96 results about "Artificial noise" patented technology

The invention relates to an electric power communication system optimization technology, in particular to a physical layer security optimization method and equipment for a full-duplex multicarrier power line communication system, and the method combines a full-duplex technology and a time domain artificial noise auxiliary security strategy to construct a multicarrier power line communication system model with a relay; generating a safety rate maximization problem, designing a set of convex approximation method, and performing conversion and simplification of a non-convex optimization problem; designing an iterative solution algorithm, and jointly optimizing the confidential data of the source node, the confidential data of the relay node and the artificial noise power distribution matrix; and optimizing the physical layer safety performance of the full-duplex multi-carrier power line communication system based on the solved power distribution matrix. According to the communication scheme and the solved power distribution vector, the safety performance of the power line communication system is optimized, the limitation of the number of power transmission cables in the power line communication system is avoided, the safety rate maximization of the total transmitting power domain can be realized, and the technical problem that data in an existing multi-hop power line communication system is prone to leakage is solved.

The invention discloses a finite block length secure transmission method and system based on communication perception integration, and relates to the technical field of communication. Comprising the following steps: S1, constructing a system model, determining an optimization problem, analyzing a safe transmission rate capable of reaching a limited block length, and constructing a safe rate maximization problem; s2, designing an optimization scheme: decomposing the non-convex optimization problem in the S1 into three sub-problems, namely uplink transmission power distribution of IoE equipment, sensing signal design and joint sensing and communication receiving beam forming optimization, converting each sub-problem into a solvable convex optimization problem, and respectively solving the solvable convex optimization problem, and obtaining the solution of the original problem through an alternate iteration method until the algorithm converges or reaches the maximum iteration times. According to the method, a potential threat source is identified more accurately by utilizing a sensing data auxiliary system, and the technologies of beam forming, artificial noise and the like are utilized, so that the secure transmission between legal users is ensured, the quality of a received signal of an eavesdropper is reduced, and the secure fusion of a communication function and a sensing function is realized.

Methods, systems, and devices for wireless communications are described. A wireless device may receive scheduling information that schedules temporally overlapping transmissions by the wireless device of a data signal and an additional signal, where the additional signal includes an artificial noise signal, an energy signal associated with an energy-harvesting device, or both. The wireless device may then align a starting symbol of the additional signal with a starting symbol of the data signal based on the data signal and the additional signal being scheduled to temporally overlap, and may transmit the data signal and the additional signal based on the aligning.

The invention relates to the technical field of wireless communication, and discloses a data encryption transmission method, a decryption method, communication equipment and a storage medium. The method comprises the following steps: encrypting original channel data by using a target security key to obtain ciphertext channel data; performing random beam forming processing on the ciphertext channel data to obtain target channel data with artificial noise; wherein the artificial noise is determined based on a target angle between the base station and the target equipment, and a target security key is stored in the target equipment; sending the target channel data to a target device at the target angle, so that the target device decrypts the target channel data by using the target security key; wherein no artificial noise exists on the target equipment. Therefore, through a dual encryption method, the eavesdropping success rate is remarkably reduced, and the data confidentiality and the anti-attack capability of a wireless link are effectively improved.

A hidden communication method for confronting a full-duplex eavesdropper based on probability transmission in symbiotic radio comprises the following steps: constructing a system model which comprises a main transmitter Alice, a main receiver Bob, an auxiliary transmitter BD and a full-duplex eavesdropper Willie; the main transmitter Alice selectively transmits information according to a link channel state with the main receiver Bob; when the channel gain # imgabs0 # of a legal link is greater than a preset threshold value delta, the information is transmitted; otherwise, the information is not transmitted; the auxiliary transmitter BD secretly sends confidential information to the main receiver Bob through a reflection link by using the transmission behavior of the main transmitter Alice, and the full-duplex eavesdropper Willie works in a full-duplex mode and simultaneously sends artificial noise to interfere legal communication and eavesdrop. The technical problem to be solved by the invention is to provide the hidden communication method for confronting the full-duplex eavesdropper based on probability transmission in the symbiotic radio, the strong eavesdropper is confronted by using the uncertainty of link information, and the detection performance and the concealment performance of the eavesdropper are comprehensively analyzed.

The invention discloses a hybrid beam forming method for a communication perception integrated system, and belongs to the technical field of wireless communication. According to the invention, the problem of poor communication security of the traditional ISAC system is solved. According to the method, the sensing signal is endowed with an artificial noise function, so that the eavesdropping process of a potential eavesdropper is effectively interfered on the premise of not reducing the sensing precision, safety communication in a communication sensing integrated system is realized, and the problem of information leakage possibly caused by the direction of a sensing beam is solved; by means of the hybrid beam forming design of communication signals and sensing signals, high-precision target sensing can be achieved in a communication sensing integrated system, meanwhile, safe communication with a cooperative target is guaranteed, by designing a dynamic sub-array division method, the mapping relation between an antenna and a radio frequency chain can be adjusted according to the change of the safety rate, and the communication sensing efficiency is improved. Airspace resources are effectively utilized; and bidirectional matching of the safety rate and the beam forming design is realized. The method can be applied to beam forming of a communication perception integrated system.

The present application provides a communication method and an apparatus. The method comprises: on the basis of a first noise signal, a first device generates a first signal, the first signal being used for sensing or ranging between the first device and a second device, and the first noise signal being used for encrypting the sensing or ranging; and the first device sends the first signal to the second device. In the method, the first device generates a sensing or ranging signal having artificial noise, so that only a specified receiving end (second device) can accurately obtain sensing or ranging information, while if receiving the sensing or ranging signal sent by the first device, other devices cannot calculate the correct sensing or ranging information. Thus, the security of wireless sensing or ranging is improved.

The invention discloses an active monitoring method based on short packet communication, and the method comprises the steps: firstly, building a communication system model which comprises monitoring equipment, a target transmitting end and a target receiving end, transmitting a power-adjustable artificial noise signal by the monitoring equipment, and actively interfering a communication link between the target transmitting end and the target receiving end; then, an optimization problem is established by taking maximization of the average effective monitoring rate of monitoring equipment as an optimization target, and meanwhile, the condition that the average decoding error rate of a target receiving end is maintained at a preset target value is taken as a constraint condition; and finally, solving an optimization problem, determining an optimal transmission rate and corresponding artificial noise transmitting power, and guiding monitoring equipment to perform optimal active monitoring. On the premise of ensuring the communication quality of the target link, a more favorable channel condition is created for the monitoring party, and the monitoring performance is remarkably improved compared with the traditional interference-free passive monitoring scheme and the active monitoring scheme with fixed interference power.

The application discloses a beamforming method of an RIS-aided NOMA-ISAC system against internal and external eavesdropping, which optimizes the transmitting beam of the base station and the phase shift matrix of the RIS intelligently, ensures that the radar sensing requirement is met under the condition of limited energy resources, effectively resists potential internal and external eavesdropping attacks, and thus significantly improves the safe communication performance of the system legal users. Specifically, the method ingeniously uses the radar signal of the base station, performs the radar target sensing task while interfering potential eavesdroppers with the radar signal as artificial noise, and realizes the dual functions of target sensing and safe communication. However, since the optimization problem of minimizing the system legal signal power has non-convex constraints, it is difficult to solve directly, therefore the original problem is decomposed into three sub-problems, and then the semi-positive relaxation technology is used to convert the sub-problems into convex optimization problems, and finally the CVX toolbox is used for alternating optimization solution, which effectively reduces the complexity of the problem and improves the calculation efficiency.

The present invention discloses a MIMO full-duplex secure communication parameter optimization method, an optimization device, and a communication method based on the optimized parameter setting. The parameter optimization method constructs transmission signals of Alice and Bob, adds artificial noise thereto, and performs power allocation and dimension allocation on the effective signal and the artificial noise according to decision variables. At the same time, based on the singular value decomposition of the channel, a specific expression form of the effective signal and the artificial noise is constructed. MIMO full-duplex communication is performed with the constructed transmission signal, and the received signal of each end is obtained. The optimal power allocation coefficient, power allocation matrix, and signal dimension are obtained with the goal of maximizing the system average confidentiality rate. Communication is performed based on the optimized parameters, and the confidentiality performance of the MIMO full-duplex communication system can be improved from the physical layer.

The invention discloses a vehicle task unloading method for known potential eavesdropping vehicle CSI, and belongs to the technical field of communication. In order to solve the problem that sensitive information of a task vehicle may be leaked due to potential eavesdropping behaviors of surrounding vehicles in a scene in which channel state information (CSI) in a system is known, the invention provides a vehicle task unloading method for a known potential eavesdropping vehicle (CSI). According to the method, an artificial noise-assisted adaptive eavesdropping coding technology is adopted, the artificial noise power and the transmitting direction of a base station and the transmitting power of a task vehicle are dynamically adjusted according to the real-time position of a vehicle in a system, wireless channel state information (CSI) and task time delay constraint, and the signal-to-noise ratio of a potential eavesdropping vehicle channel is deteriorated, so that the real-time position of the vehicle is determined. The capacity of an eavesdropping channel is reduced, and the system energy consumption required by task unloading is minimized on the basis of ensuring safe task unloading by increasing the legal channel capacity of a task vehicle and improving the secrecy rate.

The present application provides a method for realizing covert information transmission in a power line network, comprising the following steps: a transmitter prepares covert information to be transmitted to a receiver; the transmitter uses a determined transmission power to send the covert information to the receiver via the power line network; while receiving the transmitter signal, the receiver generates and transmits artificial noise to interfere with the eavesdropper's monitoring; the eavesdropper's false detection probability is evaluated to ensure that the eavesdropper cannot accurately determine whether the transmitter is transmitting information; on the premise of meeting the concealment requirements, the transmitter and receiver maximize the receiver's covert information reception rate by adjusting the transmission power; the covert interruption probability when the receiver receives the signal is analyzed and the concealment is evaluated, and based on the analysis and evaluation results, the system parameters are adjusted to optimize the covert transmission performance; the receiver decodes the received signal to recover the covert information sent by the transmitter; and the integrity and accuracy of the information received by the receiver are verified.

The invention discloses a high-spectral-efficiency secure transmission method based on orthogonal time-frequency air conditioning, which is applied to an OTFS-NOMA wireless transmission system and comprises the following steps: constructing a time domain signal sending model of a base station for a primary user and a secondary user; the time domain transmission signal model comprises transmission beam forming vectors of a primary user and a secondary user, and a spatial selective artificial noise vector is introduced; wherein the artificial noise vector is constructed by using a semi-unitary matrix and a random vector obeying Gaussian distribution; constructing a system secrecy rate; constructing an optimization problem by taking system secrecy rate maximization as a principle; solving the optimization problem to obtain transmitted beam forming vectors of the primary user and the secondary user and a numerical solution of a covariance matrix, and determining a value of an artificial noise vector based on the numerical solution of the covariance matrix; and the base station generates a time domain sending signal by using the solved transmitted beam forming vector and artificial noise vector of the primary user and the secondary user and sends the signal to the primary user and the secondary user.

The invention belongs to the technical field of wireless communication and federated learning, and discloses a secure communication and resource optimization method based on adaptive federated learning, which realizes secure transmission with low complexity and low resource overhead by using the randomness of a wireless channel and the channel quality difference between a target channel and an eavesdropping channel through a physical layer security technology. Meanwhile, the quantization bit number is dynamically adjusted in combination with an adaptive quantization technology, and the parameter transmission quantity is remarkably reduced on the premise of ensuring the model precision, so that the gradient transmission delay is reduced. The invention further provides a power distribution algorithm, the secrecy rate of the minimum equipment is maximized by sending artificial noise to an eavesdropper, and the system performance is further optimized. A simulation experiment verifies that the security and the transmission efficiency of the federated learning system can be effectively improved, the uploading time delay is remarkably reduced while the model precision is ensured, and the method is particularly suitable for bandwidth-limited scenes such as satellite communication and the Internet of Things (IoT).

A wireless device (1002) may receive a set of positioning signals (1024). The wireless device may measure (1026) a set of positioning signals based on at least one of the plurality of sparse pilot masks or the plurality of artificial noise signals. The wireless device may output (1036) the measured set of positioning signals for training a positioning model. The wireless device may output the measured set of positioning signals for training a positioning model by training a positioning model at the wireless device based on the measured set of positioning signals, or may send the measured set of positioning signals to a training entity for training a positioning model. The training entity may train a positioning model based on the measured set of positioning signals. The wireless device may include a user equipment (UE) or a network node.

Provided is a combined de-aliasing method of one-way wave equation modeling in a frequency-wavenumber domain. 1, nonphysical signal distortion or artificial noise resulting from a folding effect of Fourier transform and undersampling of Fourier transform and improper mathematical operations of numerical truncation or singular value generation from numerical calculation is eliminated in both of a frequency-wavenumber domain and a spatio-temporal domain; and a specific technical solution includes the following steps: step 1, eliminating singular-value aliasing; step 2, eliminating an artificial boundary noise; step 3, eliminating a Fourier folding effect; and step 4, outputting a correct one-way wave equation after eliminating the aliasing. The combined de-aliasing method of one-way wave equation modeling in a frequency-wavenumber domain involves a reasonable denoising technique, is especially aimed at a one-way wave equation modeling equation in an acoustic medium, and can be extended to elastic mediums and viscoelastic mediums.

This invention discloses a secure communication method for eavesdropping on NOMA networks based on artificial noise. In the first time slot, the source user transmits a NOMA signal. The relay user selected according to the maximum-minimum relay selection scheme transmits artificial noise signals to interfere with the eavesdropping user while receiving the signal. In the second time slot, the selected relay user XORs the decoded signal with the artificial noise from the first time slot, reconstructs the signal, and transmits it. The source user also transmits artificial noise to interfere with the eavesdropping user. Each user calculates the required signal-to-noise ratio (SNR) or signal-to-interference-plus-noise ratio (SINR) and the corresponding interruption probability and eavesdropping probability. This invention combines artificial noise, relay cooperation, and one-time pad technology to construct a secure communication scheme. This scheme ensures that the eavesdropping user has only one chance to directly intercept the legitimate user's signal, while in traditional secure communication schemes, the eavesdropping user can directly obtain the source user's signal twice. Therefore, this invention effectively enhances the physical layer security of cooperative NOMA networks.

The invention discloses a rapid high-precision diffusion inversion method and system based on self-supervised learning. The method comprises an initial image potential variable acquisition step, an initial noise estimation acquisition step, a noise prediction step based on a double-branch network structure reverse model and a pseudo noise label prediction step. According to the method, a double-branch architecture design is adopted, global prior of a pre-training diffusion model and fine-grained optimization of image correction branches are combined, and the reconstruction precision is improved through a residual fusion mechanism; through a self-supervised inversion loss function and a pseudo-annotation generation strategy, effective mapping of an image and noise is realized under the condition of no artificial noise annotation; a multi-scale course learning strategy is introduced, so that the model can gradually master the dynamic characteristics of the diffusion process, and the training stability and generalization ability are enhanced; and meanwhile, the number of layers is only increased for an image correction branch in an expansion mechanism, so that the model capacity is improved without damaging diffusion prior, and convergence stability is ensured.

The invention discloses a hidden measurement and control device and method based on distributed cooperative beam forming, and belongs to the technical field of satellite hidden measurement and control, and the device comprises a demodulation receiving unit of a measurement and control terminal, a measurement and control service function unit, an inter-satellite link unit, a modulation transmitting unit, a decision scheduling unit, a service flow selection unit and a parameter design unit. According to the method, the inherent advantages of the distributed satellite array are utilized for cooperation, the beam forming technology is utilized from the airspace angle to achieve radiation capability enhancement in the legal measurement and control station direction, energy blanking is achieved in the enemy reconnaissance system direction, artificial noise is introduced into a beam forming vector, the concealment performance of the system is further enhanced, and the system performance is improved. The threat that a satellite downlink measurement and control system is easily interfered and intercepted is solved, and the safety of a measurement and control link is ensured.

The present invention discloses a secure communication method for a full-duplex wireless energy-carrying network assisted by an intelligent reflector. The method comprises the following steps: adding full-duplex wireless energy-carrying users to a wireless communication network model assisted by an intelligent reflector to construct a full-duplex user-cooperative intelligent reflector-assisted wireless energy-carrying network model; establishing a mathematical model for the optimization problem based on the energy of the transmitter and users, the phase shift of the intelligent reflector, and the security rate at the legitimate user; and maximizing the security rate of the legitimate receiver by jointly optimizing the transmitter's transmit beamforming vector, the phase shift matrix of the intelligent reflector, and the power of the artificial noise signal transmitted by the legitimate receiver. This method can effectively improve the quality of service for the legitimate receiver and ensure the security of the network's physical layer.

The application discloses a multi-source heterogeneous data adaptive weighting optimization method based on uncertainty, and is a multi-source adaptive weighting optimization method combining Bayesian uncertainty modeling and joint discrimination strategy. In the multi-source heterogeneous data scene which is not sensitive to training loss change, the application introduces uncertainty as the core basis for source-level reliability discrimination, and realizes adaptive adjustment of the multi-source data training weight through a joint discrimination mechanism of loss and uncertainty and a time dynamic parameter control strategy. Without relying on artificial noise labeling or prior reliability information, the method can automatically identify high-noise or distribution mismatch data sources, effectively suppress the gradient contribution of the data sources on the premise of ensuring the stability of model training, and thus improves the overall robustness and generalization performance in the multi-source training environment.

The invention discloses a shore ship adaptive communication method, system and device based on reconfigurable intelligent surface assistance, and relates to the technical field of communication and deep reinforcement learning. The method comprises the following steps: determining a target equivalent channel, an eavesdropping equivalent channel and a diagonal phase shift matrix to be optimized according to a first RIS phased array and a second RIS phased array; determining a base station channel and a superposition channel according to the diagonal phase shift matrix to be optimized, the target equivalent channel and the eavesdropping equivalent channel; determining a total safety rate according to the to-be-optimized beam forming vector and transmission data of the second base station, the to-be-optimized artificial noise vector of the first base station, a base station channel and a superposition channel; constructing constraint conditions according to the maximum transmitting power of the first base station, the to-be-optimized beam forming vector, the to-be-optimized artificial noise vector and the to-be-optimized diagonal phase shift matrix; and based on a multi-strategy value network fusion algorithm, solving a target optimization result by taking the maximum total safety rate as a target and taking a constraint condition as a constraint.

The invention discloses a safety optimization method for an STAR-RIS auxiliary integrated common inductance and energy transfer system. The method mainly comprises the steps that S1, the STAR-RIS auxiliary multi-input single-output integrated common inductance and energy transfer system is constructed; s2, according to the communication scene, one IOT device is located in the STAR-RIS reflection area, and the base station transmits information to the IOT device through the straight-through link and the STAR-RIS reflection link. The sensing scene is that a target is located in a building, the signal intensity of a straight-through link is ignored, and the target is sensed only through an STAR-RIS transmission link; and S3, under the condition that the total emission energy of the base station is limited, constructing an optimization equation for maximizing the safety rate of the system. Performing decoupling optimization solution on active beam forming, artificial noise and STAR-RIS phase shift parameters of the base station based on an alternating optimization algorithm; s4, optimizing active beam forming and artificial noise of the base station; and S5, the STAR-RIS phase shift parameter is solved. According to the invention, the security of a communication system can be obviously improved.

The invention relates to a manual noise reduction intelligent door and window system, and belongs to the technical field of intelligent doors and windows. The manual noise reduction intelligent door and window system comprises an outer frame, a window sash is hinged to the inner side of the outer frame, a positioning groove is formed in the surface of the window sash, and an intelligent noise reduction mechanism connected with the positioning groove in a clamped mode is installed in the outer frame in an embedded mode; the intelligent noise reduction mechanism comprises an annular frame embedded in the inner side of the outer frame, and an annular groove communicating with the positioning groove is formed in the inner side of the annular frame; external noise is collected in real time through the microphone, a built-in AI chip of the Internet of Things microcontroller analyzes noise spectrum and phase and generates reverse interference sound, and the loudspeaker emits sound waves to the noise direction for interference offset, so that structural sound transmission caused by vibration is effectively inhibited, and the problem that the resonance efficiency of an existing door and window sound barrier is remarkably reduced is solved. And the active noise reduction capability is improved.

The invention discloses a general inductance integrated waveform design method for realizing physical layer security and target perception of an RSMA system. According to the invention, the base station mainly adopts the RSMA public signal and the artificial noise signal to cooperatively serve as the sensing signal so as to realize target sensing. In the aspect of perception, estimation of azimuth angles and reflection coefficients is mainly carried out, and Cramer-Rao bound is adopted for representation. For a communication link of a known eavesdropper, optimization design is carried out on an emission matrix by taking maximization of a safety rate and safety capacity as a target, and for the condition that an eavesdropper channel is unknown, optimization design is carried out on an emission vector by taking minimization of energy required by communication and perception as a target. Firstly, an optimization problem conforming to a scene is constructed, then, an original problem is converted into a convex problem based on an SCA method, rank 1 constraint is converted into a penalty function in an optimization target, finally, an iterative method is adopted for solving, and eigenvalue decomposition is performed on an optimization solution conforming to conditions to obtain emission vectors. Compared with a mode of sensing by adopting a proprietary sensing signal and an RSMA public signal, the method provided by the invention has better safety energy efficiency on the premise of ensuring safe transmission.

The present invention proposes a new radar pulse signal concealment method based on artificial noise that is resistant to detection and sorting. Before transmitting the signal, by making full use of the directional characteristics of the channel, artificial noise designed based on the directional characteristics of the channel is cleverly superimposed on the radar pulse waveform to be transmitted, and the superimposed artificial noise does not cause any disturbance to the radar pulse waveform transmitted by the own party. Finally, by controlling the power ratio of the artificial noise and the own radar pulse signal, a compromise optimization between the own detection performance and the third-party pulse detection probability can be achieved, effectively reducing the detection probability of the radar signal by the third-party receiver and achieving anti-detection performance; by designing and optimizing the parameters of the random overlap of the time domain artificial noise and the radar signal, the PRI, pulse width, TOA and other parameters of the radar signal can be accurately concealed, thereby disrupting the reconnaissance receiver from forming the correct pulse description word PDW, thereby achieving the anti-sorting and waveform concealment capabilities of the radar pulse signal with the lowest cost-effectiveness.

The invention discloses an unmanned aerial vehicle safety communication integration method based on dual-function artificial noise, which is used for solving the defects that the existing unmanned aerial vehicle safety communication depends on third-party node channel information, and the traditional optimization method is complex in calculation, easy to sink into local optimum and lack of long-term planning capability. A communication unmanned aerial vehicle equipped with a uniform planar array is adopted, and difunctional artificial noise is emitted when serving ground legal users, so that on one hand, third-party nodes are interfered, and on the other hand, noise echoes are used for sensing and tracking the positions of the third-party nodes. In order to solve a high-dimensional non-convex joint optimization problem, deep reinforcement learning is introduced, unmanned aerial vehicle trajectory planning, beam forming and user scheduling are modeled as a Markov decision process, and an intelligent agent is enabled to maximize an optimal strategy of long-term accumulation rewards through environment interaction learning. According to the method, the safety rate and the sensing performance of the system can be remarkably improved in an unknown environment, good robustness and real-time decision-making capability are achieved, and an effective scheme is provided for unmanned aerial vehicle safety communication in a complex scene.

A first electronic device for performing channel sounding includes a transceiver configured to communicate with a second electronic device, one or more processors, and memory. The memory is configured to store instructions that, when executed by one or more processors, cause the first electronic device to receive a channel sounding signal generated from the second electronic device based on a sounding sequence and artificial noise symbols, subtract artificial noise symbols from the channel sounding signal to reconstruct the sounding sequence, calculate a travel time between the first electronic device and the second electronic device based on the sounding sequence, and determine a distance between the first electronic device and the second electronic device based on the travel time.

The invention provides a low-altitude electromagnetic spectrum suppression region cooperation method with a pass key, and the method comprises the steps: compiling the pass key, carrying out the full-band suppression of a key protection low-airspace through the combination of the pass key, constructing a special channel, carrying out the noise camouflage of the special channel, and enabling a security part unmanned plane to pass through the pass key and an artificial noise sequence. And communication with a security control system and other security party unmanned aerial vehicles is realized in a special channel. According to the method, the security party unmanned aerial vehicle can realize hidden and reliable cooperative communication under full-band suppression, meanwhile, the communication capability of the intruder unmanned aerial vehicle is effectively rejected, a dynamic secret key mechanism guarantees communication security, noise injection guarantees channel concealment, and the communication efficiency is improved. According to the scheme, the communication guarantee and cooperative combat capability of a low-airspace security task in a complex electromagnetic environment is remarkably improved, and the method has important actual combat value.