Rocket communication high reliability transmission method and system

Abstract

The application relates to the field of aerospace technology and discloses a rocket communication high-reliability transmission method and system, which constructs a transmission time sequence state vector based on to-be-transmitted service data, link state data, environmental disturbance data and historical fault sample data, combines an IEEE 802.1CB frame replication and elimination mechanism, performs link health prediction, common cause interference decoupling, redundant replication scheduling, damaged frame repair, repeated elimination and feedback update processing, and realizes dynamic adjustment of a replication path and a replication quantity. The scheme can improve the reliability, orderliness and fault self-healing capability of key data transmission under the extreme environment of a rocket, and solves the problems of insufficient link-related failure identification, insufficient damaged frame recovery capability and insufficient adaptive optimization capability of subsequent transmission strategies of a multi-path redundant transmission scheme in the prior art under the extreme environment of a rocket.

Description

Technical Field

[0001] This invention relates to the field of aerospace communication technology, and in particular to a high-reliability transmission method and system for rocket communication. Background Technology

[0002] During the launch, flight, on-orbit, and reentry phases of a rocket mission, critical information such as telemetry data, control commands, image data, and status diagnostic data needs to be continuously transmitted. This type of data is typically characterized by high timeliness, high reliability requirements, and low error tolerance. In particular, the transmission quality of data such as ignition control commands, attitude adjustment commands, propellant status parameters, and fault handling commands directly affects the safety and success rate of the rocket mission.

[0003] Unlike conventional ground-based communication scenarios, rocket communication links operate in an extreme environment characterized by strong vibrations, high temperature gradients, high radiation, highly dynamic attitude changes, and complex electromagnetic disturbances. It's important to note that rockets may face significantly increased vibrations during launch, heat flux and impact coupling during stage separation, high-radiation cumulative interference during on-orbit operation, and a unique environment during reentry involving both high reentry temperatures and sudden attitude changes. Therefore, traditional redundant communication mechanisms designed for low-speed ground movement or general industrial environments are often unsuitable for the short-duration, highly reliable, real-time, and rapidly self-healing transmission requirements of rocket scenarios.

[0004] While existing multi-path redundancy transmission schemes can improve transmission success rates to some extent by replicating frames, most schemes treat multiple links as independent transmission channels, typically prioritizing path ordering and redundancy configuration based on single metrics such as link utilization, average latency, or bit error rate. While this approach may be effective in ordinary scenarios, in rocket communication scenarios, multiple physically adjacent links, those with similar environments, or those historically sharing common failure characteristics are often synchronously affected by the same type of environmental disturbances. In such cases, if replication scheduling is still based on the premise that the links are independent, the risk of simultaneous degradation or even simultaneous failure of multiple links will be underestimated, leading to distorted path selection results.

[0005] Furthermore, traditional link status detection methods mostly rely on fixed thresholds for alarm judgment, lacking the ability to predict the timing of link health status and making it difficult to provide early warnings and complete preventative strategy switching before the link actually fails. Meanwhile, existing receiver frame elimination mechanisms often only filter duplicate frames based on sequence numbers or simple link quality indicators. For situations such as missing local fields, partially damaged frames, amplified cross-path delay jitter, and simultaneous damage to multiple duplicate frames under high-error-rate environments, they lack further data repair and correlation judgment capabilities, thus failing to simultaneously achieve the dual goals of high-reliability recovery and low-latency delivery. Additionally, during the transmission of critical rocket control commands, if there is a lack of feedback and update processes combining environmental status, path status, and delivery results, the redundant copy quantity configuration, path selection strategy on the sending side, and the repair strategy on the receiving side can only rely on static rules, making it difficult to continuously adapt to the link distribution drift and environmental distribution drift caused by rocket flight phase transitions.

[0006] In existing Ethernet high-reliability transmission technologies, IEEE 802.1CB proposes the FRER (Frame Replication and Elimination for Reliability) mechanism. Its core lies in identifying service flows, performing redundant copy transmission of data frames, and identifying and eliminating duplicate frames at the receiving side or relay nodes to improve data delivery reliability under fault conditions. IEEE 802.1CB also specifies processes, management objects, and protocols related to redundant transmission for bridging devices and end systems, thus serving as the technical basis for the transmitting-side copying, receiving-side elimination, and sequence identification processing of this invention. However, existing IEEE 802.1CB mechanisms mainly address redundant reliable transmission problems in general networks. They still lack targeted adaptive enhancement processing for problems in rocket communication scenarios, such as multi-link common-cause interference caused by strong vibration, thermal shock, and high radiation, rapid link health degradation, and intelligent repair of damaged frames.

[0007] Therefore, how to provide a highly reliable transmission scheme that can simultaneously achieve environmental awareness, link health prediction, common-cause interference decoupling, redundant replication scheduling, damaged frame repair, duplication elimination, and feedback updates in the extreme communication environment of rockets, thereby solving the problem that traditional methods are difficult to accurately configure redundancy strategies and difficult to stably recover effective data in multi-link related failure scenarios, has become an urgent technical problem to be solved in this field. Summary of the Invention

[0008] This invention provides a high-reliability transmission method and system for rocket communication, which at least solves the problems of insufficient identification of link-related failures, insufficient recovery capability of damaged frames, and insufficient adaptive optimization capability of subsequent transmission strategies in the existing multi-path redundant transmission scheme under extreme rocket environments.

[0009] To achieve the above objectives, the present invention provides a high-reliability transmission method for rocket communication, comprising the following steps:

[0010] Acquire the service data frames to be transmitted, link status data, environmental disturbance data, and historical fault sample data, and construct a transmission timing state vector;

[0011] Based on the transmission timing state vector, link health prediction processing and common cause interference decoupling processing are performed to generate link-independent risk values ​​for each candidate link and a correlation risk matrix between candidate paths.

[0012] Based on the link-independent risk value, the relevant risk matrix, and the service priority corresponding to the service data frame to be transmitted, a redundancy replication quantity configuration and a target transmission path set are generated. The service data frame to be transmitted is then replicated and encapsulated based on the redundancy replication quantity configuration to form multiple replicated data frames carrying frame identifier data.

[0013] The replicated data frames received through each target transmission path are subjected to integrity verification, missing field repair, deduplication and sequence rearrangement to output the target service data frames.

[0014] Based on the delivery result of the target service data frame, the link status data, and the environmental disturbance data, a feedback update process is performed to update the link health prediction parameters, related risk matrices, and redundant replication quantity configuration for subsequent transmission cycles.

[0015] Furthermore, to achieve the above objectives, the present invention also provides a high-reliability rocket communication transmission system, comprising:

[0016] The state construction module is used to acquire the service data frames to be transmitted, link status data, environmental disturbance data, and historical fault sample data to construct a transmission time sequence state vector.

[0017] The risk decoupling module is used to perform link health prediction processing and common cause interference decoupling processing based on the transmission timing state vector, so as to generate link-independent risk values ​​for each candidate link and the correlation risk matrix between candidate paths.

[0018] The replication scheduling module is used to generate a redundancy replication quantity configuration and a target transmission path set based on the link-independent risk value, the relevant risk matrix and the service priority corresponding to the service data frame to be transmitted, and to replicate and encapsulate the service data frame to be transmitted based on the redundancy replication quantity configuration to form multiple replicated data frames carrying frame identification data.

[0019] The receive recovery module is used to perform integrity verification, missing field repair, deduplication and sequence rearrangement processing on the copied data frames received through each target transmission path, so as to output the target service data frame.

[0020] The feedback optimization module is used to perform feedback update processing based on the delivery result of the target service data frame, the link status data, and the environmental disturbance data, so as to update the link health prediction parameters, related risk matrix, and redundant replication quantity configuration for subsequent transmission cycles.

[0021] The beneficial effects of this invention are as follows:

[0022] First, this invention unifies the modeling of business data, link status, environmental disturbances, and historical fault samples to form a transmission time sequence state vector, which provides a unified data foundation for subsequent processing steps and improves the comprehensive characterization capability of the rocket's multi-source complex state.

[0023] Second, by introducing common-cause interference decoupling processing on the basis of link health prediction, this invention extends the traditional single-link independent risk assessment into a joint assessment method of link-independent risk value and related risk matrix. This can provide more reasonable path selection results and redundant replication configuration for multi-link common-cause interference scenarios, thereby improving transmission reliability in extreme environments.

[0024] Third, by introducing a timing graph repair model at the receiving end, the present invention performs missing field completion on locally damaged copy frames, and then combines multi-factor frame optimization scores to eliminate duplication and rearrange sequences, enabling the system to stably recover target service data frames even in scenarios with high bit error rate, strong jitter, and missing local fields, thereby improving the effective recovery rate at the receiving side.

[0025] Fourth, this invention feeds back the submission results, link status data, and environmental disturbance data to the link health prediction model and the time sequence diagram repair model to form an adaptive update mechanism. This enables the path selection, replication configuration, and repair strategy in subsequent transmission cycles to be continuously optimized as the flight phase changes, thereby improving the long-term stability and scenario adaptability of the system.

[0026] Fifth, the method steps of this invention remain transparent to the upper-layer business parsing logic, making it applicable not only to the transmission of critical control commands but also to the transmission of telemetry data and image data, ensuring high reliability while also taking into account low-latency delivery and engineering feasibility. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating the high-reliability transmission method for rocket communication according to an embodiment of the present invention.

[0028] Figure 2This is a schematic diagram of the operational architecture of a rocket communication high-reliability transmission system according to an embodiment of the present invention. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0030] This invention provides a high-reliability transmission method for rocket communication, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the high-reliability transmission method for rocket communication according to an embodiment of the present invention.

[0031] In this embodiment, a high-reliability transmission method for rocket communication includes the following steps:

[0032] S1: Obtain the data frames to be transmitted, link status data, environmental disturbance data, and historical fault sample data to construct a transmission timing state vector.

[0033] Specifically, the service priority, frame length, delay tolerance, and integrity level corresponding to the service data frame to be transmitted are extracted to form a service feature sub-vector; the bit error rate, round-trip time, jitter, instantaneous throughput, and most recent fault interval corresponding to each candidate link are extracted to form a link feature sub-vector; the vibration intensity, temperature gradient, radiation dose rate, and attitude change rate corresponding to the current flight phase of the rocket are extracted to form an environmental feature sub-vector; the service feature sub-vector, the link feature sub-vector, the environmental feature sub-vector, and the historical fault sample data adjacent to the current time are time-aligned and normalized and spliced ​​together to generate a transmission timing state vector.

[0034] Furthermore, when generating the transmission timing state vector, the service feature sub-vector, the link feature sub-vector, the environment feature sub-vector, and the historical fault sample data are resampled according to a unified sampling period to obtain the original state quantities under the same time index; the original state quantities are normalized to obtain normalized state components, and the normalized state components are concatenated according to a preset order of service features, link features, environment features, and historical fault sample features to form a temporally arranged candidate state matrix; based on the candidate state matrix, the state slice corresponding to the current transmission period is extracted to generate the transmission timing state vector.

[0035] In this embodiment of the invention, step S10 is used to establish a unified data foundation upon which subsequent link health prediction, common-cause interference decoupling, and redundant replication scheduling depend. It should be noted that in rocket communication scenarios, the service data frames to be transmitted are not limited to any one of ignition control commands, attitude adjustment commands, propellant pressure telemetry data, or onboard image data. Any data object that requires highly reliable delivery during rocket flight can be used as the service data frame to be transmitted in this invention.

[0036] Specifically, step S1 may further include the following steps:

[0037] Step S101: Extract the service priority, frame length, delay tolerance and integrity level corresponding to the service data frame to be transmitted, and form a service feature sub-vector.

[0038] In this embodiment of the invention, the purpose of step S101 is to transform the service data frame to be transmitted from a raw byte-level object into a service attribute representation result that can be directly processed by subsequent models. It should be noted that different types of rocket service data have fundamental differences in their transmission objectives. For example, critical control commands often focus more on latency tolerance and integrity levels, while large-size image data focuses more on throughput and continuity. Therefore, in one executable implementation, the service data frame can be parsed first to extract data attribute fields that reflect transmission requirements.

[0039] In practical applications, service priority can be set as the amount of data representing the importance of the frame in the current task phase; frame length can be set as the amount of data representing the bandwidth requirement of the frame; latency tolerance can be set as the amount of data representing the maximum allowed delivery time; and integrity level can be set as the amount of data representing the frame's tolerance to errors, missing data, and tampering. Furthermore, in one implementation, service priorities can be hierarchically mapped, for example, mapping emergency control classes, important telemetry classes, and ordinary service classes to different level parameters, so that they can be directly called when configuring the replication quantity later.

[0040] Step S102: Extract the bit error rate, round-trip time, jitter, instantaneous throughput and most recent fault interval for each candidate link to form a link feature sub-vector.

[0041] In this embodiment of the invention, step S102 is used to form a quantitative characterization result of the current availability status of the candidate links. It should be noted that in a rocket communication system, the candidate links can be wired bus links, wireless radio frequency links, optical communication links, or other types of redundant communication links, and the present invention does not limit them; as long as they can provide candidate transmission channels for the service data frames to be transmitted, they can be included in the link feature modeling process.

[0042] In practical applications, the bit error rate (BER), round-trip time (RTD), jitter, instantaneous throughput, and most recent fault interval (NFR) of each candidate link can be obtained separately. Here, BER characterizes the current bit error level of the link, RTD characterizes the link's latency baseline, jitter characterizes the intensity of latency fluctuations, instantaneous throughput characterizes the link's real-time load-bearing capacity, and NFR characterizes the stable duration of the link after its most recent anomaly. It should be noted that these features are not used in isolation, but rather as a multi-dimensional state description of the same link at the same time, providing joint input for subsequent link health prediction.

[0043] Step S103: Extract the vibration intensity, temperature gradient, radiation dose rate and attitude change rate corresponding to the current flight phase of the rocket to form an environmental feature sub-vector.

[0044] In this embodiment of the invention, step S103 is used to incorporate the external environmental state of the rocket into the communication strategy decision-making process. Traditional communication systems focus more on the parameters of the link itself, while ignoring the causal relationship between the environment in which the link is located and link degradation; however, this invention believes that in the rocket scenario, the environmental state is an important cause of synchronous degradation and synchronization anomalies of multiple links, and therefore it must be explicitly introduced into the model.

[0045] Specifically, vibration intensity can be used as data reflecting the current structural vibration level, temperature gradient as data reflecting the degree of thermal field abrupt change, radiation dose rate as data reflecting the intensity of high-energy radiation interference, and attitude change rate as data reflecting the degree of dynamic change in flight attitude. Furthermore, in one executable implementation, these environmental parameters can also be stored together with the current flight phase identifier, such as launch phase, transonic phase, on-orbit phase, and reentry phase, to facilitate the formation of a more scene-recognition-capable environmental summary in the policy cache later.

[0046] Step S104: Time-align and normalize the service feature sub-vector, link feature sub-vector, environmental feature sub-vector, and historical fault sample data and concatenate them to generate a transmission timing state vector.

[0047] In this embodiment of the invention, step S104 is used to uniformly map the aforementioned multi-source heterogeneous data to the same temporal state space. Since business data, link data, and environmental data typically have different sources, sampling periods, and units, directly feeding them into subsequent models can easily lead to imbalanced feature weights and disordered temporal correspondences. Therefore, in this step, the invention first performs unified sampling and realignment, and then performs normalization and concatenation processing.

[0048] In practical applications, the business feature sub-vectors, link feature sub-vectors, environmental feature sub-vectors, and historical fault sample data can be resampled according to a unified sampling period to obtain the original state quantities under the same time index; then, the original state quantities are normalized.

[0049] Furthermore, in one feasible implementation, the normalized service characteristics, link characteristics, environmental characteristics, and historical fault sample characteristics can be concatenated into a candidate state matrix in a preset order. Then, a state slice corresponding to the current transmission cycle is extracted from this matrix to form a transmission time-series state vector. It should be noted that the historical fault sample data is not simply added redundantly here, but rather serves as a historical reference adjacent to the current state, thereby improving the ability to identify potential failure trends.

[0050] S2: Based on the transmission timing state vector, perform link health prediction processing and common cause interference decoupling processing to generate link-independent risk values ​​for each candidate link and a correlation risk matrix between candidate paths.

[0051] Specifically, the transmission timing state vector is input into the link health prediction model to output the failure probability and degradation rate of each candidate link within a preset look-ahead window; based on the environmental feature similarity, spatial adjacency, and historical co-failure count of each candidate link, the common-cause interference coupling coefficient between each candidate link is calculated; based on the failure probability, the degradation rate, and the common-cause interference coupling coefficient, the candidate link set is decoupled to generate the link-independent risk value of each candidate link and the correlation risk matrix between candidate paths; the link-independent risk value and the correlation risk matrix are used as input data for subsequent generation of redundant replication quantity configuration and target transmission path set.

[0052] Furthermore, by pairing candidate links in pairs, the environmental characteristic distance, spatial interval distance, and historical co-failure frequency between any two candidate links are calculated; the common-cause interference coupling coefficient between candidate link i and candidate link j is calculated, and the degree of correlation of synchronous failure between links is sorted based on the common-cause interference coupling coefficient matrix; the sorting result is jointly mapped with the failure probability and the degradation rate to output the relevant risk matrix.

[0053] In this embodiment of the invention, step S2 aims to address the problem that traditional multi-path redundancy schemes, which rely solely on single-link metrics for decision-making, cannot handle multi-link related failures. It should be noted that in ordinary terrestrial communication scenarios, links can often be approximated as independent; however, in rocket scenarios, multiple links may simultaneously degrade due to sharing the same structural section, experiencing similar heat flux impacts, or being subjected to the same radiation disturbances. Therefore, it is necessary to further identify the common-cause coupling relationships between links based on single-link health prediction.

[0054] Specifically, step S2 may further include the following steps:

[0055] Step S201: Input the transmission timing state vector into the link health prediction model to output the failure probability and degradation rate of each candidate link within a preset look-ahead window.

[0056] In this embodiment of the invention, the link health prediction model is used to predict the short-term future state of candidate links. It should be noted that the look-ahead window can be configured according to the actual task stage. For example, a shorter look-ahead window can be used during the critical control command transmission stage to improve response speed, while a moderately extended look-ahead window can be used during the continuous telemetry data transmission stage to improve prediction stability.

[0057] In one executable implementation, the transmission timing state vector obtained in step S1 can be input into a lightweight timing model to output the failure probability and degradation rate corresponding to each candidate link. The failure probability reflects the likelihood of an unacceptable transmission failure occurring within a preset window, and the degradation rate reflects the speed at which the link quality evolves from the current state to an abnormal state. It should be noted that the specific form of the link health prediction model does not constitute a limitation of the present invention, as long as it can output the future trend of each candidate link based on the timing input. For example, a lightweight cyclic model, a gated timing model, or other improved models suitable for real-time operation on the rocket can be used.

[0058] Step S202: Calculate the common interference coupling coefficient between each candidate link based on environmental feature similarity, spatial adjacency relationship and historical co-failure count.

[0059] In this embodiment of the invention, step S202 further determines which links may fail together. This determination is particularly critical in rocket scenarios, because when transonic vibrations are enhanced, interstage thermal shock occurs, or radiation surges occur, multiple physically similar and environmentally similar links are very likely to fail simultaneously.

[0060] In practical applications, specifically, candidate links can be paired up in pairs to calculate the environmental characteristic distance, spatial interval distance, and historical co-failure frequency between any two candidate links, and the common-cause interference coupling coefficient can be calculated based on the following formula:

[0061] ;

[0062] in, This represents the common-cause interference coupling coefficient between candidate link i and candidate link j, where the characters i and j represent the link numbers; This represents the environmental feature vector corresponding to candidate link i. This represents the environmental feature vector corresponding to candidate link j. This represents the L2 norm distance between two environmental feature vectors; This represents the spatial distance between candidate link i and candidate link j; α represents the normalized value of the co-failure frequency of candidate link i and candidate link j in historical failure sample data; α, β and γ represent the weight coefficients corresponding to different influencing factors; the character e represents the exponential base of the natural constant.

[0063] Furthermore, in one feasible implementation, a smaller environmental feature distance indicates that the environments of the two links are more similar; a smaller spatial interval distance indicates that the two links are more likely to be affected by local physical faults simultaneously; and a higher historical co-failure frequency indicates a higher prior probability that the two links are synchronously abnormal in historical data. Therefore, the co-cause interference coupling coefficient can effectively characterize the degree of risk correlation between links that are not independent.

[0064] Step S203: Based on the failure probability, degradation rate and common cause interference coupling coefficient, perform decoupling processing on the candidate link set to generate link-independent risk values ​​and related risk matrices.

[0065] In this embodiment of the invention, step S203 serves to combine the single-link health prediction result with the inter-link coupling relationship to obtain two types of results that can simultaneously reflect the risk of a single link itself and the combined risk of multiple links. Specifically, the link-independent risk value is used to characterize the degree of risk of a single link after removing combined related factors, and the correlation risk matrix is ​​used to characterize the degree of associated risk of any candidate path combination in terms of synchronous degradation.

[0066] Specifically, a basic risk description for a single link can be formed first using failure probability and degradation rate. Then, using the common-cause interference coupling coefficient matrix as a constraint, decoupling mapping is performed on the link set. It should be noted that decoupling here does not mean completely eliminating the real correlation between links, but rather distinguishing the risk components belonging to the link itself from the risk components originating from synchronization disturbances between links. This allows subsequent replication scheduling to determine whether a single path is suitable for selection, as well as whether multiple paths are suitable for combination.

[0067] Step S204: Use the link-independent risk value and the relevant risk matrix as input data for the subsequent generation of the redundancy replication quantity configuration and the target transmission path set.

[0068] In this embodiment of the invention, step S204 is used to transmit the link prediction analysis results to the actual replication scheduling strategy. It should be noted that if only link-independent risk values ​​are available without a related risk matrix, the system can only perform optimal route selection, not optimal route group selection; conversely, if only a related risk matrix is ​​available without link-independent risk values, the system will find it difficult to determine whether a single path is inherently in a high-risk state. Therefore, both need to be used together as input data for subsequent replication scheduling.

[0069] S3: Based on the link-independent risk value, the relevant risk matrix, and the service priority corresponding to the service data frame to be transmitted, generate a redundancy replication quantity configuration and a target transmission path set, and replicate and encapsulate the service data frame to be transmitted based on the redundancy replication quantity configuration to form multiple replicated data frames carrying frame identifier data.

[0070] Specifically, for the service data frame to be transmitted, the minimum number of replications that satisfy the delay and reliability constraints is calculated; a correlation penalty is applied to the candidate path combination based on the relevant risk matrix, and a risk-weighted score is applied to the candidate path combination based on the link-independent risk value to determine the target transmission path set; a redundant replication configuration is generated according to the correspondence between the minimum replication number and the target transmission path set, and a sequence number, path identifier, environment summary, and verification summary are written to each replicated data frame to form the replicated data frame carrying frame identifier data.

[0071] In this embodiment of the invention, step S3 is used to convert the aforementioned analysis results into actual transmission actions on the sending side. It should be noted that in rocket communication scenarios, a larger number of copies is not necessarily better; while increasing the number of copies can improve the probability of successful delivery, it also increases bandwidth usage, buffer load, and receiving-side processing costs. Therefore, a reasonable number of copies and path set needs to be determined based on service priority, link-independent risk value, and inter-path related risks.

[0072] Specifically, step S3 may further include the following steps:

[0073] Step S301: For the service data frame to be transmitted, calculate the minimum number of copies that satisfy the delay constraint and reliability constraint.

[0074] In practical applications, the minimum number of copies can be calculated based on the successful transmission probability of the candidate path and the end-to-end latency, using the following formula:

[0075] ;

[0076] Where M represents the minimum number of copies, m represents the number of candidate copies, and k represents the copy path number; This represents the probability of successful transmission of the k-th target transmission path within the current transmission period; This represents the threshold for business reliability constraints. This represents the end-to-end delay corresponding to the k-th target transmission path; ∏ represents the business latency constraint threshold; ∏ represents the multiplication operator.

[0077] It should be noted that the minimum number of copies is not a fixed constant, but is dynamically calculated based on changes in the current service type, flight phase, and link status. For example, for critical control commands with stricter latency tolerance, latency constraints can be prioritized before maximizing reliability; for telemetry services that allow for a certain level of latency, more independent path combinations can be selected while meeting basic latency requirements.

[0078] Step S302: Apply correlation penalty to candidate path combinations based on the relevant risk matrix, and apply risk weighted scoring to candidate path combinations based on link-independent risk values ​​to determine the target transmission path set.

[0079] In this embodiment of the invention, step S302 is used to truly realize the coordination of route selection and route grouping. It should be noted that in traditional methods, only the top few paths are selected after sorting by single-link quality. However, this invention adds a penalty mechanism at the combination level. That is, even if several paths have high single-link quality, if they exhibit strong coupling relationships in the relevant risk matrix, their combination score can still be reduced or they can even be excluded from the target path set.

[0080] Specifically, a correlation penalty value can be calculated for each candidate path combination first, then a risk-weighted score can be calculated by combining the independent risk values ​​of each link that makes up the combination, and finally, under the premise of meeting the minimum replication requirement, the path combination with the better comprehensive score is selected as the target transmission path set. Furthermore, in one executable implementation, when the rocket is in a stage of rapid increase in vibration or sudden change in radiation disturbance, the weight of the correlation penalty can be appropriately increased to avoid the system simultaneously selecting multiple potentially synchronous failure paths in a short period of time.

[0081] Step S303: Generate the redundant replication quantity configuration and perform replication encapsulation to form multiple replicated data frames carrying frame identifier data.

[0082] In this embodiment of the invention, step S303 is used to form a set of structured replicated frames that can be verified, repaired, and deduplicated at the subsequent receiving end. Specifically, a redundant replication configuration can be generated according to the correspondence between the minimum replication quantity and the target transmission path set, and the service data frames to be transmitted are replicated, with a sequence number, path identifier, environment summary, and verification summary written into each replicated data frame.

[0083] It should be noted that the sequence number is used to identify the association between different replica instances of the same original service data frame; the path identifier is used to identify the actual target path traversed by the replicated data frame; the environment digest is used to record the environmental level or environmental state characteristics corresponding to the generation of the replicated data frame, so that the receiving end can compare them during frame selection; and the verification digest is used to support subsequent integrity verification and data consistency verification. Furthermore, in one implementation, the environment digest may consist of flight phase identifier, vibration level, temperature level, and radiation level, and the verification digest may consist of the verification result or hash fragment of the original service data frame, but it is not limited to any specific implementation.

[0084] In this embodiment of the invention, the replication and encapsulation process may also refer to the sequence coding concept of IEEE 802.1CB, writing an incremental sequence number under a unified stream identifier to multiple replication instances of the same original service data frame, and maintaining the consistency of the sequence number on each target transmission path. Further, the path identifier can be used to distinguish the physical links or logical paths traversed by different redundant transmission replicas, and the combination of the sequence number and the path identifier is used by the receiving side to perform duplicate frame determination, out-of-order recovery, and residual frame removal processing on abnormal paths.

[0085] S4: Perform integrity verification, missing field repair, deduplication and sequence rearrangement on the copied data frames received through each target transmission path to output the target service data frames.

[0086] Specifically, cyclic verification, timing consistency verification, and verification digest comparison are performed on the replicated data frames received through each target transmission path to filter out a set of candidate valid frames. Based on the field differences, environmental digests, and link-independent risk values ​​between adjacent sequence number frames in the candidate valid frame set, a missing field repair input matrix is ​​constructed. The missing field repair input matrix is ​​input into the timing graph repair model to output the missing field estimation result, and the field completion of the damaged replicated data frame is completed based on the missing field estimation result. After the field completion is completed, duplication elimination and sequence rearrangement processing are performed on the replicated data frame to output the target service data frame.

[0087] Furthermore, when outputting the target service data frame, the duplicate data frames are clustered according to the same sequence number to form multiple duplicate frame candidate sets; for each duplicate frame candidate set, a frame selection score is calculated based on the link-independent risk value, field completion confidence, reception delay, and environmental digest consistency; the duplicate data frame with the highest frame selection score is retained as the target retained frame, the remaining duplicate duplicate data frames are removed, and the target service data frame after sequence rearrangement is output in ascending order of the sequence number of the target retained frame.

[0088] In this embodiment of the invention, step S4 is used to achieve effective recovery and unified delivery of multiple copied frames at the receiving end. It should be noted that in high-error-rate scenarios for rockets, the copied frames arriving at the receiving end may not always be complete, correct, and ordered. Common situations include missing fields, partial field corruption, multiple copied frames arriving out of order, and multiple copied frames passing verification simultaneously but with different qualities. Therefore, simple sequence number deduplication alone is insufficient to meet the requirements of high-reliability transmission.

[0089] Specifically, step S4 may further include the following steps:

[0090] Step S401: Perform cyclic verification, timing consistency verification, and verification digest comparison on the received copied data frames to filter out a set of candidate valid frames.

[0091] In this embodiment of the invention, step S401 serves to first remove obviously unusable data frames, and then narrow down the scope of processing objects for subsequent repair and optimization. Specifically, duplicate frames with obvious bit errors can be identified first through cyclic verification, then duplicate frames with abnormal sequence numbers, abnormal time relationships, or abnormal frame header / tail relationships can be identified through temporal consistency verification, and finally duplicate frames with inconsistent content digests can be filtered out through verification digest comparison, thereby obtaining a set of candidate valid frames.

[0092] It should be noted that the candidate valid frame set does not mean that all of its duplicate frames are ultimately data frames that can be directly submitted, but rather that these duplicate frames at least meet the prerequisites for further repair and optimization processing.

[0093] In one feasible implementation, the receiver can refer to the sequence recovery processing concept of IEEE 802.1CB to maintain corresponding sequence recovery status information and duplicate frame determination buffer windows for each service flow. For duplicate data frames with the same flow identifier and sequence number, the receiver first identifies valid candidate frames based on the verification digest and integrity check results, and then combines the link-independent risk value, field completion confidence, and reception delay to complete duplicate frame elimination and unique frame retention. For duplicate frames with abnormal sequence numbers that exceed the current recovery window range, they can be marked as delayed residual frames or abnormal retransmission frames to prevent old path residual frames from interfering with the orderly recovery of the current service flow during fault handover.

[0094] Step S402: Based on the field differences, environment summary, and link-independent risk values ​​between adjacent sequence number frames in the candidate valid frame set, construct the missing field repair input matrix.

[0095] In this embodiment of the invention, step S402 is used to provide structured input for subsequent missing field estimation. Specifically, for each damaged copy frame in the candidate valid frame set, the field differences between it and the adjacent sequence number copy frames can be collected, and combined with the environmental summary carried by the damaged copy frame itself and the link-independent risk value corresponding to its path, a repair input matrix for inputting into the time series graph repair model can be constructed.

[0096] It should be noted that there is often a certain temporal continuity between adjacent sequence number frames, especially for telemetry parameters or continuous control status data. The adjacent frames can provide strong contextual constraints for the damaged frames in the middle. The environment summary and link-independent risk value can help the model determine whether the current missing data is more likely caused by random bit errors or by systematic damage in a high-risk environment, thereby improving the credibility of the repair results.

[0097] Step S403: Input the missing field repair input matrix into the time series graph repair model to output the missing field estimation results and complete the field completion of the damaged replicated data frame.

[0098] In this embodiment of the invention, step S403 is used to achieve intelligent repair of damaged duplicate frames. It should be noted that the temporal graph repair model here can adopt an improved model that simultaneously models the state relationship between adjacent time points and the field relationship across frames, such as introducing a hybrid model of graph structure association and temporal association. However, this invention does not limit its specific network form, as long as it can output the estimation result of missing fields based on the input matrix.

[0099] In practical applications, the repair input matrix can be input into the time series graph repair model to obtain the missing field estimation results, and these results can be used to complete the missing or obviously abnormal fields in the damaged replicated data frames. In one executable implementation, the field completion confidence score can also be output simultaneously, which can be used in the subsequent duplicate frame selection stage to further determine the relative credibility between different replicated frames.

[0100] Step S404: Perform deduplication and sequence rearrangement processing on the copied data frame after field completion to output the target business data frame.

[0101] In this embodiment of the invention, step S404 is used to retain the optimal frame from multiple potentially available duplicate frames and deliver it to the upper-layer service in an ordered manner. Specifically, duplicate data frames can first be clustered according to the same sequence number to form multiple candidate sets of duplicate frames; then, for each candidate set of duplicate frames, a frame selection score is calculated based on the link-independent risk value, field completion confidence, reception delay, and environmental digest consistency. The frame selection score can be determined according to the following formula:

[0102] ;

[0103] in, This represents the frame preference score of the nth duplicate data frame, where the character n represents the frame number in the same set of duplicate frame candidates. This represents the link-independent risk value corresponding to the target transmission path carrying the nth replicated data frame; This indicates the confidence level of field completion for the nth copied data frame; This indicates the reception delay of the nth copied data frame; This represents the threshold for business latency constraints; Indicates the consistency score of the environmental summary; , , and This represents the weighting coefficient of each evaluation component.

[0104] Subsequently, the copy of the data frame with the highest priority score is selected as the target retained frame, and the remaining duplicate copies are removed. The frames are then rearranged in ascending order of their sequence numbers to output the target service data frame. It should be noted that this invention does not adopt the traditional simple principle of retaining the first arriving frame, but instead introduces a comprehensive scoring mechanism. This is because, in extreme rocket scenarios, the first arriving data frame is not necessarily the most complete, reliable, or suitable for delivery.

[0105] S5: Based on the delivery result of the target service data frame, the link status data, and the environmental disturbance data, perform feedback update processing to update the link health prediction parameters, related risk matrix, and redundant replication quantity configuration for subsequent transmission cycles.

[0106] Specifically, the following steps are taken: calculating the frame loss indicator, reordering delay indicator, repair success indicator, and deduplication elimination indicator for the current transmission cycle to form a transmission feedback indicator vector; updating the link health prediction model parameters and time series repair model parameters based on the error function between the transmission feedback indicator vector and the link status data and the environmental disturbance data; recalculating the correlation risk matrix between candidate paths based on the updated model parameters, and adjusting the redundant replication quantity configuration for subsequent transmission cycles when the correlation risk matrix meets preset fluctuation conditions; and writing the updated link health prediction parameters, correlation risk matrix, and redundant replication quantity configuration into the policy cache for use in the next transmission cycle.

[0107] In this embodiment of the invention, step S5 is used to establish a transmission mechanism for sensing, prediction, decoupling, scheduling, recovery, and feedback among the aforementioned steps. It should be noted that without a feedback update step, the system can only rely on a static model and static strategy, and cannot continuously adapt to the rapid changes in link and environmental distribution during rocket flight.

[0108] Specifically, step S5 may further include the following steps:

[0109] Step S501: Calculate the frame loss indicator, rearrangement delay indicator, repair success indicator, and deduplication elimination indicator for the current transmission cycle to form a transmission feedback indicator vector.

[0110] In this embodiment of the invention, step S501 is used to perform structured quantification of the results of the current transmission cycle. Specifically, the following can be counted: a frame loss indicator to represent the proportion of frames that were not successfully recovered in the current cycle; a rearrangement delay indicator to represent the time overhead experienced by the receiving side from the first frame to the completion of ordered output; a repair success indicator to represent the degree to which damaged duplicate frames are usable again after repair; and a duplication elimination indicator to represent the result of the receiving end completing effective filtering among multiple duplicate frames. Through the above data, a transmission feedback index vector can be formed, providing a direct basis for model updates.

[0111] Step S502: Update the link health prediction model parameters and time series diagram repair model parameters based on the error function between the transmission feedback index vector and the link status data and environmental disturbance data.

[0112] In practical applications, the following error function can be used to perform parameter updates:

[0113] ;

[0114] Where L represents the error function used in the feedback update process; This represents the error term between the indicated frame loss amount and the predicted frame loss amount. This represents the error term between the rearrangement delay indication and the predicted delay. This represents the error term between the indicated amount of successful repair and the predicted amount of repair. This represents the error term between the repetition elimination indication and the predicted repetition amount. , , and This represents the weighting coefficient of each error term.

[0115] It should be noted that the above error function is not only used for a single model, but can be applied to both the link health prediction model and the timing graph repair model, so that the predictive capability of the transmitting side and the recovery capability of the receiving side can be optimized together.

[0116] Step S503: Recalculate the relevant risk matrix based on the updated model parameters, and adjust the redundant replication quantity configuration for subsequent transmission cycles when the preset volatility conditions are met.

[0117] In this embodiment of the invention, step S503 is used to ensure that the strategy update not only remains at the level of internal model parameters, but also extends to the replication scheduling level of the next cycle. Specifically, the link-independent risk value of each candidate link and the correlation risk matrix between candidate paths can be recalculated based on the updated link health prediction parameters and environmental status data. When the correlation risk matrix shows that the synchronization degradation risk of certain link combinations exceeds a preset threshold, or the risk fluctuation between adjacent cycles exceeds a preset fluctuation condition, the redundant replication quantity configuration for subsequent transmission cycles can be adjusted upwards, downwards, or the paths can be reorganized.

[0118] Furthermore, in one feasible implementation, if the current transmission cycle has detected that the rocket is about to enter the transonic vibration enhancement stage, the system can reduce the probability of selecting highly coupled paths in the next cycle and increase the share of alternative paths that are physically farther away or have lower environmental similarity, thereby achieving preventive adjustment.

[0119] In this embodiment of the invention, the feedback update process can also be used to update the sequence recovery parameters, duplicate frame determination buffer depth, and path replication strategy parameters corresponding to IEEE 802.1CB FRER processing. Specifically, the recovery window length, buffer retention time, and replication threshold corresponding to different service flows can be dynamically adjusted based on the duplicate frame erroneous elimination situation, valid frame erroneous discard situation, sequence reordering delay, and the proportion of residual frames during fault handover in the current transmission cycle, thereby improving the stability of duplicate frame elimination and ordered recovery processing on the receiving side.

[0120] Step S504: Write the updated link health prediction parameters, related risk matrix, and redundant replication quantity configuration into the policy cache for use in the next transmission cycle.

[0121] In this embodiment of the invention, step S504 is used to implement cross-cycle policy continuation. It should be noted that the policy cache is not necessarily limited to a specific storage structure, as long as it can store the parameters, matrices, and configuration results required for subsequent transmission cycles. By writing the updated link health prediction parameters, relevant risk matrices, and redundant replication quantity configuration into the policy cache, the system can quickly read the optimization results of the previous cycle before the start of the next transmission cycle, thereby reducing redundant calculation overhead and improving real-time response capabilities.

[0122] The present invention will be further illustrated below with a specific scenario, but this example is only for the purpose of helping to understand the present invention and does not constitute a limitation on the scope of protection of the present invention.

[0123] In one specific implementation, after launch, the rocket enters the transonic flight phase, during which the local vibration intensity of the rocket body rapidly increases, the temperature gradient around the fairing significantly increases, and two adjacent wired links and one radio frequency link simultaneously show an increasing trend in bit error rate. If a traditional multi-path independent replication mechanism is used, the system may still select the above three links as the primary replication paths simultaneously, because the quality indicators of these three links are still within acceptable ranges. However, since these three links are spatially adjacent, have similar environmental characteristics, and have a high record of co-failures in historical samples, if the common-cause interference continues to increase, multiple replicated frames may be lost synchronously.

[0124] In this embodiment of the invention, the state construction step first constructs a transmission timing state vector by combining service characteristics, link characteristics, environmental characteristics, and historical fault samples. Subsequently, the risk decoupling step calculates the high common-cause interference coupling coefficient among the three links based on environmental feature similarity, spatial distance, and historical co-failure frequency, and increases the combined penalty value among the three links in the relevant risk matrix. Then, the replication scheduling step reduces the probability of the three links being selected simultaneously and introduces a candidate link with a more distant physical location and greater environmental feature difference as the replication path, thereby making the target transmission path set more independent when facing common-cause interference.

[0125] Furthermore, if a copy of a data frame at the receiving end has partial field missingness due to radiation flipping, the receiving recovery step will first form a set of candidate valid frames through cyclic verification, timing consistency verification, and verification digest comparison. Then, based on the field differences between adjacent sequence number frames, environmental digests, and link-independent risk values, a missing field repair input matrix is ​​constructed, and the timing graph repair model is called to complete the missing field completion. After completion, the system selects the optimal retained frame from multiple copy frames with the same sequence number according to the frame optimization score, completes the sequence rearrangement, and finally delivers the target service data frame to the upper layer application.

[0126] Finally, the feedback update step updates the parameters of the link health prediction model and the time sequence diagram repair model based on the frame loss, reordering delay, repair success rate, and duplication elimination effect during the current transmission cycle, and recalculates the relevant risk matrix and redundant replication configuration required for the next transmission cycle. Therefore, this invention can not only respond to current extreme environments but also continuously optimize subsequent transmission cycles.

[0127] In another feasible embodiment, such as Figure 2 As shown, a high-reliability rocket communication transmission system is also proposed, which includes:

[0128] The state construction module 10 is used to acquire the service data frame to be transmitted, link status data, environmental disturbance data, and historical fault sample data to construct a transmission timing state vector.

[0129] The risk decoupling module 20 is used to perform link health prediction processing and common cause interference decoupling processing based on the transmission timing state vector, so as to generate the link-independent risk value corresponding to each candidate link and the correlation risk matrix between candidate paths;

[0130] The replication scheduling module 30 is used to generate a redundancy replication quantity configuration and a target transmission path set based on the link-independent risk value, the relevant risk matrix and the service priority corresponding to the service data frame to be transmitted, and to replicate and encapsulate the service data frame to be transmitted based on the redundancy replication quantity configuration to form multiple replicated data frames carrying frame identification data.

[0131] The receiving recovery module 40 is used to perform integrity verification, missing field repair, duplication elimination and sequence rearrangement processing on the copied data frames received through each target transmission path, so as to output the target service data frames.

[0132] The feedback optimization module 50 is used to perform feedback update processing based on the submission result of the target service data frame, the link status data and the environmental disturbance data, so as to update the link health prediction parameters, related risk matrix and redundant replication quantity configuration corresponding to the subsequent transmission cycle.

[0133] Other embodiments or specific implementations of the rocket communication high-reliability transmission system of the present invention can be referred to the above-described method embodiments, and will not be repeated here.

[0134] It is understood that in the description of this specification, references to terms such as "one embodiment," "another embodiment," "other embodiments," or "first embodiment to Nth embodiment," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0135] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0136] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A high-reliability transmission method for rocket communication, characterized in that, Includes the following steps: Acquire the service data frames to be transmitted, link status data, environmental disturbance data, and historical fault sample data, and construct a transmission timing state vector; Based on the transmission timing state vector, link health prediction processing and common cause interference decoupling processing are performed to generate link-independent risk values ​​for each candidate link and a correlation risk matrix between candidate paths. Specifically, this includes: inputting the transmission timing state vector into a link health prediction model to output the failure probability and degradation rate of each candidate link within a preset look-ahead window; calculating the common-cause interference coupling coefficient between each candidate link based on the environmental feature similarity, spatial adjacency, and historical co-failure count corresponding to each candidate link; performing decoupling processing on the candidate link set based on the failure probability, the degradation rate, and the common-cause interference coupling coefficient to generate the link-independent risk value corresponding to each candidate link and the correlation risk matrix between candidate paths; and using the link-independent risk value and the correlation risk matrix as input data for subsequently generating the redundancy replication quantity configuration and the target transmission path set. Based on the link-independent risk value, the relevant risk matrix, and the service priority corresponding to the service data frame to be transmitted, a redundancy replication quantity configuration and a target transmission path set are generated. The service data frame to be transmitted is then replicated and encapsulated based on the redundancy replication quantity configuration to form multiple replicated data frames carrying frame identifier data. The replicated data frames received through each target transmission path are subjected to integrity verification, missing field repair, deduplication and sequence rearrangement to output the target service data frames. Based on the delivery result of the target service data frame, the link status data, and the environmental disturbance data, a feedback update process is performed to update the link health prediction parameters, related risk matrices, and redundant replication quantity configuration for subsequent transmission cycles.

2. The high-reliability transmission method for rocket communication as described in claim 1, characterized in that, Constructing the transmission timing state vector specifically includes: Extract the service priority, frame length, delay tolerance, and integrity level corresponding to the service data frame to be transmitted to form a service feature sub-vector; Extract the bit error rate, round-trip time, jitter, instantaneous throughput, and most recent fault interval for each candidate link to form a link feature sub-vector; Extract the vibration intensity, temperature gradient, radiation dose rate, and attitude change rate corresponding to the current flight phase of the rocket to form an environmental feature subvector; The service feature sub-vector, the link feature sub-vector, the environment feature sub-vector, and the historical fault sample data adjacent to the current time are time-aligned and normalized and then concatenated to generate a transmission timing state vector.

3. The high-reliability transmission method for rocket communication as described in claim 2, characterized in that, The service feature sub-vector, the link feature sub-vector, and the environmental feature sub-vector, along with historical fault sample data adjacent to the current time, are time-aligned and normalized and concatenated to generate a transmission time sequence state vector, specifically including: The business feature sub-vector, the link feature sub-vector, the environmental feature sub-vector, and the historical fault sample data are resampled according to a unified sampling period to obtain the original state quantities under the same time index. The original state variables are normalized to obtain normalized state components. The normalized state components are then concatenated in a preset order according to business characteristics, link characteristics, environmental characteristics, and historical fault sample characteristics to form a candidate state matrix arranged in time sequence. Based on the candidate state matrix, extract the state slice corresponding to the current transmission cycle to generate the transmission timing state vector.

4. The high-reliability transmission method for rocket communication as described in claim 1, characterized in that, Based on the environmental feature similarity, spatial adjacency, and historical co-failure count of each candidate link, the common-cause interference coupling coefficient between each candidate link is calculated, specifically including: Based on the pairing of candidate links, calculate the environmental feature distance, spatial interval distance, and historical co-failure frequency between any two candidate links; Calculate the common-cause interference coupling coefficient between candidate link i and candidate link j, and rank the degree of synchronization failure correlation between links based on the common-cause interference coupling coefficient matrix; The sorting results are jointly mapped with the failure probability and the degradation rate to output the relevant risk matrix.

5. The high-reliability transmission method for rocket communication as described in claim 1, characterized in that, Based on the link-independent risk value, the relevant risk matrix, and the service priority corresponding to the service data frame to be transmitted, a redundancy replication quantity configuration and a target transmission path set are generated. The service data frame to be transmitted is then replicated and encapsulated based on the redundancy replication quantity configuration to form multiple replicated data frames carrying frame identifier data, specifically including: For the data frame to be transmitted, calculate the minimum number of copies that satisfy the delay and reliability constraints; Based on the relevant risk matrix, a correlation penalty is applied to the candidate path combination, and a risk-weighted score is applied to the candidate path combination based on the link-independent risk value, so as to determine the target transmission path set; A redundant replication configuration is generated according to the correspondence between the minimum replication quantity and the target transmission path set, and a sequence number, path identifier, environment summary and verification summary are written to each replicated data frame to form the replicated data frame carrying frame identifier data.

6. The high-reliability transmission method for rocket communication as described in claim 1, characterized in that, The replicated data frames received through each target transmission path undergo integrity verification, missing field repair, deduplication, and sequence rearrangement to output the target service data frame. Specifically, this includes: Perform cyclic verification, timing consistency verification, and verification digest comparison on the replicated data frames received through each target transmission path to filter out the set of candidate valid frames; Based on the field differences, environment summary, and link-independent risk value between adjacent sequence number frames in the candidate valid frame set, a missing field repair input matrix is ​​constructed. The missing field repair input matrix is ​​input into the time series graph repair model to output the missing field estimation result, and the field completion of the damaged replicated data frame is completed based on the missing field estimation result; Perform deduplication and sequence rearrangement processing on the copied data frame after field completion to output the target business data frame.

7. The high-reliability transmission method for rocket communication as described in claim 6, characterized in that, Perform deduplication and sequence rearrangement processing on the copied data frame after field completion to output the target service data frame, including: The duplicated data frames are clustered according to the same sequence number to form multiple candidate sets of duplicate frames; For each set of duplicate frame candidates, the frame selection score is calculated based on the link-independent risk value, field completion confidence, reception delay, and environmental summary consistency. The highest-scoring duplicate data frame is selected as the target retained frame. The remaining duplicate duplicate data frames are removed, and the target service data frames after sequence rearrangement are output in ascending order of the sequence number of the target retained frames.

8. The high-reliability transmission method for rocket communication as described in claim 1, characterized in that, Based on the delivery result of the target service data frame, the link status data, and the environmental disturbance data, a feedback update process is performed to update the link health prediction parameters, relevant risk matrices, and redundant replication quantity configuration for subsequent transmission cycles. Specifically, this includes: Calculate the frame loss indicator, rearrangement delay indicator, repair success indicator, and deduplication elimination indicator for the current transmission cycle to form a transmission feedback indicator vector; The parameters of the link health prediction model and the parameters of the time series repair model are updated based on the error function between the transmission feedback index vector, the link status data, and the environmental disturbance data. Based on the updated model parameters, the correlation risk matrix between candidate paths is recalculated, and when the correlation risk matrix meets the preset fluctuation conditions, the redundant replication quantity configuration corresponding to the subsequent transmission cycle is adjusted. Write the updated link health prediction parameters, related risk matrix, and redundant replication quantity configuration to the policy cache for use in the next transmission cycle.

9. A high-reliability transmission system for rocket communication, characterized in that, The system includes: The state construction module is used to acquire the service data frames to be transmitted, link status data, environmental disturbance data, and historical fault sample data to construct a transmission time sequence state vector. The risk decoupling module is used to perform link health prediction processing and common-cause interference decoupling processing based on the transmission time-series state vector to generate link-independent risk values ​​for each candidate link and a correlation risk matrix between candidate paths. Specifically, it includes: inputting the transmission time-series state vector into the link health prediction model to output the failure probability and degradation rate of each candidate link within a preset look-ahead window; calculating the common-cause interference coupling coefficient between each candidate link based on the environmental feature similarity, spatial adjacency, and historical co-failure count; performing decoupling processing on the candidate link set based on the failure probability, degradation rate, and common-cause interference coupling coefficient to generate link-independent risk values ​​for each candidate link and a correlation risk matrix between candidate paths; and using the link-independent risk values ​​and the correlation risk matrix as input data for subsequent generation of redundant replication quantity configuration and target transmission path set. The replication scheduling module is used to generate a redundancy replication quantity configuration and a target transmission path set based on the link-independent risk value, the relevant risk matrix and the service priority corresponding to the service data frame to be transmitted, and to replicate and encapsulate the service data frame to be transmitted based on the redundancy replication quantity configuration to form multiple replicated data frames carrying frame identification data. The receive recovery module is used to perform integrity verification, missing field repair, deduplication and sequence rearrangement processing on the copied data frames received through each target transmission path, so as to output the target service data frame. The feedback optimization module is used to perform feedback update processing based on the delivery result of the target service data frame, the link status data, and the environmental disturbance data, so as to update the link health prediction parameters, related risk matrix, and redundant replication quantity configuration for subsequent transmission cycles.

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