Novel airborne integrated radio frequency system architecture and control method thereof

Abstract

The invention discloses a novel airborne integrated radio frequency system architecture and a control method thereof, and the system comprises a POP input module which is used for carrying out task planning according to the task content inputted by a user, and transmitting a task requirement to an effect evaluation center; the strategy adjustment center module is used for selecting a pre-sampling storage parameter, a pre-calculation parameter, a data storage parameter and a processing algorithm; the preposed signal processing center module is used for carrying out preposed sampling storage and preposed calculation on the radio frequency signal; the information processing center module is used for carrying out network storage and network calculation on the pre-calculation result; and the effect evaluation center module is used for comparing and analyzing the task requirement and the information processing result to obtain feedback information and an information evaluation result. According to the invention, a planning, execution, inspection and processing task cycle structure is adopted, and a plurality of advanced technologies such as intelligent skin, integration, intelligence, distribution, photonization and software are integrated, so that the universality and reconfigurability of the airborne integrated radio frequency system are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of radio frequency system architectures, and in particular to a novel airborne integrated radio frequency system architecture. Background Art

[0002] With the development of modern warfare, future avionics systems are evolving from discrete architectures towards integrated and cross-platform distributed architectures. Based on signal integration processing and information integration processing within a single platform, multi-functional integration and cross-platform distributed integrated mission processing are further realized. Technologies such as integration, intelligence, cloud computing, and service orientation are adopted to achieve multi-functional integration. Based on the data processing units of each platform, a cross-platform distributed cloud computing environment and service sharing platform are constructed, and platform-independent distributed combat management and system tactical application components are deployed to support the construction and operation of a distributed kill network.

[0003] Facing the development of future combat forms, new requirements are put forward for the integration and intelligence of avionics systems. As the basic support and core carrier for realizing the integration of the capabilities of aviation weapon equipment systems, avionics systems must break through the shackles of the traditional development mode of single-platform systems. On the one hand, they need to transform from discrete to integrated modular, and on the other hand, they need to transform to a cross-platform development mode, redefining their constituent elements, relationships, and evolution methods. At the same time, to adapt to the future combat environment, intelligent avionics systems must be developed to achieve intelligent perception, autonomous regulation, and environmental target characteristic update of the combat environment and combat targets. The next-generation avionics system architecture presents characteristics such as deep openness, elastic expansion, intelligent autonomy, cross-domain interconnection, and native collaboration.

[0004] The airborne integrated radio frequency system, as an important part of the avionics system, undertakes multiple radio frequency tasks such as radar, communication, electronic warfare, and navigation. Around 2000, the US Air Force developed an integrated radio frequency integration system with aperture sharing, data processing modularization, resource sharing, and reconfigurability for the F-22 and F-35 fighter jets based on the Gemstone Post and Gemstone Palace programs. Most of the existing airborne integrated radio frequency system architectures in China have evolved from the highly integrated avionics architectures around 2000. Currently, the airborne integrated radio frequency system, on the one hand, cannot adapt to the modern distributed combat system, and on the other hand, it cannot achieve unified resource scheduling and allocation when facing various radio frequency function requirements such as detection, interference, reconnaissance, communication, navigation, and identification, greatly increasing the system complexity and development cost. Summary of the Invention

[0005] The present invention proposes a novel airborne integrated radio frequency system architecture to solve the problems that the existing airborne integrated radio frequency system cannot adapt to the modern distributed combat system and cannot achieve unified resource scheduling and allocation when facing various radio frequency function requirements such as detection, interference, reconnaissance, communication, navigation, and identification.

[0006] The present invention provides the following technical solutions: In a first aspect, this specification provides a novel airborne integrated radio frequency system architecture, including a POP input module, a strategy adjustment center module, a pre-signal processing center module, an information processing center module, and an effect evaluation center module, wherein: The POP input module is used to perform task planning based on the radio frequency task content input by the user (including detection, interference, reconnaissance, communication, navigation, and identification) to obtain task requirements, and send the task requirements to the effect evaluation center module; The strategy adjustment center module is used to receive the feedback information sent by the effect evaluation center module, and obtain waveform generation parameters, signal reception parameters, pre-sampling storage parameters, pre-computation parameters, data storage parameters, and processing algorithms according to the target characteristics, environmental characteristics, prior knowledge, and the feedback information, send the pre-sampling storage parameters and the pre-computation parameters to the pre-signal processing center module, and send the data storage parameters and the processing algorithms to the information processing center module; The pre-signal processing center module is used to receive the pre-sampling storage parameters and the pre-computation parameters sent by the strategy adjustment center module, integrate the radio frequency front end, process the radio frequency signal according to the pre-sampling storage parameters to obtain a signal acquisition result, perform pre-sampling storage and pre-computation according to the signal acquisition result, the pre-sampling storage parameters, and the pre-computation parameters to obtain a pre-computation result, and send the pre-computation result to the information processing center module; The information processing center module is used to receive the data storage parameters and the processing algorithms sent by the strategy adjustment center module, receive the pre-computation result sent by the pre-signal processing center module, perform network storage on the pre-computation result according to the data storage parameters, perform network calculation on the pre-computation result according to the processing algorithms to obtain an information processing result, and send the information processing result to the effect evaluation center module; The effect evaluation center module is used to receive the task requirements sent by the POP input module and the information processing result sent by the information processing center module, perform comparison and analysis on the task requirements and the information processing result to obtain feedback information and an information evaluation result, and send the feedback information to the strategy adjustment center module.

[0007] In a second aspect, this specification provides a method for controlling the novel airborne integrated radio frequency system architecture, including: The POP input module performs task planning based on the radio frequency task content input by the user (including detection, interference, reconnaissance, communication, navigation, identification), obtains task requirements, and sends the task requirements to the effect evaluation center; The strategy adjustment center module receives the feedback information sent by the effect evaluation center module, and based on the target characteristics, environmental characteristics, prior knowledge, and the feedback information, obtains waveform generation parameters, signal reception parameters, pre-sampling storage parameters, pre-computation parameters, data storage parameters, and processing algorithms. It sends the pre-sampling storage parameters and the pre-computation parameters to the pre-signal processing center module, and sends the data storage parameters and the processing algorithms to the information processing center module; The pre-signal processing center module receives the pre-sampling storage parameters and the pre-computation parameters sent by the strategy adjustment center module. This module integrates the radio frequency front end, processes the radio frequency signal according to the pre-sampling storage parameters to obtain a signal acquisition result, and performs pre-sampling storage and pre-computation based on the signal acquisition result, the pre-sampling storage parameters, and the pre-computation parameters to obtain a pre-computation result, and sends the pre-computation result to the information processing center module; The information processing center module receives the data storage parameters and the processing algorithms sent by the strategy adjustment center module, receives the pre-computation result sent by the pre-signal processing center module, stores the pre-computation result in a network according to the data storage parameters, and performs network computing on the pre-computation result according to the processing algorithm to obtain an information processing result, and sends the information processing result to the effect evaluation center module; The effect evaluation center module receives the task requirements sent by the POP input module and the information processing result sent by the information processing center module, compares and analyzes the task requirements and the information processing result to obtain feedback information and an information evaluation result, and sends the feedback information to the strategy adjustment center module.

[0008] The novel airborne integrated radio frequency system architecture provided by the embodiment of the present invention adopts a PDCA task loop structure, namely Plan (Plan), Do (Execute), Check (Check), Act (Process), and integrates a number of advanced technologies such as intelligent skin, integration, intelligence, distribution, photonics, and software, thereby effectively improving the versatility, reconfigurability, and scalability of the airborne integrated radio frequency system. Description of the Drawings

[0009] Figure 1 It is a schematic diagram of the novel airborne integrated radio frequency system architecture in the embodiment of the present invention.

[0010] Other features and advantages of the present invention will be set forth in the following description, and in part will be obvious from the description, or may be learned by practice of the present invention. The objectives and other advantages of the present invention may be realized and attained by the structure particularly pointed out in the written description, claims, as well as the drawings. Detailed Embodiments

[0011] To make the objectives, technical solutions, and advantages of this specification clearer, the following will clearly and completely describe the technical solutions of this specification in conjunction with specific embodiments of this specification and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments in this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this specification.

[0012] As described herein, the term "including" and its various variants can be understood as open-ended terms, meaning "including but not limited to", and the term "one embodiment" can be understood as "at least one embodiment".

[0013] The inventors have found that on the one hand, the existing airborne integrated radio frequency system cannot adapt to the modern distributed combat system, and on the other hand, it cannot achieve unified resource scheduling and allocation when facing various radio frequency function requirements such as detection, interference, reconnaissance, communication, navigation, and identification, greatly increasing the system complexity and development cost. In view of this, in the embodiments of the present invention, by adopting a PDCA task cycle structure and integrating a number of advanced technologies such as intelligent skin, integration, intelligence, distribution, photonics, and software, the versatility, reconfigurability, and scalability of the airborne integrated radio frequency system are effectively improved.

[0014] Embodiment 1 Figure 1 Schematically shows the architecture of a new type of airborne integrated radio frequency system according to an embodiment of the present application, including: a POP input module, a policy adjustment center module, a pre-signal processing center module, an information processing center module, and an effect evaluation center module.

[0015] Specifically, the POP input module is used to perform task planning according to the radio frequency task content (including detection, interference, reconnaissance, communication, navigation, identification) input by the user to obtain task requirements, and send the task requirements to the effect evaluation center module.

[0016] Specifically, the policy adjustment center module is configured to receive the feedback information sent by the effect evaluation center module, and obtain waveform generation parameters, signal reception parameters, pre-sampling storage parameters, pre-computation parameters, data storage parameters, and processing algorithms according to the target characteristics, environmental characteristics, prior knowledge, and the feedback information. Then, it sends the pre-sampling storage parameters and the pre-computation parameters to the front-end signal processing center module, and sends the data storage parameters and the processing algorithms to the information processing center module.

[0017] Specifically, the front-end signal processing center module is configured to receive the pre-sampling storage parameters and the pre-computation parameters sent by the policy adjustment center module. This module integrates the RF front-end, processes the RF signal according to the pre-sampling storage parameters to obtain a signal acquisition result, and performs pre-sampling storage and pre-computation based on the signal acquisition result, the pre-sampling storage parameters, and the pre-computation parameters to obtain a pre-computation result. Then, it sends the pre-computation result to the information processing center module.

[0018] Specifically, the information processing center module is configured to receive the data storage parameters and the processing algorithms sent by the policy adjustment center module, receive the pre-computation result sent by the front-end signal processing center module, perform network storage on the pre-computation result according to the data storage parameters, and perform network computation on the pre-computation result according to the processing algorithms to obtain an information processing result. Then, it sends the information processing result to the effect evaluation center module.

[0019] Specifically, the effect evaluation center module is configured to receive the task requirements sent by the POP input module and the information processing result sent by the information processing center module, compare and analyze the task requirements and the information processing result to obtain feedback information and an information evaluation result, and send the feedback information to the policy adjustment center module.

[0020] Optionally, the policy adjustment center module includes a radio frequency front-end parameter determination module, a pre-signal processing parameter determination module, and an information processing parameter determination module, where: The radio frequency front-end parameter determination module is configured to receive the feedback information sent by the effect evaluation center module, compare the feedback information with the target feature library and the environment feature library to obtain a matching result, select the parameters corresponding to the matching result from the mode library and the waveform library, use an intelligent selection method to obtain waveform generation parameters and signal reception parameters, and send the waveform generation parameters and the signal reception parameters to the pre-signal processing parameter determination module to achieve multiple radio frequency functions such as optimal detection, interference, reconnaissance, communication, navigation, and identification; The pre-signal processing parameter determination module is configured to receive the feedback information sent by the effect evaluation center module, receive the waveform generation parameters and the signal reception parameters sent by the radio frequency front-end parameter determination module, and use an intelligent algorithm to obtain pre-sampling storage parameters and pre-computation parameters according to the target characteristics, environment characteristics, prior knowledge, the feedback information, the waveform generation parameters, and the signal reception parameters, and send the pre-sampling storage parameters and the pre-computation parameters to the pre-signal processing center module; The information processing parameter determination module is configured to receive the feedback information sent by the effect evaluation center module, and obtain data storage parameters and processing algorithms according to the target characteristics, environment characteristics, prior knowledge, and the feedback information, and send the data storage parameters and the processing algorithms to the information processing center module.

[0021] Optionally, the effect evaluation center module is further configured to receive a collaborative task instruction sent by another platform in a radio frequency communication manner, obtain collaborative feedback information according to the collaborative task instruction, and send the collaborative feedback information to the policy adjustment center module. The collaborative feedback information includes collaborative task requirements and collaborative methods; The policy adjustment center module is further configured to receive the collaborative feedback information sent by the effect evaluation center module, and obtain waveform generation parameters, signal reception parameters, pre-sampling storage parameters, pre-computation parameters, data storage parameters, and processing algorithms according to the target characteristics, environment characteristics, prior knowledge, and the collaborative feedback information, and send the pre-sampling storage parameters and the pre-computation parameters to the pre-signal processing center module, and send the data storage parameters and the processing algorithms to the information processing center module.

[0022] Optionally, the policy adjustment center module is further configured to perform system synchronization and set the required transceiver timing according to the collaborative feedback information.

[0023] Optionally, the pre-signal processing center module is ultrathinly and conformally integrated with the RF front-end relying on intelligent skin technology, and includes a packaging functional layer, an RF functional layer, and a signal processing functional layer. The packaging functional layer includes a support medium and a heat-insulating and insulating medium. The RF functional layer includes a high-density transceiver antenna, a TR component, a flexible temperature control layer, and a feeding layer. The signal processing functional layer includes a wave control circuit, a power management layer, and a many-core processing layer. Among them: The policy adjustment center module is further configured to send the waveform generation parameters and the signal reception parameters to the wave control circuit; the wave control circuit is configured to receive the waveform generation parameters and the signal reception parameters sent by the policy adjustment center module, and control the RF front-end to transmit and receive RF signals according to the waveform generation parameters and the signal reception parameters; the RF functional layer is configured to transmit and receive RF signals, adopts microwave photon technology, and utilizes the local oscillator source with high frequency / multi-band, the arbitrary waveform generation characteristics with high precision / large bandwidth, and the modulation and demodulation transmission characteristics with low loss / anti-electromagnetic interference to improve the RF signal generation and sampling quality. The many-core processing layer is configured to receive the pre-sampling storage parameters and the pre-computation parameters sent by the policy adjustment center module, process the RF signals according to the pre-sampling storage parameters to obtain signal acquisition results, perform pre-computation according to the signal acquisition results, the pre-sampling storage parameters, and the pre-computation parameters to obtain pre-computation results, and send the pre-computation results to the information processing center module.

[0024] Optionally, the many-core processing layer is specifically configured to receive the pre-sampling storage parameters and the pre-computation parameters sent by the policy adjustment center module, sample and store the signals according to the pre-sampling storage parameters and the pre-computation parameters for post-event playback and analysis, and at the same time, the field programmable gate array performs unified serial processing on the signal sampling results to obtain pre-computation results, and sends the pre-computation results to the information processing center module; and the unified serial processing includes, but is not limited to, pre-filtering processing, pulse compression processing, and matched filtering processing.

[0025] Optionally, the information processing center module includes a network storage module and a network computing module, where: the network storage module is configured to receive the data storage parameters sent by the policy adjustment center module, receive the pre-computation results sent by the pre-signal processing center module, and perform network storage on the pre-computation results according to the data storage parameters; the network computing module is configured to receive the processing algorithm sent by the policy adjustment center module, read the pre-computation results in the network storage module, and perform network computing on the pre-computation results by using a digital signal processor, a graphics processor, or a neural network processor according to the processing algorithm to obtain information processing results; and the policy adjustment center module is further configured to receive the feedback information sent by the effect evaluation center module, obtain updated task requirements according to the target characteristics, environmental characteristics, prior knowledge, and the feedback information, re-select an algorithm corresponding to the task requirements in the algorithm library to obtain a processing algorithm, and send the processing algorithm to the network computing module. The algorithms in the algorithm library include pre-trained computing networks.

[0026] Optionally, the feedback information includes, but is not limited to, environmental feedback information, interference source feedback information, detected target signal-to-noise ratio feedback information, tracked point trajectory feedback information, and target characteristic feedback information.

[0027] Optionally, the information evaluation results include, but are not limited to, communication information, navigation results, target detection results, point trajectory tracking results, target characteristics, and recognition results.

[0028] In one implementation, the implementation solution of the novel airborne integrated radio frequency system architecture includes: 1) The radio frequency front end and the signal processing end adopt intelligent skin technology to achieve ultra-thin conformal integration and opportunistic arraying, and combine adjustment strategies to achieve intelligent regulation of multi-functional radio frequency; 2) The radio frequency channel adopts photonic microwave technology to achieve ultra-wideband and high-quality transceiver; 3) The signal processing end adopts integration technology to integrate multiple radio frequency functions such as detection, interference, reconnaissance, communication, navigation, and recognition; 4) The information processing end adopts intelligent technology to achieve AI processing based on task-driven and environment perception, and adopts software technology to achieve more flexible function development; 5) The overall architecture adopts edge computing and cloud computing technologies to achieve distributed collaborative integrated radio frequency tasks.

[0029] The above embodiments construct a new type of airborne integrated RF system architecture, which improves the capabilities of the existing airborne integrated RF system through a number of advanced technologies such as intelligent skin, integration, intelligence, distribution, photonics, and software. The PDCA task cycle structure, namely Plan (planning), Do (execution), Check (checking), and Act (processing), is adopted to effectively improve the versatility, reconfigurability, and scalability of the airborne integrated RF system to support the existing aviation weaponry to further form future combat capabilities.

[0030] Embodiment 2 Another embodiment of the present application provides a method for controlling a new type of airborne integrated RF system architecture, including: Step (1), POP input.

[0031] Specifically, the POP input is carried out according to the following steps: Step (1a), Carry out task planning by combining various RF functions such as detection, interference, reconnaissance, communication, navigation, and identification to form task requirements.

[0032] Step (1b), Input the task requirements into the effect evaluation center for subsequent comparison and analysis with the information processing results to form feedback information.

[0033] Step (2), Strategy adjustment.

[0034] Specifically, the strategy adjustment is carried out according to the following steps: Step (2a), The strategy adjustment center receives the feedback information from the effect evaluation center, and combines the target characteristics, environmental characteristics, and prior knowledge, and uses an intelligent algorithm to generate waveform generation parameters and signal reception parameters for RF front-end transceiver settings and intelligent regulation.

[0035] Among them, the intelligent generation of waveform generation parameters and signal reception parameters by combining target characteristics, environmental characteristics, and prior knowledge encompasses cognitive RF transceiver-related technologies. This architecture has the intelligent perception ability and memory ability for target and environmental information, and combines prior knowledge to generate optimal transmission waveform parameters and signal reception parameters in real time to achieve the optimal matching of the system with the target and the environment.

[0036] Specifically, the implementation of step (2a) includes the following steps: The first step, Input or update prior knowledge such as target characteristics and environmental characteristics from the effect evaluation center; The second step, The strategy adjustment center compares and matches the task requirements generated by the effect evaluation center with the feedback information of the processing results with the target feature library and the environmental feature library, and selects the required parameters in the mode library and the waveform library; In the third step, waveform generation parameters and signal reception parameters are used for radio frequency transceiver settings to achieve various radio frequency functions such as optimal detection, interference, reconnaissance, communication, navigation, and identification.

[0037] Step (2b): In the face of collaborative tasks of distributed platforms, the strategy adjustment center should read the feedback information from other platforms as collaborative instructions, and combine the target characteristics, environmental characteristics, and prior knowledge to generate waveform generation parameters and signal reception parameters using corresponding intelligent methods.

[0038] Among them, the distributed collaborative task is oriented to new combat concepts, mainly relying on edge computing and cloud computing technologies. Through the strategy adjustment center, edge computing tasks are allocated to each platform, and the processing results can be sent to the central node for unified scheduling and comprehensive processing via communication, or connected to a cloud server for large-scale operations, greatly reducing the complexity and uncertainty of the multi-platform avionics system and solving the problems of radio frequency system architecture design and flexible construction for multi-platforms.

[0039] Specifically, the implementation of step (2b) includes the following steps: In the first step, read the distributed collaborative tasks from other platforms. The collaborative task instructions are usually obtained in the effectiveness evaluation center through communication. The effectiveness evaluation center extracts feedback information such as task requirements and collaborative methods and sends them to the strategy adjustment center; In the second step, the strategy adjustment center adjusts radio frequency transmission and reception parameters, pre-signal processing parameters, information processing parameters, etc. according to the feedback information to achieve various collaborative tasks (such as distributed MIMO, distributed collaborative detection and identification, etc.).

[0040] Step (2c): The strategy adjustment center generates pre-sampling storage parameters and pre-computation parameters according to the above feedback information, target characteristics, environmental characteristics, and prior knowledge for pre-sampling storage and pre-computation of radio frequency received signals.

[0041] Step (2d): The strategy adjustment center simultaneously generates data storage parameters and selects a processing algorithm for storing and information processing of the pre-computation results.

[0042] Step (3): Pre-signal processing.

[0043] When specifically implemented, pre-signal processing is carried out according to the following steps: Step (3a): The pre-signal processing center samples and stores the radio frequency signal according to the pre-sampling storage parameters provided by the strategy adjustment center.

[0044] Among them, the pre-signal sampling and storage mainly rely on the radio frequency channel microwave photon technology. With its local oscillator source with high frequency / multi-band, arbitrary waveform generation with high precision / large bandwidth, and modulation and demodulation transmission characteristics with low loss / anti-electromagnetic interference, it can effectively improve the quality of radio frequency signal generation and sampling. The original sampled data stored is used for post-event playback and analysis, providing a basis for the improvement of the airborne integrated radio frequency system architecture and processing algorithms.

[0045] Step (3b), the pre-signal processing center performs pre-signal calculation on the signal according to the pre-calculation parameters provided by the policy adjustment center and outputs the pre-calculation result.

[0046] Specifically, the pre-signal calculation is mainly reflected in the unified serial processing required for the sampled data, such as pre-filtering processing and pulse compression processing in radar tasks, and matched filtering processing in communication tasks, etc. This part of the processing is mainly completed by the field programmable gate array (FPGA).

[0047] Among them, the pre-signal processing center mainly relies on the new intelligent skin technology. The radio frequency front end and the pre-signal processing center adopt the highly integrated new intelligent skin technology to achieve ultra-thin and conformal, mainly including three functional layers: (1) The encapsulation functional layer mainly includes a support medium and a heat insulation and insulation medium; (2) The radio frequency functional layer mainly includes high-density transceiver antennas, TR components, a flexible temperature control layer, and a feeding layer; (3) The signal processing functional layer mainly includes a wave control circuit, a power management layer, and a many-core processing layer. The wave control circuit realizes the intelligent control of multi-function and radio frequency stealth according to the adaptive waveform generation parameters and signal reception parameters generated by the policy adjustment center. The many-core processing layer corresponds to the pre-signal processing center and realizes the sampling storage and pre-signal calculation of radio frequency signals according to the pre-sampling storage parameters and pre-calculation parameters generated by the policy adjustment center.

[0048] Step (4), information processing.

[0049] Specifically, the information processing is carried out according to the following steps: Step (4a), the information processing center performs network storage on the pre-calculation result according to the data storage parameters provided by the policy adjustment center.

[0050] Step (4b), the information processing center performs network calculation on the pre-calculation result according to the processing algorithm selected by the policy adjustment center and outputs the information processing result.

[0051] Among them, the algorithm processing realized through the computing network has characteristics such as intelligence, softwareization, flexible reconfiguration, and online learning.

[0052] Specifically, the implementation of step (4b) includes the following steps: First, according to different task requirements, the strategy adjustment center selects the corresponding processing algorithm or the trained computing network from the algorithm library; Second, the computing network reads the pre-computation results and their parameter lists in the storage network, and uses processing chips such as digital signal processors (DSPs), graphics processing units (GPUs), and neural network processors (NPUs) to achieve high-speed parallel processing; Third, according to the specific task, the processing results (such as the target point track information of the radar detection task, the voice information of the communication task, etc.) are output to the effect evaluation center; Fourth, the strategy adjustment center updates and adjusts the algorithm and the computing network according to the feedback information from the effect evaluation center and the prior knowledge, and completes algorithm reconstruction and online learning.

[0053] Step (5), evaluate the effect.

[0054] Specifically, the effect evaluation is carried out according to the following steps: Step (5a), the effect evaluation center compares and analyzes the information processing results and the task requirements, forms feedback information and sends it to the strategy adjustment center to realize the adjustment of cognitive parameters.

[0055] Step (5b), the effect evaluation center outputs the information processing results, including information such as target characteristics, transmitted information, and signal characteristics.

[0056] Compared with the prior art, this embodiment has at least the following advantages: 1. This embodiment adopts the intelligent skin technology at the RF front end and the signal processing end to realize ultra-thin conformal integration and opportunistic arraying, and can realize the intelligent control of multi-functional RF in combination with the adjustment strategy; 2. This embodiment adopts the microwave photonics technology in the RF channel to realize ultra-wideband high-quality transceiver; 3. This embodiment adopts the integration technology at the signal processing end to realize the integration of multiple RF functions such as detection, interference, reconnaissance, communication, navigation, and identification; 4. This embodiment adopts the intelligent technology at the information processing end to realize AI processing based on task-driven and environment perception, and adopts the software technology to realize more flexible function development; 5. This embodiment adopts the edge computing and cloud computing technologies in the multi-platform task collaboration to realize multi-platform collaborative detection, interference, reconnaissance, communication, navigation, identification and other multiple RF tasks.

[0057] Embodiment III Another embodiment of the present application provides a method for controlling the collaborative detection and identification of an airborne radar, including: Step 1, input of the radar detection and identification task.

[0058] In specific implementation, the following steps are carried out: Step 1.1) Set the radar detection and recognition task for a specified area, and require the detection, tracking and recognition of moving targets in the area; Step 1.2) Input task index requirements such as radar detection / false alarm probability, tracking accuracy, recognition rate, etc. into the effect evaluation center for subsequent comparison and analysis with the information processing results and form feedback information.

[0059] Step Two: Strategy adjustment.

[0060] In specific implementation, the following steps are carried out: Step 2.1) The strategy adjustment center receives feedback information such as environmental information, signal-to-noise ratio of detected targets, tracking point trajectories, target characteristics, etc. in the effect evaluation center, and combines prior knowledge such as target characteristics and environmental characteristics to generate optimal waveform generation parameters and signal reception parameters, and control the radio frequency front-end transceiver; Step 2.2) To achieve distributed collaborative detection and recognition, the strategy adjustment center of each platform also receives communication information of other platforms from the evaluation center, obtains distributed task collaboration instructions, performs system synchronization and sets the required transceiver time sequence, and also makes decision adjustments to waveform generation parameters, signal reception parameters, signal and information processing parameters, etc. according to specific collaboration task requirements. In the collaborative detection stage, each radar performs separate detection and tracking processing, and fuses the point trajectories to form more reliable detection and tracking results. In the recognition stage, the recognition confidence is improved by comprehensively judging the recognition results of multiple radars; Step 2.3) The strategy adjustment center generates corresponding pre-sampling storage parameters and pre-computation parameters according to different radar emission waveforms and signal reception parameters, mainly including down-conversion, quadrature demodulation, pulse compression processing, etc. of echo signals. The stored original sampling data can be used for post-event playback and analysis.

[0061] Step 2.4) The strategy adjustment center generates data storage parameters and selects processing algorithms for the storage of pre-computation results and information processing, selects the corresponding CFAR detection algorithm in the detection stage, selects the corresponding target motion model and associated filtering algorithm in the tracking stage, and selects the corresponding matching algorithm in the recognition stage.

[0062] Step Three: Pre-signal processing.

[0063] In specific implementation, the following steps are carried out: Step 3.1) The pre-signal processing center integrated in the intelligent skin processes the radio frequency signal such as down-conversion, quadrature demodulation, sampling, etc. according to the pre-sampling storage parameters provided by the strategy adjustment center to generate the original sampling signal; Step 3.2) The pre-signal processing center performs pre-computation on the signals according to the pre-computation parameters provided by the policy adjustment center, and performs processing such as pulse compression and pre-filtering on the sampled signals to generate unified format data that meets the requirements of subsequent algorithm processing.

[0064] Step Four: Information Processing.

[0065] Specifically, it is carried out according to the following steps: Step 4.1) The information processing center performs network storage on the radar signals after pre-computation according to the data storage parameters provided by the policy adjustment center; Step 4.2) The information processing center distributes the data in the storage network to one or more processors, which are usually composed of high-speed processing chips such as digital signal processors (DSPs), graphics processors (GPUs), and neural network processors (NPUs), and uses the selected detection, tracking, and recognition algorithms to perform network parallel computing on the results after pre-computation.

[0066] Step Five: Evaluation of Effect.

[0067] Specifically, it is carried out according to the following steps: Step 5.1) The effect evaluation center compares and analyzes the target detection, tracking, and recognition results with the task requirements such as radar detection probability, tracking accuracy, and recognition rate, forms feedback information and sends it to the policy adjustment center for radar parameter adjustment in the next stage. The feedback information mainly includes environmental information, signal-to-noise ratio of the detected target, tracking point trajectory, target characteristics, etc. At the same time, the feedback information will also be used for the update of prior knowledge such as environmental characteristics and target characteristics; Step 5.2) The effect evaluation center outputs the information evaluation results, mainly including target detection results, point trajectory tracking results, target characteristics, and recognition results.

[0068] The labels of the above steps are only used for clear description of the technical solution of the present invention, and their sequence numbers are not limited.

[0069] The above description is only a specific example of the radar cooperative detection and recognition of the present invention, and does not constitute any limitation to the present invention. The present invention is also applicable to various RF functions such as interference, reconnaissance, communication, navigation, and recognition. Obviously, for professionals in the field, after understanding the content and principle of the present invention, various modifications and changes in form and details may be made without departing from the principle and structure of the present invention. However, these corrections and changes based on the idea of the present invention are still within the scope of protection of the claims of the present invention.

[0070] This embodiment adopts a number of advanced technologies such as intelligent skin, integration, intelligence, distribution, photonics, and software to enhance the capabilities of the existing airborne integrated RF system. Through the PDCA task cycle structure, the versatility, reconfigurability, and scalability of the airborne integrated RF system are further improved. It solves the problem that the current airborne integrated RF system cannot adapt to the modern distributed combat system and cannot achieve unified resource scheduling and allocation when facing various RF function requirements such as detection, interference, reconnaissance, communication, navigation, and identification, and further reduces the complexity and development cost of the airborne integrated RF system.

[0071] In summary, in the embodiments of the present invention, the intelligent skin technology is adopted to achieve ultra-thin, conformal, and opportunistic arraying of the RF front-end and the pre-signal processing end. At the same time, the integrated pre-signal processing end can realize intelligent control of multi-functional RF in combination with adjustment strategies. The microwave photonics technology is used in the RF channel to achieve ultra-wideband and high-quality transceiver. The integration technology is used at the signal processing end to integrate various RF functions such as detection, interference, reconnaissance, communication, navigation, and identification. The intelligent technology is used at the information processing end to achieve AI processing based on task-driven and environment perception. The software technology is used to achieve more flexible function development. Edge computing and cloud computing technologies are used in multi-platform task collaboration to achieve multi-platform collaborative detection, interference, reconnaissance, communication, navigation, identification, and other RF tasks, further reducing the complexity and development cost of the airborne integrated RF system, enabling the airborne integrated RF system to adapt to the modern distributed combat system, and performing unified resource scheduling and allocation when facing various RF function requirements such as detection, interference, reconnaissance, communication, navigation, and identification, thereby effectively improving the versatility, reconfigurability, and scalability of the airborne integrated RF system.

[0072] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they know the basic creative concept. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0073] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A novel airborne integrated radio frequency system architecture, characterized in that: It includes POP input module, strategy adjustment center module, front signal processing center module, information processing center module, and effect evaluation center module, among which: The POP input module is used to perform task planning according to the RF task content input by the user, obtain task requirements, and send the task requirements to the effect evaluation center module, wherein the RF task content includes detection, interference, reconnaissance, communication, navigation, and identification; The strategy adjustment center module is used to receive feedback information sent by the effect evaluation center module, obtain waveform generation parameters, signal reception parameters, pre-sampling storage parameters, pre-calculation parameters, data storage parameters and processing algorithms according to target characteristics, environmental characteristics and the feedback information, send the pre-sampling storage parameters and the pre-calculation parameters to the pre-signal processing center module, and send the data storage parameters and processing algorithms to the information processing center module; The pre-signal processing center module is used to receive the pre-sampling storage parameters and the pre-calculation parameters sent by the policy adjustment center module, integrate the RF front end, process the RF signal according to the pre-sampling storage parameters to obtain a signal acquisition result, perform pre-sampling storage and pre-calculation according to the signal acquisition result, the pre-sampling storage parameters and the pre-calculation parameters, obtain a pre-calculation result, and send the pre-calculation result to the information processing center module; The information processing center module is used to receive the data storage parameters and the processing algorithm sent by the policy adjustment center module, receive the pre-calculation result sent by the pre-signal processing center module, perform network storage on the pre-calculation result according to the data storage parameters, perform network calculation on the pre-calculation result according to the processing algorithm, obtain the information processing result, and send the information processing result to the effect evaluation center module; The effect evaluation center module is used to receive the task requirements sent by the POP input module and the information processing results sent by the information processing center module, compare and analyze the task requirements and the information processing results, obtain feedback information and information evaluation results, and send the feedback information to the strategy adjustment center module.

2. The system architecture according to claim 1, characterized in that: The strategy adjustment center module includes a radio frequency front-end parameter determination module, a front signal processing parameter determination module and an information processing parameter determination module, wherein: The RF front-end parameter determination module is used to receive feedback information sent by the effect evaluation center module, compare the feedback information with the target feature library and the environmental feature library to obtain a matching result, select parameters corresponding to the matching result in the pattern library and the waveform library, obtain waveform generation parameters and signal reception parameters by using an intelligent selection method, and send the waveform generation parameters and the signal reception parameters to the front-end signal processing parameter determination module; The pre-signal processing parameter determination module is used to receive the feedback information sent by the effect evaluation center module, receive the waveform generation parameters and the signal reception parameters sent by the RF front-end parameter determination module, and obtain the pre-sampling storage parameters and the pre-calculation parameters by using an intelligent algorithm according to the target characteristics, environmental characteristics, the feedback information, the waveform generation parameters and the signal reception parameters, and send the pre-sampling storage parameters and the pre-calculation parameters to the pre-signal processing center module; The information processing parameter determination module is used to receive feedback information sent by the effect evaluation center module, obtain data storage parameters and processing algorithms based on target characteristics, environmental characteristics and the feedback information, and send the data storage parameters and processing algorithms to the information processing center module.

3. The system architecture according to claim 1, characterized in that: The effect evaluation center module is also used to receive collaborative task instructions sent by other platforms in a radio frequency communication manner, obtain collaborative feedback information according to the collaborative task instructions, and send the collaborative feedback information to the strategy adjustment center module, wherein the collaborative feedback information includes collaborative task requirements and collaborative methods; The strategy adjustment center module is also used to receive the collaborative feedback information sent by the effect evaluation center module, and obtain waveform generation parameters, signal reception parameters, pre-sampling storage parameters, pre-calculation parameters, data storage parameters and processing algorithms according to target characteristics, environmental characteristics and the collaborative feedback information, and send the pre-sampling storage parameters and the pre-calculation parameters to the pre-signal processing center module, and send the data storage parameters and processing algorithms to the information processing center module.

4. The system architecture according to claim 3, characterized in that: The strategy adjustment center module is also used to perform system synchronization and set the required sending and receiving timing according to the collaborative feedback information.

5. The system architecture according to claim 1, characterized in that: The front signal processing center module integrates the RF front end in an ultra-thin conformal manner through an intelligent skin, including a packaging functional layer, a RF functional layer and a signal processing functional layer. The packaging functional layer includes a supporting medium and a heat-insulating insulating medium. The RF functional layer includes a high-density transceiver antenna, a TR component, a flexible temperature control layer and a feed layer. The signal processing functional layer includes a wave control circuit, a power management layer and a multi-core processing layer, wherein: The strategy adjustment center module is also used to send the waveform generation parameters and the signal reception parameters to the waveform control circuit; The wave control circuit is used to receive the waveform generation parameters and the signal reception parameters sent by the strategy adjustment center module, and control the transmission and reception of the radio frequency signal by the radio frequency front end according to the waveform generation parameters and the signal reception parameters; The RF functional layer is used for receiving and transmitting RF signals, generating and receiving RF signals through the microwave-photon integrated front-end RF channel, and performing modulation and demodulation; The many-core processing layer is used to receive the pre-sampling storage parameters and the pre-calculation parameters sent by the policy adjustment center module, process the radio frequency signal according to the pre-sampling storage parameters to obtain a signal acquisition result, perform pre-calculation according to the signal acquisition result, the pre-sampling storage parameters and the pre-calculation parameters to obtain a pre-calculation result, and send the pre-calculation result to the information processing center module.

6. The system architecture according to claim 5, characterized in that: The many-core processing layer is specifically used to receive the pre-sampling storage parameter and the pre-calculation parameter sent by the policy adjustment center module, sample and store the radio frequency signal according to the pre-sampling storage parameter and the pre-calculation parameter, and perform unified serial processing on the signal sampling result by the field programmable gate array to obtain the pre-calculation result, and send the pre-calculation result to the information processing center module; The unified serial processing includes pre-filtering processing, pulse compression processing, and matched filtering processing.

7. The system architecture according to claim 1, characterized in that: The information processing center module includes a network storage module and a network computing module, wherein: The network storage module is used to receive the data storage parameters sent by the policy adjustment center module, receive the pre-calculation results sent by the pre-signal processing center module, and perform network storage on the pre-calculation results according to the data storage parameters; The network calculation module is used to receive the processing algorithm sent by the policy adjustment center module, read the pre-calculation result in the network storage module, and perform network calculation on the pre-calculation result according to the processing algorithm using a digital signal processor, a graphics processor, and a neural network processor to obtain an information processing result; The strategy adjustment center module is also used to receive feedback information sent by the effect evaluation center module, obtain updated task requirements based on target characteristics, environmental characteristics and the feedback information, reselect the algorithm corresponding to the task requirements in the algorithm library, obtain the processing algorithm, and send the processing algorithm to the network computing module. The algorithms in the algorithm library include pre-trained computing networks.

8. The system architecture according to claim 1, characterized in that: The feedback information includes environmental feedback information, interference source feedback information, detection target signal-to-noise ratio feedback information, tracking point track feedback information, and target characteristic feedback information.

9. The system architecture according to claim 1, characterized in that: The information evaluation results include communication information, navigation results, target detection results, point track tracking results, target characteristics and identification results.

10. A method for controlling the system architecture according to any one of claims 1 to 9, characterized in that: include: The POP input module performs task planning according to the RF task content input by the user, obtains the task requirements, and sends the task requirements to the effect evaluation center; The strategy adjustment center module receives the feedback information sent by the effect evaluation center module, obtains waveform generation parameters, signal reception parameters, pre-sampling storage parameters, pre-calculation parameters, data storage parameters and processing algorithms according to target characteristics, environmental characteristics and the feedback information, sends the pre-sampling storage parameters and the pre-calculation parameters to the pre-signal processing center module, and sends the data storage parameters and processing algorithms to the information processing center module; The pre-signal processing center module receives the pre-sampling storage parameter and the pre-calculation parameter sent by the policy adjustment center module, integrates the RF front end, processes the RF signal according to the pre-sampling storage parameter to obtain a signal acquisition result, performs pre-sampling storage and pre-calculation according to the signal acquisition result, the pre-sampling storage parameter and the pre-calculation parameter to obtain a pre-calculation result, and sends the pre-calculation result to the information processing center module; The information processing center module receives the data storage parameters and the processing algorithm sent by the policy adjustment center module, receives the pre-calculation result sent by the pre-signal processing center module, performs network storage on the pre-calculation result according to the data storage parameters, performs network calculation on the pre-calculation result according to the processing algorithm, obtains the information processing result, and sends the information processing result to the effect evaluation center module; The effect evaluation center module receives the task requirements sent by the POP input module and the information processing results sent by the information processing center module, compares and analyzes the task requirements and the information processing results, obtains feedback information and information evaluation results, and sends the feedback information to the strategy adjustment center module.

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