19 results about "Channel parameter estimation" patented technology

The present application relates to a kind of based on pilot enhancement live network channel parameter estimation method, device and storage medium, by utilizing the pilot information in the downlink signal of commercial mobile network, using high-precision estimation algorithm is preliminarily estimated to the transmission channel between signal from base station to the collection user, and based on the channel result of estimation, the data part in received signal is channel equalization, reconstruct the original data sent by symbol decision, then with the reconstructed data as original transmitting data, high-precision parameter estimation algorithm is applied again to carry out channel parameter estimation, compared with prior art, the present application has by the reconstruction and reuse of the data part of known transmission standard commercial signal, can reduce the data overhead for channel estimation, increase the air interface bandwidth that can be used for user data transmission, while transmission channel state still can obtain real reliable estimation result, with the advantages of accurate channel estimation, low data overhead and controllable calculation complexity.

The application provides a near-field channel parameter estimation method considering spatial non-stationary characteristics, which comprises the following steps: obtaining a multipath parameter initial value by using a far-field SAGE algorithm; calculating propagation distances of array elements at a transmitting end and a receiving end to scattering points, constructing a near-field channel response, and performing refined estimation on angle and distance parameters, time delay parameters and complex gain parameters of the multipath. Correlation operation is performed on a current residual signal and the near-field channel response in a frequency domain to obtain an array element level correlation metric. Continuous spatial non-stationary coefficients with a value of 0 to 1 are updated based on the correlation metric, and weighting iteration is performed on residual construction and parameter updating until a stop criterion is met, and near-field geometric parameters, time delay parameters, complex gain parameters of each multipath and spatial non-stationary coefficients of both transmitting and receiving ends are output. The method solves the problem of inconsistent multipath visible domains under XL-MIMO arrays, can suppress the influence of invisible array elements on parameter estimation, and improves the estimation accuracy and stability of the SAGE algorithm under the condition of near-field spatial non-stationary channels.

This invention discloses a target localization method for multiple-transmitter, multiple-receiver passive multistatic radar under interference conditions. The method includes: acquiring reference channel signals and echo signals and performing signal characterization preprocessing to obtain reference channel signal matrices and echo signal matrices; estimating channel parameters based on the reference channel signal matrices and echo signal matrices using the generalized likelihood ratio principle to construct a DPI-GRLT detector; solving the DPI-GRLT detector and calculating the detection statistics at each grid point to obtain the radar target information estimation result. This invention can maintain high localization accuracy and achieve rapid estimation and resolution of multiple targets even under weak signal conditions. As a target localization method for multiple-transmitter, multiple-receiver passive multistatic radar under interference conditions, this invention can be widely applied in the field of radar target localization technology.

The invention belongs to the technical field of wireless communication, and particularly relates to a fractional order adaptive optimization short wave channel parameter estimation method. Aiming at the time-frequency double-color dispersion characteristic caused by short-wave channel multipath and Doppler spread, firstly, the fractional order Fourier transform energy focusing degree is constructed as a self-adaption degree function, and the fractional order is mapped into the individual position of a sparrow; then, a sparrow search algorithm is utilized to adaptively search a global optimal fractional order in a given order interval, so that high calculation overhead of traditional traversal search is avoided, and meanwhile, the problem that single-peak search is easy to fall into local optimum due to low signal-to-noise ratio and multipath superposition is solved; and finally, peak information is extracted under the optimal fractional order, and joint estimation of multipath time delay, Doppler frequency shift and signal-to-noise ratio is completed. According to the method, the calculation complexity of order search is remarkably reduced while the parameter estimation precision is ensured, the estimation robustness in a low signal-to-noise ratio environment is improved, and good engineering realizability is achieved.

The invention discloses a channel parameter estimation method based on a multi-segment unique code frame structure and used for expanding a frequency offset estimation range. The method mainly comprises the following steps: sliding correlation estimation time delay; compensating time delay; accumulating and calculating phase angles; compensating phase jump; and estimating frequency offset and phase offset. According to the method, for a signal containing a multi-segment UW sequence frame structure, UW detection is carried out on a sequence to estimate symbol-level time delay, after compensation, a frequency offset estimation value and a phase offset estimation value are solved in a phase angle accumulation mode, the phase angle change trend of a multi-segment related sequence is utilized, effective deviation correction can be carried out through phase jump compensation correction based on conditional judgment, and the accuracy of the phase jump compensation correction is improved. Therefore, the frequency offset estimation range is expanded.

The invention discloses a channel and sensing self-adaption-oriented underwater acoustic communication integrated signal design method, and belongs to the technical field of underwater acoustic communication and positioning. The invention solves the problem that when the frequency band resource is limited, the traditional method is difficult to balance between the improvement of the positioning refresh rate and the improvement of the information transmission rate. The water surface end sends an instruction signal to wake up the underwater end, then the underwater end sends a channel measurement signal, the water surface end carries out channel parameter estimation by using a received signal, and then the optimal fixed-communication integrated signal frame structure design is completed according to a channel parameter estimation result and a user demand; according to the method, the design parameters of the optimal fixed-communication integrated signal are granted to the underwater end in a robust communication mode, and finally, the underwater end performs signal emission according to the designed fixed-communication integrated signal frame structure, so that channel parameter dynamic sensing and real-time optimization of the fixed-communication integrated signal frame structure can be realized; the static contradiction between the training sequence and the information symbol resource allocation is solved. The method can be applied to underwater acoustic communication integrated signal design.

A channel parameter estimation method based on multi-segment unique code frame structure for extending frequency offset estimation range mainly includes the following steps: sliding correlation estimation time delay; compensating time delay; accumulating phase angle; compensating phase jump; estimating frequency offset and phase offset. The method is used for signals containing multi-segment UW sequence frame structure, estimates symbol level time delay of the sequence through UW detection, and obtains frequency offset estimation value and phase offset estimation value through the way of accumulating phase angle after compensation. The phase jump compensation correction based on conditional judgment can effectively correct the deviation by using the phase angle change trend of the multi-segment correlation sequence, so as to achieve the purpose of improving the frequency offset estimation range.

This disclosure relates to the field of wireless communication technology, and in particular provides a CQI determination method, device, medium, program, and product. The method includes: receiving a downlink reference signal transmitted by a base station, and performing channel estimation based on the downlink reference signal to obtain channel state information, the channel state information including channel parameter estimation information, precoding matrix identifier (PMI) estimation information, channel estimation information, and noise estimation information; determining channel scenario parameter values ​​based on the channel parameter estimation information, and determining a target channel quality information lookup table corresponding to the channel scenario parameter values ​​and the current modulation and coding scheme from a candidate channel quality information lookup table of multiple channel scenarios; determining the signal-to-noise ratio (SNR) based on the PMI estimation information, channel estimation information, and noise estimation information, and determining the wM (Wide Information Mining) corresponding to each CQI based on the SNR and a mapping model of SNR and mutual information (MI); determining a target CQI based on the wM corresponding to each CQI and the wM threshold associated with each CQI in the target channel quality information lookup table. This disclosure improves the efficiency and accuracy of CQI determination.

This invention relates to a method for simultaneous localization and mapping (SLAM) assisted by a UAV equipped with a reconfigurable smart surface (UAV-RIS), addressing the problems of parameter decoupling difficulties caused by cascaded channels and large amplitude-based localization and mapping errors due to signal strength distortion. The method includes: 1) constructing a nested parallel factor model of the received signal and performing tensor decomposition using a bilinear alternating least squares method to achieve joint channel parameter estimation and signal detection; 2) initializing and removing outliers using an amplitude-independent geometric inference method based on the estimated geometric parameters; and 3) optimizing the model using a weighted least squares method to determine user state and environmental characteristic parameters. This method reduces the impact of amplitude model mismatch and improves parameter estimation accuracy in complex channel environments, making it suitable for autonomous localization and mapping in low-altitude wireless networks.

A wireless transmit / receive unit (WTRU) may sample a latent vector from a pre-defined channel distribution. The WTRU may input the latent vector to a trained generative artificial intelligence (AI) / machine learning (ML) model. The trained generative AI / ML model may be trained to output channel-related parameters associated with each path of a plurality of paths of an over-the-air (OTA) communication channel based on the latent vector. The WTRU may input the channel related parameters associated with each path of the plurality of paths of the OTA communication channel to a non-AI / ML model. The non-AI / ML model may be configured to produce a channel matrix. The WTRU may use the channel matrix to perform one or more of a channel state information (CSI) compression, CSI prediction, beamforming, positioning, and / or performance monitoring.

The invention provides a channel gain map reconstruction method and system based on cross-cluster fusion and spatial neighbor, relates to the technical field of wireless communication, and is technically characterized in that the method comprises the following steps: sampling and storing sampling points in the form of a specification grid; dividing the region by using a clustering algorithm so as to better estimate channel parameters; after the sampling region division is finished, estimating channel parameters in each divided region by using a channel parameter estimation algorithm for final channel gain prediction; and after the channel parameters of each region are obtained, predicting the channel gain of the to-be-estimated point by using k-nearest neighbor strategy cooperation. The invention provides a channel gain prediction mechanism based on multi-cluster parameter fusion and spatial proximity, high-precision CGM reconstruction can be realized only according to spatial distribution and channel measurement values of limited sampling points without depending on prior environment labels such as NLoS / LoS, the dependence of a system on real-time channel state information measurement and feedback is remarkably reduced, and the system performance is improved. And the signaling overhead is effectively reduced.

The application relates to the technical field of quantum communication transmission, and discloses a continuous variable quantum key distribution system parameter estimation method and system, wherein the method comprises the following steps: acquiring original data in an original data buffer pool; outputting sampling data by adopting an index sampling method; outputting multiplexing sampling data that passes authentication by adopting a message authentication code checking method; outputting grouping phase estimation values by adopting a grouping phase searching method; outputting phase compensation data by adopting a segmented linear interpolation compensation method; and performing channel parameter estimation and security code rate determination. Since the application discloses the public information of the multiplexing phase compensation process and the parameter estimation process, and performs message authentication on network interaction data, the original data utilization rate and the code rate are improved while the parameter calculation precision is ensured, and the accuracy and the security of the continuous variable quantum key distribution system are ensured.

The invention discloses a dynamic network communication system simulation method based on digital snapshots, and belongs to the technical field of simulation. The method comprises the following steps: modeling a channel parameter estimation process of a single path into a Markov decision process, and constructing a state space containing residual signal characteristics, historical time delay parameters and the like; based on the reinforcement learning strategy network, according to the current state, outputting a continuous action for adjusting a path time delay parameter and a complex amplitude parameter; updating a channel parameter of a corresponding path according to the action and reconstructing a channel component; calculating a composite reward function according to the cross-correlation energy, the residual energy drop amount and the time delay variation amplitude, and updating strategy network parameters based on the reward function; sequentially executing the steps on each path in the multi-path channel, and gradually converging the parameters of the multi-path channel through multi-round iteration; and storing the digital snapshots and simulation calculation results in a database, and performing offline training or online fine tuning by using historical snapshots. According to the method, the simulation calculation and storage overhead can be remarkably reduced.

The invention relates to a cell measurement method, device, equipment, chip and chip module, and the method comprises the steps: receiving multi-symbol time domain data sent by a plurality of antenna channels, carrying out the time-frequency conversion of the time domain data through a time-frequency conversion module according to a configuration mode, and obtaining frequency domain data; the frequency domain data is transmitted to the coarse channel estimation module in a pipeline mode, the coarse channel estimation module carries out first channel estimation according to the configuration mode and the frequency domain data to obtain first estimation data, and the first estimation data is transmitted to the channel parameter estimation module and the fine channel estimation module in a serial processing mode; second channel estimation is carried out through a channel parameter estimation module according to the configuration mode and the first estimation data to obtain second estimation data, and third channel estimation is carried out through a fine channel estimation module according to the configuration mode and the first estimation data to obtain third estimation data; and finally, determining a target estimation result according to the second estimation data and the third estimation data.

The invention discloses an OTFS system channel estimation method and device based on conjugate pilot frequency and multi-resolution phase search, and belongs to the technical field of wireless communication. The method comprises the following steps: firstly, constructing a transmission frame structure comprising a pair of conjugate pilots in a delay Doppler domain; after a receiving end carries out OTFS demodulation on a received signal, a channel estimation matrix corresponding to two pilot frequencies is obtained, initial channel parameter estimation is carried out based on the channel estimation matrix, and time delay, Doppler and amplitude information of each channel path is obtained. Then, multi-resolution phase search is executed for each path, pilot response in a delay-Doppler domain is directly calculated by constructing a test channel, the optimal phase of each path is iteratively searched from coarse to fine by taking the minimum absolute deviation between the response and an actual receiving value as a criterion, and finally, high-precision channel impulse response is synthesized. According to the method, the accuracy of phase information in channel estimation is remarkably improved, and the method is particularly suitable for a high-speed moving scene and a visible light communication system with strict requirements on the peak-to-average power ratio.

Method of channel noise estimation for a continuous variable quantum communication channel, the method comprising in a receiver device (400) receiving a signal through a public transmission media (200) and processing a recovered quantum signal using channel parameter estimation (Eq6), evaluating an amount of excess noise A controlled amplitude modulation (401) is performed in the receiver device (400), to form said recovered quantum signal from the signal received through the public transmission media (200) by the receiver device (400), the method comprising evaluating, using the controlled amplitude modulation (401) a subamount of said amount of excess noise dependent from the channel (QC).

The invention relates to the field of wireless communication, in particular to a communication signal processing method for 5G fusion perception. The method comprises the following steps: acquiring a network topology, a reference signal list, a probe list and a resource budget parameter group, completing field mapping table registration, unifying time reference registration and session identifier registration, and forming a session identifier recording structure; collecting and receiving baseband sampling, extracting a pilot frequency observation abstract, performing time alignment, and generating an alignment data packet and a quality mark table; generating a perception observation abstract based on the alignment data packet and the quality tag table, extracting a candidate parameter set and assembling an evidence slot record set, and generating a prior constraint packet; and executing joint channel parameter estimation based on the evidence slot record set and the prior constraint packet, extracting uncertainty records, generating pilot frequency reconfiguration suggestions, and outputting detection strategy configuration. According to the method, a through link of acquisition, alignment, evidence assembly, estimation and configuration is realized, and the consistency of evidence organization and the traceability of detection strategy configuration are improved.

This invention relates to the field of wireless communication technology, providing an iterative channel estimation and compensation method, apparatus, device, medium, and product. The method includes: S100, sampling the output signal of the link to be estimated to obtain a baseband signal; S200, estimating the IQ imbalance parameters and equalization coefficients based on the baseband signal, and using the IQ imbalance parameters and equalization coefficients to compensate for non-ideal channels. Specifically, an iterative feedback correction strategy is used when estimating the IQ imbalance parameters, and an asymptotic optimization strategy for the equalization order is used when estimating the equalization coefficients. This invention achieves non-ideal channel parameter estimation through inter-module parameter iterative feedback and equalizer order asymptotic optimization strategy, and finally designs a corresponding channel compensation filter to achieve comprehensive compensation for channel distortion, solving the reception difficulties and loop lock-out problems caused by non-ideal channel characteristics of broadband high-order signals.

The invention relates to a channel parameter estimation method and device, equipment, a medium and a product, and the method comprises the steps: obtaining a frequency domain reference signal and a receiving signal of a to-be-estimated channel, and determining a first channel response of the to-be-estimated channel based on the frequency domain reference signal and the receiving signal; performing time domain sliding window search on the first channel response based on a minimum mean square error criterion and a maximum signal-to-noise ratio criterion to obtain a first parameter estimation result and symbol timing synchronization information of the to-be-estimated channel; performing statistical estimation processing on the first channel response based on the first parameter estimation result and the symbol timing synchronization information to obtain a second channel response; and performing frequency domain sliding window search based on a minimum mean square error criterion on the second channel response to obtain a target parameter estimation result after the first parameter estimation result is optimized. The accuracy of channel parameter estimation and the robustness of the system can be effectively improved on the premise of not depending on ideal synchronization.