104 results about "Pilot signal" patented technology

The application discloses a kind of mobile communication base station and communication method, communication method includes: communication base station sends pilot configuration instruction to user, carries out estimation to Doppler frequency offset, obtains phase-compensated received pilot signal, and is converted into vectorization received signal;Linear regression model is constructed, adaptive sparse channel estimation is carried out based on variational bayes inference, and output downlink frequency domain channel matrix, angle domain channel matrix;Angle domain channel matrix is quantized using Lloyd-Max non-uniform quantizer, and the global channel matrix of base station end is obtained;Output optimal analog precoding matrix and digital precoding matrix;Communication base station generates radio frequency signal based on precoding after transmission signal vector, and sends to user.Communication base station includes distributed antenna unit, baseband processing unit, radio frequency link and central control unit.The technical scheme of the application covers the whole process signal processing link of mobile communication base station, and the calculation complexity is low, and can be directly adapted to existing 3GPP standard and hardware platform.

This invention discloses a pilot-type carrier phase recovery circuit and a reverse antenna array system, belonging to the field of 5G millimeter-wave communication. The pilot-type carrier phase recovery circuit includes a digital phase detector, a quadrature mixer, a quadrature voltage-controlled oscillator, a low-pass filter, a high-pass filter, a polyphase filter, a loop filter, a first intermediate frequency amplifier, a second intermediate frequency amplifier, a first shaping circuit, and a second shaping circuit. Applied to a reverse antenna array system, this invention performs carrier phase recovery on the data signal and pilot signal output from the receiver, separating the data signal without spatial phase information and the spatial phase information used for reverse transmission. This invention enables high-order modulation full-duplex communication and real-time tracking of moving targets, featuring high integration, small area, high communication speed, and strong anti-interference capability.

The application relates to the technical field of semiconductor laser control, and discloses a wavelength stabilization control method of a semiconductor laser, which comprises the following steps: constructing an equivalent heat transfer model of a multi-section semiconductor laser; monitoring the radio frequency data stream duty cycle of a gain section, switching the injection path of a low-frequency pilot signal to extract a global equivalent low-frequency thermal resistance, updating a time-varying low-frequency physical RC node parameter set; combining the transient heat power of the gain section and the equivalent heat transfer model to deduce full-frequency section junction temperature observation data, and decomposing the full-frequency section junction temperature observation data into an extremely low-frequency direct current component, a medium-low-frequency fluctuation component and an extremely transient high-frequency fluctuation component; driving a thermoelectric refrigeration component according to the extremely low-frequency direct current component; generating a medium-low-frequency feedback compensation current according to the medium-low-frequency fluctuation component, combining the extremely transient high-frequency fluctuation component to generate a feedforward compensation current; and injecting the medium-low-frequency feedback compensation current and the feedforward compensation current into a grating section after being combined. The application realizes multi-frequency section decoupling control and improves wavelength stability.

The application discloses an OTFS system channel estimation method, device, storage medium and equipment, belongs to the wireless communication technical field, and the method comprises the following steps: acquiring a sending pilot signal, a receiving pilot signal and a noise variance; preprocessing the sending pilot signal and the receiving pilot signal to obtain sending pilot data and receiving pilot data; inputting the sending pilot data, the receiving pilot data and the noise variance into a trained channel sparsity estimation model to obtain a channel sparsity estimation value, wherein the channel sparsity estimation model is a deep neural network; and reconstructing the channel based on the channel sparsity estimation value by using an OMP algorithm to obtain a channel estimation value; the application estimates the channel sparsity through the deep neural network, overcomes the selective bias problem in the traditional OMP algorithm, improves the accuracy of channel estimation by combining offline training and data driving, and can also reduce the overhead of the pilot signal.

Electric vehicle charging cable (1) for connecting a charging station and an electric vehicle according to the Type 2 standard as defined in IEC 62196-2, comprising: - at least three power lines (2a, 2b, 2c) for three-phase power transmission, - a neutral conductor (3), - a protective conductor (4), - a control pilot signal line (5) as defined in IEC 61851-1, - a proximity pilot signal line (6), - a Type 2 connector (7a, 7b) at each end, characterized in that: - an electronic unit (10) is integrated into the cable or into at least one of the connectors (7a, 7b), - the electronic unit (10) comprises a microcontroller (11) with an analog-to-digital converter, - the microcontroller (11) is connected to the control pilot signal line (5) via a voltage divider (12) and continuously monitors the voltage of this line, - the electronic unit (10) includes at least one acoustic signal generator (13) includes,- the microcontroller (11) is programmed,to distinguish the voltage states of the control pilot line (5) according to IEC 61851-1 (State A: +12 V; State B: +9 V; State C: +6 V; State E: 0 V),- the electronic unit (10) emits a first acoustic signal when transitioning from State A to State B,- the electronic unit (10) emits a second acoustic signal, distinguishable from the first acoustic signal, when transitioning from State B to State C,- the electronic unit (10) emits a third, warning acoustic signal if State B persists for a predefined period of 5 to 15 seconds without transitioning to State C.

The utility model discloses a drive control circuit and auxiliary power supply, wherein including voltage comparison circuit and switching circuit, voltage comparison circuit exports the pilot signal when the voltage of power supply end of its power supply chip is no less than the preset drive voltage of drive switch tube, to make switching circuit make the circuit between the drive signal output end of power supply chip and the control end of drive switch tube conduct, and then make the drive signal of power supply chip output to drive switch tube control. Visible, the circuit between the drive signal output end of power supply chip and the control end of drive switch tube only conducts when the voltage of power supply end of power supply chip is no less than the preset drive voltage of drive switch tube, thereby guaranteeing that the voltage of drive signal of power supply chip to drive switch tube control is enough big, avoids drive switch tube and overheats damage because the voltage of drive signal is small and can not completely conduct.

This invention discloses a non-cooperative signal localization method based on radiation source decoupling, belonging to the field of wireless signal processing and spatial positioning. The method includes: transforming multi-source joint localization into multiple independent single-source localization problems by constructing a source-level decoupling theoretical framework. First, the method utilizes multiple receiving nodes to acquire mixed signals; then, it uses a mask-based separation network (MS-Net) to perform blind source separation on the mixed signals, obtaining the decoupled components of each radiation source. This network does not require prior information such as pilot signals; finally, for each decoupled component, a broadband Doppler model considering time-scale effects is used for direct single-source localization. This invention significantly reduces computational complexity, improves model adaptability and localization accuracy in high-speed motion scenarios, and has good engineering application prospects.

This invention discloses a bidirectional continuous-variable quantum key distribution method and system based on frequency division duplexing in a single-transceiver ring network. The method is based on a monolithically integrated silicon photonics transceiver chip. By pre-setting optical carrier frequency offsets for the forward and reverse links, it isolates the quantum signal from Rayleigh backscattering noise in the fiber in the frequency domain. The transmitting end generates a broadband waveform containing quantum signals and pilot signals, which is transmitted bidirectionally through a single optical fiber. The receiving end uses a laser source from the same chip as the local oscillator for coherent heterodyne detection. A digital signal processing module performs orthogonalization correction, phase recovery, and matched filtering to suppress noise and extract the quantum signal to generate a secure key. This invention solves the problems of inflexible networking, low fiber utilization, and severe scattering noise interference in bidirectional transmission over a single fiber caused by the separation of the transmitting and receiving ends in integrated continuous-variable quantum key distribution systems. It provides a low-cost and highly flexible solution for metropolitan quantum ring networks.

The application provides a modulation method and system of an orthogonal frequency division multiplexing signal, and belongs to the technical field of wireless communication. The method comprises the following steps: mapping a frequency domain data signal and a pilot signal to be transmitted into a frequency domain resource grid matrix; performing a frequency domain shift operation on each row vector of the frequency domain resource grid matrix, shifting a zero frequency component to the center of the vector, and obtaining a shifted matrix; and performing an inverse fast Fourier transform on each row vector of the shifted matrix, and obtaining a time domain orthogonal frequency division multiplexing symbol matrix as a modulation result. The application constructs the entire frequency domain resource into a two-dimensional matrix, and all subsequent signal processing operations are based on the row vectors of the two-dimensional matrix as a basic unit, and are completed through a series of explicit matrix and vector operation steps. Thus, the IFFT call for the entire frame, which is a black box, is decomposed into individual steps for a single symbol, which are visible and controllable, and the problem of opaque process is solved.

A communication method and device are used to reduce the transmission overhead based on OTFS. The method comprises the following steps: a first device obtains a first data signal in a delay-Doppler domain and a pilot signal in the delay-Doppler domain; the first device maps the pilot signal in the delay-Doppler domain and the first data signal in the delay-Doppler domain to a time-frequency domain to obtain a pilot signal in the time-frequency domain and a first data signal in the time-frequency domain; and the first device transmits a time domain signal, the time domain signal being obtained according to a first time-frequency signal, the first time-frequency signal comprising the pilot signal in the time-frequency domain and the first data signal in the time-frequency domain, wherein the pilot signal in the time-frequency domain in the first time-frequency signal and the first data signal in the time-frequency domain in the first time-frequency signal are orthogonal.

This disclosure provides a channel estimation method, apparatus, and storage medium, relating to the field of communication technology, for channel estimation. The method includes: receiving a transmission signal and demodulating the transmission signal to determine a first resource block carrying the transmission signal; gaps existing among multiple pilot signals; inserting auxiliary pilot signals into the gaps according to the frequency domain distribution pattern of the multiple pilot signals in the first resource block, so that the multiple pilot signals in the first resource block are uniformly distributed in the frequency domain; determining the channel estimation value of the auxiliary pilot signal based on the channel estimation values ​​of the multiple first pilot signals; the multiple first pilot signals and the auxiliary pilot signal being located in the same time domain unit and adjacent to the auxiliary pilot signal in the frequency domain; and calculating the channel estimation value of a resource unit carrying transmission data based on the channel estimation value of each of the multiple pilot signals and the channel estimation value of the auxiliary pilot signal.

A method implemented at a receiver-side in a digital communication network includes receiving a received signal over a transmission channel, determining, by processing the received signal in a delay-Doppler domain, an estimate of cross-correlation between the received signal and a known reference signal that makes up the received signal, and estimating a delay-Doppler domain channel characteristic of the transmission channel based on the estimate of cross-correlation.

Embodiments of the present application provide a communication method, device, electronic equipment, storage medium and program product. The method comprises: a network device sends a synchronization signal block (SSB) and a pilot signal to a terminal device, the SSB is used to indicate the position of the pilot signal. The terminal device receives the pilot signal according to the SSB; and determines a Doppler frequency offset and a crystal frequency offset according to the SSB and the pilot signal. Through the above method, the terminal device can determine the Doppler frequency offset and the crystal frequency offset according to the pilot signal, thereby achieving the purpose of determining the Doppler frequency offset and the crystal frequency offset.

The application discloses a communication signal modulation method, device, equipment, medium and product, and the method comprises the following steps: sending a plurality of first bit training frames to a receiving end; receiving a measurement result obtained by the receiving end after rough channel measurement on each first bit training frame; when the measurement result meets a preset condition, sending a second bit training frame to the receiving end, receiving bit loading modulation information fed back by the receiving end after fine channel measurement on the second bit training frame, wherein the second bit training frame contains a pilot signal and a payload signal, the bit loading modulation information is obtained by performing channel estimation on the pilot signal and the payload signal respectively by the receiving end, and a plurality of signal-to-noise ratios are obtained based on the channel estimation; and modulating a communication signal of the sending end by using the bit loading modulation information to obtain a signal modulation result. The application can improve the modulation efficiency of the communication signal.

Described is a computing entity (203, 301, 501, 601, 701) for use in a mobile network (200, 300, 500, 600, 700, 800), the mobile network comprising a radio access network entity (201, 302, 502, 602, 702, 801) in communication with a user equipment device (202, 303, 503, 603, 703, 802), the computing entity being configured to: obtain (901) context information for the user equipment device; in dependence on the context information, consult (902) an address at a memory accessible to the computing entity containing one or more stored measurements; and in dependence on the stored measurements, determine (903) a pilot pattern in the frequency domain for uplink communications between the user equipment device and the radio access network entity. This may allow for the generation of a pilot pattern for uplink pilots in a frequency resources grid in a way that reduces the utilization of uplink signalling resources.

A communication control device for determining a signal for charging an electric vehicle according to one embodiment of the present invention may comprise: a connection unit which can be connected to an electric vehicle charging facility; a control pilot (CP) signal determination unit which acquires a CP signal for a predetermined time and checks the frequency and duty of each pulse included in the acquired CP signal; and a control unit which confirms the number of pieces of data within an effective range among the checked frequencies and duties, confirms whether the confirmed number of pieces of data is greater than a threshold value, and determines the frequency and duty of the CP signal by using the data within the effective range if the confirmed number of pieces of data is greater than the threshold value.

The application discloses a dynamic interference suppression method of multipath channel phase focusing and harmonic reverse phase cancellation, relates to the technical field of interference suppression, and comprises a path characteristic extraction module, which extracts sampling data of a received signal, constructs a received signal matrix, generates a pilot signal, carries out filter processing on a noise matrix, calculates a channel frequency response matrix, and extracts path characteristics by using a peak value detection method. The method can comprehensively calculate the time delay component contribution of the channel time domain response by discretizing the channel frequency response matrix through limited sampling points and combining all frequency components in the frequency bandwidth, can enhance the dynamic response capability of the channel model by introducing time-varying environmental characteristics through a dynamic path time delay function, can improve the signal characteristic correction precision through dynamic compensation of path time delay error phase rotation, and can realize the channel description process with path grouping as the core.

The present application relates to the technical field of precision phase measurement and digital signal processing, and particularly relates to a method and system for suppressing spectral aliasing and nonlinear distortion. The beat frequency signal is preprocessed and spectrum is constructed to obtain a normalized spectrum; peak value search is performed in a preset target frequency range to identify beat frequency, side frequency and pilot frequency signals to form an effective spectrum line set; nonlinear parasitic components are calculated to obtain folded parasitic spectrum lines, and the parasitic spectrum lines to be evaluated are obtained through constraint screening; branch processing is realized through suppression standard judgment, and selective narrowband notch suppression is performed on the parasitic spectrum lines meeting the conditions; digital heterodyne quadrature demodulation and low-pass filtering are performed on the signals before and after processing; and the suppression effect quantitative evaluation is completed according to the phase error and phase noise index, and the parameters are dynamically adjusted to realize the working condition adaptive optimization. The advantage lies in: accurately predicting and suppressing the composite interference, protecting the integrity of the effective signal, significantly improving the phase measurement accuracy and robustness, and widely applying to various scenes.

The application provides a communication method, device, equipment, chip, storage medium, product and program, and the method comprises the steps that a first device receives first information from a second device, the first information is used for indicating a first pilot signal of a control channel, and the first pilot signal is one or more of a plurality of pilot signals.

An integrated sensing and communication, ISAC, transmitter device (110) comprises a communication interface (113) configured to transmit one or more data communication signals for data communication with an ISAC receiver device (120) using a subset of a plurality of time and frequency resources of a time-frequency grid. Moreover, the ISAC transmitter device comprises processing circuitry (111) configured to allocate a plurality of pilot signals to a further subset of the plurality of time and frequency resources based on a measure indicative of the importance of a sensing performance relative to a data communication performance of the ISAC transmitter device. The communication interface is further configured to transmit the plurality of pilot signals to the ISAC receiver device and / or to a further ISAC receiver device. Thus, the ISAC transmitter device allows adjusting pilot signal allocation depending on the data communication performance relative to the sensing performance.

This invention provides a receiving device for joint decoding and implicit equalization in a high-speed mobile OFDM system. This receiving device acquires a time-domain received signal carrying image information and reconstructs the original image based on the time-domain received signal. The receiving device includes: an OFDM demodulator for performing OFDM demodulation on the received time-domain received signal to obtain a frequency-domain received signal; a hybrid channel estimator that uses a neural network to extract the dynamic fusion characteristics of the pilot signal in the time and frequency domains from the pilot signal of the frequency-domain received signal, and estimates channel state information based on the dynamic fusion characteristics; and a decoder that uses a neural network to perform semantic decoding and reconstruction based on the channel state information and the frequency-domain received signal to obtain the reconstructed original image. This invention effectively resists channel estimation errors and improves semantic image reconstruction performance by jointly decoding and reconstructing using channel state information and the frequency-domain received signal.

The disclosure relates to a cable assembly, a charging apparatus and methods for DC charging of electric vehicles. The cable assembly comprises an embedded identification circuitry configured to produce a digitally modulated output signal into a proximity pilot, PP, signal path of the cable assembly. The digitally modulated output signal determines a token that determines at least one characteristic of the charging assembly. The charging apparatus is configured to decode the digitally modulated signal to obtain the token and to determine at least one characteristic of the cable assembly based on the token. Based on the at least one characteristic of the cable assembly, the charging apparatus is configured to determine at least one setting of the charging dispenser to be applied for DC charging using the cable assembly.

The application relates to the field of multi-mode communication, in particular to a communication data management system and method based on a multi-mode network, which comprises a fading sampling module, a channel modeling module, an optical fiber transmission module, a link gain module and a channel solidification module, the fading sampling module is used for collecting pilot signals, the channel modeling module is used for calculating signal loss and constructing a channel model, the optical fiber transmission module is used for setting an optical fiber repeating antenna to perform cross-area signal repeating, the link gain module is used for broadcasting addressing signals, and the channel solidification module is used for solidifying a signal communication mode; the application can help to optimize receiver antenna design, reduce the error code phenomenon caused by signal fading, realize cross-blank area communication under a wireless signal shielding state, construct a three-dimensional communication network, improve the performance, reliability and applicability of a communication system, simultaneously realize dynamic resource scheduling, guarantee communication link stability and reduce the probability of communication interruption.

The application discloses a kind of intelligent fast beam training methods for low-altitude millimeter wave communication, belong to wireless communication technical field.The method includes: the channel and transmission model of low-altitude millimeter wave is established without cellular large-scale multiple-input multiple-output system;In the channel estimation stage, the channel is estimated using pilot signals and the user position is initially located;In the beam training stage, first, based on the positioning information obtained, a customized three-dimensional beam codebook is designed;Then, using an enhanced multi-agent deep Q-network algorithm, an efficient beam search is performed in the designed customized codebook, and an accurate three-dimensional beam alignment is achieved.The application effectively optimizes the beamforming process by combining customized codebook and intelligent learning algorithm, significantly reduces the complexity and overhead of beam training, speeds up the convergence speed, improves the system performance and reliability of downlink communication, and is suitable for high-mobility low-altitude unmanned aerial vehicle communication scenarios.

The application discloses a communication method and device, and belongs to the technical field of communication. The method comprises the following steps: receiving a reference signal; measuring the reference signal to obtain first measurement information, wherein the first measurement information is used for indicating the channel state of a first type of signal, and the first type of signal comprises a data signal and a pilot signal mapped to a same resource unit; and transmitting the first measurement information. Based on the above scheme, by reporting the measurement information of the first type of signal, the transmission of the first type of signal is enabled, so that the future data transmission form is adapted. The first type of signal can comprise the data signal and the pilot signal mapped to the same resource unit, and therefore, the application provides the scheme, which is helpful to improve the resource utilization rate.

A charging and discharging control apparatus for a vehicle is provided. The apparatus for a vehicle includes a processor that controls charging and discharging of electric energy of the vehicle and a storage that stores data and algorithms driven by the processor. The processor senses a voltage of a proximity detection signal line to determine whether a discharging connector for supplying a voltage to an outside of the vehicle or a charging connector for supplying a voltage to an inside of the vehicle is connected to an inlet of the vehicle, and determines whether a discharging start command is applied by sensing a voltage of a control pilot signal line when the discharging connector is connected.

This invention provides a time-domain correction method based on local adaptive thin-plate spline interpolation, comprising the following steps: S10, separating the pilot signal from the mixed measurement signal, performing fine phase tracking on the pilot signal, and extracting the phase noise sequence introduced by clock jitter; S20, converting the phase noise sequence into jitter at the sampling time; S30, determining the ideal sampling time, selecting several original sampling points adjacent to each ideal sampling time, obtaining a local interpolation subset, evaluating the jitter intensity of the local interpolation subset, and performing adaptive interpolation calculation accordingly to obtain the signal value at the ideal sampling time; S40, outputting the uniformly sampled signal sequence after interpolation reconstruction; this invention also provides a time-domain correction system based on local adaptive thin-plate spline interpolation. This invention solves the problems of poor real-time performance and weak adaptability of traditional TPS interpolation, achieving high-precision suppression of clock jitter noise and meeting the stringent requirements of phase measurement for space gravitational wave detection.

Provided are a channel separation method and system. The method includes: switching, by an intelligent reflecting surface or a relay between a base station and a terminal, a codebook of reflected pilot signals to a new codebook at a specified symbol position based on a pre-configured codebook reflection coefficient.

This invention discloses a method and system for integrated communication and sensing based on a large-scale intelligent reflector-assisted system. First, the invention characterizes the problems of channel estimation, beamforming design, and user location estimation during large-scale model training. Then, it designs a multi-task context learning mechanism, heterogeneous data reconstruction, and three network modules to organically incorporate three physically semantically distinct integrated communication and sensing tasks—channel estimation, beamforming design, and user location—into a unified model. Based on the uplink pilot signal sent by the user, the invention achieves the aforementioned three typical integrated communication and sensing tasks. Furthermore, this invention provides a differentiable reparameterized phase retrieval strategy for intelligent reflector phase shift, ensuring that the model output strictly meets hardware physical constraints. This overcomes the limitation of existing networks that can only handle single tasks, providing an efficient solution for large-scale intelligent reflector-assisted integrated communication and sensing.

A receiving method of a wireless signal performed by a wireless signal reception device includes: receiving the pilot signal and the velocity of the UAV by the antenna; performing a ground downlink signal reception and synchronization algorithm, including steps as follows: according to the position of the UAV, the position of the antenna and the transmission direction of the pilot signal, calculating an AoA; according to the frequency of the pilot signal, the velocity of the UAV and the AoA, calculating a doppler frequency shift; according to the doppler frequency shift, adjusting the frequency of the pilot signal; according to the preset time point corresponding to the pilot signal, adjusting the present time point of the pilot signal in a data symbol; according to the adjusted present time point, adjusting the sampling time point of the pilot signal. By the foregoing method, the doppler frequency shift is modified.