WO2014032578A1 - Procédé et dispositif pour déterminer des données de bit logique - Google Patents

Procédé et dispositif pour déterminer des données de bit logique Download PDF

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Publication number
WO2014032578A1
WO2014032578A1 PCT/CN2013/082415 CN2013082415W WO2014032578A1 WO 2014032578 A1 WO2014032578 A1 WO 2014032578A1 CN 2013082415 W CN2013082415 W CN 2013082415W WO 2014032578 A1 WO2014032578 A1 WO 2014032578A1
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WIPO (PCT)
Prior art keywords
detection results
soft bit
bit information
metric value
different detection
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PCT/CN2013/082415
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English (en)
Chinese (zh)
Inventor
吴凯
陆会贤
Original Assignee
电信科学技术研究院
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Publication of WO2014032578A1 publication Critical patent/WO2014032578A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/06—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection
    • H04L25/067—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection providing soft decisions, i.e. decisions together with an estimate of reliability

Definitions

  • FSD such an algorithm selects the most likely correct multiple constellation symbols layer by layer, and selects the combination of the most likely correct constellation symbols (the combination is a vector, called the branch in the detection algorithm), as the output detection result.
  • the channel transmission model of a MIMO system that assumes spatial multiplexing transmission is as follows
  • y is the received signal vector ⁇ xl
  • H is a channel matrix of ⁇ ⁇ ⁇
  • X ⁇ xl represents the transmission signal vector
  • n is the noise vector represents the ⁇ xl.
  • the channel matrix H is QR decomposed, and the Q matrix and the R matrix are output.
  • the signal detected by the receiving end is expressed as follows
  • QRD-M detection algorithm traverse the layers to select the most likely branches that are most likely to be correct. The selection is based on selecting the branches with smaller cumulative metrics. After completing the search of all layers, the branch with the smallest cumulative metric is selected. , output as a test result.
  • the detection algorithm of QRD-M can be regarded as the process of tree search.
  • the basic idea of the FSD detection algorithm is: the transmitted layer symbol, which only retains the branch of the pre- P (1 ⁇ P ⁇ ) layer.
  • the number of branches reserved at this time is M.
  • the corresponding detection result is obtained only by the hard decision of serial interference deletion, and finally the M group is detected to detect the branch vector.
  • the above detection algorithm is based on constellation point search.
  • the vector corresponding to the branch with the smallest cumulative metric value is converted into a bit output, which is the detection result.
  • a log likelihood ratio also called soft bit
  • the algorithm outputs all reserved branches through tree search and calculates the corresponding branch metrics.
  • the minimum cumulative branch metric with the bit in the reserved branch is 0 and the most 'J, cumulative branch metric with the bit in the reserved branch is 1.
  • the difference, as the output of the soft bit is applicable to both the QRD-M detection algorithm and the FSD detection algorithm.
  • the existing soft bit calculation method is based on soft bit calculation of a finite candidate set (reserved branch), so the calculated soft bit is not accurate, and the detection algorithm belongs to a nonlinear detection algorithm, and the detected signal-to-noise ratio cannot be calculated, so Soft bits cannot be weighted using the post-detection signal-to-noise ratio as a confidence factor.
  • Embodiments of the present application provide a method and apparatus for determining soft bit information, which are used to process channel coded signals in a spatially multiplexed multi-antenna system and determine soft bit information to improve decoding performance.
  • the receiving end detects the received channel coded signal, determines a preset combination of different detection results, and a corresponding cumulative metric value;
  • the present application detects a channel coding signal by the receiving end, determines a combination of different detection results of a preset number, and a corresponding cumulative metric value; and detects according to the accumulated metric value and the preset number of presets.
  • the combination of the results calculates soft bit information, and adjusts the soft bit information according to the accumulated metric value; and improves the accuracy of the signal obtained by decoding the soft bit information.
  • the receiving end detects the received channel coded signal, determines a preset combination of different detection results, and a corresponding cumulative metric value, including:
  • the receiving end determines different detection results of the received layer symbols and corresponding metric values
  • the metrics include the total metrics.
  • the specific implementation manner of adjusting the soft bit information according to the accumulated metric value may be:
  • the receiving end determines that the minimum value of the total metric value is lower than the preset first threshold, increasing the value of the output soft bit information
  • the receiving end determines that the minimum value of the total metric value is higher than the preset second threshold, reducing the value of the output soft bit information
  • the first threshold is less than the second threshold.
  • the soft bit information is calculated according to the combination of the accumulated metric value and the obtained preset number of different detection results, including:
  • the method further includes:
  • the adjusted soft bit information is decoded.
  • a detecting unit configured to detect the received channel coded signal, determine a preset combination of different detection results, and a corresponding cumulative metric value
  • a soft bit output unit configured to calculate soft bit information according to the combination of the accumulated metric value and the obtained preset number of different detection results, and adjust the soft bit information according to the accumulated metric value.
  • the present application detects a channel coding signal by the receiving end, determines a combination of different detection results of a preset number, and a corresponding cumulative metric value; and detects according to the accumulated metric value and the preset number of presets.
  • the combination of the results calculates soft bit information, and adjusts the soft bit information according to the accumulated metric value; and improves the accuracy of the signal obtained by decoding the soft bit information.
  • the detecting unit 21 is specifically configured to:
  • the metrics include the total metrics.
  • the soft bit output unit 22 is configured to: when the soft bit information is adjusted according to the accumulated metric value, specifically: Determining a minimum value of the total metric value of the combination of the different detection results of the preset number; if it is determined that the minimum value of the total metric value is lower than a preset first threshold, increasing the value of the output soft bit information And if it is determined that the minimum value of the total metric value is higher than the preset second threshold, reducing the value of the output soft bit information; wherein, the first threshold is less than the second threshold.
  • the soft bit output unit 22 is configured to calculate the soft bit information according to the combination of the accumulated metric value and the obtained preset number of different detection results, and is specifically used for the soft bit information. :
  • the signal receiving terminal further includes:
  • a decoding unit configured to decode the adjusted soft bit information.
  • the processor configured to detect the received channel coded signal, determine a preset combination of different detection results and a corresponding cumulative metric value; and obtain the preset number according to the accumulated metric value
  • the combination of different detection results calculates soft bit information, and adjusts the soft bit information according to the accumulated metric value.
  • the present application detects a channel coding signal by the receiving end, determines a combination of different detection results of a preset number, and a corresponding cumulative metric value; and detects according to the accumulated metric value and the preset number of presets.
  • the combination of the results calculates soft bit information, and adjusts the soft bit information according to the accumulated metric value; and improves the accuracy of the signal obtained by decoding the soft bit information.
  • FIG. 2 is a schematic flow chart of a specific embodiment provided by the present application.
  • FIG. 3 is a schematic structural diagram of an embodiment of the present application.
  • DETAILED DESCRIPTION OF THE INVENTION Embodiments of the present application provide a method and apparatus for determining soft bit information for processing a channel coded signal in a spatially multiplexed multi-antenna system and determining soft bit information to improve decoding performance.
  • a method for determining soft bit information includes:
  • S001 The receiving end detects the received channel coded signal, determines a combination of different preset detection results, and a corresponding cumulative metric value;
  • S002 Calculate soft bit information according to the combination of the accumulated metric value and the obtained preset number of different detection results, and adjust the soft bit information according to the accumulated metric value.
  • the receiving end detects the received channel coded signal, determines a preset combination of different detection results, and a corresponding cumulative metric value, including:
  • the receiving end determines different detection results of the received layer symbols and corresponding metric values
  • the metrics include the total metrics.
  • the specific implementation manner of adjusting the soft bit information according to the accumulated metric value may be:
  • the receiving end determines that the minimum value of the total metric value is lower than the preset first threshold, increasing the value of the output soft bit information
  • the receiving end determines that the minimum value of the total metric value is higher than the preset second threshold, reducing the value of the output soft bit information
  • the first threshold is less than the second threshold.
  • the soft bit information is calculated according to the combination of the accumulated metric value and the obtained preset number of different detection results, including:
  • the method further includes:
  • the adjusted soft bit information is decoded.
  • Z is the minimum of the total metrics of the combination of different detection results of a preset number.
  • the above operation essentially determines the accuracy of the detection by the size of D. If the more accurate, the soft bit is Zoom in, if the more inaccurate, the soft bits are reduced.
  • a method for receiving signal processing at a receiving end includes the following steps:
  • the received signal vector y is multiplied by Q ff to obtain an equivalent reception vector.
  • bm 3 ⁇ 4 (q)
  • 2 in the formula represents the first element of the vector ⁇ , (1 ⁇ ⁇ ) hypotheses representing symbols transmitted current layer, the ⁇ constellation points into the above equation for calculation, Bm Wz ( ⁇ represents the metric value corresponding to the first constellation point hypothesis of the i-th layer, and ⁇ is calculated, and the smallest ⁇ ( ⁇ ⁇ ⁇ ) metric value is selected and stored in ⁇ , and the corresponding setting is written to X' ⁇ The second line. The remaining branches are discarded.
  • each layer (from layer to layer 1) needs to perform the operation of the branch metric increment of ⁇ 4 ⁇ times, bm,((M -l)xQ +
  • the size of the cumulative branch metric is calculated as follows.
  • ⁇ ((ml)xQ + q) M(m) + bm, (( m -l)xQ + q) (4)
  • the minimum value of ⁇ in the ⁇ cumulative branch metrics is stored in ⁇ , Assume that the subscripts with the smallest value from small to large are ⁇ ⁇ ' ⁇ 2 '... .
  • the A outputted after the search of the layer 1 is completed contains the M branches with the smallest cumulative metric value.
  • BM is the corresponding cumulative branch metric.
  • the transmitted layer symbol is only for the front ⁇ (1 ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ), retaining all branches, and the number of branches reserved at this time is one, for the symbols of the latter layer
  • the corresponding detection result is obtained only by the hard decision of the serial interference cancellation, and finally the output group detection branch vector is output.
  • ⁇ is the predetermined number mentioned above, and ⁇ is the total metric value.
  • the symbols transmitted by the layer are searched layer by layer from the layer to the layer 1, and the output contains the branches with the smallest cumulative metric, that is, the received channel coded signals are detected to determine the difference of the branches. Combination of test results and corresponding cumulative measures Value.
  • the vector corresponding to the BM minimum value in X is converted into a bit output, which is the detection result.
  • a log likelihood ratio also called soft bit
  • the algorithm outputs the reserved branch through the tree search and calculates the corresponding branch metric, using the difference between the minimum cumulative branch metric of the reserved branch and the minimum cumulative branch metric of the bit in the reserved branch. The output of this soft bit.
  • This method is applicable to both the QRD-M detection algorithm and the FSD detection algorithm. As shown below:
  • b M (q) min (BM) - min (BM)
  • x » denotes the branch set of the "' layer whose bit is 0 in the left branch, and the bit of the first layer in the left branch is 1
  • the branch set, ⁇ U i ⁇ , 3 ⁇ 4 ⁇ ⁇ , ⁇ . ⁇ indicates the number of layers transmitted, and ⁇ indicates the modulation order.
  • End S105 Output the soft bits subjected to the segmentation weighting to the decoding module to perform a decoding operation.
  • a signal receiving terminal provided by an embodiment of the present application includes:
  • the detecting unit 21 is configured to detect the received channel coded signal, determine a preset combination of different detection results, and a corresponding cumulative metric value;
  • the soft bit output unit 22 is configured to calculate soft bit information according to the combination of the accumulated metric value and the obtained preset number of different detection results, and adjust the soft bit information according to the accumulated metric value.
  • the detecting unit 21 is specifically configured to:
  • the metrics include the total metrics.
  • the soft bit output unit 22 is configured to: when the soft bit information is adjusted according to the accumulated metric value, specifically:
  • the soft bit output unit 22 is configured to calculate the soft bit information according to the combination of the accumulated metric value and the obtained preset number of different detection results, and is specifically used for the soft bit information. :
  • the signal receiving terminal further includes:
  • a decoding unit configured to decode the adjusted soft bit information.
  • the processor configured to detect the received channel coded signal, determine a preset combination of different detection results and a corresponding cumulative metric value; and obtain the preset number according to the accumulated metric value
  • the combination of different detection results calculates soft bit information, and adjusts the soft bit information according to the accumulated metric value.
  • the present application detects a channel coding signal by the receiving end, determines a combination of different detection results of a preset number, and a corresponding cumulative metric value; and detects according to the accumulated metric value and the preset number of presets.
  • a combination of the results calculates soft bit information, and adjusts the soft bit information according to the accumulated metric value; The accuracy of the signal obtained by decoding the soft bit information is increased.
  • the embodiments of the present application provide a method and apparatus for determining soft bit information, which are used to process channel coded signals and determine soft bit information in a spatially multiplexed multi-antenna system, thereby improving decoding performance. .
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • the application can take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware.
  • the application can be in the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Error Detection And Correction (AREA)

Abstract

La présente invention se rapporte à un procédé et à un dispositif adaptés pour déterminer des données de bit logique. Le procédé et le dispositif selon l'invention sont utilisés : pour traiter un signal de codage de voie dans un système de multiplexage spatial à plusieurs antennes ; et pour déterminer des données de bit logique qui sont utilisées pour améliorer la performance de décodage. Le procédé selon l'invention comprend les étapes suivantes : un côté de réception détecte un signal de codage de voie reçu, et il détermine une combinaison entre un nombre prédéfini de résultats de détection différents et une valeur cumulée correspondante ; ensuite, sur la base de la valeur cumulée et de la combinaison obtenue du nombre prédéfini de résultats de détection différents, le côté de réception calcule des données de bit logique et il les ajuste en se basant sur la valeur cumulée.
PCT/CN2013/082415 2012-08-31 2013-08-28 Procédé et dispositif pour déterminer des données de bit logique WO2014032578A1 (fr)

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CN201210320784.7A CN103684565B (zh) 2012-08-31 2012-08-31 一种确定软比特信息的方法及装置

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CN106803781B (zh) * 2015-11-26 2019-12-13 电信科学技术研究院 一种多用户联合检测的方法及装置
CN107027132B (zh) * 2016-02-01 2019-05-21 电信科学技术研究院 一种信号检测方法及装置
CN108075995B (zh) * 2016-11-10 2020-07-28 电信科学技术研究院 一种调制方式检测方法和装置

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