74 results about "Soft information" patented technology

The invention belongs to the technical field of communication, and particularly relates to a multiplication active code decoding method based on an SO-ORBGRAND decoder. The SO-ORBGRAND decoder outputs soft information by calculating a correct posterior probability of a conjecture code word sequence, and high-performance decoding is realized through soft information exchange and optimization processing between the row decoder and the column decoder. In the iteration process, a method for judging the validity of the code word through the check matrix is designed by utilizing the polarization characteristic of the multiplication active code, so that the iteration is supported to jump out in advance to reduce the complexity. The invention provides a multiplication active code decoding algorithm based on an SO-ORBGRAND decoder, and compared with various non-system multiplication active code decoding algorithms and the performance of traditional long-code polarization codes, the method has remarkable advantages in error correction performance; a method for judging the validity of the code word through the check matrix by utilizing the polarization characteristic design of the multiplication positive code is provided, the complexity is reduced while the judgment success rate is improved, and the implementation overhead is reduced.

The application provides a polar code soft input soft output decoding method, a decoding device and a communication device; the decoding method comprises the following steps: (S1) performing fast serial cancellation list decoding under dynamic frozen bit constraint for all special nodes constituting a polar code; the types of the special nodes comprise rate zero, rate one, repetition and single parity check; (S2) calculating the approximation of the sum of the posterior probabilities of the legal code words not accessed under each special node after decoding; (S3) using the approximation of the code book probability obtained in the step (S2) to calculate the bit level soft information of the output polar code. The low-latency polar code soft input soft output decoding method provided by the application improves the parallelism by realizing fast soft output decoding based on the Rate0, Rate1, REP and SPC nodes, and significantly reduces the decoding latency without losing the soft output precision compared with the SO-SCL decoding algorithm.

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 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.

The application discloses a low-complexity deep learning MIMO detection method based on partial MAP, comprising the following steps: obtaining multiple groups of training and test samples, and performing hierarchical and data preprocessing on the training and test data samples through QR decomposition to obtain K training sublayers and calculate the input and output labels of each training sublayer; training a DNN for generating local LLR in each detection stage of the K training sublayers based on a partial MAP method; performing layer-by-layer inspection from the Kth layer to the first layer, for each detection stage, calculating the local LLR by using the trained DNN, updating the LLR result of the current layer in combination with the prior information transmitted by the previous layer, and transmitting the LLR result to the next layer as prior information until the final LLR result is obtained; inputting the final LLR result into an FEC decoder to perform error correction and obtain a final signal estimation result; and the partial MAP directly outputs log-likelihood ratio soft information, and the combination of the partial MAP and a forward error correction code can obtain better detection performance.

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.

The present application relates to the technical field of communications. Disclosed are a DTX detection method and apparatus, and an electronic device and a storage medium. In the present application, the method comprises: a receiving end acquiring at least one group of soft information sequences of first information sent by means of a sending end; on the basis of a decoded information sequence determined from the at least one group of soft information sequences, obtaining a polar code sequence; and then on the basis of a sequence similarity between the polar code sequence and the at least one group of soft information sequences, detecting whether the sending end is in a DTX state, and optionally, if the sequence similarity is less than a similarity threshold value, determining that the sending end is in the DTX state. In this way, since the polar code sequence is decoded information, the reliability thereof is high, and the DTX state detection (or discrimination) effect is more obvious due to the sequence similarity. Therefore, the accuracy of DTX detection can be improved.

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.

The embodiment of the invention provides a data decoding error correction method and device, a storage medium and an electronic device. The method comprises the following steps: determining a plurality of test sequences based on soft information of to-be-decoded data; a first test sequence and a second test sequence are removed from the plurality of test sequences to obtain a target test sequence, and the first test sequence is a test sequence with hard decoding failure; the second test sequence is N-1 test sequences in N test sequences which are successfully subjected to hard decoding and have the same flip position after hard decoding; wherein N is a positive integer greater than 1; and performing decoding error correction on the to-be-decoded data based on the target test sequence. Through the embodiment of the invention, the problems of high decoding complexity and large delay of a BCH soft decoding mode in the related technology can be solved, and meanwhile, the effect of reducing the consumption of soft decoding resources can be achieved.

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 relates to the technical field of decoding, and provides a source-channel joint decoding method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the initialization information of a channel encoder, and the prior probability information of a variable node of a source decoder; determining check node information of the information source decoder based on initialization information and the prior probability information; executing the following iteration steps: updating the soft information of the variable node of the information source decoder based on the check node information and the initialization information; and based on the updated soft information, performing decoding judgment to determine a decoding result. According to the method, check node information of a source decoder is determined based on initialization information and prior probability information, soft information of variable nodes of the source decoder is iteratively updated based on the check node information and the initialization information, that is, the information of a source is used as available soft information in the decoding process, the coding gain is improved, and the decoding efficiency is improved. Therefore, the accuracy of source-channel joint decoding is improved.

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.

A receiver circuit is disclosed and is configured to receive an optical signal. The receiver circuit includes a receiving circuit configured to receive the optical signal and convert the optical signal from a duobinary signal format into a binary signal based on a plurality of decision thresholds. The receiver circuit also includes a clock data recovery circuit configured to sample the binary signal per data period at a first time instant based on a predetermined clock data recovery technique, and sample the binary signal per data period at a second time instant offset from the first instant, as well as determine an intermediate sample based on an offset for decoding a transmitted bit sequence according to soft information based on the samples.

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 DTX detection method and a related device, and relates to the technical field of communication. In the application, a receiving end can decode a first soft information sequence of first information from a sending end to obtain a decoded information sequence, and then obtain a second soft information sequence according to mask information in the decoded information sequence, so that the influence of the mask information on the first soft information sequence is removed according to the second soft information sequence; a third soft information sequence is obtained, and then the DTX state of the sending end is determined according to the third soft information sequence; by adopting the mode, the influence of the mask information can be removed without traversing the preset mask matrix, so that the calculation complexity of DTX detection is reduced or the DTX detection efficiency is improved.

The invention discloses an interference elimination method and device for a digital information chain and electronic equipment. The method comprises the following steps: performing channel estimation and equalization processing on a received first signal to obtain a second signal; demodulating the second signal to obtain demodulation soft information of the second signal; decoding the demodulation soft information to obtain decoding soft information, determining a candidate signal sequence according to the decoding soft information, and verifying the candidate signal sequence; under the condition that the candidate signal sequence passes the verification, determining the candidate signal sequence as a decoding result of the first signal; and under the condition that the candidate signal sequence does not pass the verification, obtaining the updated candidate signal sequence again according to the decoding soft information and the first signal until the updated candidate signal sequence passes the verification. According to the invention, the technical problem that data transmission cannot be carried out in a complex environment due to insufficient data link coding gain and anti-interference capability in related technologies is solved.

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.

The application discloses a layered decoding method and device, a terminal equipment and a medium, wherein the method comprises the following steps: performing column reordering on a low-density parity-check code (LDPC) check base matrix to obtain a reordered check base matrix; performing layered reordering on the reordered check base matrix to obtain an optimal check base matrix; and decoding soft information to be decoded according to the optimal check base matrix to obtain corresponding decoding information. By using the application, the technical problems in the prior art, such as high QC-DPLC decoding implementation complexity, difficulty in meeting the requirements of link transmission delay and throughput, and the like, can be solved.