based on the signal modulation, signal encoding, and beamforming signal processing algorithms, combined with the skin sensor resources, the polarization mode, power amplifier mode, RF frequency point, RF signal bandwidth, transmit / receive status, RF channel working mode, signal sampling rate, modulation method, and digital signal bandwidth parameters of the skin sensor are further calculated. These parameters are then sent to the skin sensor through the primary network for hardware status configuration.

7. The method according to claim 6, characterized in that: When the skin sensor element needs to be reconstructed according to the task, the task processing unit identifies the skin sensor element and distributed signal processing unit that need to be reconstructed according to the task, and issues instructions to stop running and unload waveform. The skin sensor receives a stop command and, after stopping, sends its own status and waits for new commands. The distributed signal processing unit executes the waveform unloading command. After unloading is completed and it receives its own status from the skin sensor, it sends an unloading completion signal and waits for new commands. After the task processing unit receives the unloading completed signal sent by the distributed signal processing unit, it issues an updated waveform running command. The distributed signal processing unit loads a new waveform algorithm.

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