Emergency communication link rapid establishment and data encryption transmission method and system

Abstract

The application relates to the field of emergency communication and wireless communication technology, in particular to an emergency communication link rapid establishment and data encryption transmission method and system, which comprises the following steps: a control module and an analog receiver are used to collect current environment radio frequency signals in a preset wideband mode, and concurrent digital down-conversion baseband data streams are extracted and obtained; a physical feature tensor is constructed by extracting a sub-channel energy distribution feature; in response to a link establishment request, the physical feature tensor is dimensionally reduced and mapped through a preset feature hash mapping algorithm to generate a physical layer constellation phase rotation matrix and a frequency hopping sequence; the physical feature tensor is used as a dynamic key, and the phase rotation matrix and the frequency hopping sequence are combined to encrypt and heteromodulate data to be sent and send the data to a receiving end; rapid link establishment, low exposure communication and data encryption transmission bound with a field space feature in a complex electromagnetic environment are realized.

Description

Technical Field

[0001] This invention relates to the field of emergency communication and wireless communication technology, specifically to a method and system for rapid establishment of emergency communication links and encrypted data transmission. Background Technology

[0002] With the widespread application of wireless communication networks, the complexity of the electromagnetic environment at emergency sites has increased significantly. This complexity brings many challenges, especially in scenarios where there is a lack of public network base stations and multi-source interference. Currently, communication links are generally established by the transmitting and receiving ends exchanging higher-layer signaling on a fixed channel. The communication equipment executes a conventional handshake protocol and exchanges keys on a preset frequency point before transmitting business data. However, traditional link establishment and transmission methods rely on a fixed mechanism of exchanging passwords before transmitting data, requiring multiple rounds of protocol interaction. Although these methods can complete standard communication initialization, they are extremely vulnerable to interference from multiple sources of electromagnetic activity, which can easily lead to slow link establishment or even complete failure. Furthermore, the single fixed communication pattern has poor resistance to interception and suppression. Therefore, how to quickly establish emergency communication links and achieve encrypted data transmission in complex electromagnetic environments lacking public network base stations has become an urgent problem to be solved in this field. Summary of the Invention

[0003] The purpose of this invention is to provide a method and system for rapid establishment and encrypted data transmission of emergency communication links, solving the following technical problems: It avoids the problem of slow or even impossible link establishment due to the susceptibility of fixed channels and conventional handshake methods to interference in complex environments with multiple electromagnetic sources. It can also transfer the link establishment and key distribution process to the physical layer, thereby achieving fast link establishment, low-exposure communication, and encrypted data transmission bound to the spatial characteristics of the site in complex electromagnetic environments.

[0004] The objective of this invention can be achieved through the following technical solutions: A method for rapid establishment of emergency communication links and encrypted data transmission, applied at the transmitting end, includes: controlling an analog-to-digital integrated receiver to operate in a preset broadband mode to collect radio frequency signals of the current environment, and extracting the radio frequency signals to obtain concurrent digital down-conversion baseband data streams; Extract the sub-channel energy distribution features of the concurrent digital down-conversion baseband data stream to construct a third-order physical feature tensor consisting of sub-channel index, time slice index, and feature type; In response to the chain establishment request, the physical feature tensor is reduced in dimension and mapped using a preset feature hash mapping algorithm to generate a physical layer constellation phase rotation matrix and a frequency hopping sequence; The physical feature tensor is used as a dynamic key, combined with the phase rotation matrix of the physical layer constellation diagram and the frequency hopping sequence, to encrypt and heterogeneously modulate the data to be transmitted to generate a radio frequency transmission signal, and the radio frequency transmission signal is sent to the receiving end so that the receiving end can match, decrypt and demodulate the radio frequency transmission signal based on the locally pre-stored receiving end physical feature tensor.

[0005] In one possible implementation, the sub-channel energy distribution features of the concurrent digital down-conversion baseband data stream are extracted to construct a physical feature tensor, including: The concurrent digital downconversion baseband data stream is channelized using a multiphase filter bank and divided into multiple sub-channels. The instantaneous energy value sequence of the multi-channel sub-channel is calculated, the energy value at the preset minimum quantile is extracted as the noise floor energy estimate, and the noise floor energy estimate is multiplied by a preset coefficient to obtain the energy threshold of the multi-channel sub-channel. The ratio of the maximum energy peak in the instantaneous energy value sequence to the noise floor energy estimate is converted into the carrier-to-noise ratio. The energy threshold and the carrier-to-noise ratio are mapped to a time-domain noise floor feature vector. Multiple time-domain noise floor feature vectors are combined in chronological order to form the third-order physical feature tensor.

[0006] In one possible implementation, the physical feature tensor is used as a dynamic key, combined with the physical layer constellation diagram phase rotation matrix and the frequency hopping sequence, to encrypt and heterogeneously modulate the data to be transmitted to generate a radio frequency transmission signal, including: The modulation mode hopping pattern is determined based on the frequency hopping sequence; The data to be transmitted is dynamically interleaved, encrypted, and modulated using the dynamic key, the physical layer constellation phase rotation matrix, and the modulation mode transition map to generate heterogeneous modulated data with dynamic environment feature codes, wherein the dynamic environment feature codes are implicitly constituted by the binding relationship between the dynamic key and the modulation mode transition map; the heterogeneous modulated data is then converted into radio frequency transmission signals and transmitted.

[0007] One possible implementation includes: In broadband spectrum monitoring, the radio frequency transmission signal transmitted by the transmitter is captured to obtain broadband real-time data. The radio frequency transmission signal is generated by the transmitter through encryption and heterogeneous modulation based on the physical feature tensor as a dynamic key. Extract the physical features of the broadband real-time data, and perform convolution matching between the physical features and the receiver's locally stored physical feature tensor; Calculate the correlation peak value of the convolutional matching and determine whether the correlation peak value is greater than a preset correlation threshold; if the correlation peak value is greater than the preset correlation threshold, the matching is determined to be successful and the local carrier generator configuration is locked. If the correlation peak is less than or equal to the preset correlation threshold, the matching is determined to be unsuccessful and the broadband real-time data is discarded; if the matching is successful, the broadband real-time data is reverse-compensated, decrypted and demodulated based on the local carrier generator configuration and the receiver physical feature tensor to establish a communication link and complete data transmission.

[0008] In one possible implementation, the broadband real-time data is inversely compensated, decrypted, and demodulated based on the local carrier generator configuration and the receiver's physical feature tensor to establish a communication link and complete data transmission, including: The broadband real-time data is detected and identified to output current reconnaissance parameters, which include the current carrier-to-noise ratio and the current symbol rate. A reverse phase shift matrix is ​​generated based on the current reconnaissance parameters and the physical feature tensor of the receiver; the reverse phase shift matrix is ​​used to perform constellation diagram reverse phase shift operation on the broadband real-time data to compensate for channel distortion. Using the physical feature tensor of the receiving end as the decryption key, the data after the channel distortion is compensated is decrypted and demodulated at the bit level to recover the original service data of the sending end.

[0009] In one possible implementation, after transmitting the radio frequency signal, the method further includes: real-time monitoring of changes in the current ambient noise floor; Determine whether the change in the current ambient noise floor is greater than a preset noise floor change threshold; if the change in the current ambient noise floor is greater than the preset noise floor change threshold, trigger spectrum scaling and measurement operations, reacquire radio frequency signals to generate an updated physical feature tensor, and use the updated physical feature tensor to synchronously update the physical layer constellation diagram phase rotation matrix and the frequency hopping sequence; If the change in the current environmental noise floor is less than or equal to the preset noise floor change threshold, then the current physical feature tensor remains unchanged.

[0010] In one possible implementation, the instantaneous bandwidth supported by the analog-to-digital integrated receiver is not less than a preset bandwidth threshold, and the number of concurrent digital down-conversion baseband data streams is not less than a preset number of streams threshold.

[0011] An emergency communication link rapid establishment and data encryption transmission system includes a sending end and a receiving end; the sending end includes: An environmental sampling module is used to control the analog-to-digital receiver to operate in a preset broadband mode to collect radio frequency signals of the current environment, and extract the radio frequency signals to obtain concurrent digital down-conversion baseband data streams; Tensor construction module is used to perform channelization processing on the concurrent digital downconversion baseband data stream using a multiphase filter bank, and extract sub-channel energy distribution features to construct physical feature tensors. The parameter evolution module is used to respond to the chain establishment request by reducing the dimensionality of the physical feature tensor through a preset feature hash mapping algorithm to generate a physical layer constellation phase rotation matrix and a frequency hopping sequence. The heterogeneous transmission module is used to use the physical feature tensor as a dynamic key, combined with the physical layer constellation diagram phase rotation matrix and the frequency hopping sequence, to encrypt and heterogeneously modulate the data to be transmitted to generate a radio frequency transmission signal, and to send the radio frequency transmission signal to the receiving end; The receiving end includes: a detection fitting module, used to capture the radio frequency transmission signal to obtain broadband real-time data under broadband spectrum monitoring state, extract the physical features of the broadband real-time data, perform convolution matching between the physical features and the receiving end physical feature tensor pre-stored locally, calculate the correlation peak of the convolution matching, lock the local carrier generator configuration when the correlation peak is greater than a preset correlation threshold, and determine the matching failure and discard the broadband real-time data when the correlation peak is less than or equal to the preset correlation threshold. The communication establishment module is used to perform reverse compensation, decryption, and demodulation on the broadband real-time data based on the local carrier generator configuration and the physical feature tensor of the receiving end, so as to establish a communication link and complete data transmission.

[0012] The beneficial effects of this invention are: 1. This invention constructs a physical feature tensor by collecting local radio frequency signals and uses it as a dynamic key, thus sinking the traditional high-layer handshake and key distribution to the physical layer; heterogeneous modulation parameters can be directly generated without preset frequency points or pre-interaction, which greatly shortens the link establishment time and effectively reduces the risk of link exposure. 2. This invention utilizes physical feature tensors to drive constellation diagram phase rotation and frequency hopping sequence generation, enabling the transmitted signal to dynamically evolve in frequency and modulation mode according to the environment; this heterogeneous modulation mechanism with environmental feature codes can effectively avoid strong co-frequency interference and suppression on site, ensuring the stability of data transmission. 3. The receiver of this invention does not need to know the transmission time and modulation pattern in advance. It can accurately capture the target signal by convolutional matching of broadband monitoring and local feature tensors. Combined with real-time reconnaissance parameters, an inverse phase shift matrix is ​​generated to compensate for channel distortion, ensuring highly reliable reverse decryption and demodulation under complex propagation conditions. 4. In response to the problem of rapid evolution of spectrum status at the rescue site, the present invention monitors the changes in background noise in real time and automatically triggers spectrum scaling and reconstructs the feature tensor when environmental drift exceeds the limit; by synchronously refreshing encryption and transmission parameters, it effectively avoids transmission mismatch and maintains the long-term continuous operation of the emergency communication link. Attached Figure Description

[0013] The invention will now be further described with reference to the accompanying drawings.

[0014] Figure 1 A flowchart illustrating a method for rapid establishment of an emergency communication link and encrypted data transmission provided in an embodiment of this application; Figure 2 This is a schematic diagram of a module of an emergency communication link rapid establishment and data encryption transmission system provided in an embodiment of this application. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] Please see Figure 1 An emergency communication link rapid establishment and data encryption transmission method is applied to the transmitting end, including: controlling an analog-to-digital integrated receiver to operate in a preset broadband mode to collect radio frequency signals of the current environment, and extracting the radio frequency signals to obtain concurrent digital down-conversion baseband data streams; Extract the sub-channel energy distribution features of the concurrent digital down-conversion baseband data stream to construct a third-order physical feature tensor consisting of sub-channel index, time slice index, and feature type; In response to the chain establishment request, the physical feature tensor is reduced in dimension and mapped using a preset feature hash mapping algorithm to generate a physical layer constellation phase rotation matrix and a frequency hopping sequence; The physical feature tensor is used as a dynamic key, combined with the phase rotation matrix of the physical layer constellation diagram and the frequency hopping sequence, to encrypt and heterogeneously modulate the data to be transmitted to generate a radio frequency transmission signal, and the radio frequency transmission signal is sent to the receiving end so that the receiving end can match, decrypt and demodulate the radio frequency transmission signal based on the locally pre-stored receiving end physical feature tensor.

[0017] This embodiment provides a sending end implementation mechanism for rapid establishment of emergency communication links and encrypted data transmission; specifically, this embodiment uses a complex electromagnetic environment with multi-source interference and a lack of public network base stations as the application scenario for technical explanation; In this scenario, the public network base station is damaged, and there are multiple sources of electromagnetic activity on site, such as generators, radios, drone image transmission, and civilian walkie-talkies. Fixed channels and conventional handshake methods are easily interfered with, resulting in slow or even impossible chain establishment. Therefore, the sending end no longer relies on key negotiation before sending data, but instead senses the electromagnetic environment of the local space and directly converts the spectrum distribution characteristics of the environment into physical layer chain establishment credentials and encryption basis. Specifically, the transmitting end can use an integrated analog-to-digital receiver, a field-programmable logic device, and a baseband processor to form an integrated hardware link; The analog-to-digital integrated receiver performs radio frequency acquisition of the current environment in a preset broadband mode. The preset broadband mode can cover the common ultra-shortwave and adjacent service frequency bands at the rescue site, enabling the device to monitor multiple active frequency points and background noise levels simultaneously in a single sampling process. The acquired broadband radio frequency signal is down-converted and analog-to-digital converted at the front end and then extracted into multiple concurrent digital down-converted baseband data streams. Here, concurrency is not just a software multitasking concept, but rather the hardware simultaneously performing parallel processing on multiple narrowband regions, enabling the system to form an overall understanding of the local electromagnetic space within the same time slice. After obtaining the concurrent digital downconversion baseband data stream, the transmitting end extracts the energy distribution, noise floor fluctuations, narrowband occupancy status and carrier relative stability of each sub-channel, and organizes these features that reflect the texture of the electromagnetic environment on site into physical feature tensors. The physical feature tensor is specifically defined as a third-order tensor composed of sub-channel index, time slice index, and feature type, used to characterize the multidimensional distribution of the electromagnetic environment in terms of frequency, time, and statistical properties. This physical feature tensor characterizes the multidimensional distribution of the spectrum in a local space. For example, some frequency bands have continuous high-power voice communication, some frequency bands only have a rise in noise floor, and some frequency bands exhibit intermittent bursts of image transmission. These states have a correlation index within a preset range for the transmitting and receiving ends in the same local area in a short period of time, but their cross-correlation coefficient is lower than the identification threshold for third parties far away from the site, so they are suitable as a source of physical layer keys. In order to enable the environmental features to directly drive the transmission parameters, when the transmitter receives the link establishment request, it performs a preset feature hash mapping algorithm on the physical feature tensor. The specific mapping process is as follows: the tensor elements are read serially according to the preset lexicographical order, the multidimensional physical feature tensor is expanded into a one-dimensional environmental feature sequence, and it is input into a preset hash function to generate a fixed-length pseudo-random bit stream. The pseudo-random bit stream is segmented according to preset rules. The first segment of bits is extracted, converted into index values, and queried in a preset phase deflection dictionary to obtain the deflection angles of each term in the constellation diagram phase rotation matrix. The last segment of bits is extracted as the seed for the pseudo-random sequence generator to generate an integer sequence, which is then mapped to a candidate frequency point set to output a frequency hopping sequence. This mapping is not for obtaining abstract mathematical results, but rather to compress the field spectral characteristics into a set of control parameters that can drive physical layer actions, including the constellation diagram phase rotation matrix and frequency hopping sequence; the former is used to change the way symbols land in the complex plane, so that the same business data presents different constellation mapping distribution patterns in different field environments. The latter is used to determine the timing sequence of frequency switching during transmission, enabling the link to avoid continuous interference and frequency exposure; schematically, if there are four main sub-region features in the physical feature tensor, a set of phase control units can be mapped, for example, the four symbol clusters adopt different rotation directions respectively; At the same time, a set of frequency access sequences can be obtained, such as the jump trajectory f2→f1→f3→f2 formed by three candidate frequency points; in actual implementation, more control bits can be generated by higher-dimensional tensors; The sending end uses the physical feature tensor as a dynamic key, and together with the constellation diagram phase rotation matrix and frequency hopping sequence, it applies the data to be sent; the data to be sent can be the vital signs and location information of trapped personnel, on-site video summaries, or disaster reporting codes uploaded by the search and rescue team. During processing, the baseband processor first dynamically interleaves the service bit stream to disperse continuous data segments in time and frequency. Then, it perturbs the symbol mapping relationship according to the dynamic key and generates heterogeneous modulation signals according to the frequency hopping sequence and the corresponding modulation mode. The heterogeneous modulation mentioned here refers to the modulation method of using different modulation orders or modulation schemes for different data segments within the same communication frame according to the modulation mode hopping spectrum. The generated radio frequency transmission signal no longer exhibits a single, fixed communication pattern, but presents a physical layer appearance that evolves with the environment. The receiver can only complete subsequent matching and recovery when the matching degree between the locally extracted environmental features and the transmitter's environmental features reaches a preset relevant threshold. In the event of abnormal environment or hardware overload, if the transmitter finds that the broadband data is obviously saturated, the front end is overloaded, or the number of effective sub-channels in a certain time window is lower than the preset threshold when collecting environmental radio frequency signals, the link establishment can be temporarily suspended. Instead, the gain can be adjusted, the observation frequency band can be narrowed, or the physical feature tensor can be re-formed in the next sampling period. If the stability of the currently formed physical feature tensor is insufficient when the chain establishment request arrives, for example, the spectrum occupancy flips drastically in a short period of time, the sender can freeze the tensor that met the stability conditions at the previous moment as a transitional dynamic key to avoid frequent mismatch of the transmitter parameters due to instantaneous environmental anomalies. If the background noise of the electromagnetic environment is stable and the noise floor is low, and there is a lack of difference that meets the preset feature extraction threshold, the device can also combine the noise floor feature with locally observable physical quantities such as receiver local oscillator deviation and antenna port received power stratification status into tensor construction to enhance the distinguishability of the tensor. For example, at a landslide rescue site, the frontline search and rescue team is preparing to transmit emergency data containing the coordinates of the injured and respiratory monitoring results back to the command vehicle; The squad terminal activated broadband mode and observed the presence of rescue intercom services, drone backhaul links, and several intermittent civilian wireless signals in the vicinity. Based on this, the system formed a physical feature tensor of the scene. The command vehicle and the search and rescue team were located in the same valley area, and their main spectral textures were highly similar. Therefore, without sending a traditional handshake packet, the squad terminal directly generates a phase rotation matrix and frequency hopping sequence based on the tensor, encrypts and heterogeneously modulates the service data, and then transmits it. Since the communication parameters are embedded with physical characteristics bound to the on-site electromagnetic environment, the receiving side can directly complete identification and demodulation during subsequent monitoring. The purpose of this step is to move the chain establishment and key distribution process, which originally required high-level protocol exchange, down to the environmental awareness and parameter evolution process of the radio frequency physical layer. The technical effect of this step is to deeply couple the chain establishment and key generation process with the physical layer environmental awareness, thereby improving the speed and security of communication link establishment.

[0018] In a preferred embodiment of the present invention, extracting the sub-channel energy distribution characteristics of the concurrent digital down-conversion baseband data stream to construct a physical feature tensor includes: performing channelization processing on the concurrent digital down-conversion baseband data stream using a polyphase filter bank to divide it into multiple sub-channels; calculating the instantaneous energy value sequence of the multiple sub-channels, extracting the energy value at a preset minimum quantile as a noise floor energy estimate, multiplying the noise floor energy estimate by a preset coefficient to obtain the energy threshold of the multiple sub-channels, and converting the ratio of the maximum energy peak in the instantaneous energy value sequence to the noise floor energy estimate into a carrier-to-noise ratio; mapping the energy threshold and the carrier-to-noise ratio into a time-domain noise floor feature vector; and combining multiple time-domain noise floor feature vectors in chronological order to form the third-order physical feature tensor.

[0019] This embodiment provides a specific construction mechanism for physical feature tensors; specifically, in the aforementioned mountain landslide rescue site, simply obtaining broadband radio frequency raw data is still insufficient to stably support rapid link establishment, because broadband data contains not only environmental spectrum components that conform to preset statistical characteristics, but also instantaneous pulses, audio feedback interference signals and equipment noise itself. If the entire broadband data segment is directly used as the key source, it is easy to cause inconsistencies in feature extraction at both ends, which will affect the establishment of subsequent communication. Therefore, this embodiment further introduces a polyphase filter bank and a joint energy-carrier-to-noise ratio characterization method to improve the robustness of the physical feature tensor. Specifically, the multiphase filter bank performs channelization processing on the concurrent digital downconversion baseband data stream, dividing multiple frequency regions in the original continuous broadband into sub-channels that meet the preset stability test requirements. The reason for adopting this method is that the electromagnetic environment at the rescue site is not uniformly distributed, and often exhibits a layered structure with some frequency bands being active for a long time, some frequency bands being intermittently occupied, and some frequency bands only having a raised noise floor. After dividing the data into multiple sub-channels, each sub-channel corresponds to a local grid in the field spectrum map. The system can observe the energy intensity and noise pollution level of each local grid separately. Within each subchannel, the device calculates the energy threshold and carrier-to-noise ratio. Specifically, the baseband data of the subchannel within the current sampling window is summed by the amplitude squared over time slices to obtain an instantaneous energy value sequence. The instantaneous energy value sequence is statistically analyzed, and the energy value at its preset minimum quantile is extracted as the noise floor energy estimate. The noise floor energy estimate is then multiplied by a preset coefficient to obtain the energy threshold of the subchannel. Meanwhile, the maximum energy peak is extracted from the instantaneous energy value sequence, and the ratio of the maximum energy peak to the noise floor energy estimate is converted into the carrier-to-noise ratio of the sub-channel within the current sampling window; the energy threshold can be understood as the activity boundary of the sub-channel in the current sampling window, used to distinguish between stable noise floor, useful carrier, burst interference and other states; the carrier-to-noise ratio is used to characterize the prominence of organized signals in the sub-channel relative to the random background; The combination of these two can reflect the state classification of a subchannel, including idle background noise, broadband noise interference, stable narrowband carrier, and high-concurrency burst occupancy. For example, if a subchannel has high energy but low carrier-to-noise ratio, it usually means that the area is greatly affected by broadband noise or multi-user aliasing. If the energy is moderate and the noise-carrying ratio is high, it is closer to a narrowband stable service signal; if both are low, it indicates that the area is close to the natural background noise. The system then maps these two types of features of each sub-channel into a time-domain noise floor feature vector in chronological order, so that the tensor not only reflects the frequency distribution, but also the short-term evolution trend. As a specific example of quantitative simulation, assume that at a certain moment, four sub-channels C1, C2, C3, and C4 are obtained through channelization; the observation results show that the first sub-channel exhibits idle noise, the second sub-channel has a stable intercom carrier, the third sub-channel exhibits intermittent burst image transmission, and the fourth sub-channel is affected by broadband mechanical interference. The system can compress the states of these four sub-channels in two consecutive time slices into a set of time-domain noise floor feature vectors. For example, the first time slice corresponds to low-energy stability, high-energy stability, high-energy transition, and high-energy disorder, while the second time slice corresponds to low-energy stability, high-energy stability, low-energy transition, and high-energy disorder. This vector is not a point-by-point copy of the original waveform, but retains the spectral structured data that meets the preset saliency characteristics, and then uses it as a physical feature tensor input to the subsequent parameter evolution process. In the event of abnormal environment or hardware overload, if some sub-channels are subjected to strong transient pulse impacts, causing the energy of a single time slice to rise abnormally, the system can adopt a strategy of smoothing or eliminating isolated abruptly changing sub-channels through time windows to avoid occasional events from damaging the overall tensor stability. If multiple sub-channels are continuously saturated at the same time, it indicates that there is strong adjacent channel blocking or the operating point of the receiving front end is not suitable. In this case, the RF gain can be reset or the observation center frequency can be changed before tensor construction can be performed. If a certain sub-channel is in a near-zero energy state for a long time, the system can retain that channel as the noise floor reference channel instead of simply deleting it, so as to maintain the structural integrity of the entire tensor. For example, at the same mountain rescue site, after the search and rescue team terminal channelized the collected broadband data, it identified several representative local spectrum regions: one frequency band corresponds to on-site command voice communication, another frequency band corresponds to drone image transmission, and yet another part only reflects the background noise of equipment and electromagnetic radiation of generators in the valley. The system combines the energy thresholds and carrier-to-noise ratios of these sub-channels into a time-domain noise floor feature vector, and uses it as the physical feature tensor for the current link establishment. Since this vector preserves the environmental contours of the local space at the rescue site, the subsequently generated encryption and modulation parameters are more easily reconstructed correctly at the receiving end. The purpose of this step is to transform the original broadband radio frequency observation results into environmental feature expressions with stable physical meaning that are easy to extract from both ends simultaneously, thereby achieving repeatable acquisition of physical layer key sources and improving the ability to resist occasional disturbances.

[0020] In a preferred embodiment of the present invention, the physical feature tensor is used as a dynamic key, and combined with the physical layer constellation phase rotation matrix and the frequency hopping sequence, the data to be transmitted is encrypted and heterogeneously modulated to generate a radio frequency transmission signal, including: determining the modulation mode hopping spectrum based on the frequency hopping sequence; The data to be transmitted is dynamically interleaved, encrypted, and modulated using the dynamic key, the physical layer constellation phase rotation matrix, and the modulation mode transition map to generate heterogeneous modulated data with dynamic environment feature codes, wherein the dynamic environment feature codes are implicitly constituted by the binding relationship between the dynamic key and the modulation mode transition map; the heterogeneous modulated data is then converted into radio frequency transmission signals and transmitted.

[0021] This embodiment provides an enhancement mechanism for heterogeneous modulation transmission. Specifically, if the transmitting end is already able to generate dynamic keys and basic transmission parameters based on the on-site environment, and a single modulation method is still used for continuous transmission, the link may still be partially distorted when there is strong co-frequency tracking interference, narrowband suppression, or periodic blocking at the rescue site. Therefore, this embodiment further introduces a modulation mode switching pattern on the transmitting side, so that the transmitted signal changes not only in frequency but also in modulation appearance, thereby enhancing blind reception matching success rate and anti-interference capability. In detail, the frequency hopping sequence provides the order of frequency access, but frequency switching itself cannot completely solve the adaptability problem under different interference patterns; for example, a certain frequency is suitable for low-order modulation to improve robustness, while another frequency can use a higher spectral efficiency modulation method because of its temporarily high signal-to-noise ratio. To this end, the system determines the modulation mode hopping spectrum based on the frequency hopping sequence, so that frequency selection and modulation style are linked. This spectrum can be understood as a time-frequency-modulation scheduling table on the transmitting side, which indicates which modulation family and corresponding phase rotation method should be used for a certain data segment at a certain frequency hopping time. The system uses dynamic keys, constellation phase rotation matrices, and modulation mode hopping spectra to dynamically interleave, encrypt, and modulate the data to be transmitted. The purpose of dynamic interleaving is to break down the spatial correlation between adjacent bits and prevent the loss of the entire service semantics when local frequency bands are damaged. The role of the dynamic key is to change the symbol mapping rules so that even if the modulation pattern is observed externally, it is still difficult to recover the real bits; the constellation phase rotation matrix is ​​responsible for further changing the directional relationship of the constellation landing points; the modulation mode jump map determines the different modulation modes used by each data segment in different time slices. Schematic, the original service bits can be divided into three segments S1, S2, and S3. The first segment uses low-order phase modulation at the first frequency hopping point, the second segment uses higher-order amplitude-phase joint modulation at the second frequency hopping point, and the third segment switches to another robust modulation at the third frequency hopping point. Since phase rotation and dynamic key perturbation are superimposed on all three segments, the resulting heterogeneous modulation data carries a dynamic environmental feature code that is bound to the electromagnetic environment of the site. The dynamic environment feature code mentioned here is not a traditional plaintext field attached to the header of the data packet, but an implicit identifier composed of the evolution characteristics of radio frequency physical layer parameters driven by the environment tensor, such as specific phase rotation combinations, frequency access order and modulation switching logic. As long as the receiving side is in the same environment and generates similar features, it can identify this implicit identifier in the blind detection process and enter the correct reverse compensation process accordingly. As an anomaly handling mechanism, if a candidate frequency point is subjected to strong and continuous interference within the current time window, the system can skip the frequency point and select a backup node in the graph without changing the overall tensor seed. If a certain modulation mode shows a significant increase in bit error rate under the current channel quality, the system can downgrade the mode to a more robust lower-order mode while retaining the original phase rotation logic to avoid complete mismatch on the receiving side. If the amount of service data is too short to support multiple mode switching, the system can use only a single modulation family and retain the environmental feature code embedding to meet the needs of fast transmission of short messages. For example, at a landslide rescue site, the search and rescue team needs to send a short message to the command vehicle stating that two trapped people have been found near the coordinates on the north side of the scree slope, along with a small amount of life detection data; The system generates three main transmission segments based on the current environment tensor: the first segment uses robust modulation to ensure fast acquisition by the receiver, the middle segment uses high-efficiency modulation at a relatively clean frequency to carry the main data, and the last segment switches back to robust modulation to complete the link confirmation information. Throughout the process, the constellation diagram is deflected according to the phase rotation method determined by the field environment. Therefore, even if some segments are intercepted from the outside, it is difficult to piece together the complete information. The purpose of this mechanism is to enable the transmitting side to have multi-dimensional linkage capabilities of frequency point change + modulation change + phase change, so as to achieve anti-interception, anti-suppression and short-time fast and reliable transmission in complex environments.

[0022] In a preferred embodiment of the present invention, the method includes: capturing radio frequency transmission signals transmitted by a transmitter in a broadband spectrum monitoring state to obtain broadband real-time data, wherein the radio frequency transmission signals are generated by the transmitter through encryption and heterogeneous modulation based on a physical feature tensor as a dynamic key; extracting physical features of the broadband real-time data, and performing convolution matching between the physical features and a receiver physical feature tensor pre-stored locally at the receiver. Calculate the correlation peak value of the convolutional matching and determine whether the correlation peak value is greater than a preset correlation threshold. If the correlation peak value is greater than the preset correlation threshold, the matching is determined to be successful, and the local carrier generator configuration is locked. If the correlation peak value is less than or equal to the preset correlation threshold, the matching is determined to be unsuccessful, and the broadband real-time data is discarded. If a match is successful, the broadband real-time data is reverse-compensated, decrypted, and demodulated based on the local carrier generator configuration and the receiver physical feature tensor to establish a communication link and complete data transmission.

[0023] This embodiment provides a blind reception link establishment mechanism for the receiver; specifically, in the aforementioned mountain landslide rescue site, the receiver captures the transmitted signal without prior signaling interaction; if it still relies on traditional fixed channel waiting, it is easy to miss the signal. Therefore, the receiver maintains broadband spectrum monitoring during normal operation, waiting for possible target signals by continuously detecting changes in the field spectrum; Specifically, the receiving end captures real-time broadband data under broadband spectrum monitoring. This monitoring is not simply energy threshold listening, but rather real-time channelization, feature extraction, and short-term buffering of the input radio frequency stream, enabling the device to quickly retrieve data from adjacent time windows recorded in the buffer after detecting a suspected target signal. The receiver extracts physical features from the broadband real-time data, such as subchannel energy profiles, burst rhythms, modulation switching traces, and constellation deflection trends, and performs convolution matching between these features and the locally pre-stored receiver physical feature tensor; specifically, the real-time data physical features are converted into a sequence to be tested, and the locally pre-stored physical feature tensor is converted into a reference sequence. Let the sequence to be tested slide along the time axis position by position along the reference sequence. At each sliding position, calculate the cumulative sum of the products of corresponding elements of the two sequences to obtain the cross-correlation value at each position. The cross-correlation values ​​at all sliding positions are traversed, and the maximum value is extracted as the correlation peak of the convolution matching. The reason for using convolution matching is that although the signal at the transmitting end is dominated by the field environment, it will still experience time shift, amplitude distortion and local frequency band damage during propagation. The convolution method is more suitable for finding the overall correlation in the presence of translation and local distortion. As a quantitative example, suppose the locally stored receiver physical feature tensor can be compressed into a sequence A=[a1, a2, a3, a4] in a certain observation window, while the candidate features extracted from the real-time data are a sequence B=[b1, b2, b3, b4]. If B has a corresponding relationship with A in the overall structure, even if a certain position deviates due to pulse interference with a duration less than the preset time window, the convolution result will still form a high correlation peak at a certain alignment position. The system determines whether the signal comes from a legitimate transmitter that is isomorphic to the local environment. If the correlation peak is higher than the preset correlation threshold, it indicates that the candidate signal is highly correlated with the local physical environment, and the receiver can lock the local carrier generator configuration, including the local oscillator center, symbol clock tracking interval, and demodulation reference range. If the relevant peak value does not reach the threshold, the signal is considered to be more likely to be emitted by other wireless services, external interference, or unrelated devices, and is therefore discarded to avoid ineffective demodulation that consumes computing power and to reduce the risk of misjudgment. Once a match is successful, the receiver performs reverse compensation, decryption, and demodulation on the broadband real-time data based on the locked local carrier generator configuration and local physical feature tensor. The so-called reverse compensation refers to using locally derived environmental control parameters to offset the effects of phase rotation, modulation switching, and frequency switching applied by the transmitter during transmission, so that the data that was originally processed by environmental binding can return to the recoverable standard bit sequence. In the event of abnormal environment or hardware overload, if the relevant peak value is near the threshold but unstable, the receiver can extend the observation window by a short time and recalculate to avoid making a misjudgment based on a single time slice; if the threshold is not exceeded for multiple consecutive windows, the current candidate buffer is cleared and the receiver returns to the normal monitoring state. If an abnormally high bit error rate is found in the subsequent demodulation stage after a successful match, it indicates that although the overall characteristics are similar, the current carrier lock may deviate from the optimal point. In this case, the local carrier generator configuration can be fine-tuned and recovery can be attempted again while retaining the matching result. If two or more candidate signals from similar environmental sources appear on site, the system can prioritize the one with the highest relevant peak value, or complete the secondary identification based on the environmental feature code in the message header. For example, in the command vehicle at the rescue site, the receiving equipment continuously monitors the spectrum and at a certain moment detects a set of abnormal signal segments with short-time frequency hopping and phase deflection characteristics; The system performs convolution matching between the energy profile extracted from the segment and the locally maintained on-site physical feature tensor, obtaining a significant correlation peak, indicating that the segment is very likely from a search and rescue team located in the same rescue area; therefore, the equipment locks the local carrier configuration and enters the reverse compensation and demodulation process, and finally recovers the coordinates and life detection data sent by the search and rescue team. The purpose of this mechanism is to enable the receiver to identify the target signal and establish the link even when the transmission time, modulation pattern and specific frequency are unknown, by relying on the environmental isomorphism. This achieves a closed-loop reception process of broadband monitoring, matching determination and blind reception demodulation.

[0024] In a preferred embodiment of the present invention, the broadband real-time data is reverse-compensated, decrypted and demodulated based on the local carrier generator configuration and the receiver physical feature tensor to establish a communication link and complete data transmission, including: detecting and identifying the broadband real-time data to output current reconnaissance parameters, wherein the current reconnaissance parameters include the current carrier-to-noise ratio and the current symbol rate; A reverse phase shift matrix is ​​generated based on the current reconnaissance parameters and the physical feature tensor of the receiving end; the reverse phase shift matrix is ​​used to perform a constellation diagram reverse phase shift operation on the broadband real-time data to compensate for channel distortion; the physical feature tensor of the receiving end is used as a decryption key to decrypt and demodulate the data after channel distortion compensation to recover the original service data of the transmitting end.

[0025] This embodiment provides a refined mechanism for the receiver to complete reverse compensation and data recovery. Specifically, although the aforementioned receiver has found the target signal by judging the relevant peak values, if it is processed directly according to fixed demodulation parameters, it may still be unable to correctly recover the original service data due to phase distortion, frequency offset, and symbol rate drift in the propagation path. Especially in mountain rescue sites, electromagnetic disturbances caused by canyon reflections, vehicle movement, and temporary power equipment can cause the constellation distribution of transmitted signals to deviate from the nominal coordinates. Therefore, this embodiment introduces a mechanism based on reconnaissance parameters and local environment tensors to generate an inverse phase shift matrix, which is used to restore the symbol geometry before demodulation. Specifically, the receiving end detects and identifies broadband real-time data and outputs current reconnaissance parameters; the reconnaissance parameters include at least the current carrier-to-noise ratio and the current symbol rate; the carrier-to-noise ratio reflects the prominence of the currently received candidate signal in the background noise and can be used to determine whether demodulation should prioritize robustness or efficiency. Symbol rate reflects the time scale used by the transmitter in the current segment, which helps to correctly recover symbol boundaries; if the receiver is regarded as a field spectrum reconnaissance and communication device, this step is essentially using its original reconnaissance capabilities to serve subsequent communication demodulation. The system generates a reverse phase shift matrix based on the current reconnaissance parameters and the receiver's physical characteristic tensor. The reverse phase shift matrix is ​​synthesized by multiplying the prior phase offset derived from the local environment tensor with the residual frequency offset compensation estimated by the reconnaissance parameters in the complex field. This matrix is ​​not set out of thin air, but is constrained by two types of information: one from the local environment tensor, used to infer the constellation deflection mode that the transmitter may apply at that time; the other from the current reconnaissance parameters, used to correct the distortion direction added during propagation. As an example of deduction: if the transmitter applies a clockwise rotation to a group of symbols based on the environment tensor, and the current reconnaissance parameters show that the segment has both a certain symbol rate drift and a decrease in carrier-to-noise ratio, then the reverse phase shift matrix generated by the receiver will preferentially perform the corresponding counterclockwise compensation, and cooperate with the corresponding symbol boundary adjustment; through this operation, the constellation distribution that was originally stretched, rotated or compressed is brought back into the decisionable region. The receiver uses an inverse phase shift matrix to perform a constellation diagram inverse phase shift operation on the broadband real-time data to compensate for channel distortion. After compensation, the local physical feature tensor is used as the decryption key to decrypt and demodulate the compensated data at the bit level. Here, bit-level demodulation means that the system maps the compensated complex symbols back to the original bit sequence and restores the data order before interleaving by combining the dynamic key; if the transmitter uses different modulation modes in different segments, the receiver completes demodulation segment by segment according to the preceding identification results and finally splices them into complete service data. As an anomaly handling mechanism, if the symbol rate estimation in the reconnaissance parameters is unstable, the system can first form trial demodulation branches in parallel on multiple candidate symbol rates, and then select the optimal branch based on the verification results. If the carrier-to-noise ratio is low, resulting in significant overlap of constellation clusters, the system can lower the modulation mode decision confidence threshold and prioritize the recovery of core fields that have been redundantly protected. If a clear constellation still cannot be formed after the reverse phase shift, it indicates that the local environment tensor has deviated significantly from the transmitting environment. In this case, the system can revert to the rematching stage to avoid outputting incorrect service information. For example, after the command vehicle receives the message from the search and rescue team, the system detects that the first half of the message is a robust modulation with a low symbol rate, and the second half is a heterogeneous modulation segment with a high symbol rate. At the same time, the current carrier-to-noise ratio is slightly lower than normal due to valley obstruction. Based on this, the equipment generates a corresponding inverse phase shift matrix, performs inverse compensation for constellation deflection, and completes decryption using the locally maintained environmental tensor. Finally, the original information is recovered that signs of life were found on the north scree slope and that demolition equipment support is needed. The purpose of this mechanism is to combine the receiver's reconnaissance and identification capabilities with its communication demodulation capabilities, thereby achieving accurate reverse compensation for environmentally bound signals and reliable service recovery.

[0026] In a preferred embodiment of the present invention, after transmitting the radio frequency transmission signal, the method further includes: real-time monitoring of the change in current ambient noise floor; determining whether the change in current ambient noise floor is greater than a preset noise floor change threshold; if the change in current ambient noise floor is greater than the preset noise floor change threshold, triggering a spectrum scaling and measurement operation, re-acquiring the radio frequency signal to generate an updated physical feature tensor, and using the updated physical feature tensor to synchronously update the physical layer constellation diagram phase rotation matrix and the frequency hopping sequence; If the change in the current environmental noise floor is less than or equal to the preset noise floor change threshold, then the current physical feature tensor remains unchanged.

[0027] This embodiment provides an adaptive update mechanism after the link is established; specifically, the aforementioned transmitting end can generate a set of effective physical feature tensors and transmission parameters based on the on-site environment at the start of link establishment, but in real rescue scenarios, the electromagnetic environment is not static. For example, the arrival of new rescue vehicles, changes in the working mode of drones, the activation of temporary lighting equipment, or the activation of high-power wireless devices in nearby areas can all cause a shift in the noise floor structure and spectrum occupancy. If the transmitter always uses the old parameters from when the link was established, the receiver can maintain demodulation for a short period of time, but in the long run, it will increase the risk of mismatch and bit errors. Therefore, this embodiment introduces a mechanism for monitoring changes in environmental noise floor and rolling updates of parameters. Specifically, after completing the first round of radio frequency transmission, the transmitting end continuously monitors the changes in the ambient noise floor. The object monitored here is not the absolute power of a single frequency point, but the overall background rise, occupancy migration, and noise texture changes of multiple sub-channels within a certain observation window. The preset noise floor change threshold can be understood as the dividing standard for the system to judge whether the current local spectral topography has changed significantly. When the change exceeds the threshold, it means that the original physical feature tensor is no longer sufficient to accurately describe the new field environment. If it is not updated, the environment key on which the sender depends and the local environment representation of the receiver will gradually deviate. Once the threshold is exceeded, the system triggers spectrum scaling and measurement operations. Spectrum scaling refers to readjusting the center or width of the observed frequency band according to the region with the most dramatic changes, so that the device can dynamically adjust the sampling weight according to the energy change rate and analyze the spectrum segment where the change in spectral power spectral density is greater than a preset ratio. After reacquiring the radio frequency signal, the device generates an updated physical feature tensor and synchronously updates the constellation diagram phase rotation matrix and frequency hopping sequence. In this way, although the link has been established, its physical layer key and transmission pattern will evolve with the field environment, forming a closed loop of environment change - tensor update - parameter synchronous refresh. As an example, suppose that in the initial stage, tensor T0 corresponds to three main spectrum hotspots, and in a later time, a high-power image transmission device is added, which significantly raises the original second hotspot and creates a new adjacent occupied area. Then the system forms a new tensor T1. The frequency hopping trajectory obtained by T0 mapping may be more biased towards the original frequency combination, while the new trajectory obtained by T1 mapping will actively avoid the new enhanced interference area; the corresponding phase rotation matrix is ​​also refreshed, so that subsequent transmission segments continue to maintain consistency with the environment. As an anomaly handling mechanism, if the change in noise floor is less than or equal to a preset threshold, the current physical feature tensor remains unchanged to avoid the system frequently reconstructing parameters under slight fluctuations, causing unnecessary synchronization burden; if the change just exceeds the threshold but the duration is less than a preset time window, the system can set a short confirmation window to avoid erroneous updates triggered by a single burst pulse. If the data to be sent reaches the highest priority during the re-collection period, such as an immediate instruction involving the transfer route of the wounded, the old tensor can be used to complete the transmission of the key short message first, and then the updated parameters can be switched at the end of the message or in the next time slot. For example, when the mountain landslide rescue was in progress, a new relay drone was added to the site to expand the image coverage, which caused the noise floor of some previously quiet frequency bands to increase significantly. The search and rescue team's terminal detected that the change in the ambient noise floor had reached the trigger condition, and then performed spectrum scaling and measurement operations to reconstruct a new physical feature tensor. The new phase rotation matrix and frequency hopping sequence were then used for subsequent message transmission. Because the update action was performed in sync with the on-site electromagnetic environment, the command vehicle terminal was more likely to maintain a matching state, and the link stability was maintained. The purpose of this mechanism is to enable the established emergency communication link to continuously track the evolution of the on-site electromagnetic environment, thereby achieving adaptive updates of dynamic keys and transmission parameters and reducing transmission mismatch caused by environmental drift.

[0028] In a preferred embodiment of the present invention, the instantaneous bandwidth supported by the analog-to-digital integrated receiver is not less than a preset bandwidth threshold, and the number of concurrent digital down-conversion baseband data streams is not less than a preset number of streams threshold.

[0029] This embodiment provides an implementation constraint mechanism oriented towards hardware capability boundaries; specifically, the aforementioned scheme relies on a holistic understanding of the local electromagnetic environment to generate physical feature tensors; if the instantaneous bandwidth is too narrow, the device can only cover a limited local area of ​​the field spectrum distribution, and the resulting tensor lacks global distinctiveness. If the number of concurrent digital downconversion channels is too small, even if broadband sampling is completed, it will not be possible to simultaneously meet the multi-subchannel observation conditions at the preset resolution, resulting in the extraction of environmental features with lower accuracy than required. Therefore, this embodiment sets lower limits on the instantaneous bandwidth and the number of concurrent digital downconversion channels of the analog-to-digital integrated receiver to ensure that the aforementioned steps have a basis for implementation. Specifically, if the instantaneous bandwidth is not lower than the preset bandwidth threshold, it means that the device can cover at least multiple major wireless services and background noise segments in the rescue site in a single observation; the environmental characteristics obtained in this way are no longer limited to the strength of a single frequency point, but can reflect the relative positional relationship and power gradient between multiple service sources. If the number of concurrent digital downconversion baseband data streams is not less than the preset threshold, it means that the system can further divide the observed broadband into a sufficient number of parallel sub-windows. Each window can independently extract energy, carrier-to-noise ratio and time evolution information; the two together determine the field of view width and observation resolution of the physical feature tensor. For ease of understanding, a simplified deduction can be made; if the system has only two concurrent digital downconversion channels, multiple service hotspots in the broadband may be mixed in the same channel, forming a rough distinction between having a signal and not having a signal, making it difficult to form a stable environment fingerprint. If the number of channels is increased to a sufficient level, multiple hotspots in the same broadband can be placed into different sub-channels, forming richer combination relationships; for example, intercom services, residual signals from image transmission, and mechanical noise that were originally mixed together can be decomposed into multiple independent observation units, thereby supporting the generation of more stable temporal noise feature vectors. As an exception handling mechanism, if the actual hardware configuration of the device is lower than the preset lower limit, the system can enter the degradation mode, only perform normal encrypted communication and do not enable the environment tensor-driven fast connection establishment, so as to avoid generating distorted tensors and causing erroneous communication. If the instantaneous bandwidth meets the requirements but the number of concurrent digital downconversion channels is insufficient, the system can use a multi-timeslot polling compensation method to form an approximate tensor. However, this will sacrifice the link establishment timeliness, so it is more suitable for non-urgent services. If the number of concurrent channels meets the requirements but the bandwidth is insufficient, the system can prioritize covering the spectrum segment where the target service is most likely to occur as a local implementation method. For example, in this mountain rescue scenario, the portable receiving terminal equipped in the command vehicle has a large instantaneous observation range, and can simultaneously see the search and rescue team's intercom, drone transmission, on-site video link and background electromagnetic noise distribution, and can divide it into multiple concurrent sub-channels; Because of this hardware observation capability, the system can form a physical feature tensor with on-site fingerprint characteristics within a single environmental sampling cycle, thereby supporting subsequent rapid chain establishment and physical layer encrypted transmission. The purpose of this mechanism is to limit this scheme to a feasible transmission system implementation by clearly defining the lower limit of hardware observation capabilities, thereby ensuring that environmental feature extraction, parameter evolution, and blind reception matching have a sufficient physical basis.

[0030] Please see Figure 2 An emergency communication link rapid establishment and data encryption transmission system includes a transmitter and a receiver. The transmitter includes: an environmental sampling module for controlling an analog-to-digital receiver to operate in a preset broadband mode to collect radio frequency signals of the current environment and extract the radio frequency signals to obtain a concurrent digital down-conversion baseband data stream; and a tensor construction module for using a polyphase filter bank to perform channelization processing on the concurrent digital down-conversion baseband data stream and extracting sub-channel energy distribution features to construct a physical feature tensor. The parameter evolution module is used to respond to the chain establishment request by reducing the dimensionality of the physical feature tensor through a preset feature hash mapping algorithm to generate a physical layer constellation phase rotation matrix and a frequency hopping sequence. The heterogeneous transmission module is used to use the physical feature tensor as a dynamic key, combined with the physical layer constellation diagram phase rotation matrix and the frequency hopping sequence, to encrypt and heterogeneously modulate the data to be transmitted to generate a radio frequency transmission signal, and to send the radio frequency transmission signal to the receiving end; The receiving end includes: a detection fitting module, used to capture the radio frequency transmission signal to obtain broadband real-time data under broadband spectrum monitoring state, extract the physical features of the broadband real-time data, perform convolution matching between the physical features and the receiving end physical feature tensor pre-stored locally, calculate the correlation peak of the convolution matching, lock the local carrier generator configuration when the correlation peak is greater than a preset correlation threshold, and determine the matching failure and discard the broadband real-time data when the correlation peak is less than or equal to the preset correlation threshold. The communication establishment module is used to perform reverse compensation, decryption, and demodulation on the broadband real-time data based on the local carrier generator configuration and the physical feature tensor of the receiving end, so as to establish a communication link and complete data transmission.

[0031] This embodiment provides an overall implementation structure for a rapid emergency communication link establishment and encrypted data transmission system. Specifically, the system still takes a mountain landslide rescue site as the main scenario, including a transmitter deployed at the front-line search and rescue team and a receiver deployed at the rear emergency command vehicle. Both ends can be implemented using a portable integrated hardware platform. Each module in the system can be implemented by an independent hardware unit or by a combination of an analog-to-digital receiver, a field-programmable logic device, a digital signal processor, and host computer software. Specifically, the environmental sampling module in the transmitting end is responsible for driving the RF front-end and analog-to-digital conversion link to collect the RF signals of the current field environment in a broadband manner and output concurrent digital down-conversion baseband data streams; after receiving these baseband data streams, the tensor construction module completes the channelization through a polyphase filter bank and extracts features such as sub-channel energy distribution, carrier-to-noise ratio and time evolution to construct a physical feature tensor that can characterize the local electromagnetic environment of the field. After receiving the link establishment trigger, the parameter evolution module performs feature mapping on the tensor and outputs the constellation diagram phase rotation matrix and frequency hopping sequence; the heterogeneous transmission module then performs dynamic interleaving, encryption and heterogeneous modulation on the service data based on these parameters, and completes the transmission link drive from baseband to radio frequency. The detection and fitting module in the receiver is normally in broadband spectrum monitoring mode, which observes all radio frequency signals entering the antenna port in real time. On the one hand, it extracts physical features from the broadband real-time data, and on the other hand, it calls the locally maintained receiver physical feature tensor to perform convolution matching. When the relevant peak values ​​meet the requirements, the detection and fitting module outputs a locking command and the current local carrier generator configuration to the communication establishment module; the communication establishment module calls the reverse compensation, decryption and segmented demodulation unit to recover the data of the successfully matched candidate signals, and finally establishes the communication link and completes the service transmission. For ease of understanding, a system-level data flow deduction can be performed; the environment sampling module at the transmitting end first outputs an initial data block, the tensor construction module compresses the initial data block into an initial environment tensor, the parameter evolution module maps the initial environment tensor into an initial parameter set, and the heterogeneous transmission module then combines the service data M with P0 to form the transmission signal R0; after the receiving end detection and fitting module captures R0 in the broadband monitoring, it extracts candidate features F0 and matches F0 with the local tensor T0'; When a match is successful, the communication establishment module generates a reverse recovery parameter Q0, which compensates and demodulates R0 to finally restore the service data M. If changes in the field environment cause the transmitter to form a new tensor T1, the system can further evolve a new parameter set P1, which can be used by the receiver in subsequent monitoring to complete the matching again using the corresponding local update tensor. As an exception handling mechanism, if any module on the sending end is temporarily unable to output a valid result, for example, if the environmental sampling module is unable to output broadband data due to front-end overload, the tensor construction module may not generate a new tensor and maintain the previous stable version. If the receiving end detection and fitting module fails to match a valid correlation peak for an extended period, the communication establishment module will not enter the demodulation process, but will keep the system in a low-power monitoring state. If any module detects a local hardware anomaly, such as excessive local oscillator drift, buffer overflow, or RF link disconnection, the system can output a fault status to the host computer, prompting manual switching to backup equipment or adjustment of deployment location. For example, in the entire process of earthquake mountain rescue, the front-line search and rescue team collects the on-site spectrum environment through the transmitter and generates an environmental tensor, and packages and sends out the coordinates of the injured and the on-site status; the rear command vehicle identifies the isomorphic relationship between the signal and the local environment through broadband monitoring at the receiver, locks the carrier and recovers the original message; When the addition of drones and temporary power generation equipment on site causes changes in the spectrum structure, the transmitter and receiver can continue to maintain communication based on the updated environmental tensor. This system achieves rapid connection establishment and encrypted transmission based on environmental fingerprints without the need for traditional high-level handshake protocols through the timing coordination between modules. The purpose of this system is to implement a complete process, including environmental awareness, parameter evolution, heterogeneous transmission at the transmitting end and broadband monitoring, detection fitting, and communication establishment at the receiving end, using modular hardware and signal processing links, so as to achieve rapid link establishment and encrypted data transmission suitable for complex emergency sites.

[0032] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for rapid establishment and encrypted data transmission of an emergency communication link, applied at the sending end, characterized in that, include: The analog-to-digital integrated receiver is controlled to operate in a preset broadband mode to collect radio frequency signals of the current environment, and the radio frequency signals are extracted to obtain concurrent digital down-conversion baseband data streams; Extract the sub-channel energy distribution features of the concurrent digital down-conversion baseband data stream to construct a third-order physical feature tensor consisting of sub-channel index, time slice index, and feature type; In response to the chain establishment request, the physical feature tensor is reduced in dimension and mapped using a preset feature hash mapping algorithm to generate a physical layer constellation phase rotation matrix and a frequency hopping sequence; The physical feature tensor is used as a dynamic key, combined with the phase rotation matrix of the physical layer constellation diagram and the frequency hopping sequence, to encrypt and heterogeneously modulate the data to be transmitted to generate a radio frequency transmission signal, and the radio frequency transmission signal is sent to the receiving end so that the receiving end can match, decrypt and demodulate the radio frequency transmission signal based on the locally pre-stored physical feature tensor.

2. The method for rapid establishment and encrypted data transmission of an emergency communication link according to claim 1, characterized in that, The step of extracting the sub-channel energy distribution features of the concurrent digital down-conversion baseband data stream to construct a third-order physical feature tensor consisting of sub-channel index, time slice index, and feature type includes: The concurrent digital downconversion baseband data stream is channelized using a multiphase filter bank and divided into multiple sub-channels. The instantaneous energy value sequence of the multi-channel sub-channel is calculated, the energy value at the preset minimum quantile is extracted as the noise floor energy estimate, and the noise floor energy estimate is multiplied by a preset coefficient to obtain the energy threshold of the multi-channel sub-channel. The ratio of the maximum energy peak in the instantaneous energy value sequence to the noise floor energy estimate is converted into the carrier-to-noise ratio. The energy threshold and the carrier-to-noise ratio are mapped to a time-domain noise floor feature vector. Multiple time-domain noise floor feature vectors are combined in chronological order to form the third-order physical feature tensor.

3. The method for rapid establishment and encrypted data transmission of an emergency communication link according to claim 1, characterized in that, The step of using the physical feature tensor as a dynamic key, combined with the physical layer constellation phase rotation matrix and the frequency hopping sequence, to encrypt and heterogeneously modulate the data to be transmitted to generate a radio frequency transmission signal includes: The modulation mode hopping pattern is determined based on the frequency hopping sequence; The data to be transmitted is dynamically interleaved, encrypted, and modulated using the dynamic key, the physical layer constellation phase rotation matrix, and the modulation mode transition map to generate heterogeneous modulated data with dynamic environment feature codes, wherein the dynamic environment feature codes are implicitly constituted by the binding relationship between the dynamic key and the modulation mode transition map; the heterogeneous modulated data is then converted into radio frequency transmission signals and transmitted.

4. The method for rapid establishment and encrypted data transmission of an emergency communication link according to claim 1, applied at the receiving end, is characterized in that, include: In broadband spectrum monitoring, the radio frequency transmission signal transmitted by the transmitter is captured to obtain broadband real-time data. The radio frequency transmission signal is generated by the transmitter through encryption and heterogeneous modulation based on the physical feature tensor as a dynamic key. Extract the physical features of the broadband real-time data, and perform convolution matching between the physical features and the physical feature tensor pre-stored locally at the receiving end; Calculate the correlation peak value of the convolutional matching and determine whether the correlation peak value is greater than a preset correlation threshold; if the correlation peak value is greater than the preset correlation threshold, the matching is determined to be successful and the local carrier generator configuration is locked. If the relevant peak value is less than or equal to the preset relevant threshold, the matching is determined to be unsuccessful and the broadband real-time data is discarded; if the matching is successful, the broadband real-time data is reverse-compensated, decrypted and demodulated based on the local carrier generator configuration and the physical feature tensor to establish a communication link and complete data transmission.

5. The method for rapid establishment and encrypted data transmission of an emergency communication link according to claim 4, characterized in that, The process of performing reverse compensation, decryption, and demodulation on the broadband real-time data based on the local carrier generator configuration and the physical feature tensor to establish a communication link and complete data transmission includes: The broadband real-time data is detected and identified to output current reconnaissance parameters, which include the current carrier-to-noise ratio and the current symbol rate. A reverse phase shift matrix is ​​generated based on the current reconnaissance parameters and the physical feature tensor; the reverse phase shift matrix is ​​then used to perform a constellation diagram reverse phase shift operation on the broadband real-time data to compensate for channel distortion. Using the physical feature tensor as a decryption key, the data after the channel distortion is compensated is decrypted and demodulated at the bit level to recover the original service data of the transmitting end.

6. The method for rapid establishment and encrypted data transmission of an emergency communication link according to claim 1, characterized in that, After transmitting the radio frequency signal, the method further includes: real-time monitoring of changes in the ambient noise floor; Determine whether the change in the current ambient noise floor is greater than a preset noise floor change threshold; if the change in the current ambient noise floor is greater than the preset noise floor change threshold, trigger spectrum scaling and measurement operations, reacquire radio frequency signals to generate an updated physical feature tensor, and use the updated physical feature tensor to synchronously update the physical layer constellation diagram phase rotation matrix and the frequency hopping sequence; If the change in the current environmental noise floor is less than or equal to the preset noise floor change threshold, then the current physical feature tensor remains unchanged.

7. The method for rapid establishment and encrypted data transmission of an emergency communication link according to claim 1, characterized in that, The instantaneous bandwidth supported by the analog-to-digital integrated receiver is not less than a preset bandwidth threshold, and the number of concurrent digital down-conversion baseband data streams is not less than a preset number of streams threshold.

8. An emergency communication link rapid establishment and data encryption transmission system, comprising a transmitting end and a receiving end, wherein the transmitting end is used to perform the method as described in any one of claims 1-3, and the receiving end is used to perform the method as described in any one of claims 4-7, characterized in that: The sending end includes: An environmental sampling module is used to control the analog-to-digital receiver to operate in a preset broadband mode to collect radio frequency signals of the current environment, and extract the radio frequency signals to obtain concurrent digital down-conversion baseband data streams; Tensor construction module is used to perform channelization processing on the concurrent digital downconversion baseband data stream using a multiphase filter bank, and extract sub-channel energy distribution features to construct physical feature tensors. The parameter evolution module is used to respond to the chain establishment request by reducing the dimensionality of the physical feature tensor through a preset feature hash mapping algorithm to generate a physical layer constellation phase rotation matrix and a frequency hopping sequence. The heterogeneous transmission module is used to use the physical feature tensor as a dynamic key, combined with the physical layer constellation diagram phase rotation matrix and the frequency hopping sequence, to encrypt and heterogeneously modulate the data to be transmitted to generate a radio frequency transmission signal, and to send the radio frequency transmission signal to the receiving end; The receiving end includes: The detection and fitting module is used to capture the radio frequency transmission signal under broadband spectrum monitoring state to obtain broadband real-time data, extract the physical features of the broadband real-time data, and perform convolution matching between the physical features and the receiver physical feature tensor pre-stored locally at the receiver, calculate the correlation peak of the convolution matching, lock the local carrier generator configuration when the correlation peak is greater than a preset correlation threshold, and determine the matching failure and discard the broadband real-time data when the correlation peak is less than or equal to the preset correlation threshold. The communication establishment module is used to perform reverse compensation, decryption, and demodulation on the broadband real-time data based on the local carrier generator configuration and the physical feature tensor of the receiving end, so as to establish a communication link and complete data transmission.

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