46 results about "Soft information" patented technology

The invention provides a compression method and device for soft information in a signal demodulation process and electronic equipment. The method comprises the following steps: acquiring linear soft information output by demapping in a signal demodulation process, wherein the linear soft information has a preset dynamic range; the linear soft information is subjected to dynamic range compression processing through a nonlinear quantization algorithm, nonlinear soft information is obtained, and the number of quantization levels allocated to low-amplitude soft information by the nonlinear quantization algorithm is larger than the number of quantization levels allocated to high-amplitude soft information by the nonlinear quantization algorithm; and outputting the non-linear soft information to a decoder, so that the decoder restores an original hard bit stream transmitted by a signal transmitting end based on a confidence coefficient characteristic in the non-linear soft information, and the bit width of the non-linear soft information is adaptive to the bit width constraint of the decoder on the input information. According to the invention, information loss in a signal demodulation process can be reduced.

The invention discloses a data processing method, device and equipment for a QC-LDPC decoder. The method comprises the following steps: storing posterior probability information into a first memory; in the reading stage of the QC-LDPC decoder, soft information corresponding to a layer where a check matrix is located is read from a first memory or a second memory, a check node value corresponding to the layer where the check matrix is located is read from a third memory, and a variable node update value is stored in the second memory; and in a write-in stage of the QC-LDPC decoder, reading the variable node update value from the second memory, storing the check node update value to a third memory, storing the soft information update value to the first memory and the second memory, and storing the soft information update value to the second memory. And the decoding result is read from the second memory after iteration is completed. By optimizing caching and calling of information such as check nodes, variable nodes and soft information, use of memory resources is reduced.

The application relates to the technical field of decoding, and provides a source channel joint decoding method and device, electronic equipment and a storage medium, the method comprising the following steps: acquiring initialization information of a channel encoder and prior probability information of a variable node of a source decoder; determining check node information of the source decoder based on the initialization information and the prior probability information; and performing the following iterative steps, which comprise the following steps: updating soft information of the variable node of the source decoder based on the check node information and the initialization information; and performing decoding decision based on the updated soft information to determine a decoding result. The method determines the check node information of the source decoder based on the initialization information and the prior probability information, iteratively updates the soft information of the variable node of the source decoder based on the check node information and the initialization information, that is, uses the information of the source as the soft information available in the decoding process, improves the coding gain, and thus improves the accuracy of the source channel joint decoding.

This application provides an LDPC multi-level coded transmission method, apparatus, and electronic device, introducing a multi-level coded modulation scheme to achieve inter-stream and inter-bit code rate allocation based on channel quality differences, and implementing joint iterative optimization of detection and decoding at the receiver. At the transmitter, multi-level coded modulation is performed according to a pre-constructed parameter table, which allocates code rates at the sub-stream level and between bits for single-stream or multi-stream data. High-reliability streams / bits use higher code rates, while low-reliability streams / bits use lower code rates, thus achieving fine-grained code rate allocation. At the receiver, MIMO detection, demodulation, and decoding are jointly iteratively processed according to the corresponding multi-level coded modulation structure based on the same parameter table. Joint optimization of detection and decoding performance is achieved through hard or soft information feedback mechanisms, providing a high-spectral-efficiency and high-reliability transmission scheme for future mobile communication systems.

Acceleration of S-polarized ECC throughput by a scheduler is disclosed. A method of simplified successive cancellation list (SSCL) error decoding of an S-polar code includes representing an S-polar code as a perfect binary tree; providing a node v with a soft information vector from a parent node of v to compute a soft information vector for a left child node of v; providing v with a hard decision vector from the left child node and using it with to create a soft information vector and pass it to a right child node of v; providing v with a hard decision vector from its right child node and using it with to create a hard decision vector β v and pass it to its parent node; when v is an i-th leaf node of the perfect tree, updating two path metrics and selecting a path obtained by extending a current path by the lowest path metric.

This invention discloses a method and system for a multi-mode fusion wireless communication chip. By constructing a four-dimensional joint observation vector set, the received signals of different communication systems are regarded as observations of the same channel under different projection spaces. Then, the local coherent structure is extracted and piecewise fitting is performed on the four-dimensional complex unit sphere to generate a piecewise constant joint channel state identifier sequence. This sequence does not depend on pilot symbols and is derived only from the consistency of the received signal itself, possessing low overhead, fast response, and strong cooperative characteristics. On this basis, resource allocation, parameter configuration, phase preset, interference cancellation, and soft information fusion are all carried out around the same joint channel state identifier, making the originally fragmented reception processes of each system form a closed-loop linkage. Therefore, it achieves a significant reduction in channel state representation overhead, close synchronization between state updates and actual channel changes, and deep cooperation between the physical layer and demodulation layer of multiple systems.

The invention discloses a communication system of an improved parallel cascade LDPC code structure based on a single encoder, and belongs to the technical field of aviation platform laser communication. Aiming at the bottlenecks that the traditional PCGC depends on double encoders, the hardware overhead is large, the decoding delay is high and the complementarity requirement on component codes is harsh, the system adopts a single encoder architecture design: firstly, a basic verification sequence is generated through a single LDPC encoder, and differential verification constraints are constructed through interleaving and repeating operations; meanwhile, a zero syndrome and non-zero syndrome dual-check sequence design is introduced, so that the minimum distance of a code word is increased; a decoding end fuses a normalized minimum sum algorithm and a hierarchical message updating and dynamic early stop mechanism, combines channel sensing soft information construction and a self-adaptive interleaving and redundancy allocation strategy, and adapts to composite channel characteristics of an aviation platform.

This invention discloses a joint blind channel estimation and modulation identification method based on adaptive hybrid regeneration, belonging to the field of blind signal processing in communication. This method addresses the problems of error propagation caused by hard-decision regeneration and excessive computational complexity of soft-information regeneration in iterative blind receivers by introducing an adaptive hybrid decision regeneration mechanism into the iterative loop of channel estimation and data detection. This mechanism dynamically sets a threshold based on the confidence level of the posterior log-likelihood ratio output by the decoder, using hard decision for high-confidence information and soft decision for low-confidence information, and adaptively adjusting the threshold based on the target soft decision rate to balance performance and computational overhead. This invention can effectively suppress error propagation under conditions of unknown modulation coding and channel state, achieving reliable joint blind estimation and identification with controllable computational complexity.

A method for generating soft information for a digital signal decoder. The method includes receiving a first plurality of signals, each corresponding to a time index, each time index being associated with two states including state 1 and state 0. The method also includes processing the first plurality of signals to calculate path metric values of state 0 and 1 for generating each of a second plurality of most-likely symbols by hard decisions and intermediate information for a most-likely path and a second-likely path at each time index. The method includes computing a difference between the most-likely path and a second-likely path for a given one of the two states at each time index. The method also includes determining a soft information corresponding to either one of the two states at the time index per one of the second plurality of most-likely symbols.

The invention discloses an enterprise credit analysis and rating method based on multi-source soft information processing, and belongs to the technical field of data processing, and the method comprises the steps: obtaining multi-source information data containing soft information and hard information; preprocessing the multi-source information data to generate preprocessed data; extracting feature data used for representing credit conditions from the preprocessed data; comparing different source features in the feature data to generate a consistency evaluation result between the feature data; performing dynamic weighted fusion on the feature data based on a consistency evaluation result to generate fused feature data; and inputting the fused feature data into the credit rating model to generate a credit rating result, and adopting a technical means of generating a consistency evaluation result by comparing different source features in the feature data and performing dynamic weighted fusion on the feature data based on the result to effectively improve the accuracy and reliability of enterprise credit rating.

The invention discloses a multi-mode fusion wireless communication chip method and system, and the method comprises the steps: employing different communication system receiving signals as observed quantities of a same channel in different projection spaces through constructing a four-dimensional combined observation vector set; extracting a local coherent structure, and implementing segmentation fitting on the four-dimensional complex unit spherical surface to generate a segmentation constant joint channel state identification sequence; the sequence does not depend on a pilot symbol, is only derived from the consistency of a received signal, and has the characteristics of low overhead, fast response and strong coordination; on the basis, resource allocation, parameter configuration, phase presetting, interference cancellation and soft information fusion are all carried out around the same joint channel state identifier, so that the receiving process of each originally split system forms closed-loop linkage; therefore, the channel state characterization overhead is obviously reduced, the state update and the actual channel change are tightly synchronized, and the physical layer and the demodulation layer among multiple systems are deeply coordinated.

The application discloses a kind of soft demodulation methods for low signal-to-noise ratio 188-110A signal under large frequency offset, it is related to communication technical field, comprising: S1, preamble sequence detection and preamble sequence coarse synchronization based on autocorrelation;S2, prepare baseband preamble reference modulation signal;S3, preamble sequence fine synchronization based on differential cumulative correlation;S4, M&M and L&R joint frequency offset estimation and frequency offset correction based on preamble reference signal;S5, according to D1, D2 value table in 188-110A protocol, the demodulation of interleaving indicating D1, D2;S6, the frame search and frame demodulation of data are executed;S7, after the frame constellation of data is disturbed, the soft information of data frame is obtained;S8, based on 188-110A protocol, the deinterleaving of data frame soft information is completed by corresponding bit storage and reading mode, then it is decoded.After compared with prior art, signal detection anti-frequency offset is improved from ±0.4% to ±100%, signal detection performance is improved about 3dB gain, signal demodulation decoding performance is improved about 2.6dB gain.

The present application relates to the technical field of communication, especially to a processing method of QC-LDPC decoder, the method comprising: obtaining soft information of QC-LDPC decoder; performing field splicing on the soft information to obtain spliced code block set; performing decoding on the spliced code block set to obtain decoding information field; deleting zero-puncturing bits in the decoding information field to obtain standard information field. The method improves the working efficiency of QC-LDPC decoder, makes QC-LDPC decoder compatible with different code length and code rate of QC-LDPC code, and further makes QC-LDPC decoder work flexibly and in real time according to different protocols.

The application discloses a kind of DNA storage in prior information VT code iterative decoding method, system and storage medium, it is related to DNA storage technical field.The method is first obtained systematic code word sequence by VT code, generates noisy reception sequence by ID model simulation channel transmission;Again, joint grid chart is constructed and initialized, and soft information and bit decision information are obtained by completing SISO decoding calculation, and channel parameters are updated based on MAP drift tracking;After convergence by iterative control, multiple independent estimated code words are obtained, and finally original information sequence is recovered by multi-sequence majority voting fusion.The application constructs decoding-estimation closed-loop iteration framework, does not need prior channel parameters, can adaptively learn channel characteristics, capture error hot spot, improve decoding robustness by combining multi-sequence fusion, realize original data high reliability recovery, and promote DNA storage practicality.

The present disclosure includes apparatuses and methods for monitoring error correction operations performed in memory. Several embodiments include a memory and a circuit configured to determine a quantity of error data corrected during an error correction operation performed on soft data associated with sensed data states of several memory cells of the memory, determine a quality of soft information associated with the error data corrected during the error correction operation performed on the soft data, and determine whether to take a corrective action on the sensed data based on the quantity of error data corrected during the error correction operation and the quality of soft information associated with the error data corrected during the error correction operation.

The application relates to the communication field and discloses a channel data decoding method, device and equipment for a MIMO system, wherein the method comprises the following steps: acquiring a receiving signal matrix output by a MIMO channel; determining an estimated matrix of a sending signal matrix based on the receiving signal matrix; acquiring soft information of each estimated symbol in the estimated matrix to construct a soft information matrix of the estimated matrix; iteratively updating the soft information matrix; in any iteration round, decoding and updating the soft information matrix of the current iteration round to obtain a candidate codeword list set of the current iteration round; after the iterative updating is completed, determining a target codeword matrix based on the candidate codeword list set of the last iteration round; checking the target codeword matrix; and outputting information corresponding to the target codeword matrix as a decoding result when the checking result represents that the target codeword matrix is correct. The technical scheme provided by the application can reduce the bit error rate and the missing detection rate of channel transmission and significantly improve the decoding performance.

A memory device includes a memory cell array; and a memory controller configured to determine corrective read information. The memory controller is configured to: perform a hard read on a victim memory cell based on a hard read threshold to estimate a memory state of the victim memory cell, perform one or more soft reads on the victim memory cell to generate soft information for the victim memory cell, calculate an initial error correction confidence value of the victim memory cell based on the hard read and the soft information, perform a hard read on a neighboring aggressor memory cell to determine a memory state of the neighboring aggressor memory cell, and refine the initial error correction confidence value of the victim memory cell, based on the hard read on the neighboring aggressor memory cell, to generate a refined error correction confidence value of the victim memory cell.

The invention discloses a QC-LDPC decoding FPGA pipeline implementation method and device. The method comprises the steps that a first lookup table, a second lookup table, a first storage array and a second storage array are constructed on an FPGA; receiving demodulated code word soft information, calculating the log-likelihood ratio of each bit, and writing the log-likelihood ratio into a first storage array; decoding iteration is executed according to a row traversal mode after parameter initialization, and an intermediate message and a log-likelihood ratio are updated; dividing the operation of each row of verification equations into a plurality of serial assembly lines; after all check nodes finish one-time pipeline processing, if the current iteration number is smaller than the maximum iteration number and a check equation which does not meet the parity check constraint exists, iteration is returned, and otherwise, decoding is ended; and performing hard decision on the symbol of the final log-likelihood ratio to obtain a decoding bit sequence, and outputting the decoding bit sequence. According to the invention, the occupation of FPGA storage resources is reduced, the compromise between performance and complexity is realized, the decoding throughput rate is improved, and the time delay is reduced.

The invention discloses a soft information acquisition method, a controller, electronic equipment and storage equipment, and relates to the technical field of flash memories. The soft information acquisition method can be applied to cloud computing software. The method comprises the following steps: performing data reading generation processing on a to-be-tested flash memory for a preset number of times based on a reference interpretation voltage and voltage offset information to obtain a plurality of soft bit data, and storing each soft bit data in different second cache units in sequence; third reading processing is carried out on the flash memory to be tested, and hard bit data obtained through reading is stored in the first cache unit; soft information is generated according to the hard bit data read from the first cache unit and the soft bit data read from all the second cache units, and LDPC soft decoding operation is carried out according to the soft information. The demand quantity of the cache unit can be greatly reduced, cache resources are saved, and meanwhile, the soft information acquisition efficiency is improved.

A data receiving device with a blind deconvolution mechanism. A descrambling circuit descrambles the received data based on a single-antenna assumption and N data position assumptions within a transmission period, generating N sets of soft-bit data. A soft information processing circuit extracts bit position information to determine invariant and variable bit positions for a blind deconvolution process, including: cyclically storing and superimposing N sets of soft-bit data to generate N sets of superposition results, corresponding to N data position assumptions in N buffers of a buffer circuit; and retaining data corresponding to invariant bit positions at the start of a new transmission period. A post-processing circuit deinterleaves and decodes the N sets of superposition results corresponding to each data sub-block to generate N sets of decoded results for verification. When any N sets of decoded results pass verification, the soft information processing circuit terminates the blind deconvolution process.

The embodiment of the invention provides a binary linear code decoding method and device and a storage medium, and the method comprises the steps: receiving channel soft information, obtaining a check matrix, carrying out the hard decision of the channel soft information, obtaining a receiving sequence and a syndrome, and carrying out the decoding of a binary linear code if the value of the syndrome is not a zero vector. And sorting the receiving sequence and the check matrix according to the reliability of the channel soft information to obtain the sorted receiving sequence and check matrix. Performing XOR operation on column elements of the sorted check matrix corresponding to the test error mode generated according to the logic weight and the syndromes to obtain test error mode syndromes, and if the values of the test error mode syndromes are all not zero vectors, disturbing channel soft information by using disturbance noise, and if the values of the test error mode syndromes are not zero vectors, disturbing channel soft information; and repeatedly performing hard decision on the channel soft information to obtain a receiving sequence, a syndrome and a subsequent process. The decoding method provided by the invention is relatively low in overall decoding complexity, does not depend on the structure of a linear code, and has good universality.

The invention discloses a decoding method and device based on rate matching pattern recognition, a medium and a product, and relates to the technical field of communication. The method comprises the following steps: determining an information bit and a frozen bit in a received sequence to be decoded based on a decoding parameter, and forming bit mapping distribution; determining a rate matching mode matched with the to-be-decoded sequence based on the relationship of the decoding parameters, and generating decoding control information used for controlling a decoding process termination opportunity based on the rate matching mode; executing inverse rate matching operation corresponding to the rate matching mode on the to-be-decoded sequence to obtain a soft information sequence; and decoding the soft information sequence, stopping decoding when identifying that the position of the currently processed bit reaches the position indicated by the decoding control information, and outputting the information bit. According to the scheme provided by the invention, the decoding efficiency of the Polar code can be improved on the premise of not influencing the decoding result.

This invention discloses an optical transmission system based on FEC (Fiber Optic Expansion Coefficient) extended perturbation fiber nonlinearity compensation technology, belonging to the field of optical fiber communication technology. Its receiver includes, in sequence, an adaptive perturbation equalization module, a soft-decision demodulation module, a deinterleaving module, an FEC decoding module, an interleaving module, and a soft-information-based symbol reconstruction module. The adaptive perturbation nonlinear equalization module has a dual-input structure, connected to the output of the soft-information-based symbol reconstruction module in addition to the received signal. The output data of the interleaving module is added to the output data of the soft-decision demodulation module and then input to the second input of the soft-decision demodulation module. The output of the FEC decoding module uses the same decoding method as the transmitter to output the received bit result. This invention can improve the receiver sensitivity and fiber nonlinearity tolerance in optical systems.

This invention discloses a method, system, and medium for coordinating information in continuous-variable quantum key distribution, relating to the field of quantum secure communication technology. The method includes: acquiring initial coherent state data from both parties in a continuous-variable quantum key distribution system; performing reliability enhancement processing on the initial coherent state data falling within a preset fault-tolerant interval, and calculating the reliability of data not falling within the interval and the enhanced data; dividing the data not falling within the interval and the enhanced data according to the reliability and allocating them to a multi-dimensional coordination branch and a slice coordination branch; calculating the log-likelihood ratio soft information in each branch; matching the log-likelihood ratio soft information obtained from each branch with the forward error correction code to meet reliability requirements, performing hybrid forward error correction decoding and verification, and generating a consistent secure key. This invention improves the reliability of soft information, overcomes the performance limitations caused by the independent processing of traditional coordination branches, and improves the coordination efficiency and final secure key rate of the quantum key distribution system.

The invention provides an ultrahigh code rate demodulation method and system based on a neural network, and relates to the technical field of electrical data processing, and the method comprises the steps: firstly obtaining a multi-source parameter and a down-conversion sampling sequence of receiving equipment, and generating a high-dimensional feature tensor through parallel time-frequency representation processing; then, amplitude and phase distortion is corrected by adopting a self-adaptive equalization technology, and symbol stream alignment is realized through joint timing carrier synchronization; soft information is generated through probability judgment and decoding auxiliary processing, and finally demodulation information is output through iterative refinement. According to the method, the neural network is embedded into the whole demodulation process, through feature mapping, parameterization correction and multi-round consistency verification, the performance bottleneck of a traditional algorithm under a high dynamic channel is broken through, and the transmission reliability and the adaptive capacity of a satellite link are remarkably improved.

The application discloses a kind of based on multistage soft information and adaptive code rate's key generation method and related device, belong to wireless communication technical field, comprising: according to the channel state information estimated by the sending end obtains channel quality indicator, according to the channel quality indicator determines coding mode;Generation sending end's channel soft information sequence and receiving end's channel soft information sequence;Obtain the key of sending end, according to the coding mode determined to the key of sending end is encoded, obtains code word, according to the channel soft information sequence of sending end, bit by bit traverses code word, generates code word alignment table T;According to the channel soft information sequence of receiving end and code word alignment table T generates the key of receiving end, this method and related device can generate key, and with the characteristics that resource utilization ratio and key generation rate are higher.

The invention discloses a multi-model collaborative AI substitute chat marriage matching method and system based on dynamic personality and threshold takeover, and a storage medium. And collecting hard / soft information to generate an initial personality vector, and backfilling evidence with RFI + TTL in substitute chat to dynamically update the personality. Hard filtering and soft sorting are firstly carried out, threshold value compatibility screening is carried out, then an AI substitute chat sandbox is entered, the AI is obviously identified, and contact information / external links / PII are prohibited. The scoring device continuously calculates bidirectional scores SAB and SBA, weights of sensitive attributes are reduced, fair constraints are applied, and explainable evidences are output. And only when the two-way scores simultaneously reach a threshold value, a real person is triggered to take over and exit from the substitute chat domain, and substitute chat records and selectable contact information are opened through secondary grading agreement. The system modularization realizes identity and privacy management, matching with a threshold state machine, security evidence storage, telemetering and strategy gray level and SDK / API gateway.

Disclosed are a decoding method, apparatus, device, medium and product, the method comprising: in response to a decoding request for target data, dividing the target data into at least one sub-block according to a preset length, the target data comprising system sequence soft information, verification sequence soft information and prior information; performing multi-channel parallel computing on the target data according to a pre-stored state transition table, and respectively determining current branch metric information of each sub-block, current forward state metric information of the target data and current backward state metric information of the target data; determining a posterior probability log-likelihood ratio and extrinsic information of each sub-block according to the current branch metric information, the current forward state metric information and the current backward state metric information; and determining a decoding result for target data according to each posterior probability log-likelihood ratio. According to the technical characteristics, the decoding complexity is reduced, the calculation time delay is reduced, and the decoding efficiency is improved.

The invention relates to the technical field of electric digital data processing, discloses a high-speed data communication and noise suppression method for a digital isolator, and provides a cross-layer collaborative optimization scheme for solving the problem that data distortion is caused by the fact that an existing digital isolator is easily influenced by noise during high-speed communication. The method comprises the following steps: at a sending end, compensating high-frequency attenuation of an isolation channel by adopting a self-adaptive pre-emphasis technology, and carrying out channel coding on data to be transmitted; and at a receiving end, sampling the signal by using a dynamic threshold comparator to obtain soft decision data containing amplitude information, and performing Viterbi decoding based on the soft information to correct a transmission error. According to the invention, a hybrid automatic retransmission mechanism is combined, and the coding rate is adaptively adjusted according to the channel quality. According to the invention, through joint optimization of the physical layer and the link layer, the data transmission rate and reliability of the digital isolator in a high common-mode transient noise environment are significantly improved, and the data integrity is effectively ensured.

The invention relates to a decoding method and device, signal receiving equipment and a processor readable storage medium. On the basis of a candidate code word sequence of a received signal to be decoded, under the condition that the candidate code word sequence does not pass verification, reliable channel soft information of the received signal is obtained, then the received signal is decoded according to the reliable channel soft information, and a decoded information sequence of the received signal is obtained. Wherein the reliable channel soft information is channel soft information of other bits except the error bit in the received signal. According to the scheme, decoding errors can be effectively corrected only by performing the re-decoding process once, and the complexity of re-decoding is greatly reduced while the final decoding correctness is effectively guaranteed.