A signal reconstruction, residual suppression and perception method, device and system based on space-time reference constraints

Abstract

The application discloses a signal reconstruction, residual suppression and perception method, device and system based on space-time reference constraints. The method comprises the following steps: acquiring an input signal, and determining a reference parameter set according to a space-time reference constraint corresponding to a receiving node and a preset closure rule; performing reference signal reconstruction on the input signal in a reference space defined by the space-time reference constraint based on the reference parameter set to obtain a reference reconstructed signal; determining a residual signal and / or a residual parameter according to the difference between the input signal and the reference reconstructed signal; performing suppression processing on an interference component in the residual signal that does not satisfy the space-time reference constraint, the closure rule or a consistency condition according to a preset suppression rule to obtain an effective signal; outputting a communication processing result based on the effective signal, and outputting an environment perception result based on the residual signal and / or the residual parameter. The device comprises an input acquisition module, a reference constraint determination module, a reconstruction module, a residual processing module and an output module. The system can further comprise an authentication control unit for performing a closure audit consistency check, and triggering an abnormal block, an output limitation or a reconstruction prohibition when a preset condition is not satisfied. The application can realize integrated output of communication processing and environment perception in the same processing link, and can be extended to front-end or near front-end hardware implementation and authentication control based on closure audit consistency check.

Description

Technical Field

[0001] This invention relates to the fields of signal processing, communication reception, environmental perception, and related devices and systems, specifically to a method, device, and system for signal reconstruction, residual suppression, and perception based on spatiotemporal reference constraints. The technical solution can be used in communication reception links for reference signal reconstruction, residual signal determination, interference component suppression, environmental perception result output, and related authentication control and front-end or near-front-end hardware implementation. Background Technology

[0002] Existing communication receiving and signal processing systems typically face the challenges of various factors in complex propagation environments, including multipath propagation, scattering, background disturbances, synchronization errors, environmental changes, and abnormal inputs. For the bias and background components in the receiving link, current technologies generally employ filtering, equalization, gating, differential processing, or other background suppression techniques to improve communication output quality.

[0003] However, the aforementioned technical approaches still suffer from the following problems. First, existing solutions typically treat all deviation components in the input signal as errors or interference to be eliminated, lacking a processing mechanism to establish a reference representation based on unified constraints, making it difficult to effectively form a reference reconstruction signal that matches the current input signal. Second, existing solutions often focus on residual information as the target of suppression, failing to fully utilize the environmental changes, target presence, position changes, velocity changes, or topology changes contained in the residual signal. Therefore, communication processing and environmental perception usually rely on different links, different algorithm modules, or additional processing structures, leading to increased system complexity and resource consumption. Third, in existing link processing schemes, abnormal inputs, unauthorized inputs, forged inputs, or input signals that do not meet synchronization conditions usually rely on independent authentication mechanisms outside the link for judgment, lacking a scheme that performs consistency verification and output control based on the same reference constraint system and the same processing link. Fourth, in scenarios with high requirements for real-time performance, power consumption, or integration, existing technologies largely rely on back-end processing units to perform complex background suppression and output control, while lacking sufficient structured processing capabilities at the front-end or near-front-end level, making it difficult to achieve integrated implementation of communication processing, environmental awareness, and anomaly control. Therefore, a new technical solution is needed, based on unified spatiotemporal reference constraints, to complete reference signal reconstruction, residual determination, interference component suppression, communication processing result output, and environmental awareness result output within the same link, and can be further extended to authentication control and front-end or near-front-end hardware implementation. Purpose of the invention

[0004] The purpose of this invention is to provide a signal reconstruction, residual suppression and sensing method, device and system based on spatiotemporal reference constraints, so as to solve the problems of insufficient reference representation establishment, insufficient utilization of residual information, separation of communication and sensing links, lack of unified control of abnormal inputs and insufficient front-end processing capabilities in the prior art. Technical solution

[0005] To achieve the above objectives, this invention provides a signal reconstruction, residual suppression, and sensing method based on spatiotemporal reference constraints, comprising: acquiring an input signal and determining a reference parameter set according to the spatiotemporal reference constraints corresponding to the receiving node and a preset closure rule; based on the reference parameter set, performing reference signal reconstruction on the input signal within a reference space defined by the spatiotemporal reference constraints, and constructing a topological reference state corresponding to the input signal to obtain a reference reconstructed signal corresponding to the input signal; determining a residual signal and / or residual parameters based on the difference between the input signal and the reference reconstructed signal using at least one of reference space projection separation operation, orthogonal projection operation, difference operation, distance calculation, or similarity calculation, wherein the residual parameters include at least one of a first deviation parameter characterizing spatial deviation and a second deviation parameter characterizing temporal evolution trend; generating an inverse control quantity corresponding to at least a portion of the interference components in a compensation channel, mirror channel, or polarity channel according to a preset suppression rule, and performing local cancellation, pairing suppression, or offset suppression processing on the interference components in the residual signal that do not satisfy the spatiotemporal reference constraints, closure rule, or consistency conditions to obtain an effective signal for link output; The communication processing result is output based on the effective signal, and the environmental perception result is output based on the residual signal and / or the residual parameter.

[0006] In some implementations, the spatiotemporal reference constraints include at least one of the following: spatial location parameters, time window parameters, array state parameters, historical state parameters, synchronization state parameters, closed topology constraint parameters, and compensation channel constraint parameters.

[0007] In some implementations, the reference parameter set is determined by at least one of a preset configuration, local measurement results, historical observation results, prediction results, and weighted allocation rules.

[0008] In some implementations, the residual parameters include at least one of the following: amplitude difference, phase difference, frequency shift deviation, angle of arrival deviation, time delay deviation, timing evolution deviation, and compensation deviation.

[0009] In some implementations, the suppression rules include at least one of the following: cancellation, filtering, gating, weighted reduction, threshold truncation, differential suppression, offset suppression based on compensation channels, paired suppression based on mirror channels, or paired suppression based on polarity channels.

[0010] In some implementations, the environmental perception results include at least one of the following: target presence, position, velocity, topology change, motion trend, and environmental state; the environmental perception results are directly generated by the residual signal and / or the residual parameters corresponding to the communication link input signal through inverse scattering reconstruction, topology reconstruction, or parameter estimation, and are generated without enabling independent sensing of the transmitted waveform.

[0011] This invention also provides a signal reconstruction, residual suppression, and sensing device based on spatiotemporal reference constraints, comprising: an input acquisition module for acquiring an input signal; a reference constraint determination module for determining a reference parameter set based on the spatiotemporal reference constraints corresponding to the receiving node and a preset closure rule; a reconstruction module for performing reference signal reconstruction on the input signal within a reference space defined by the spatiotemporal reference constraints based on the reference parameter set, to obtain a reference reconstructed signal; a residual processing module for determining a residual signal and / or residual parameters based on the difference between the input signal and the reference reconstructed signal, and performing suppression processing on interference components in the residual signal according to a preset suppression rule, to obtain an effective signal; and an output module for outputting a communication processing result based on the effective signal, and outputting an environmental perception result based on the residual signal and / or the residual parameters.

[0012] The present invention also provides a signal reconstruction, residual suppression and sensing system based on spatiotemporal reference constraints, comprising: a receiving unit for receiving input signals; a reference constraint storage unit and / or generation unit for providing spatiotemporal reference constraints, closure rules and reference parameter sets; a processing unit for performing reference signal reconstruction, residual determination and residual suppression; and an output unit for outputting communication processing results and environmental sensing results.

[0013] In some embodiments, the system further includes an authentication control unit, which performs a closure audit consistency check on the input signal, reference signal reconstruction process, or output result according to the spatiotemporal reference constraints, closure rules, and consistency conditions, and triggers abnormal blocking, output restriction, or reconstruction prohibition when the preset spatiotemporal conditions or consistency conditions are not met.

[0014] In some implementations, the residual processing may be performed at the front end or near the front end by at least one of an analog front-end circuit, a digital processing circuit, a memory-based processing array, a multi-value state processing unit, a compensation channel circuit, or a mirror channel circuit. Effect

[0015] Compared with the prior art, the present invention has at least the following beneficial effects.

[0016] First, by introducing spatiotemporal reference constraints and closure rules, this invention can establish a reference reconstruction signal that is compatible with the current input signal, thereby improving the pertinence of subsequent difference analysis and residual processing.

[0017] Second, by determining the difference between the input signal and the reference reconstructed signal in the reference space, the present invention can uniformly obtain the residual signal and / or residual parameters, providing a common data foundation for communication processing and environmental perception.

[0018] Third, by determining interference components based on spatiotemporal reference constraints, closure rules, and consistency conditions, and performing structured suppression processing on them, this invention can improve the link output quality and reduce the impact of non-target components on communication output.

[0019] Fourth, the present invention can output communication processing results based on effective signals and output environmental perception results based on residual signals and / or residual parameters, thereby realizing integrated output of communication processing and environmental perception in the same processing link.

[0020] Fifth, the present invention can be further extended to front-end or near-front-end hardware implementation and authentication control based on closed-loop audit consistency verification, thereby improving the real-time performance, scalability and engineering adaptability of the system. Attached Figure Description

[0021] The accompanying drawings are provided to further illustrate the invention and form part of this specification. The illustrative embodiments and descriptions in the drawings are used to explain the invention and do not constitute an undue limitation on the scope of protection of the invention. In the drawings:

[0022] Figure 1 This is a schematic diagram of the overall process of a signal reconstruction, residual suppression and sensing method based on spatiotemporal reference constraints according to the present invention.

[0023] Figure 2 This is a schematic diagram illustrating the principle of signal separation and residual determination within the reference space of the present invention;

[0024] Figure 3 This is a schematic diagram of the module structure of a signal reconstruction, residual suppression and sensing device based on spatiotemporal reference constraints according to the present invention;

[0025] Figure 4 This is a schematic diagram of the structure of a signal reconstruction, residual suppression and sensing system based on spatiotemporal reference constraints according to the present invention;

[0026] Figure 5 This is a schematic diagram of the front-end or near-front-end residual processing path in one embodiment of the present invention;

[0027] Figure 6 This is a schematic diagram of a closed-loop audit consistency verification and authentication control process in one embodiment of the present invention. Explanation of reference numerals in the attached figures

[0028] 100: Overall Flow of the Method of this Invention 101: Input Signal 102: Receiving Node 103: Spatiotemporal Reference Constraints 104: Closure Rule 105: Reference Parameter Set 106: Reference Space 107: Reference Signal Reconstruction Step 108: Reference Reconstructed Signal 109: Difference Determination Step 110: Residual Signal 111: Residual Parameter 112: Suppression Rule 113: Interference Component 114: Residual Suppression Step 115: Valid Signal 116: Communication Processing Result 117: Environmental Perception Result 118: Closure Audit Consistency Verification 119: Anomaly Blocking / Output Limitation / Reconstruction Prohibition 200: Schematic Structure of Reference Space Separation 201: Input Signal Path 202: Reference Reconstruction Signal Path 203: Main Loop Signal 204: Deviation Component 205: Residual Signal 206: Interference Component 207: Effective Residual Information 208: Projection Separation Result 209: Differential Operation Result 210: Similarity / Distance Calculation Result 300: Signal Reconstruction, Residual Suppression and Sensing Device 301: Input Acquisition Module 302: Reference Constraint Determination Module 303: Reconstruction Module 304: Residual Processing Module 305: Output Module 306: Analog Front-End Electrical 307: Digital processing circuit; 308: In-memory computing array; 309: Multi-value state processing unit; 310: Compensation channel circuit; 311: Mirror channel circuit; 312: Polarity channel circuit; 400: Signal reconstruction, residual suppression and sensing system; 401: Receiving unit; 402: Reference constraint storage unit; 403: Reference constraint generation unit; 404: Processing unit; 405: Output unit; 406: Authentication control unit; 407: Communication output interface; 408: Sensing output interface; 409: Historical state storage unit; 410: Synchronization state acquisition unit; 500: Front end or... Near-front processing path 501: Input interface 502: Front-end sampling unit 503: Near-front processing position 504: Reference reconstruction path 505: Residual determination path 506: Compensation channel path 507: Mirror channel path 508: Suppressed output path 600: Closed audit consistency verification process 601: Input signal legality judgment 602: Spatiotemporal reference constraint matching judgment 603: Closed rule matching judgment 604: Consistency condition judgment 605: Verification passed branch 606: Anomaly blocking branch 607: Output restriction branch 608: Reconstruction prohibited branch Detailed Implementation

[0029] To make the objectives, technical solutions, and beneficial effects of this invention clearer, the invention will be further described below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following embodiments are for illustrative purposes only and are not intended to limit the scope of protection of this invention.

[0030] Without departing from the inventive concept, all substitutions, modifications, combinations, or variations made by those skilled in the art should fall within the protection scope of this invention. In the following embodiments, the input signal may be a wireless communication received signal, an array sampling signal, a sensor sampling signal, a hybrid electromagnetic signal, or other signals that can be used for constraint analysis, reference signal reconstruction, residual extraction, and link output processing at the receiving node. The receiving node may be a base station, terminal, edge node, vehicle-mounted node, UAV node, fixed monitoring node, security node, or other device or system with receiving, processing, and output capabilities.

[0031] In the following implementation, the spatiotemporal reference constraints can be provided by a preset configuration or dynamically generated from local measurement results, historical states, synchronization states, or prediction results. The closure rule can be a pre-defined rule or a rule updated under different working scenarios. The reference space can correspond to the parameter space, projection space, state space, or a feature constraint space established by mapping relationships. Terminology Definition

[0032] 1. Spatiotemporal reference constraints "Spatiotemporal reference constraints" refer to a set of parameters used to define the reference state of an input signal. These parameters describe the spatial, temporal, state, and associated constraints of the receiving node with respect to the input signal at the current processing moment. The spatiotemporal reference constraints may include at least one of the following: spatial location parameters, time window parameters, array state parameters, historical state parameters, synchronization state parameters, closed topology constraint parameters, and compensation channel constraint parameters.

[0033] 2. Reference parameter set "Reference parameter set" refers to the set of parameters used to generate the reference reconstruction signal, determined according to spatiotemporal reference constraints. The reference parameter set can be determined by at least one of the following: preset configuration, local measurement results, historical observation results, prediction results, and weighted allocation rules.

[0034] 3. Reference Space "Reference space" refers to the parameter space, state space, projection space, or constraint space defined by spatiotemporal reference constraints and used for performing input signal-reference signal reconstruction and difference analysis. The reference space is not limited to a geometric space, but can also be a feature representation space formed after mapping, projection, decomposition, or constraint processing.

[0035] 4. Reference Signal "Reference signal reconstruction" refers to the process of generating a reference reconstructed signal corresponding to the input signal in a reference space based on a set of reference parameters. The reference signal reconstruction can be accomplished based on a preset model, state mapping rules, historical state estimation, projection relationships, structural constraints, or a combination thereof.

[0036] 4A. Topological reference state "Topological reference state" refers to the reference representation constructed by the system in the reference space based on spatiotemporal reference constraints, closure rules, and historical priors. The topological reference state is not a simple copy of historical waveforms, but a reference skeleton used to characterize the expected main loop relationships, channel correlation relationships, or state closure relationships within the current processing cycle.

[0037] 4B. Causal Shadow "Causal shadow" refers to the residual mapping that causes a separable topological distortion in the input signal relative to the topological reference state after an environmental entity, target object, or environmental boundary intervenes in the communication propagation environment. In this specification, causal shadow can be used as an optional term to describe the effective residual information caused by environmental entities.

[0038] 4C. First deviation parameter and second deviation parameter The "first deviation parameter" refers to a parameter characterizing the degree of deviation of the input signal from the topological reference state space in the reference space; the "second deviation parameter" refers to a parameter characterizing the trend of the deviation evolving over time slices. In some embodiments, the first deviation parameter and the second deviation parameter are denoted as the D1 spatial deviation parameter and the D2 evolution momentum parameter, respectively.

[0039] 4D. Physical-level polarity hedging "Physical-level polarity offsetting" refers to a processing mechanism that applies inverse control quantities, inverse biases, or reciprocal control logic to perform local cancellation, pairing suppression, or offset suppression on at least some residual components in the underlying hardware medium, cross array, compensation channel, mirror channel, or polarity channel, in order to reduce reliance on conventional back-end digital processing.

[0040] 5. Residual signal "Residual signal" refers to the difference signal between the input signal and the reference reconstructed signal, or the deviation signal obtained after further separation, mapping, or transformation based on the difference between the two. The residual signal may contain target-related components, environment-related components, interference-related components, compensation deviation components, or combinations thereof.

[0041] 6. Residual parameters "Residual parameters" refer to the parameter results formed after measuring, estimating, extracting, or calculating the residual signal. The residual parameters may include at least one of amplitude difference, phase difference, frequency shift deviation, angle of arrival deviation, time delay deviation, timing evolution deviation, and compensation deviation.

[0042] 7. Interference components "Interference component" refers to a residual component in the residual signal that does not meet the preset reference constraints, closure rules, consistency conditions, or threshold conditions. The interference component may originate from noise, multipath propagation, abnormal injection, unauthorized input, propagation distortion, non-target reflection, or other undesirable factors.

[0043] 8. Residual Suppression "Residual suppression" refers to the process of reducing the impact of interference components on the link output by performing cancellation, filtering, gating, weighted reduction, threshold truncation, differential suppression, offset suppression, mirror channel pairing suppression, or polar channel pairing suppression on interference components in the residual signal according to preset suppression rules. The residual suppression can be performed in the analog front end, digital processing layer, near-front end processing layer, in-memory computing array, or other locations.

[0044] 9. Closure rule "Closed-loop rules" refer to a set of rules used to determine whether the input signal, reference reconstructed signal, residual signal, and their parameters meet preset requirements for structural consistency, state consistency, channel matching relationship, or validity. Closed-loop rules can be used for reference parameter set generation, separation of main loop signal and deviation components, interference component determination, validity determination of sensing results, and authentication control.

[0045] 10. Closed topology constraint parameters "Closed topology constraint parameters" refer to structural parameters used to limit the relationships between main loops, channels, reference mappings, or state closures within a reference space. These closed topology constraint parameters can be used to constrain the connection, matching, or determination methods between input signals, reference reconstruction signals, and residual signals, so that the generation of reference parameter sets, determination of residuals, determination of interference components, and output control have a unified structural basis.

[0046] 11. Closed-loop audit consistency verification "Closed-loop audit consistency verification" refers to the process of checking the matching, legality, or validity of input signals, reference reconstruction processes, and output results based on spatiotemporal reference constraints, closure rules, and consistency conditions. When the verification result does not meet the preset conditions, the system may trigger abnormal blocking, output restriction, reconstruction prohibition, or other control actions.

[0047] 12. Compensation Channel A "compensation channel" refers to a signal processing channel, physical channel, or logic channel used to perform residual compensation, offset suppression, or auxiliary difference separation. A compensation channel can be an independently configured processing channel or a functional path partitioned from an existing processing chain.

[0048] 13. Mirror channel or polar channel A "mirror channel" or "polarity channel" refers to a channel structure used to perform pairing, offsetting, differential, or compensation processing on specific components in a residual signal. The mirror channel focuses on pairing residual components based on correspondence, mapping, or symmetry relationships; the polarity channel focuses on performing corresponding suppression or compensation processing based on the sign, direction, or channel attributes of the residual components.

[0049] 14. Multi-valued state processing unit A "multi-valued state processing unit" refers to a circuit unit, logic unit, or array unit that can switch processing states between two or more discrete states based on an input signal, a reference reconstructed signal, a residual signal, or residual parameters. The multi-valued state processing unit can be used to perform gating, reduction, differential suppression, paired suppression, or compensation control, and can switch processing states based on the sign, amplitude, channel affiliation, matching degree, or threshold judgment result of the residual components.

[0050] 15. Environmental perception results "Environmental perception results" refer to information results directly generated from residual signals and / or residual parameters, used to characterize changes in targets, environments, or states. These environmental perception results may include at least one of the following: target presence, location, velocity, topological changes, motion trends, and environmental states.

[0051] Communication processing results "Communication processing result" refers to the link processing result obtained based on the effective signal after residual suppression. The communication processing result may include demodulation result, recovered data, synchronization result, link status result, or other communication link output information.

[0052] 17. Implementation method of residual classification based on parameter threshold and channel matching results In some implementations, the system can classify residual signals and / or residual parameters based on parameter thresholds, channel matching results, and closure rule matching results. The parameter thresholds may include at least one of amplitude thresholds, phase thresholds, time delay thresholds, frequency shift thresholds, timing evolution thresholds, or compensation deviation thresholds. The channel matching results may include at least one of main loop matching results, compensation channel matching results, mirror channel matching results, or polarity channel matching results. The closure rule matching results can be used to characterize whether the current residual component meets preset structural consistency, state consistency, or validity requirements. In one implementation, when a residual component simultaneously meets preset threshold conditions and main loop matching conditions, the system determines it as a retained component or a valid residual component. When a residual component does not meet spatiotemporal reference constraints, closure rules, or consistency conditions, or its channel matching results do not meet preset requirements, the system determines it as an interference component and further performs cancellation, filtering, gating, weighted reduction, offset suppression, or paired suppression. The above classification implementation can be used to enhance the engineering feasibility of interference component determination and can be used in combination with any of the implementations in Embodiments 1 to 4. Example 1: Communication Reception and Interference Suppression Example

[0053] This embodiment illustrates the application of the present invention in a communication receiving scenario. In this scenario, the receiving node 102 receives an input signal 101 from the target transmitting end. In addition to the effective communication components for link recovery, the input signal 101 may also contain residual components and noise components caused by multipath propagation, reflection, scattering, background disturbances, adjacent channel leakage, asynchronous input, or environmental changes.

[0054] like Figure 1 As shown, the communication reception and interference suppression process described in this embodiment includes input signal acquisition, spatiotemporal reference constraint determination, reference parameter set generation, reference signal reconstruction, residual signal and / or residual parameter determination, residual suppression, and communication processing result output. Combined with... Figure 2 Within the reference space 106, a difference is formed between the input signal 101 and the reference reconstructed signal 108. The residual signal 110 and / or residual parameter 111 can be obtained through projection separation, differential operation, distance calculation or similarity calculation, and the interference component 113 and the effective signal 115 can be further determined.

[0055] In this embodiment, the receiving node 102 may include a receiving antenna, an array element, a sampling interface, a processor, and a memory. The receiving node 102 first acquires the input signal 101 within the current processing cycle, and simultaneously acquires or updates the current spatiotemporal reference constraint 103. The spatiotemporal reference constraint 103 may include at least one of the following: receiving node spatial location parameters, current processing time window, frame synchronization state, phase synchronization state, array state parameters, historical state parameters, and closed topology constraint parameters.

[0056] The receiving node 102 further determines a reference parameter set 105 based on the spatiotemporal reference constraint 103 and the preset closure rule 104. The reference parameter set 105 can be provided by preset configuration items for basic parameters, by local measurement results for the current receiving status, by historical observation results for reference information of the previous processing cycle, by prediction results for reference estimates of the current cycle, and by a weighted allocation rule to form the final reference parameter set 105.

[0057] Based on the reference parameter set 105, the receiving node 102 performs reference signal reconstruction 107 on the input signal 101 within the reference space 106 to obtain a reference reconstruction signal 108 corresponding to the current input signal 101. The reference reconstruction signal 108 is used to characterize the reference representation that the input signal 101 should satisfy under the current spatiotemporal reference constraints 103 and closure rule 104.

[0058] Based on the reference parameter set 105, the receiving node 102 performs reference signal reconstruction 107 on the input signal 101 within the reference space 106 to obtain a reference reconstruction signal 108 corresponding to the current input signal 101. The reference reconstruction signal 108 is used to characterize the reference representation that the input signal 101 should satisfy under the current spatiotemporal reference constraints 103 and closure rule 104.

[0059] After obtaining the residual signal 110 and / or residual parameter 111, the receiving node 102 performs suppression processing 114 on the interference component 113 in the residual signal 110 that does not satisfy the spatiotemporal reference constraint 103, closure rule 104, or consistency condition, according to a preset suppression rule 112. The suppression rule 112 may include at least one of cancellation, filtering, gating, weighted reduction, threshold truncation, differential suppression, offset suppression based on the compensation channel, pairing suppression based on the mirror channel, or pairing suppression based on the polarity channel. In one embodiment, the receiving node 102 sets a compensation channel at the front end or near the front end to perform offset processing on the residual component that does not satisfy the closure rule 104 according to the residual parameter 111; in another embodiment, the system sets a mirror channel to perform mirror pairing suppression on the residual component that does not match the main loop.

[0060] After completing the suppression process 114, the receiving node 102 obtains a valid signal 115 for link output and outputs a communication processing result 116 based on the valid signal 115. The communication processing result 116 may include demodulation results, recovered data, synchronization results, payload data, or link status results. Since the interference component 113 has been specifically suppressed according to the spatiotemporal reference constraint 103 and the closure rule 104, this embodiment can reduce the impact of multipath, background disturbances, and abnormal components on the link output, and improve the stability and output quality of the receiving link. Example 2: Environmental Perception Based on Residual Information

[0061] This embodiment illustrates the application of the present invention in an environmental perception scenario. In this scenario, the input signal 101 is affected by target objects, environmental boundaries, motion states, occlusion structures, obstacles, or scene changes during propagation, thereby forming a residual signal 110 with environmental representation significance between the input signal 101 and the reference reconstructed signal 108.

[0062] like Figure 1 and Figure 2 As shown, in this embodiment, the environmental perception result 117 is directly generated from the residual signal 110 and / or residual parameter 111 corresponding to the communication link input signal 101. Specifically, after the difference between the input signal 101 and the reference reconstruction signal 108 in the reference space 106 is separated, effective residual information 207 can be formed to characterize the existence, position, velocity, topology change, motion trend or environmental state of the target.

[0063] In this embodiment, the system first acquires the input signal 101 and determines the spatiotemporal reference constraints 103 and the reference parameter set 105 based on the current state of the receiving node 102. Unlike Embodiment 1, this embodiment places greater emphasis on structural deviations in the reference space 106 related to the environmental state. When constructing the reference space 106, the system can enhance constraints related to position, propagation path, array angle state, historical environmental state, or synchronization timing, enabling the reference reconstruction signal 108 to more accurately represent the reference representation that should appear under the current environmental assumptions.

[0064] When there are target objects or changes in the state of the environment, such as moving targets, occluded objects, environmental boundary deformation, changes in target velocity, or changes in reflection path, a difference that can characterize this type of change will form between the input signal 101 and the reference reconstructed signal 108. The system obtains the residual signal 110 through projection separation, differential operation, or similarity calculation, and further extracts residual parameters 111, such as angle of arrival deviation, phase difference, frequency shift deviation, time delay deviation, timing evolution deviation, or compensation deviation.

[0065] In this embodiment, the system does not treat all residuals as objects to be suppressed. Instead, it first divides the residual components into at least two categories based on the closure rule 104 and the consistency condition: one category is the interference component 113 that does not meet the preset constraints, and the other category is the effective residual component that is related to environmental changes or target changes. For the former, the system performs suppression processing 114; for the latter, the system retains and sends it to the environmental perception result 117 generation process. This division can be determined by threshold conditions, channel matching results, the main loop relationship in the reference space 106, the matching results of the closure rule 104, or the compensation channel verification results.

[0066] The environmental perception result 117 can be directly generated from the residual signal 110 and / or residual parameters 111 through inverse scattering reconstruction, topology reconstruction, or parameter estimation. The environmental perception result 117 includes, but is not limited to, target presence, position, velocity, topology changes, motion trends, and environmental conditions. In one embodiment, the system infers the target's azimuth and motion trend based on the angle of arrival deviation and phase difference; in another embodiment, the system estimates the target's distance and velocity changes based on the time delay deviation and frequency shift deviation; in yet another embodiment, the system determines whether the environmental topology has changed based on the evolution results of the residual parameters 111 at multiple time points.

[0067] In a specific scenario, the receiving node 102 can be a fixed base station or an edge node. When receiving the input signal 101 sent by the user terminal, this node simultaneously receives propagation deviations caused by environmental boundaries, reflectors, or moving targets. The system first reconstructs the reference signal based on the current time window, array state, and historical state. Then, it extracts residual information based on the difference between the actual received input signal 101 and the reference reconstructed signal 108. After suppression and filtering, the system outputs the communication processing result 116 on one hand, and the target existence and location result on the other hand, based on the residual information. Example 3: Abnormal Input Recognition and Authentication Example

[0068] This embodiment illustrates the application of the present invention in anomaly input identification and authentication control scenarios. In this scenario, the system may face unauthorized input, forged input, anomaly injection, synchronization mismatch input, or other input signals that do not meet preset spatiotemporal conditions. In the prior art, anomaly input identification often relies on an independent authentication module outside the link, while this embodiment utilizes the spatiotemporal reference constraints, closure rules, and closure audit consistency verification mechanism of the present invention to complete anomaly identification and output control within the same architecture.

[0069] like Figure 4 and Figure 6As shown, the system 400 in this embodiment may further include an authentication control unit 406, which is used to perform a closure audit consistency check 118 on the input signal 101, the reference signal reconstruction process, and the output result. When the input signal does not meet the preset spatiotemporal reference constraint 103, closure rule 104, or consistency condition, the system may enter an abnormal blocking 606, output restriction 607, or reconstruction prohibition 608 branch.

[0070] In this embodiment, after receiving node 102 acquires input signal 101, it not only performs reference parameter set 105 generation, reference signal reconstruction 107, and residual determination, but also performs closure audit consistency verification 118 on input signal 101 or reconstruction process according to spatiotemporal reference constraints 103, closure rules 104, and consistency conditions. The closure audit consistency verification 118 may include: whether input signal 101 matches the current time window, whether input signal 101 matches preset spatial location parameters, whether input signal 101 matches historical or synchronization states, whether the reference reconstruction process satisfies preset main loop relationships, and whether residual components exceed preset tolerance or threshold conditions. In some embodiments, the closure audit consistency verification 118 includes at least one or more of the following: input signal legality judgment 601, spatiotemporal reference constraint matching judgment 602, closure rule matching judgment 603, and consistency condition judgment 604. When each judgment meets preset requirements, the system enters the verification pass branch 605; otherwise, it enters the abnormal blocking branch 606, output restriction branch 607, or reconstruction prohibition branch 608.

[0071] In one implementation, after comparing the reconstructed reference signal result with the input signal 101, if the resulting residual signal 110 does not satisfy the closure rule 104 or the consistency condition, the input signal 101 is determined to be an abnormal or unauthorized input. This non-compliance can manifest as the residual parameter 111 exceeding a threshold, weak correlation between the main loop signal 203 and the reference signal, inability of the compensation channel to complete matching, failure of mirror channel offsetting, or significant inconsistency in synchronization states. The system can set different tolerances or verification levels for the above situations according to different scenarios.

[0072] The authentication control unit 406 can work in conjunction with the processing unit 404. The authentication control unit 406 performs a closure audit consistency check 118 on the input signal 101, the reconstruction process, or the output result based on the spatiotemporal reference constraint 103, the closure rule 104, and the consistency condition. The closure audit consistency check 118 may include at least one or more of the following: input signal validity judgment, spatiotemporal reference constraint matching judgment, closure rule matching judgment, and consistency condition judgment. It will trigger anomaly blocking, output restriction, or reconstruction prohibition when the preset spatiotemporal condition or consistency condition is not met.

[0073] In one implementation, anomaly blocking may include prohibiting the establishment of communication output for the current processing cycle; output restriction may include outputting only audit results, outputting only partial communication results, or prohibiting the output of environment-aware results; reconstruction prohibition may include stopping the reconstruction process of the reference signal corresponding to the current input signal, or preventing the current residual signal from entering the subsequent result generation link. Through the above hierarchical control method, the system can implement different levels of processing for different types of abnormal inputs based on the closed-loop audit consistency verification results.

[0074] In an optional implementation, the system can write the closure audit consistency verification result into the historical state parameters, so that subsequent processing cycles can consider previous abnormal events when generating the reference parameter set 105, thereby forming a dynamic adjustment capability. When a certain type of abnormal input occurs continuously, the system can automatically increase the strictness of the relevant closure rule 104 or increase the judgment weight of the corresponding residual parameter 111 to further reduce the impact of abnormal input. Example 4: Front-end or near-front-end hardware implementation example

[0075] This embodiment illustrates the application of the present invention in front-end or near-front-end hardware implementation. In this scenario, in order to reduce the back-end processing burden, shorten the response chain, improve real-time performance, or enhance integration, the system moves the residual determination and at least some residual suppression functions forward to the analog front-end, digital front-end, near-front-end processing location, or array-level hardware structure for execution.

[0076] like Figure 3 and Figure 5 As shown, the device 300 in this embodiment includes an input acquisition module 301, a reference constraint determination module 302, a reconstruction module 303, a residual processing module 304, and an output module 305. The residual processing can be completed in the front-end or near-front-end processing path 500, which may include at least one of an analog front-end circuit 306, a digital processing circuit 307, a memory-computing array 308, a multi-value state processing unit 309, a compensation channel circuit 310, and a mirror channel circuit 311.

[0077] First, the input acquisition module 301 acquires the input signal 101. This input signal 101 can come directly from the receiving antenna, array element, sensor front end, or interface circuit. Then, the reference constraint determination module 302 determines the reference parameter set 105 based on the current state of the receiving node, the stored reference constraint configuration, and the closure rule 104. The reference parameter set 105 can be formed by combining preset parameters in local registers and memory, state information provided by the synchronization module, and current state information provided by the array state detection circuit.

[0078] Next, the reconstruction module 303 performs reference signal reconstruction 107 on the input signal 101 within the reference space 106 to obtain the reference reconstructed signal 108. The reconstruction module 303 can be implemented using digital logic, array circuits, in-memory computing structures, or dedicated combinational logic. For some applications, the reconstruction module 303 can output the reference reconstructed signal 108 near the front end for direct use by the subsequent residual processing module 304; for other applications, the reconstruction module 303 and the residual processing module 304 can be integrated into the same processing array or the same front-end logic unit.

[0079] The residual processing module 304 determines the residual signal 110 and / or residual parameter 111 based on the difference between the input signal 101 and the reference reconstructed signal 108, and performs suppression processing 114 on the interference component 113 according to the preset suppression rule 112. In one embodiment, the compensation channel circuit 310 generates a compensation control quantity based on the residual parameter 111 and performs offset suppression on the residual component that does not meet the closure rule 104; in another embodiment, the mirror channel circuit 311 performs mirror pairing suppression on the component in the input signal 101 that does not match the reference signal; in yet another embodiment, the multi-value state processing unit 309 switches between different processing states based on the sign, amplitude, or channel attribute of the residual to complete gating, reduction, or differential suppression.

[0080] In one optional implementation, the in-memory computing array 308 can directly receive the local mapping results corresponding to the input signal 101 and the reference reconstructed signal 108, and perform local cancellation, pairing suppression, or offset suppression at the cross node or local processing node based on the compensation channel constraint parameters, mirror channel constraint parameters, or multi-value state switching results. Thus, at least some of the interference components 113 can be pre-reduced or separated at the hardware layer near the input acquisition location before being sent to the subsequent communication processing results 116 and environmental perception results 117 to generate the link.

[0081] In this embodiment, the multi-value state processing unit 309 can switch to different processing states based on the amplitude range, sign attribute, matching degree, or channel affiliation of the residual signal 110 and / or residual parameter 111. For example, when the residual component meets the first type of threshold condition, the multi-value state processing unit 309 can perform gating or pass processing; when the residual component meets the second type of threshold condition, it can perform reduction or differential suppression; when the residual component is determined to be an interference component 113 that does not meet the closure rule 104 or the consistency condition, it can cooperate with the compensation channel circuit 310 or the mirror channel circuit 311 to perform paired suppression or offset processing. Therefore, the multi-value state processing unit 309 is not only a state identification unit, but also an actual processing unit used to participate in the execution of the preset suppression rule 112.

[0082] Furthermore, in one embodiment, the multi-valued state processing unit 309 can perform pass or gate in the first state, perform reduction or differential suppression in the second state, and perform paired suppression in cooperation with the compensation channel circuit 310 or the mirror channel circuit 311 in the third state; in another embodiment, the multi-valued state processing unit 309 can also generate corresponding suppression control quantities according to the polarity channel attributes, so as to perform corresponding compensation or restriction processing on residual components that do not meet the preset conditions.

[0083] In this embodiment, the front-end or near-front-end processing location can be selected as after the analog receiving front-end, before the analog-to-digital converter, after the analog-to-digital converter, before the main processor, inside the array-level processing unit, or in a local logic layer. This invention does not limit residual processing to a single location, but emphasizes that the determination and suppression of at least some interference components 113 can be moved forward to a processing layer closer to the input acquisition location.

[0084] After completing the front-end or near-front-end processing, the output module 305 outputs the communication processing result 116 based on the processed valid signal 115, and outputs the environment perception result 117 based on the residual signal 110 and / or residual parameter 111. For scenarios requiring authentication control, the system can also link the closed-loop audit consistency verification logic with the front-end or near-front-end processing unit, so that inputs that clearly do not meet the spatiotemporal reference constraint 103 or consistency conditions are restricted or blocked at an earlier stage. Example 5: Passive Radar Sensing Based on Communication Illumination Source

[0085] This embodiment illustrates the application of the present invention in a passive radar scenario. In this scenario, the system does not transmit an active detection waveform for sensing separately. Instead, it utilizes an external communication illumination source, a base station downlink signal, a terminal uplink signal, or other existing wireless communication waveforms as illumination sources. The receiving node simultaneously receives the direct signal and the echo signal reflected or scattered by the target to perceive the target's presence, position, speed, movement trend, or environmental state.

[0086] like Figure 1 , Figure 2 and Figure 4 As shown, the system 400 in this embodiment can be deployed at a fixed receiving station, edge node, roadside unit, vehicle-mounted node, or other node with dual-channel or multi-channel receiving capabilities. The system 400 receives at least two types of input: one is a direct input signal 101 from the communication illumination source, and the other is an input signal 101 arriving after the propagation path changes due to a target object, environmental boundary, or obstructing entity. The reference constraint storage unit 402 and / or the reference constraint generation unit 403 determine the spatiotemporal reference constraint 103 and the reference parameter set 105 based on the spatial location of the receiving node, the current time window, synchronization state, array state, and historical observation results.

[0087] In this embodiment, the processing unit 404 first constructs a topological reference state in the reference space 106 based on the direct input signal 101, historical priors, and closure rule 104, and generates a reference reconstruction signal 108 accordingly. Subsequently, the processing unit 404 performs reference space projection separation, orthogonal projection, or differential operations on the actually received input signal 101 and the reference reconstruction signal 108 to determine the residual signal 110 and / or residual parameters 111. The residual parameters 111 may include at least one of the following: angle of arrival deviation, time delay deviation, frequency shift deviation, amplitude difference, phase difference, and a first deviation parameter and a second deviation parameter.

[0088] For interference components 113 caused by environmental noise, non-target reflections, or abnormal inputs that do not satisfy spatiotemporal reference constraints 103, closure rules 104, or consistency conditions, the system can perform local cancellation, pairing suppression, or offset suppression through compensation channels, mirror channels, or polarity channels. For valid residual information 207 caused by target objects or environmental boundaries that satisfies the perception output conditions, the system retains it and generates environmental perception results 117 through inverse scattering reconstruction, topology reconstruction, or parameter estimation.

[0089] In a specific application scenario, the communication illumination source can be a roadside base station or a roadside communication node, and the receiving node can be an independently set sensing receiving node. When a vehicle, pedestrian, or other target enters the illumination area, it will cause a separable deviation in the input signal relative to the topological reference state after reflection, scattering, or obstruction by the target. By performing constraint analysis and residual extraction on the above deviations, the system can output the target presence, relative orientation, velocity changes, or environmental status results without enabling the independent sensing transmission waveform.

[0090] In another application scenario, system 400 can simultaneously receive multi-view input signals 101 from multiple communication illumination sources. Processing unit 404 combines spatiotemporal reference constraints 103 and closure rules 104 from multiple receiving channels to perform joint analysis on residual parameters 111, thereby improving the stability of determining the existence, orientation changes, or movement trends of targets in complex environments. For non-line-of-sight scenarios, the system can output environmental perception results 117 based on the retained effective residual information 207, provided that spatiotemporal constraint matching and closure rule matching are satisfied.

[0091] Through this embodiment, the present invention can achieve at least the following effects: perform passive sensing using existing communication illumination sources; convert topological distortions in the communication link into residual information that can be used for environmental sensing; and take into account the output of communication processing result 116 and passive radar-type environmental sensing result 117 in the same processing link. Example 6: Micro-biological and Micro-motion Passive Sensing Example

[0092] This embodiment illustrates the application of the present invention in scenarios involving the detection of minute displacements, weak periodic motions, or localized mechanical vibrations. In this scenario, the system can utilize existing communication illumination sources in indoor or near-field environments, such as wireless LAN access points, short-range communication nodes, or other continuously operating communication transmitting nodes, as external illumination sources. At the receiving end, the system separates and processes the direct component, the static background component, and the residual information caused by the motion of minute targets.

[0093] like Figure 1 , Figure 2 and Figure 5 As shown, the receiving node 102 first anchors the stable direct input signal 101 and the background reflection component that remains relatively stationary for a long time as a topological reference state. Then, through projection separation operation, compensation channel processing, or mirror channel pairing suppression in the reference space 106, it performs pre-reduction on the large-amplitude static component. Thus, the ability to resolve small residual information can be improved without increasing the independent sensing of the transmitted waveform.

[0094] In this embodiment, the target object can be the rise and fall of the human chest cavity, periodic displacement caused by respiration, micro-motion changes related to heart rate, micro-vibration of mechanical parts, small oscillation of rotor parts, or other local movements at the millimeter level or below. After the target object intervenes in the propagation environment, it generates changes in the first deviation parameter and / or the second deviation parameter relative to the topological reference state. The processing unit 404 can output the environmental perception result 117, such as the trend of vital signs, micro-motion frequency characteristics, local vibration state, or target existence result, by performing time series analysis, parameter estimation, or closure rule matching on the residual signal 110 and / or residual parameter 111.

[0095] In one implementation, the receiving node can be deployed at indoor monitoring points, edge sensing nodes, robot platforms, industrial equipment side nodes, or security nodes. When the system performs passive sensing of small moving targets behind non-metallic obstructions, it prioritizes using reference signal reconstruction and residual suppression to reduce the influence of background components, and then generates environmental perception results 117 based on the retained effective residual information 207. This implementation is suitable for micro-motion sensing in short-range, near-range, or indoor scenarios.

[0096] Through this embodiment, the present invention can achieve passive sensing of minute displacements, periodic micro-motions, or local mechanical vibrations under existing communication illumination conditions, and improve the effective residual information separation capability under strong direct components and strong static background conditions. Example 7: Short-Range Wide-Area Traffic Sensing Based on Urban Communication Illumination Sources

[0097] This embodiment illustrates the application of the present invention in urban road traffic, low-altitude flight activities, and roadside cooperative sensing scenarios. In this scenario, densely deployed cellular communication base stations, roadside communication units, or fixed wireless access nodes within the city can serve as communication illumination sources, while distributed receiving nodes utilize their existing downlink or uplink communication waveforms to perform residual extraction and environmental sensing on propagation deviations caused by moving entities.

[0098] like Figure 1 , Figure 2 , Figure 4 and Figure 5 As shown, receiving devices deployed at road intersections, bridge sides, road edge nodes, or low-altitude management nodes receive input signals 101 from multiple communication illumination sources. The system models long-term stable building reflections, fixed facility scattering, and static background propagation paths as topological reference states, and performs reference signal reconstruction 107 based on spatiotemporal reference constraints 103, closure rules 104, and historical state parameters. Subsequently, the processing unit 404 extracts the first deviation parameter, the second deviation parameter, and other residual parameters caused by the moving target.

[0099] In this embodiment, the moving target can be a vehicle, pedestrian, non-motorized vehicle, logistics robot, low-altitude aircraft, or other entity moving in the urban environment. The system performs time alignment, spatiotemporal matching, and joint analysis on the residual parameters 111 output by multiple receiving nodes to output environmental perception results 117, such as target presence, relative position, speed changes, path trends, local traffic conditions, or low-altitude activity status. In some implementations, the system's perception range can cover road intersections, road sections, industrial parks, or localized urban areas; its specific coverage is determined by the layout of the illumination source, the location of the receiving nodes, the propagation environment, and synchronization conditions.

[0100] In one implementation, the system can upload first and second deviation parameters output by multiple receiving nodes to an edge processing unit or a central processing node for fusion, thereby obtaining joint perception results for multiple mobile entities in a complex traffic environment. In this way, passive perception capabilities for traffic cooperation or low-altitude management can be achieved using existing communication networks without configuring additional independent sensing transmitting nodes.

[0101] Through this embodiment, the present invention can transform residual information in the communication propagation process into environmental information that can be used for traffic and low-altitude activity sensing under urban communication illumination conditions, and supports multi-node joint processing and regional sensing output. Example 8: Wide-area passive sensing based on low-Earth orbit satellite or ground broadcast illumination sources

[0102] This embodiment illustrates the application of the present invention in environmental perception scenarios such as open areas, sea areas, high-altitude platforms, or large-scale areas. In this scenario, low-Earth orbit satellite communication constellations, terrestrial FM broadcasts, television broadcasts, or other long-distance, high-coverage illumination sources can serve as third-party illumination sources, while the receiving node performs reference signal reconstruction and residual analysis on the input signal under long propagation path conditions in passive reception mode.

[0103] like Figure 1 , Figure 2 and Figure 4 As shown, the receiving node 102 can be located at coastal stations, mountain platforms, high-altitude monitoring nodes, mobile receiving platforms, or other locations with good field of view. The system receives input signals 101 from low-Earth orbit satellites or ground broadcast illumination sources and establishes a topological reference state based on the receiving node location, time window, synchronization status, and historical observation results. For long-term stable sea surface backgrounds, topographic boundaries, or fixed scattering structures, the system performs background reduction through closure rule 104 and a compensation channel suppression mechanism.

[0104] When a target object enters the illumination path or causes occlusion, reflection, scattering, or topological distortion of the propagation environment, a separable causal shadow and its corresponding first and / or second deviation parameters can be formed relative to the topological reference state. After extracting and analyzing the deviation parameters, the system can output environmental perception results 117, such as target presence, orientation change, velocity change, area activity state, or environmental boundary change. In some embodiments, the scenario can be used for passive perception under regional or long-distance conditions, and its applicability depends on the illumination source power, illumination source height, receiving height, propagation conditions, and background environment.

[0105] In one implementation, the target object can be a maritime target, an aerial target, a target near an elevated platform, or other distant entities. The system can perform long-term monitoring or status assessment of the target using propagation distortion caused by a third-party illumination source without requiring independent active sensing of the transmitted waveform.

[0106] Through this embodiment, the present invention can transform the propagation deviation under wide-coverage illumination source conditions into regional environmental perception information, and support the passive perception of distant targets or boundary changes in open areas. Example 9: An Example of Beyond-Line-of-Sight Passive Sensing Based on High-Frequency Shortwave Irradiation Source and Propagation in the Ionosphere or Troposphere

[0107] This embodiment illustrates the passive sensing application of the present invention in beyond-line-of-sight, wide-area propagation, and complex atmospheric propagation environments. In this scenario, third-party high-frequency shortwave communication, international broadcast signals, or other illumination signals that can be reflected by the ionosphere or propagated through the troposphere serve as external illumination sources. The system, as a passive receiving node, performs reference reconstruction and residual extraction on the input signal after long-distance propagation.

[0108] like Figure 1 , Figure 2 , Figure 4 and Figure 6 As shown, the system incorporates ionospheric state changes, tropospheric propagation changes, sea clutter, or other large-scale background disturbances into the spatiotemporal reference constraint 103 and historical state parameters, and constructs a dynamic topological reference state in the reference space 106. The processing unit 404 continuously updates the reference parameter set 105 and the closure rule 104 to ensure that drastic changes in the background propagation environment are absorbed into the reference reconstruction signal 108 as much as possible, while retaining the residual information related to the target activity as an analyzable object.

[0109] In this embodiment, the target object can be a large, long-range target, a maritime target, an aerial target, or other beyond-line-of-sight activity entity. The system performs projection separation, differential operation, or parameter estimation on the difference between the input signal 101 and the reference reconstructed signal 108 to obtain a first deviation parameter, a second deviation parameter, and other residual parameters 111. Then, based on the channel matching result, threshold condition, and consistency condition, it distinguishes the interference component 113 corresponding to background disturbances from the effective residual information 207 corresponding to target activity. Thus, the system can output environmental perception results 117 under suitable propagation conditions, such as the status of long-range activities, the presence of regional targets, or changes in wide-area boundaries.

[0110] In one embodiment, the receiving node can be deployed at coastal sites, high ground, fixed receiving stations, or mobile receiving platforms, and works in conjunction with the historical state storage unit 409 and the synchronization state acquisition unit 410 to improve adaptability to changes in long-distance propagation paths. This embodiment is suitable for passive sensing needs in areas beyond the horizon or at long distances, and its sensing distance and resolution are jointly determined by frequency band, propagation conditions, illumination source layout, receiving location, and environmental conditions.

[0111] Through this embodiment, the present invention can utilize high-frequency shortwave or other long-range propagation illumination sources to achieve beyond-line-of-sight wide-area passive sensing in complex background propagation environments by dynamically updating the reference state and extracting residuals. Example 10: An Example of a Distributed Residual Sensing Network Based on Heterogeneous Terminal Collaboration

[0112] This embodiment illustrates the system architecture of the present invention, which extends from single-node passive perception to multi-node collaborative perception. In this scenario, multiple heterogeneous terminal nodes, while performing their daily communication reception or local signal processing, output lightweight residual information or perception parameters according to a unified residual reporting rule. These parameters are then jointly processed by edge nodes, cloud nodes, or central fusion nodes, thereby forming a large-scale distributed environmental perception capability.

[0113] like Figure 4 and Figure 6 As shown, multiple receiving nodes 102 can be integrated into smart terminals, vehicle-mounted nodes, roadside nodes, fixed IoT nodes, or other authorized communication devices. Each node establishes its own spatiotemporal reference constraints 103 and topological reference state based on its own location, time window, synchronization status, and local observation results, and extracts local first deviation parameters, second deviation parameters, and other residual parameters 111. The system defines a standardized residual reporting protocol for reporting at least some residual parameters, timestamps, node location identifiers, and verification results.

[0114] In this embodiment, edge nodes or central processing nodes can perform spatiotemporal stitching, phase alignment, closure audit consistency verification, and multi-node fusion processing on residual parameters from multiple heterogeneous terminals to form regional or larger-scale environmental perception results 117. These environmental perception results may include the presence of regional targets, road traffic conditions, local environmental changes, boundary activity trends, or large-scale environmental conditions. In some implementations, the system only uploads lightweight residual parameters instead of the complete original waveform to reduce communication burden and central processing pressure.

[0115] In one implementation, the system requires each node to complete a local closure audit consistency check 118 before reporting residuals, and only reports results when preset conditions are met; for node results that do not meet the consistency conditions, the authentication control unit 406 executes output restrictions or reconstruction prohibitions. In this way, the system can improve the consistency and stability of multi-node fusion results.

[0116] Through this embodiment, the present invention can utilize a massive number of heterogeneous terminals to form a distributed residual sensing network, enabling the local sensing of a single node to be expanded into a regional or even larger-scale collaborative environmental sensing capability. Explanation of the relationship between the embodiments

[0117] The above embodiments one through ten are not mutually exclusive. Embodiment one focuses on communication reception and interference suppression; embodiment two focuses on environmental perception based on residual information; embodiment three focuses on abnormal input identification and authentication based on spatiotemporal reference constraints; embodiment four focuses on front-end or near-front-end hardware implementation paths; embodiment five focuses on passive radar perception based on communication illumination sources; embodiment six focuses on passive perception of micro-biological and micro-motion activities; embodiment seven focuses on traffic and low-altitude activity perception under urban communication illumination conditions; embodiment eight focuses on wide-area passive perception under low-orbit satellite or terrestrial broadcast illumination conditions; embodiment nine focuses on wide-area passive perception under high-frequency shortwave illumination and beyond-line-of-sight propagation conditions; and embodiment ten focuses on a distributed residual perception network with heterogeneous terminal collaboration. In practical applications, the above embodiments can be implemented individually or in any combination. For example, the system can first complete partial residual suppression at the front end or near the front end according to Embodiment 4, then output the communication processing results according to Embodiment 1, and at the same time output the environment perception results according to at least one of Embodiment 2, Embodiment 5, Embodiment 6, Embodiment 7, Embodiment 8, Embodiment 9 or Embodiment 10, and perform abnormal input identification and authentication control according to Embodiment 3.

[0118] It should be understood that the above embodiments are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any equivalent substitutions, improvements, and modifications made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A signal reconstruction, residual suppression, and sensing method based on spatiotemporal reference constraints, characterized in that, include: S1. Acquire the input signal and determine the reference parameter set according to the spatiotemporal reference constraints corresponding to the receiving node and the preset closure rule; S2. Based on the reference parameter set, perform reference signal reconstruction on the input signal within the reference space defined by the spatiotemporal reference constraints, and construct a topological reference state corresponding to the input signal to obtain a reference reconstruction signal corresponding to the input signal; S3. Based on the difference between the input signal and the reference reconstruction signal, use at least one of the following: reference space projection separation operation, orthogonal projection operation, difference operation, distance calculation, or similarity calculation to determine the residual signal and / or residual parameters, wherein the residual parameters include at least one of a first deviation parameter characterizing spatial deviation and a second deviation parameter characterizing temporal evolution trend; S4. Based on the preset suppression rules, generate inverse control quantities corresponding to at least some of the interference components in the compensation channel, mirror channel, or polarity channel, and perform local cancellation, pairing suppression, or offset suppression processing on the interference components in the residual signal that do not meet the spatiotemporal reference constraints, closure rules, or consistency conditions to obtain an effective signal for link output; S5. Output communication processing results based on the effective signal, and output environmental perception results based on the residual signal and / or the residual parameters.

2. The method according to claim 1, characterized in that: The spatiotemporal reference constraints include at least one of the following: spatial location parameters, time window parameters, array state parameters, historical state parameters, synchronization state parameters, closed topology constraint parameters, and compensation channel constraint parameters; the reference parameter set is determined by at least one of the following: preset configuration, local measurement results, historical observation results, prediction results, and weighted allocation rules.

3. The method according to claim 1, characterized in that: The residual parameters include at least one of the following: amplitude difference, phase difference, frequency shift deviation, angle of arrival deviation, time delay deviation, time evolution deviation, compensation deviation, a first deviation parameter characterizing spatial deviation, and a second deviation parameter characterizing the time evolution trend; the first deviation parameter and the second deviation parameter are respectively denoted as D1 spatial deviation parameter and D2 evolution momentum parameter in some embodiments; the step of determining the residual signal and / or residual parameters based on the difference between the input signal and the reference reconstructed signal further includes determining the residual parameters based on the separation result of the main loop signal and the deviation component.

4. The method according to claim 1, characterized in that: The suppression rules include at least one of the following: cancellation, filtering, gating, weighted reduction, threshold truncation, differential suppression, hedging suppression based on compensation channels, pairing suppression based on mirror channels, or pairing suppression based on polarity channels. The interference component is a residual component that does not meet the preset reference constraints, closure rules, consistency conditions, or threshold conditions.

5. The method according to claim 1, characterized in that: The environmental perception results include at least one of the following: target presence, position, velocity, topology change, motion trend, and environmental state; the environmental perception results are directly generated by the residual signal and / or the residual parameters corresponding to the communication link input signal through inverse scattering reconstruction, topology reconstruction, or parameter estimation, and are generated under the condition that independent sensing of the transmitted waveform is not enabled.

6. A signal reconstruction, residual suppression, and sensing device based on spatiotemporal reference constraints, characterized in that, include: The input acquisition module is used to acquire input signals; The reference constraint determination module is used to determine the reference parameter set based on the spatiotemporal reference constraints corresponding to the receiving node and the preset closure rule. The reconstruction module is used to reconstruct the input signal based on the reference parameter set within a reference space defined by the spatiotemporal reference constraints to obtain a reference reconstructed signal; the residual processing module is used to determine the residual signal and / or residual parameters according to the difference between the input signal and the reference reconstructed signal, and to perform suppression processing on the interference components in the residual signal according to a preset suppression rule to obtain an effective signal; The output module is used to output communication processing results based on the effective signal, and to output environmental perception results based on the residual signal and / or the residual parameters.

7. A signal reconstruction, residual suppression, and sensing system based on spatiotemporal reference constraints, characterized in that, include: The receiving unit is used to receive input signals; Reference constraint storage unit and / or generation unit, used to provide spatiotemporal reference constraints, closure rules and reference parameter sets; The processing unit is used to perform reference signal reconstruction, residual determination, and residual suppression; An output unit is used to output communication processing results and environmental perception results; wherein the processing unit is configured to perform the method described in any one of claims 1 to 5.

8. The apparatus according to claim 6, characterized in that: The residual processing module includes at least one of an analog front-end circuit, a digital processing circuit, a memory-computing array, a multi-valued state processing unit, a compensation channel circuit, or a mirror channel circuit. The memory-computing array and / or the multi-valued state processing unit are configured to perform local cancellation, pairing suppression, or offset suppression at cross nodes or local processing nodes based on the difference between the input signal and the reference reconstructed signal at the front-end or near-front-end location, so as to perform suppression processing on the interference components.

9. The system according to claim 7, characterized in that: The system also includes an authentication control unit, which is used to perform closed audit consistency verification on the input signal, reference signal reconstruction process or output result according to the spatiotemporal reference constraints, closure rules and consistency conditions. The closed audit consistency verification includes at least one or more of the following: input signal legality judgment, spatiotemporal reference constraint matching judgment, closure rule matching judgment and consistency condition judgment. When the preset spatiotemporal conditions or consistency conditions are not met, abnormal blocking, output restriction or reconstruction prohibition is triggered.

Images