347 results about "Non orthogonal" patented technology

The invention discloses a method for realizing data communication by a multi-band adaptive antenna based on 5G communication. The method comprises the steps of dynamic sensing and multi-mode signal fusion, multi-band intelligent analysis, hybrid beam forming and dynamic reconstruction, cross-layer parameter joint tuning, real-time monitoring and self-learning compensation, multi-band adaptive switching and fault diagnosis and error calculation. The problems that in traditional 5G communication, the antenna frequency band is fixed, the beam adjusting capacity is limited, the anti-interference performance is poor, and the communication performance is unstable in a complex environment are solved. According to the method, the channel state is accurately evaluated and predicted through fusion of the extended Kalman filtering algorithm and the convolutional neural network, and frequency band resources are intelligently allocated and optimized through the deep Q network DQN and the non-orthogonal multiple access NOMA principle, so that omnibearing optimization and management of the antenna are realized, the communication efficiency and stability are improved, and the method is suitable for large-scale popularization and application. And the efficient and stable operation of the communication system in various complex environments is ensured.

The invention provides an AmBC-NOMA communication resource joint optimization method for a high mobility V2X scene, and relates to the technical field of communication resource joint optimization. Aiming at channel dynamic change caused by high-speed motion of a vehicle and the influence of the channel dynamic change on short packet communication reliability and rate performance, the method combines reflection type communication and non-orthogonal multiple access technologies, and on the basis of fully considering channel time-varying characteristics, a reflection coefficient, a power distribution coefficient and block length resource distribution in a system are jointly optimized, so that the reliability and the rate performance of short packet communication are improved. Therefore, the communication rate performance and the resource utilization efficiency under the requirements of short time delay and low error rate are improved. Through the method, the short packet transmission rate of the system can be remarkably improved under the conditions of limited time delay and channel uncertainty, and the actual application requirements of the future Internet of Vehicles system for efficient, low-time-delay and high-reliability short packet communication are met.

The invention relates to the technical field of microwave communication, and discloses a microwave communication data transmission method, which comprises the following steps: S1, sensing real-time rainfall intensity and atmospheric turbulence intensity parameters through combination of a multi-band radar and a meteorological sensor; s2, establishing a fractional order random channel model of a rainfall and turbulence coupling effect; s3, generating a dynamic coded modulation control strategy based on deep fractional order reinforcement learning; s4, optimizing a programmable metasurface reflection coefficient matrix according to the dynamic coded modulation control strategy and a channel state to reconstruct an electromagnetic propagation path; s5, executing power-codebook joint optimization of space-time coding and non-orthogonal multiple access; and S6, the system stability is monitored on line, and a degradation fault-tolerant mechanism is triggered. According to the invention, a Ku / W dual-band radar and meteorological sensor variational Kalman fusion technical scheme is adopted, and compared with a single-band radar or sparse meteorological station isolated observation scheme in the prior art, the problem of signal sudden drop misjudgment in a rainstorm scene is solved.

The invention provides an anti-interference sound signal data extraction method based on energy data perception, and belongs to the technical field of underwater sound signal processing, and the method comprises the steps: carrying out the A / D sampling and digital orthogonal demodulation of a received sound signal, and obtaining a baseband signal; performing low-pass filtering and downsampling on the baseband signal to obtain a preprocessed signal; performing matched filtering on the pre-processed signal by using a reference signal; the key improvement lies in that a local energy estimation function of a preprocessed signal is calculated, and normalization processing is carried out on a matched filtering result and the energy estimation function to obtain a normalized detection signal. The method effectively suppresses the shielding effect of a strong interference signal on a weak target signal under a non-orthogonal reference signal and a strong near-end and weak far-end scene, remarkably reduces the misrecognition probability, and improves the accuracy and reliability of the extraction of a long-distance and low-signal-to-noise-ratio target beacon signal in a complex underwater acoustic environment. The method is suitable for underwater navigation, positioning and communication systems.

The invention relates to an unmanned aerial vehicle cluster autonomous crossing method and system. The method comprises the following steps: expanding channel capacity, carrying out time delay analysis, and introducing a non-orthogonal multiple access technology to carry out interference management and resource allocation so as to complete network deployment; establishing a linear state space model of a multi-unmanned aerial vehicle system for the unmanned aerial vehicle cluster, setting a cooperative control strategy and an obstacle avoidance strategy, and performing model performance analysis; acquiring environment information through each sensor arranged on each unmanned aerial vehicle in the unmanned aerial vehicle cluster to obtain an environment state; an artificial potential field method is adopted to complete a dynamic obstacle avoidance algorithm according to environment state design, and the path of the unmanned aerial vehicle is adjusted in real time according to the dynamic obstacle avoidance algorithm; establishing an unmanned aerial vehicle kinematic model, designing an optimization algorithm of path planning based on the unmanned aerial vehicle kinematic model, and performing real-time dynamic path adjustment according to the optimization algorithm; setting a security and fault-tolerant mechanism; and autonomous crossing of the unmanned aerial vehicle cluster is realized. And the high-efficiency collaboration and stability of the unmanned aerial vehicle cluster are improved.

The invention discloses a broadband full-Stokes polarization imaging device based on non-orthogonal four-channel polarization beam splitting, which comprises a dielectric substrate, a non-orthogonal polarization beam splitting metasurface and a focal plane detection array, and is characterized in that the non-orthogonal polarization beam splitting metasurface is composed of a plurality of sub-wavelength unit structures; the sub-wavelength unit structure is a single-layer anisotropic medium nano-column array and is configured to perform intrinsic-loss-free non-orthogonal four-channel beam splitting on incident light and form four spatially separated focuses on the same focal plane, and polarization states corresponding to the four channels form a regular tetrahedron measurement base on a Poincare sphere; therefore, full Stokes parameter measurement is completed by four pixels; the sub-wavelength unit structure forms a super-pixel unit, and the super-pixel unit is aligned and integrated with a focal plane detection array in a two-dimensional array form to form a compact polarization camera facing focal plane segmentation. The device is simple in structure, easy to integrate with the CMOS front end, small in device size, low in power consumption and high in mass production feasibility.

Apparatuses, methods, and systems are disclosed for determining a precoder for wireless communications. An apparatus is configured to determine a precoder for a set of modulation symbols representing at least two distinct multiplexed streams of information. The precoder includes a plurality of codewords and is configured to reduce an ensemble interference and a pairwise interference for the plurality of codewords. The apparatus is configured to precode the set of modulation symbols based on the precoder and map the precoded set of modulation symbols to a set of resources. The apparatus is configured to generate a non-orthogonal multiplexed channel for access to the resources by overloading the set of modulation symbols at a transmission rate that is greater than a Nyquist rate and transmit an indication of the precoder and the set of resources.

The invention provides a Max plug-in assisted video data transmission method and system, and relates to the technical field of video transmission optimizing.The method comprises the steps that a monitoring video stream is analyzed through a Max plug-in, and video content information containing a plurality of semantic areas, associated position identifiers and importance parameters is obtained; generating multiple paths of coding code streams by using different coding strategies according to the importance parameters, and obtaining a composite code stream through bit field non-orthogonal multiplexing; transmission resources and coding parameters are dynamically adjusted in combination with real-time network states and importance parameters during transmission; and a receiving end decodes and recovers the video data through sequential interference elimination, and finally, the Max plug-in drives the digital twinning scene to realize differentiated three-dimensional rendering presentation according to the recovered data and the associated position identifier and importance parameter, so that efficient transmission of the monitoring video data and differentiated three-dimensional rendering presentation of the digital twinning scene can be realized.

The invention provides a novel hybrid carrier multiple access scheme. According to the scheme provided by the invention, the energy propagation concept of the hybrid carrier is combined with a frequency division multiple access model, and a specific operation method and a processing flow of the hybrid carrier processing and the multiple access processing of the power signal in the sending and receiving processes are provided; and the requirements of signal anti-interference capability, transmission efficiency and multi-user and multi-time-space under an ad hoc network of a power wireless private network are met, and the method is called as hybrid carrier non-orthogonal multiple access (HC-OFDMA). Due to the fact that the energy dispersion capacity is enhanced, a plurality of users can share the same spectrum resource at the same time through non-orthogonal distribution of a power domain, the spectrum utilization rate can be remarkably improved, power distribution can be dynamically adjusted, transmission is optimized according to channel conditions of the users, more users are supported to access at the same time, the system capacity is improved, and the system performance is improved. The method is especially suitable for high-density users and large-scale Internet of Things scenes.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products for reference signal (RS) transmission, channel state information (CSI) measurements, and CSI reporting. In an example embodiment, a wireless transmit / receive unit (WTRU) may be configured with multiple CSI-RS resource sets. A CSI-RS resource set may be associated with transmission and / or reception of non-orthogonal CSI-RSs. Neighboring beam groups may share a same CSI-RS resource set. The WTRU may receive CSI-RS transmissions using the CSI-RS resource sets. For example, the WTRU may (e.g., determine to, be indicated to, be configured to) switch from CSI measurement of a first CSI-RS resource set to a second CSI-RS resource set. For example, the WTRU may switch from CSI measurement of the resource sets using a first measurement configuration to a second measurement configuration. For example, the WTRU may switch from applying a first quasi co-located (QCL) configuration to a second QCL configuration to the resource sets.

The invention discloses a depth receiver construction method, an application system, a receiver, equipment and a medium, and the construction method comprises the steps: constructing an MU-MIMO OFDM uplink transmission system, so as to obtain an original training data set; a depth receiver is constructed, and the depth receiver is based on a multi-head self-attention mechanism; and performing multi-time iterative model training and convergence on the depth receiver by using the original training data set. A reliable training data set is obtained by designing a standard-meeting MU-MIMO OFDM uplink transmission system, and model training is carried out by constructing a depth receiver based on a multi-head self-attention mechanism, so that accurate decoding of data streams in a non-orthogonal superposition pilot frequency transmission scheme is effectively realized; therefore, there is no need to design a plurality of independent modules and solve the problem of cooperative work among the modules, and the bit error rate performance is superior to that of a traditional receiver scheme.

The invention discloses an unmanned aerial vehicle relay route planning method based on photoelectric hybrid switching. The method comprises the following steps: establishing a free space optical channel model, and focusing a flicker effect caused by turbulence and attenuation caused by weather; when a radio frequency channel model is constructed, line-of-sight and non-line-of-sight large-scale fading are fused, and downlink multi-user interference is quantized; establishing a hybrid obstacle model based on a Ray-AABB algorithm, fusing ground static and air dynamic obstacles, and determining a sight distance connection feasible position set; a boundary reflection type random walk model is adopted to describe user movement, and a speed and direction two-parameter updating mechanism and a boundary elastic collision rule are defined; the user throughput is dynamically optimized in combination with fractional order power distribution and non-orthogonal multiple access technologies; a deep reinforcement learning framework is provided, and a three-dimensional track, photoelectric switching and resource allocation are jointly optimized by using a dual deep Q network. According to the invention, the challenge of a low-altitude spectrum rejection environment can be effectively handled, and the robustness and adaptive capacity of the system are ensured.

A transmitter in a wireless communication network includes a bits-to-symbol mapper that produces a plurality of data symbols; and a waveform modulator that receives a first discrete-time waveform and at least a second discrete-time waveform that comprises a cyclic shift of the first discrete-time waveform; modulates a first one of the plurality of data symbols onto the first discrete-time waveform and modulates a second one of the plurality of second data symbol onto the second discrete-time waveform, to produce a plurality of modulated discrete-time waveforms; and sums the plurality of modulated discrete-time waveforms to produce a modulated discrete-time signal to be transmitted in the network. The first discrete-time waveform and at least the second discrete-time waveform are multicarrier signals.

The invention discloses a non-orthogonal waveform MIMO radar imaging method based on deep learning, and the method comprises the following steps: constructing an MIMO radar echo signal model, and obtaining a target echo signal in a whole imaging scene; separating signals of different waveforms in the target echo signal under the condition that the transmitted waveform satisfies an ideal orthogonal condition to obtain waveform vectors corresponding to the different waveforms, and performing azimuth compression to obtain an ideal target image of the MIMO radar; taking frequency domain echo signals at different receiving array elements in an MIMO radar echo signal model and the ideal target image as a training set, and training the constructed deep network model to obtain a trained deep network model; performing target imaging on the actual target echo signal by using the trained deep network model; according to the invention, the echo signal is processed through the trained deep network echo, the coupling interference between waveforms can be effectively suppressed, and the target high-resolution image can be efficiently acquired.

The invention discloses a multi-node concurrent transmission signal superposition diversity method. The method comprises the following steps: S1, generating a Turbo coding sequence by adopting a Turbo encoder; s2, applying phase disturbance to each Turbo coding sequence; s3, performing non-orthogonal superposition in an air channel to form a complex baseband signal; s4, constructing an equivalent observation model; s5, modeling the sending symbol matrix into a sparse matrix to obtain a symbol estimation matrix; s6, inputting the symbol estimation matrix into a Turbo decoder, executing iterative decoding by adopting an improved Max-Log-MAP algorithm, and outputting a bit estimation sequence; s7, completing initial phase estimation by using a Zadoff-Chu lead code, and outputting an estimated phase sequence through a Kalman filter; and S8, dynamically updating the equivalent observation model based on the estimated phase sequence, and completing parallel computing and scheduling. According to the method, Turbo coding, sparse reconstruction and phase disturbance modeling are fused, and multi-node non-orthogonal concurrent transmission is achieved.

The invention discloses a three-channel homodyne interferometer signal processing device and method for suppressing non-orthogonal errors. The device comprises a single-frequency laser, a polarization splitting prism A, a 1 / 4 wave plate A, a first reflector, a 1 / 4 wave plate B, a second reflector and an interference signal resolving module. Wherein the polarization splitting prism A is located at the output end of the single-frequency laser; a 1 / 4 wave plate A and a first reflector are sequentially arranged in parallel in the direction of reflected light; and a 1 / 4 wave plate B and a second reflecting mirror are sequentially arranged in parallel in the transmission light direction. On the premise of repeatedly measuring the non-orthogonal angle, the non-orthogonal error of the interference signal is corrected in the analog operation process by electrically adjusting the amplitude of the interference signal.

The invention provides a user clustering algorithm based on cluster head selection and channel characteristics, which is suitable for a non-orthogonal multiple access (Non-Orthogonal Multiple Access, NOMA) system of a large-scale multiple input multiple output (MIMO) without a cellular, and is characterized in that the user clustering algorithm based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics. The method comprises the following three main steps of: firstly, preferentially selecting a user with an optimal access point channel condition from users as a cluster head user; secondly, a clustering evaluation index is constructed based on the channel gain difference and the channel correlation, and the clustering evaluation index is used for dynamically quantifying the matching degree between users; and finally, according to the evaluation indexes, gradually distributing the remaining users to the cluster where the corresponding cluster head user is located, and forming a final clustering scheme. According to the method, good balance between clustering performance and complexity is achieved, compared with a traditional statistical theory clustering algorithm, the calculation complexity is reduced by 47.5%, meanwhile, clustering fairness, anti-interference capacity and spectrum efficiency are remarkably improved, and the method is suitable for dynamic clustering and resource optimization distribution of a high-density user access scene.

A communication method and device are used for reducing interference between non-orthogonal demodulation reference signal ports and improving transmission performance. The method may comprise the following steps: a first communication device obtains indication information of a first sequence, the first sequence being a cubic polynomial exponential sequence, a cubic term coefficient of the cubic polynomial being associated with a quadratic term coefficient of the cubic polynomial, the quadratic term coefficient of the cubic polynomial is associated with the frequency domain position of the first sequence; the first communication device can also transmit a first signal, wherein the first signal is obtained by mapping the first sequence through frequency domain resources.

The invention discloses a non-orthogonal polarization MIMO (Multiple Input Multiple Output) communication system, which belongs to the technical field of wireless communication and comprises a serial-parallel conversion and precoding module, a signal distribution network, a transmitting channel, a non-orthogonal transmitting array antenna, a non-orthogonal receiving array antenna, a receiving channel, a signal merging network and an MIMO signal detection module, a non-orthogonal transmitting antenna unit is arranged in the non-orthogonal transmitting array antenna, and a non-orthogonal receiving antenna unit is arranged in the non-orthogonal receiving array antenna. According to the invention, parallel transmission of multiple paths of signal streams can be realized under various channel conditions, and the transmission rate and the spectrum utilization rate of the system are improved.

The present disclosure relates to a method for transmission in a hardware impairment-based intelligent reflecting surface (IRS)-assisted non-orthogonal multiple access (NOMA) network, including: constructing an NOMA network system assisted by an IRS; constructing a base station transmission power minimization model based on a user quality of service (QoS) constraint, a successive interference cancellation (SIC) constraint, and a reflective phase shift constraint; solving the base station transmission power minimization model to obtain an optimal transmission scheme, and controlling the NOMA network system to transmit according to the optimal transmission scheme; the base station transmission power minimization model including an active beamforming vector optimization sub-problem and a passive beamforming vector optimization sub-problem.

The invention relates to the field of psychological health monitoring, and discloses a psychological health dynamic management system, which comprises a data acquisition module used for acquiring time, space and behavior multi-modal data of a user in real time; the tensor processing module is connected with the data acquisition module and is used for constructing the multi-modal data into a three-dimensional tensor and carrying out dimension reduction decomposition on the three-dimensional tensor; the quantum privacy module is connected with the tensor processing module and is used for performing quantization coding and privacy protection processing on the decomposed feature gradient; the federation aggregation module is connected with the quantum privacy module and is used for executing collaborative optimization of model parameters among distributed nodes; and the correction compensation module is bidirectionally connected with the tensor processing module and the federal aggregation module. The quantum privacy module realizes irreversible hidden transmission of gradient data, adopts a quantum state superposition coding and dynamic measurement basis selection mechanism, and ensures that the transmission process meets differential privacy constraints through non-orthogonal basis projection measurement and quantum noise injection.

The present disclosure provides a random access method. A method according to an embodiment of the present disclosure, performed by a terminal using an asynchronous grant-free non-orthogonal multiple access scheme, may comprise the steps of: acquiring random access preamble generation information from a base station; generating a primary random access preamble on the basis of the random access preamble generation information; and transmitting the generated primary random access preamble to the base station.

The invention belongs to the technical field of wireless communication, and particularly relates to a communication sensing integrated system based on non-orthogonal AFDM (Alternating Frequency Division Multiplexing). According to the system, a bandwidth compression factor is introduced into an AFDM framework to construct a non-orthogonal waveform, and controllable overlapping between chirp subcarriers is realized, so that the spectrum utilization rate is improved, and the robustness of the system under a high-speed dynamic channel is enhanced. And a receiving end realizes reliable information recovery through maximum likelihood detection, and processes echo signals in combination with a two-dimensional parameter estimation algorithm so as to realize high-precision sensing of the target distance and speed. The system has good anti-Doppler capability and perception precision performance, and is suitable for communication perception fusion application in a high-speed mobile scene.

A method for secure transmission of the physical layer of a non-orthogonal FDM system belongs to the field of wireless communication technology. The present invention solves the problem of poor security performance of physical layer transmission of a non-orthogonal FDM system. Under the premise of ensuring the high system throughput of the non-orthogonal FDM system, the present invention designs a transmission pattern array based on a random pattern principle, a pattern set principle or a minimum peak-to-average ratio principle, and performs decoding based on the transmission pattern array at the receiving end to improve the security performance of physical layer transmission of the non-orthogonal FDM system. The method of the present invention can be applied to secure transmission of the physical layer of a non-orthogonal FDM system.

The application discloses a kind of multi-dimensional multiple access and lightweight continuous authentication combined design system.The combined design system is based on non-orthogonal multiple access technology, explores multiple domains of device access, describes the access time sequence of multiple users, sub-channel and power allocation as a joint optimization problem, improves the communication performance of system while guaranteeing the continuous identity authentication of multiple devices.The system uses the unique access time sequence and channel generated by the user in advance to realize the simultaneous verification of multiple users at the base station end;While guaranteeing the continuous authentication of multiple users, the communication performance of the system is improved by optimizing their channel and power allocation.The system provides a fast network access and continuous authentication scheme for devices, which can be widely applied in wireless communication scenarios.

A task migration method based on joint uplink and downlink user clustering is proposed. When the downlink migration task result is transmitted back to the terminal, a large-scale antenna array millimeter wave non-orthogonal multiple access technology is used, and wireless energy transmission is performed to the terminal at the same time. In the downlink clustering method, the initialization cluster center selection and cluster center update method are designed according to the channel characteristics, and then based on the downlink user clustering result, the users are selected between different clusters for uplink user virtual MIMO pairing by taking advantage of the strong correlation of the channels of users in the same cluster, the large difference of the channels of users between clusters, and the low interference. Through experimental simulation, it is verified that when migrating edge computing tasks, the proposed joint uplink and downlink user clustering task migration method has lower latency and energy consumption than other traditional methods.

An apparatus serves a plurality of user equipments in a wireless communication system. For transmitting / receiving data of a plurality of user equipments, which include at least a first user equipment and a second user equipment, on resources shared by the plurality of user equipments, the apparatus transmits / receives a first data signal of the first user equipment and second data signal of the second user equipment using a non-orthogonal multiple access, NOMA, scheme. The first data signal and the second data signal are modulated using different waveforms prior to superposition of the first and second data signals.

The invention provides a wireless communication method and communication equipment. The method comprises: a first device sends a target signal to a second device on a target transmission resource, the target signal comprising a first signal and a second signal which are non-orthogonally transmitted. The embodiment of the invention provides a wireless communication method, in which non-orthogonal transmission can be performed between a first signal and a second signal on the same transmission resource (also known as a target transmission resource). Compared with a traditional signal transmission scheme in which the first signal and the second signal are transmitted in an orthogonal transmission manner by occupying different transmission resources, the utilization rate of the transmission resources can be improved.

The invention provides an error correction method of a three-axis inertial sensor, and relates to the technical field of inertial navigation control, and the error correction method of the three-axis inertial sensor comprises the following steps: determining a non-orthogonal error source of the three-axis inertial sensor; constructing a comprehensive error model according to a non-orthogonal error source; measuring the actual output value of the three-axis inertial sensor; calculating a compensation parameter according to the actual output value and the comprehensive error model; and correcting the actual output value according to the compensation parameter. The comprehensive error model is constructed according to the non-orthogonal error source, and the compensation parameter is calculated according to the comprehensive error model to correct the actual output value, so that the measurement deviation can be effectively reduced, and the measurement accuracy of the sensor is improved.

The present invention relates to an orthogonal correction network, method and device for an angle sensor. The correction network includes: a first bypass correction network for providing a first preset correction value and a second bypass correction network for providing a second preset correction value; a first multiplier for performing a multiplication operation on a detection value of a first axis of a misaligned orthogonal coordinate and the first preset correction value to obtain a first coordinate correction detection value; a second multiplier for performing a multiplication operation on the detection value of the first axis and the second preset correction value to obtain an intermediate correction value; and an adder for performing an addition operation on a detection value of a second axis and the intermediate correction value to obtain a second coordinate correction detection value. The correction network of the present invention can completely eliminate the non-orthogonal distortion caused by a non-orthogonal sensing element array, and only two multipliers and one adder are provided, with a simple structure, small calculation amount and easy implementation. In addition, the method and device can be applied to multiple groups of sensing elements, and stable angle detection can be realized through model and coordinate conversion to eliminate non-linear errors.