95 results about "Spreading factor" patented technology

The invention relates to the technical field of Internet of Things, in particular to an electric energy meter with a wireless communication module, which comprises a parameter acquisition module, a communication optimization module, an interference analysis module, a fluctuation evaluation response module and a load classification module. According to the invention, a mutual inductor captures a single-phase circuit signal, analog-to-digital conversion is combined to realize parameter quantization, interference is eliminated based on an active power identification algorithm, a structured parameter set is integrated, a wavelet packet decomposition parameter and a quantization threshold are dynamically adjusted according to a load rate, and spread spectrum factor configuration is adopted to improve channel efficiency. The method comprises the following steps: extracting key features by using wavelet packet characteristics; continuously monitoring voltage fluctuation by a sliding window; detecting and identifying an instantaneous interference event by a break variable; inhibiting noise by Kalman filtering and predicting a trend; and the performances of the system in the aspects of acquisition precision, transmission efficiency, interference immunity and detection sensitivity are enhanced.

The invention relates to the technical field of Internet of Vehicles, and discloses an Internet of Vehicles device scheduling method based on a LoRa ad hoc network and a Prophet algorithm, comprising the following steps: deploying LoRa nodes to form an ad hoc network, adopting a star-shaped or mesh topology structure, and setting transmission rate, signal bandwidth and spreading factor parameters; information such as the position, the speed and the direction of a vehicle is obtained through GPS or V2X communication, and interference, noise level and signal strength of a LoRa channel are monitored in real time for dynamically adjusting transmission parameters; designing an adaptation and scheduling strategy based on a Prophet algorithm; and dynamically updating the encounter frequency and the encounter duration, and selecting an optimal forwarding node in combination with the probability of Prophet and the transmission parameter of LoRa. According to the method, the interference, the noise level and the signal strength of the LoRa channel are monitored in real time, and the spreading factor (SF), the bandwidth and the power are dynamically adjusted, for example, the SF12 and 125kHz bandwidths are adopted during long-distance transmission, and the SF7 and 500kHz bandwidths are switched to a high-speed scene, so that the transmission efficiency is improved by more than 20%.

The invention discloses a wireless communication control method and system based on a LoRa module, and relates to the technical field of wireless communication, and the method comprises the steps: configuring LoRa module communication parameters; rSSI and SNR monitoring is carried out on a currently used channel, and an optimal spreading factor parameter is evaluated and recommended; multi-channel optimization selection is carried out based on a spreading factor evaluation result, transmission capability evaluation is carried out on a selected channel, and an optimal main channel and an optimal standby channel are determined; analyzing and formulating a hierarchical resource scheduling strategy and a power consumption scheduling strategy based on the communication behavior data of the terminal node, and generating an active control instruction set; executing hierarchical access control and dynamic migration scheduling based on the active control instruction set, and executing a data transmission task; and counting performance indexes of each channel, and adjusting related control parameters to form adaptive optimization closed-loop control. According to the method, the channel adaptability is improved through real-time signal monitoring and spreading factor dynamic optimization, accurate resource configuration is realized based on a hierarchical scheduling strategy of behavior prediction, and the energy efficiency and robustness of the system are remarkably optimized.

A user equipment (UE) that includes one or more non-transitory computer-readable media storing one or more computer-executable instructions for determining the transport block size for a Physical Uplink Shared Channel (PUSCH) transmission and at least one processor coupled to the one or more non-transitory computer-readable media is provided. The processor is configured to execute the one or more computer-executable instructions to cause the UE to determine whether an Orthogonal Cover Code (OCC) is applied to the PUSCH transmission; determine a spreading factor of the OCC in a case that the OCC is applied to the PUSCH transmission; and determine the transport block size using a scaling factor in a case that the OCC is applied to the PUSCH transmission, the scaling factor being determined based on the spreading factor.

The invention relates to the technical field of wireless communication signal big data analysis, and discloses a LoRa unmanned aerial vehicle communication signal-oriented identification and analysis method, which comprises the steps of obtaining radio signal discrete data in a monitoring area, executing short-time Fourier transform to generate a time-frequency two-dimensional spectrogram, and identifying and intercepting a LoRa signal noisy IQ time sequence by using a convolutional neural network; mapping the sequence into a high-dimensional feature tensor, inputting the high-dimensional feature tensor into a slope statistical attention generative adversarial network, calculating a first-order differential tensor by using a generator, carrying out kernel convolution on the first-order differential tensor and preset linearity statistics to generate an attention mask, and reconstructing a de-noised IQ time sequence by using a bidirectional long-short-term memory network after Hadamard product gating; according to the method, the tensor gating operator based on the physical statistical law is embedded in the neural network, so that the common problem that physical semantic drift is easily generated by a generative model at an extremely low signal-to-noise ratio is solved.

The invention discloses a communication module data transmission method, electronic equipment and a storage medium. The communication module data transmission method mainly comprises the following steps: determining a target communication parameter of a communication module according to the electromagnetic interference intensity of an electromagnetic interference signal in spectrum data, a preset optimization strategy and a preset constraint condition; and controlling the communication module to perform data transmission according to the target communication parameters, the target communication parameters including a target spread spectrum factor, a target coding rate and target channel configuration, and the spectrum data being spectrum data of the communication module during data transmission. According to the technical scheme provided by the embodiment of the invention, the communication parameters of the communication module are adaptively adjusted according to the electromagnetic interference intensity of the electromagnetic interference signal in the frequency spectrum data of the communication module during data transmission, so that the anti-interference purpose is achieved, and the data transmission reliability of the communication module is improved.

The invention relates to the technical field of gateway performance optimization, and discloses a multi-terminal gateway connection performance optimization method and system.The method comprises the steps that SPI bus parameters of gateway hardware are set, SPI high-speed communication driving configuration is obtained, multi-channel frequency resource allocation is executed, and a plurality of channel configuration items are obtained; performing parallel spreading factor monitoring on the plurality of channel configuration items to obtain spreading factor dynamic adjustment data; monitoring the gateway network connection state according to the spreading factor dynamic adjustment data to obtain a network state monitoring result; and inputting the network state monitoring result into a distributed cooperation system for gateway cooperation group division to obtain a gateway resource allocation scheme, thereby realizing dynamic optimal allocation of resources between gateways, avoiding overload operation of a single gateway, and improving the signal coverage range and the transmission quality.

The invention relates to the technical field of wireless communication, in particular to an emergency LoRa communication method based on multi-band cooperation and dynamic resource modulation. The method comprises the following steps: S1, dynamically acquiring communication environment information, channel quality information and network load information; s2, dynamically analyzing and selecting an initial target spreading factor based on the information; s3, setting a preset factor optimization target by taking the minimum bit error rate as a target, and dynamically adjusting and obtaining a current optimal spreading factor; and S4, based on the current optimal spread spectrum factor, performing dynamic allocation of spectrum resources by adopting a dynamic channel allocation mechanism and a reinforcement learning algorithm of adaptive network load balance, and learning a network state in real time through the reinforcement learning algorithm so as to dynamically select an optimal channel allocation strategy to perform emergency communication. According to the method, communication parameters can be adaptively adjusted, the network efficiency and reliability are remarkably improved, the system capacity, the real-time performance and the robustness in a mobile scene are enhanced, and reliable communication guarantee is provided for rescue in an extreme environment.

The invention discloses a LoRa signal demodulation and decoding method and system based on blind identification, and the method comprises the steps: carrying out the down-conversion processing of a LoRa signal, and generating a baseband signal corresponding to the LoRa signal; identifying linear sweep frequency characteristics of the baseband signal based on short-time Fourier transform, and judging whether the baseband signal is a CSS modulation signal according to the linear sweep frequency characteristics; if the signal is a CSS modulation signal, detecting the signal bandwidth based on spectrum estimation, and identifying a spreading factor by adopting a peak detection and zero-cross detection method; and configuring parameters of a preset LoRa demodulation and decoding module in real time according to the signal bandwidth and the spreading factor, and demodulating and decoding the LoRa signal according to the configured LoRa demodulation and decoding module to obtain LoRa communication signal content. Through development of a deep learning-based adaptive detection algorithm, blind identification and parameter estimation of LoRa signals in a complex electromagnetic environment are realized, and then robust demodulation and decoding are completed.

The invention belongs to the technical field of wireless communication interference in the field of wireless communication security and unmanned aerial vehicle security, and particularly relates to an unmanned aerial vehicle real-time countering method for a LoRa communication protocol, which comprises the following steps: step 1, continuously monitoring electromagnetic signals, and finding a target LoRa signal in the electromagnetic signals; 2, analyzing signal parameters; the method comprises the following steps: analyzing a captured remote controller signal to obtain parameters required for sending an interference signal by a center frequency (Freq), a bandwidth (BW), a preamble length (preamble Length) and a spreading factor (SF); step 3, sending an interference signal; and sending an interference signal according to the signal parameters analyzed in the step 2, wherein the interference signal is used for interfering communication between the remote controller and the unmanned aerial vehicle. The method comprises a detection part and an interference part, and is used for protecting key infrastructures, important activities and sensitive areas from threats possibly brought by an unmanned aerial vehicle of a LoRa communication protocol.

A method and system for improving channel estimation for multi-user, multiple-input, multiple-output (MU-MIMO) systems through dynamic DM-RS port allocation in a 5G New Radio network is provided. The method comprises of allocating, by a Scheduler aware UE port allocation unit, one or more MU-MIMO ports to a plurality of code division multiplexing (CDM) groups for a plurality of UE users, performing, by a code selection unit, a code selection based on a number of allocated MU-MIMO ports, determining, by a spreading factor unit, a spreading factor allocated for each of the MU-MIMO ports in each of the plurality of CDM groups, determining, by a signalling unit, a Downlink Control Information (DCI) signalling of a Partial Port Occupancy (P-Poi) transmission for each UE and obtaining, by a channel estimation unit, channel estimates at the receiver through VSFOCC de-spreading based on the P-POI assigned for each of the MU-MIMO ports.

To suppress a demodulation error rate while utilizing a fractional spreading factor in LoRa modulation.SOLUTION: A demodulator (30) comprises a sampling unit (302), a correction unit (306), an estimation unit (307), and an output unit (308). The sampling unit performs oversampling on a received signal subjected to FSF-LoRa modulation that uses a predetermined spreading factor and a predetermined fractional coefficient, at a sampling interval obtained by dividing a chip length used in the FSF-LoRa modulation by a predetermined oversampling coefficient, thereby generating an equivalent low-pass signal. The correction unit (306) performs correction, which is based on the spreading factor, the fractional coefficient and the oversampling coefficient, on a de-spread DFT signal obtained by performing de-spreading processing and DFT processing on the equivalent low-pass signal, thereby generating a correction signal. The estimation unit (307) estimates a frequency index having a maximum amplitude among a plurality of frequency indices included in the correction signal as an index of a desired signal.SELECTED DRAWING: Figure 3

A method (400, 500) of transmitting data, by a utility metering device (200) and to a further device, using long range, LoRa, communications. The method (400, 500) comprises assigning, to each item of data (302a-j) of a plurality of data (300) to be transmitted by the utility metering device (200), a priority level from a plurality of priority levels; determining a desired transmission interval based a desired energy consumption from a power source powering the utility metering device (200), during transmission, by the utility metering device, of a predetermined size of data at a first data rate associated with a first spreading factor, wherein the first data rate is one of a plurality of predefined data rates, each data rate of the plurality of data rates being associated with a corresponding spreading factor, and wherein the first data rate is the lowest data rate of the plurality of predefined data rates and the first spreading factor is the highest spreading factor of the corresponding spreading factors; determining a transmission data rate; determining which one or more items of data, of the plurality of data, to transmit at the desired transmission interval, based on the determined transmission data rate and the priority level assigned to each item of data; and transmitting the determined one or more items of data to the further device at the desired transmission interval using the determined transmission data rate.

A wireless transmit / receive unit (WTRU) is configured to report to a network the WTRU capability for physical downlink control channel (PDCCH) decoding including supported number of discrete fourier transform (DFT) modules and sizes and receive from the network a PDCCH configuration as a search space and control resource set (CORESET) configurations having a spreading factor or an orthogonal code length, a number of frequency resource groups (FRGs) and associated sizes, an indication of code domain multiplexing, and a CORESET format. The WTRU determines resource groups (RG) size and a number of RGs per control channel elements (CCE) based on configured spreading factor and FRG size, and determines an association between RGs and orthogonal cover codes (OCCs) per FRG and orthogonal frequency division multiplexing (OFDM) symbol based on, among other things, the configured spreading factor.

The invention discloses a real-time communication network construction method and system based on a LoRa ad hoc network technology, and the method comprises the steps: extracting business flow characteristics through a core layer gateway, carrying out the spatial clustering, and determining a cluster head node; the cluster head node broadcasts a clustering result; performing service flow classification, and determining access modes of different service flow classifications; calculating expected transmission times and node residual energy through a bidirectional link detection packet, and dynamically optimizing a multi-hop path; the cluster head node receives the link quality data reported by the terminal and dynamically adjusts a spreading factor; the cluster head node and the core layer gateway carry out key negotiation to generate a session key; the LoRa data packet is converted into a standard message through the core layer gateway; and the cluster head node compresses and gathers node data of the terminals in the cluster, and transmits the node data to the core layer gateway in a multi-hop mode. According to the scheme, the problems of fierce channel competition, routing stiffness and insufficient clock synchronization precision in the prior art can be solved, and the service requirements of high real-time performance and high reliability of a power system are met.

A user equipment (UE) that includes one or more non-transitory computer-readable media storing one or more computer-executable instructions for determining the transport block size for a Physical Uplink Shared Channel (PUSCH) transmission and at least one processor coupled to the one or more non-transitory computer-readable media is provided. The processor is configured to execute the one or more computer-executable instructions to cause the UE to determine whether an Orthogonal Cover Code (OCC) is applied to the PUSCH transmission; determine a spreading factor of the OCC in a case that the OCC is applied to the PUSCH transmission; determine whether a condition is satisfied for determining the transport block size; and determine the transport block size using a scaling factor in a case the condition is satisfied, the scaling factor being determined based on the spreading factor.

The invention belongs to the technical field of wireless system application, and particularly relates to a radio frequency-based wireless signal test platform system and a building method thereof, and the system comprises an Android master control terminal, a radio frequency communication module and an environment sensing unit; the android master control terminal carries an industrial-grade android equipment operating system, an integrated presentation layer, a business logic layer and a data access layer; the radio frequency communication module is connected with the Android master control terminal through a serial interface and is used for dynamically configuring frequency bands, spreading factors and bandwidth parameters; an environment database is established by setting an Android master control terminal, a radio frequency communication module and an environment sensing unit, adaptive communication capability testing of various radio frequency modules is realized, wireless signal data can be visually tested anytime and anywhere by using an established testing platform and environment data, and dependence on a traditional darkroom and a frequency spectrograph is avoided; and self-adaptive setting of frequency bands, spreading factors and bandwidths of the module in different environments is realized through an existing environment database.

A communications system may include first and second electronic devices. The first device may transmit an ultra-wideband (UWB) signal to the second device. The UWB signal may include pulses that represent a ranging frame. The pulses may include a series of pulses representing a physical layer (PHY) payload of the ranging frame. The second device may estimate a range to the first device and / or a location of the first device based on a correlation of the series of pulses representing the PHY payload of the ranging frame. The first device may apply a coding scheme to the PHY payload that reduces, or minimizes, a bit error rate of the correlation at the second device, may apply a cyclic redundancy check, may transmit the PHY payload using a spreading factor greater than one, and / or may apply encryption to the PHY payload for integrity check purposes.

A modulation control system for a power electronic converter, comprising: a power electronic converter comprising a controllable electronic switch; and a control device configured to: determine a carrier frequency range based on the primary carrier frequency and a spreading factor, where the spreading factor is a value not equal to 1; generating a control signal including a variable switching frequency, where the variable switching frequency has a first switching frequency value within a carrier frequency range, and after a predetermined number of cycles elapsed at the first switching frequency value, the variable switching frequency has a second switching frequency value within the carrier frequency range; and providing a control signal to the power electronic converter such that the controllable electronic switch changes state at a variable switching frequency.

A UE that includes one or more non-transitory computer-readable media storing one or more computer-executable instructions for a PUSCH transmission and at least one processor coupled to the non-transitory computer-readable media is provided. The processor is configured to execute the one or more instructions to cause the UE to determine that an OCC is applied to the PUSCH transmission based on an indication received from a BS; determine the spreading factor of the OCC; determine the number of RBs allocated to the PUSCH transmission; determine the number of a first set of modulation symbols before applying the OCC to each OFDM symbol as a function of the number of allocated RBs and the spreading factor, and determine a second set of modulation symbols after applying the OCC to each OFDM symbol by performing a Kronecker product of the first set of modulation symbols and a sequence of the OCC.

Disclosed are a signal power adjustment method, system, device and medium for a reference station, the method being suitable for a reference station connected with a plurality of mobile stations, the method comprising: sending a LoRa signal to a plurality of mobile stations at the same time according to a preset transmission power, so that each mobile station calculates a sensitivity gain value according to the LoRa signal, the spreading factors of the mobile stations are different from one another; and determining a corresponding target adjustment power according to the sensitivity gain value fed back by each mobile station, and adjusting the communication power of each mobile station to the target adjustment power. According to the method, the signal transmitting power of the mobile stations with different spreading factors can be determined and regulated, the contradiction that the power consumption of a high-spreading-factor user is too high and the reliability of a low-spreading-factor user is insufficient is effectively balanced on the premise of ensuring that all users reach the target communication reliability, remarkable optimization of the total power consumption of the system is realized, and the system reliability is improved. And meanwhile, the self-adaptive capability and the overall energy efficiency of the network in a complex channel environment are improved.

A user equipment (UE) that includes one or more non-transitory computer-readable media storing one or more computer-executable instructions for determining the transport block size for a Physical Uplink Shared Channel (PUSCH) transmission and at least one processor coupled to the one or more non-transitory computer-readable media is provided. The processor is configured to execute the one or more computer-executable instructions to cause the UE to determine whether an Orthogonal Cover Code (OCC) is applied to the PUSCH transmission; determine a spreading factor of the OCC in a case that the OCC is applied to the PUSCH transmission; and determine the transport block size using a scaling factor in a case that the OCC is applied to the PUSCH transmission, the scaling factor being determined based on the spreading factor.

The present disclosure provides a method for satellite communication comprising: transmitting, by an endpoint, a set of protocol data units (PDUs) at different spreading factors with a session request bit; receiving, by a satellite, a subset of the PDUs based on link conditions; constructing, by the satellite, a hash based on an endpoint ID and a minimum spreading factor of received PDUs; packing the hash with other data in a feedback channel; monitoring, by the endpoint, the feedback channel for a matching hash; if a matching hash is found, continuing transmission at the signaled spreading factor and monitoring a command packed in the feedback channel; and if no matching hash is found, attempting transmission at different spreading factors. The method further comprises reacting to received commands by stopping transmission, increasing spreading factor, decreasing spreading factor, or continuing transmission based on the command value.

A method for providing a user equipment (20) main radio (21) to be activated by a wake up signal, performed by a wake up radio (10) provided to the user equipment (20) comprising the steps of detecting carrier signals having energy in a defined channel band from continuously listened carrier signals by an envelope detector (112), generating a chirp to modulate the detected signal, modulating the detected signal by a correlator (121) with defined chirp spreading factors (SF) according to the chirp, detecting peak amplitudes with a peak detector (122) to determine that the modulated signals are modulated according to a defined spreading factor, demodulating the carrier signal embedded in modulated frequency-shifted chirps with a synchronization mechanism (131), detecting the information carried by the demodulated signal using the fast fourier transform method, generating a trigger signal to wake up the main radio (21) if the information carried by the demodulated signal is found to be identical to a reference information, transmitting the trigger signal to the main radio (21).

The invention discloses a LoRa physical layer data tamper-proofing method based on signal orthogonality. The method comprises the steps of obtaining a to-be-embedded position based on a payload in LoRa physical layer data; embedding the original mark information in the to-be-embedded position to obtain a composite signal; transmitting the composite signal; decoding the composite signal to obtain the position change condition of the original mark information in transmission; and based on the position change condition, obtaining a judgment result of whether the LoRa physical layer data is tampered or not. According to the LoRa physical layer data tamper-proofing method based on the signal orthogonality, the inherent characteristics of the LoRa physical layer signals are fully utilized, the mark information is embedded into the spectrum leakage area of the LoRa physical layer data in a low-power and low-spreading-factor orthogonal signal form, and the tamper-proofing efficiency of the LoRa physical layer data is improved on the premise that the hardware complexity is not remarkably increased. And high-security data transmission is realized.

The invention relates to a bidirectional wireless communication frequency hopping method, system and device and a medium. The method comprises the following steps: introducing a frequency hopping mechanism based on a double-base-frequency channel and a plurality of wireless communication channels into bidirectional wireless communication connection between a master end and a slave end, and when communication of the master end and the slave end is disconnected, automatically switching to an idle channel without interference for communication reconnection through channel frequency hopping and one-by-one channel self-inspection. And when the master end and the slave end enter a normal communication connection state, initializing the master end and the slave end to be a synchronous frequency hopping sequence, calculating an optimal spreading factor of a wireless communication channel synchronously skipped by the master end and the slave end by adopting a self-adaptive spreading factor algorithm, and keeping synchronous frequency hopping data transmission between the master end and the slave end based on the optimal spreading factor. By adopting the method, the speed and success rate of reconnection after communication disconnection of the master end and the slave end can be improved, and the reliability and stability of wireless communication data transmission are enhanced.

To prevent a self-interference signal from being generated while using a fractional spreading factor for an LoRa modulation scheme.SOLUTION: A communication system (1) includes a transmission terminal (2) that performs FSF-LoRa modulation using a spreading factor (s) and a fractional coefficient (ρ) on transmission data to generate a transmission signal, and a gateway (3) that demodulates a reception signal obtained by receiving the transmission signal using the spreading factor and the fractional coefficient and outputs an estimated demodulation signal obtained by estimating the transmission data. The transmission terminal converts transmission data into a combination of symbols, and spreads each of the symbols included in the combination with a first reference chirp signal generated based on a spreading factor and the fractional coefficient. The gateway performs a sampling process on the received signal at a sampling frequency that satisfies a Nyquist criterion to generate an equivalent low-pass signal, and despreads the equivalent low-pass signal with a second reference chirp signal generated based on a spreading factor and the fractional coefficient.SELECTED DRAWING: Figure 8

This invention discloses a LoRa chip adaptive spreading factor selection terminal device and method. The terminal device includes a main control microprocessor, an RF transceiver, and a mechanical state sensor connected to the main control microprocessor. The main control microprocessor extracts the first-order differential values ​​of RF parameters and simultaneously acquires vibration acceleration magnitude values, mapping them to a two-dimensional discrete state set. An environment mask is generated based on the comparison between the instantaneous rate of change of the vibration acceleration magnitude and a set threshold. In response to the environment mask being in a first logic state, the spreading factor is updated and issued according to an action value lookup table. In response to the environment mask being in a second logic state, the update operation is blocked, and a spreading factor locking command is issued. This application can achieve cross-domain feedforward intervention by fusing physical states, blocking the invalid spreading factor rise caused by instantaneous broadband noise, and reducing node ineffective power consumption.

This invention belongs to the field of non-cooperative signal processing technology, specifically relating to a method for estimating LoRa communication signal parameters based on fractional Fourier transform. The invention constructs a fractional Fourier transform model of the LoRa signal and determines the search range and accuracy of the fractional order. It then performs a fractional Fourier transform on the LoRa signal and obtains the matching order of the LoRa signal's fractional Fourier transform by searching for the peak values. Subsequently, under the matching order, the fractional-domain frequencies of the two peak values ​​of the LoRa fractional Fourier transform are searched. Finally, the bandwidth and spreading factor parameters of the LoRa signal are calculated based on the relationship between bandwidth, spreading factor, matching order, and peak frequencies. The performance of this method under different signal-to-noise ratio conditions is evaluated using Monte Carlo simulation. This method can achieve relatively good parameter estimation of LoRa signal bandwidth and spreading factor.

The invention relates to an uplink LoRa adaptive transmission method based on RIS differential index modulation, and the method comprises the steps: introducing RIS and IM into the uplink transmission of LoRa, and carrying out the differential modulation of a joint IM entity in a space-time domain. The RIS is deployed near the LoRa node as part of a transmitter, and additional information is communicated by building RIS space-time blocks, thereby enhancing the uplink transmission link of the single antenna LoRa node with the gateway. Meanwhile, in order to further improve the performance of the system, an adaptive spreading factor (SF) selection strategy is introduced. According to the invention, under the design based on the RIS differential IM, the CSI demand is effectively eliminated, and the LoRa transmission rate is significantly improved.