WO2018086405A1 - 一种调制方式检测方法和装置 - Google Patents

一种调制方式检测方法和装置 Download PDF

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WO2018086405A1
WO2018086405A1 PCT/CN2017/100242 CN2017100242W WO2018086405A1 WO 2018086405 A1 WO2018086405 A1 WO 2018086405A1 CN 2017100242 W CN2017100242 W CN 2017100242W WO 2018086405 A1 WO2018086405 A1 WO 2018086405A1
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modulation mode
branch metric
candidate
layer
vector
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French (fr)
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吴凯
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China Academy of Telecommunications Technology CATT
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China Academy of Telecommunications Technology CATT
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/0012—Modulated-carrier systems arrangements for identifying the type of modulation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/02—Arrangements for detecting or preventing errors in the information received by diversity reception
    • H04L1/06—Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems

Definitions

  • the present invention relates to the field of communications technologies, and in particular, to a modulation method and apparatus for detecting a modulation mode.
  • the network side sends information about the interfering cell to the user through signaling.
  • the device UE
  • NAICS Network Assisted Interference Cancellation and Suppression
  • PDSCH Physical Downlink Shared Channel
  • part of the transmission parameters are dynamic parameters. If the part of the parameters is kept unchanged during the signaling period and the UE is sent to notify the UE, the network side loses flexibility. Therefore, the network side does not deliver these dynamic parameters, and the UE needs to perform blind detection on some dynamic parameters.
  • the modulation mode used by the PDSCH transmission of the interfering cell is a key parameter for the UE to perform joint detection of the serving cell and the interfering cell signal, and the parameter is also a dynamic parameter, and the network side does not send the parameter to notify the UE. Therefore, the UE needs to perform blind detection on this parameter.
  • the NAICS receiver generally adopts the structure of FIG. 1.
  • a blind detection function module is needed between the channel estimation module and the joint detection module, and whether the module has interference to the PDSCH, interference transmission mode, codebook, layer number, modulation Blind detection of parameters such as mode.
  • the blind detection scheme of modulation mode is based on the existing information, Quadrature Phase Shift Keying (QPSK) ⁇ 16 Quadrature Amplitude Modulation (16QAM) ⁇ 64QAM Among the modulation methods, the modulation method with the highest probability is selected.
  • the above solution is a maximum likelihood Likelihood method based on likelihood information, respectively calculating the probability that the interfering cells are different modulation modes, and selecting the modulation mode with the highest probability. Since it is necessary to calculate the probability that the interfering cell is a QPSK/16QAM/64QAM three modulation scheme, it is equivalent to doing three maximum likelihood detections, and the computation amount is roughly three times that of the maximum likelihood detection.
  • the complexity of maximum likelihood detection itself is very high. If the traditional receiver uses the most complex maximum likelihood detection algorithm, add a modulation method. The functional module of blind detection will make the overall complexity of the receiver extremely high.
  • the existing blind detection scheme of modulation mode has high complexity and is difficult to realize productization.
  • the embodiment of the invention provides a method and a device for detecting a modulation mode, which are used to solve the problem that the complexity of the existing blind modulation detection scheme is high and it is difficult to realize productization.
  • a modulation method detection method including:
  • the received signal vector is jointly detected according to the channel matrix, and the cumulative branch metric vector corresponding to each resource unit RE is obtained; and the minimum value of the cumulative branch metric vector corresponding to each RE is summed. Obtaining a minimum cumulative branch metric corresponding to the candidate modulation mode;
  • a minimum value is determined from a minimum cumulative branch metric value corresponding to each candidate modulation mode, and a modulation mode corresponding to the determined minimum value is determined as a modulation mode used by the interfering cell.
  • the received signal vector is jointly detected according to the channel matrix, and the cumulative branch metric vector corresponding to each RE is obtained, including:
  • the interference cell Performing a tree search on the signals transmitted by the layers of the serving cell according to the channel matrix, and obtaining a branch metric vector corresponding to each RE under the serving cell; and according to the obtained branch metric vector, for each candidate modulation mode, the interference cell Performing a tree search on the signals transmitted by each layer to obtain a cumulative branch metric vector corresponding to each RE;
  • the tree search indicates a process of selecting a minimum of M reserved branches layer by layer, and the branches represent combinations of candidate constellation symbols corresponding to each layer of the serving cell and each layer of the interfering cell.
  • a tree search is performed on signals transmitted by each layer of the interfering cell, and corresponding REs are obtained.
  • Cumulative branch metric vector including:
  • a tree search is performed on the signals transmitted by each layer of each interfering cell in order of the received signal power of each interfering cell.
  • the cumulative branch metric vector corresponding to the RE.
  • the received signal vector is jointly detected according to the channel matrix, and the cumulative branch metric vector corresponding to each resource unit RE is obtained, and includes: for each candidate modulation mode, Performing joint detection on the received signal vector according to the channel matrix, and obtaining a reserved branch corresponding to each RE, wherein the reserved branch corresponding to each RE has a one-to-one correspondence with the cumulative branch metric vector corresponding to the RE;
  • the method further includes: calculating and outputting the soft bit according to the modulation mode used by the interfering cell and the reserved branch corresponding to the determined minimum value.
  • the candidate modulation modes include: QPSK and 64QAM.
  • a computer readable storage medium having stored executable program code for implementing the method of the first aspect.
  • a modulation mode detecting apparatus including:
  • a minimum cumulative branch metric determining module configured to perform joint detection on the received signal vector according to the channel matrix for each candidate modulation mode, to obtain a cumulative branch metric vector corresponding to each resource unit RE; and a cumulative branch metric corresponding to each RE Performing a summation operation on the minimum value in the value vector to obtain a minimum cumulative branch metric value corresponding to the candidate modulation mode;
  • the modulation mode determining module is configured to determine a minimum value from a minimum cumulative branch metric value corresponding to each candidate modulation mode, and determine a modulation mode corresponding to the determined minimum value as a modulation mode used by the interference cell.
  • the minimum cumulative branch metric value determining module is specifically configured to:
  • a tree search is performed on the signals transmitted by the layers of the serving cell according to the channel matrix, and a branch metric vector corresponding to each RE under the serving cell is obtained; according to the obtained branch metric vector, for each The candidate modulation mode performs a tree search on the signals transmitted by the layers of the interfering cell to obtain a cumulative branch metric vector corresponding to each RE; wherein the tree search indicates that the minimum M reserved branches are selected layer by layer.
  • the branch indicates a combination of candidate constellation symbols corresponding to each layer of the serving cell and each layer of the interfering cell.
  • the minimum cumulative branch metric determining module is specifically configured to:
  • a tree search is performed on the signals transmitted by each layer of each interfering cell in order of the received signal power of each interfering cell.
  • the cumulative branch metric vector corresponding to the RE.
  • the minimum cumulative branch metric value determining module is further configured to, for each candidate modulation mode, perform joint detection on the received signal vector according to the channel matrix, to obtain a reserved branch corresponding to each RE, where The reserved branch corresponding to each RE has a one-to-one correspondence with the cumulative branch metric vector corresponding to the RE;
  • the modulation mode determining module is further configured to: calculate and output soft bits according to a modulation mode used by the interfering cell and a reserved branch corresponding to the determined minimum value.
  • the candidate modulation modes include: QPSK and 64QAM.
  • a modulation mode detecting apparatus comprising: a receiver, and at least one processor connected to the receiver, wherein:
  • the processor is configured to read a program in the memory and perform the following process:
  • the received signal vector received by the receiver is connected according to a channel matrix Combining detection, obtaining a cumulative branch metric vector corresponding to each resource unit RE; performing a summation operation on the minimum value of the cumulative branch metric vector corresponding to each RE, to obtain a minimum cumulative branch metric corresponding to the candidate modulation mode; Determining a minimum value among the minimum cumulative branch metric values corresponding to each candidate modulation mode, and determining a modulation mode corresponding to the determined minimum value as a modulation mode used by the interference cell;
  • the receiver is configured to perform data reception under the control of the processor.
  • the processor reads a program in the memory, and specifically performs the following process:
  • a tree search is performed on the signals transmitted by the layers of the serving cell according to the channel matrix, and a branch metric vector corresponding to each RE under the serving cell is obtained; according to the obtained branch metric vector, for each The candidate modulation mode performs a tree search on the signals transmitted by the layers of the interfering cell to obtain a cumulative branch metric vector corresponding to each RE; wherein the tree search indicates that the minimum M reserved branches are selected layer by layer.
  • the branch indicates a combination of candidate constellation symbols corresponding to each layer of the serving cell and each layer of the interfering cell.
  • the processor reads the program in the memory, and specifically performs the following process:
  • a tree search is performed on the signals transmitted by each layer of each interfering cell in order of the received signal power of each interfering cell.
  • the cumulative branch metric vector corresponding to the RE.
  • the processor reads a program in the memory, and further performs the following process:
  • the received signal vector is jointly detected according to the channel matrix, and the reserved branch corresponding to each RE is obtained, wherein the reserved branch corresponding to each RE has a one-to-one correspondence with the cumulative branch metric vector corresponding to the RE;
  • the soft bits are calculated and output according to the modulation mode used by the interfering cell and the reserved branch corresponding to the determined minimum value.
  • the candidate modulation modes include: QPSK and 64QAM.
  • all candidate modulation modes are input to determine a modulation mode used by the interfering cell, and since the blind detection of the modulation mode is not required in the parameter blind detection, the modulation mode is blinded.
  • the repeated calculation between the detection and the joint detection reduces the processing complexity of the receiver and is easy to realize productization.
  • FIG. 2 is a schematic diagram of a model of a NAICS receiver according to an embodiment of the present invention.
  • FIG. 3 is a schematic diagram of a modulation mode detecting method according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of a tree search according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of a modulation mode detecting apparatus according to an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of another modulation mode detecting apparatus according to an embodiment of the present invention.
  • the model of the NAICS receiver provided by the embodiment of the present invention is as shown in FIG. 2, and includes a channel estimation module, a blind detection module, and a joint detection module, wherein only interference to the PDSCH exists in the blind detection module, and the interference transmission mode and the codebook are present.
  • the parameters such as the number of layers and the modulation mode are blindly detected, and the modulation mode of the interfering cell is not blindly detected.
  • the joint detection module all possible modulation modes (ie, candidate modulation modes) of the interfering cell are input, and joint detection is respectively performed to determine The modulation mode used by the interfering cell is further generated, and then the soft bit is calculated and output according to the accumulated branch metric vector and the reserved branch corresponding to the modulation mode used by the interfering cell, thereby completing the receiver function.
  • a modulation mode detection method is provided, and the method includes:
  • R-ML Reduced-Maximum Likelihood
  • QR-Decomposition-based M QR decomposition
  • Detection algorithm when performing joint detection, a Reduced-Maximum Likelihood (R-ML) detection algorithm such as QR-Decomposition-based M (QRD-M) based on QR decomposition may be used. Detection algorithm.
  • R-ML Reduced-Maximum Likelihood
  • the basic idea of the QRD-M detection algorithm is: traversing the search tree layer by layer (also called signal tree), and selecting the M branches that are most likely to be correct at present (ie, the layers of the serving cell and the layers of the interfering cell are most likely
  • the combination of the constellation symbols is based on selecting the branch with the smaller cumulative metric value.
  • the stored cumulative branch metric vector BM corresponding to the M branches whose branch metrics are sorted from small to large is output. 1 ⁇ M dimension) and the corresponding reserved branch X left (N L ⁇ M dimension), N L represents the number of layers of the search tree.
  • the number of layers of the search tree characterizes the number of symbols transmitted on the same time-frequency resource, which is the sum of the number of layers of the serving cell and the number of layers of the interfering cell, where M is a preset value.
  • the branch of the search tree represents a combination of candidate constellation symbols corresponding to each layer of the serving cell and each layer of the interfering cell, and the candidate constellation symbol is all possible constellation symbols in a modulation mode.
  • the joint detection when the joint detection is performed, all candidate modulation modes are input to determine the modulation mode used by the interfering cell, and since the blind detection of the modulation mode is not required in the parameter blind detection, the blind detection and the joint detection of the modulation mode are avoided.
  • the repeated calculations between the two reduce the processing complexity of the receiver and make it easy to implement the product.
  • the received signal vector is jointly detected according to the channel matrix, and the cumulative branch metric vector corresponding to each RE is obtained, including:
  • a tree search is performed on the signals transmitted by the layers of the serving cell, and a branch metric vector corresponding to each RE under the serving cell is obtained; and according to the obtained branch metric vector, for each candidate modulation mode,
  • the signals transmitted by the layers of the interfering cell are subjected to a tree search to obtain a cumulative branch metric vector corresponding to each RE.
  • the tree search indicates a process of selecting a minimum of M reserved branches layer by layer, and the branches represent combinations of candidate constellation symbols corresponding to each layer of the serving cell and each layer of the interfering cell.
  • the above tree search process is as shown in FIG. 4, and the search is performed layer by layer from the root node, that is, the tree search is sequentially performed from the layer N L (Layer N L ) to the layer 1, wherein the layer N L and the layer N L-1 Layer 1 is the layer of the interfering cell for each layer of the serving cell.
  • the detection performance of the first searched layer has the most important impact on the overall performance. Since the modulation mode of the serving cell is known, a tree search is first performed on the signals transmitted by the layers of the serving cell. Does not affect overall performance.
  • a tree search is performed on signals transmitted by each layer of the interfering cell, and corresponding REs are obtained.
  • Cumulative branch metric vector including:
  • a tree search is performed on the signals transmitted by each layer of each interfering cell in order of the received signal power of each interfering cell.
  • the cumulative branch metric vector corresponding to the RE.
  • the detection performance of the first searched layer has the most important impact on the overall performance.
  • a tree search is performed on the signals transmitted by the layers of the interfering cell with large signal receiving power, which can reduce the overall performance. influences.
  • the received signal vector is jointly detected according to the channel matrix, and the cumulative branch metric vector corresponding to each resource unit RE is obtained, and further includes: for each candidate modulation mode According to the channel matrix, the received signal vector is jointly detected to obtain a reserved branch corresponding to each RE.
  • the reserved branch corresponding to each RE has a one-to-one correspondence with the cumulative branch metric vector corresponding to the RE;
  • the method further includes: calculating a soft bit and outputting according to a modulation mode used by the interfering cell and a reserved branch corresponding to the determined minimum value, thereby completing a receiver function.
  • the candidate modulation modes include, but are not limited to, QPSK, 16QAM, and 64QAM.
  • the modulation mode of the interfering cell is 16QAM, and the actual detection is erroneously determined to be 64QAM, no significant performance loss is caused.
  • An optimization scheme is to traverse only the QPSK and 64QAM modulation modes when performing joint detection, that is, the candidate modulation scheme is optimized to include only QPSK and 64QAM.
  • the combination of the three candidate modulation modes is 9, that is, ⁇ QPSK, QPSK ⁇ , ⁇ QPSK, 16QAM ⁇ , ⁇ QPSK, 64QAM ⁇ , ⁇ 16QAM, 16QAM ⁇ , ⁇ 16QAM, QPSK ⁇ , ⁇ 16QAM, 64QAM ⁇ , ⁇ 64QAM, QPSK ⁇ , ⁇ 64QAM, 16QAM ⁇ , ⁇ 64QAM, 64QAM ⁇ , traversing the combination of all the above modulation modes, determining the minimum
  • the branch metric corresponds to the combination of modulation modes, that is, the modulation mode of two interfering cells.
  • Step 0 Sort the channel matrix H cmb such that each column of the serving cell is located on the right side of the matrix, and each column of the interference cell is located on the left side of the matrix. If the serving cell has multiple layers, the signals in the columns corresponding to the serving cell are made. The column with the larger receiving power is located on the right side of the matrix. Similarly, if there are multiple layers in the interfering cell, the columns with higher power in the columns corresponding to the interfering cell are located on the opposite right side. The reordered matrix is
  • H cmb (H S, eq H I, eq) represents the H S, eq and H I, eq combined virtual multiple input transport channel multi-output (MIMO) system, dimension N R ⁇ N L, H S, eq represents an equivalent channel estimate between the serving cell and the UE, H I, eq represents an equivalent channel estimate between the interfering cell and the UE, and N R represents the number of receiving antennas.
  • MIMO virtual multiple input transport channel multi-output
  • N L N S + N I
  • N S represents the number of layers of the serving cell
  • N I represents the number of layers of the interfering cell.
  • Step 1 Pair the channel matrix A QR decomposition is performed in which the Q matrix is a unitary matrix and the R matrix is an upper triangular matrix.
  • Initialize X left, l is an empty matrix of N L ⁇ M, BM l is a vector of 1 ⁇ M, and l ⁇ ⁇ 1, ... L ⁇ represents the 1st RE.
  • Step 2 Multiply the received signal vector r by Q H to obtain the equivalent reception vector.
  • r denotes a received signal vector of N R ⁇ 1 dimension
  • N R denotes the number of receiving antennas.
  • Step 3 On the l th REs, N L level signal transmission layer by layer search tree, from the initialized X left the first layer to the N L N L -N S +1 layers (layers serving cell), l is N L ⁇ M all zero matrix.
  • Equation 1 is used to calculate the branch metric of the current search layer, and the first layer of the search (ie, the layer that the serving cell searches first) needs to perform Q s operations, and Q s is the current input.
  • the number of constellation points in the candidate modulation scheme, that is, the Q s constellation points are brought into the formula 1 for operation:
  • each layer ie, the N L -1 layer to the N L -N S +1 layer performs the operation of the M ⁇ Q s sub-branch metric increment according to Formula 2 :
  • the corresponding s q is written to the i-th row of X left, l , and the remaining branches are discarded.
  • Step 4 On the l th REs, the transmission signal level L N N L -N S from the second layer to the first layer (i.e., interfering cell layers) layer by layer search tree initialization
  • L N N L -N S from the second layer to the first layer (i.e., interfering cell layers) layer by layer search tree initialization
  • the branches corresponding to the three modulation modes are stored, and the initialization is performed.
  • BM l , K ⁇ ⁇ 4, 16, 64 ⁇ respectively represent the cumulative branch metrics of the branches corresponding to the three modulation modes;
  • Equation 5 For each layer of the interfering cell (ie, i ⁇ N L -N S ,...,1 ⁇ ), the operation of the M ⁇ K sub-branch metric increment is performed according to Equation 5:
  • Output after the search for layer 1 is completed Contains M branches, The corresponding cumulative branch metric.
  • step 4 is performed for all K hypotheses.
  • Step 5 On L REs The first value in the (that is, the smallest cumulative branch metric) is summed, ie Then, determining the modulation mode corresponding to the minimum value in the metric m , that is,
  • Step 6 Based on the determination of the modulation mode in step 5 with Calculate the soft bits according to Equation 8, and output:
  • a modulation mode detecting method provided by an embodiment of the present invention is described in detail below by using two specific embodiments.
  • Embodiment 1 In this embodiment, it is assumed that in the LTE-A system, the system bandwidth is 10 MHz, and the serving cell is a Layer 1 closed-loop transmission of Transmission Mode 4 (TM4), and the occupied PRB is PRB0-PRB4; The cell is also a layer 1 closed-loop transmission of TM4, and the occupied PRB is PRB0-PRB4.
  • the receiver accurately completes the channel estimation for the serving cell and the interfering cell, and accurately performs the blind detection of the existence of the interference, the transmission mode, the codebook, the interference layer and the like on each PRB, and outputs the parameters to the detection module.
  • the detection module is a QRD-M detector as an example, and the QRD-M detector performs the following process:
  • a tree search of the first layer of the serving cell is performed, and then a tree search of the layer 1 of the interfering cell is performed based on the assumptions of different modulation modes of the interfering cell ⁇ QPSK, 16QAM, 64QAM ⁇ , and each modulation mode assumption on each RE is output.
  • the corresponding cumulative branch metric vector BM l,m and the reserved branch X left,l,m after completing the tree search under the assumption of each modulation mode of all REs on the 5 PRBs, assume for each modulation mode
  • the minimum cumulative branch metrics corresponding to all REs are summed, and the metric m corresponding to each modulation mode is calculated to find the smallest metric value. Thereby determining a corresponding modulation mode; finally, based on the determined modulation mode with Calculate the soft bits and output them.
  • This embodiment is also applicable to the case where the transmission mode and/or the number of layers of the serving cell are different from the transmission mode and/or the number of layers of the interfering cell.
  • the specific process is similar, and is not illustrated here.
  • Embodiment 2 In this embodiment, it is assumed that in the LTE-A system, the system bandwidth is 10 MHz, the serving cell is TM3 open-loop layer 2 spatial multiplexing transmission, and the occupied PRB is PRB0-PRB4; the interference cell is also TM3 open loop 2 The layer space is multiplexed and transmitted, and the occupied PRB is PRB0-PRB4.
  • the receiver accurately completes the channel estimation for the serving cell and the interfering cell, and accurately performs the blind detection of the existence of the interference, the transmission mode, the interference layer and other parameters on each PRB, and outputs the parameters to the detection module.
  • the detection module is still taken as an example of the QRD-M detector, and the QRD-M detector performs the following process:
  • a tree search of the serving cell 2 layer is performed, and then a 2-layer tree search of the interfering cell is performed based on two different modulation schemes of the interfering cell, ⁇ QPSK, 64QAM ⁇ , and each RE is output under the assumption of two modulation schemes.
  • the corresponding cumulative branch metric vector BM l,m and the reserved branch X left,l,m after completing the tree search under the assumption of two modulation modes of all REs on the five PRBs, all REs in the two modulation modes
  • the corresponding minimum cumulative branch metric is summed, and the metric m corresponding to the two modulation modes is calculated to find a smaller metric. Thereby determining a corresponding modulation mode; finally, based on the determined modulation mode with Calculate the soft bit and output.
  • This embodiment is also applicable to the case where the transmission mode and/or the number of layers of the serving cell are different from the transmission mode and/or the number of layers of the interfering cell.
  • the specific process is similar, and is not illustrated here.
  • the QRD-M algorithm is taken as an example for description, but the embodiment of the present invention is not limited to adopting the QRD-M algorithm, and other R-ML algorithms are also applicable, and the processing procedure is similar. No more examples are given here.
  • the above method processing flow can be implemented by a software program, which can be stored in a storage medium, and when the stored software program is called, the above method steps are performed.
  • a modulation mode detecting device is further provided in the embodiment of the present invention. Since the principle of solving the problem is similar to the method in the embodiment shown in FIG. 3, the implementation of the device can refer to the implementation of the method. , the repetition will not be repeated.
  • a modulation mode detecting apparatus comprising:
  • the minimum cumulative branch metric value determining module 51 is configured to perform joint detection on the received signal vector according to the channel matrix for each candidate modulation mode, to obtain a cumulative branch metric value vector corresponding to each resource unit RE; and to accumulate branches corresponding to each RE Performing a summation operation on the minimum value in the metric vector to obtain a minimum cumulative branch metric corresponding to the candidate modulation mode;
  • the modulation mode determining module 52 is configured to determine a minimum value from the minimum cumulative branch metric values corresponding to each candidate modulation mode, and determine a modulation mode corresponding to the determined minimum value as a modulation mode used by the interference cell.
  • the minimum cumulative branch metric value determining module 51 is specifically configured to:
  • a tree search is performed on the signals transmitted by the layers of the serving cell, and a branch metric vector corresponding to each RE under the serving cell is obtained; and according to the obtained branch metric vector, For each candidate modulation mode, a tree search is performed on the signals transmitted by the layers of the interfering cell to obtain a cumulative branch metric vector corresponding to each RE; wherein the tree search indicates that the minimum M reserved branches are selected layer by layer.
  • the branch represents a combination of candidate constellation symbols corresponding to each layer of the serving cell and each layer of the interfering cell.
  • the minimum cumulative branch metric value determining module 51 is specifically configured to:
  • a tree search is performed on the signals transmitted by each layer of each interfering cell in order of the received signal power of each interfering cell.
  • the cumulative branch metric vector corresponding to the RE.
  • the minimum cumulative branch metric value determining module 51 is further configured to perform joint detection on the received signal vector according to the channel matrix for each candidate modulation mode, to obtain a reserved branch corresponding to each RE.
  • the reserved branch corresponding to each RE has a one-to-one correspondence with the cumulative branch metric vector corresponding to the RE;
  • the modulation mode determining module 52 is further configured to: calculate and output soft bits according to a modulation mode used by the interfering cell and a reserved branch corresponding to the determined minimum value.
  • the candidate modulation modes include: QPSK and 64QAM.
  • another modulation mode detecting apparatus including a receiver and at least one processor connected to the receiver, wherein:
  • the processor 600 is configured to read a program in the memory 620 and perform the following process:
  • the received signal vector received by the receiver 610 is jointly detected according to the channel matrix, and the cumulative branch metric vector corresponding to each resource unit RE is obtained; and the cumulative branch metric vector corresponding to each RE is The minimum value is subjected to a summation operation to obtain a minimum cumulative branch metric value corresponding to the candidate modulation mode; a minimum value is determined from a minimum cumulative branch metric value corresponding to each candidate modulation mode, and a modulation mode corresponding to the determined minimum value is obtained Determining the modulation mode used by the interfering cell;
  • the receiver 610 is configured to perform data reception under the control of the processor 600.
  • the bus architecture may include any number of interconnected buses and bridges, specifically linked by one or more processors represented by processor 600 and various circuits of memory represented by memory 620.
  • the bus architecture can also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and, therefore, will not be further described herein.
  • the bus interface provides an interface.
  • Receiver 610 provides means for communicating with various other devices on a transmission medium.
  • the processor 600 is responsible for managing the bus architecture and general processing, as well as providing various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions.
  • the memory 620 can store data used by the processor 600 when performing operations.
  • the processor 600 can be a central embedded device (CPU), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or a complex programmable logic.
  • CPU central embedded device
  • ASIC application specific integrated circuit
  • FPGA field-programmable gate array
  • CPLD complex programmable logic.
  • CPLD Complex Programmable Logic Device
  • processor 600 reads the program in memory 620 and performs the method of the embodiment shown in FIG.
  • the apparatus shown in FIG. 5 and FIG. 6 may be disposed in a terminal, or may be disposed in a network device, such as a base station.
  • embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.
  • computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • 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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  • Digital Transmission Methods That Use Modulated Carrier Waves (AREA)

Abstract

本发明公开了一种调制方式检测方法和装置，本发明实施例提供了一种调制方式检测方法和装置，用于解决已有的调制方式盲检测的方案的复杂度较高，难以实现产品化的问题。方法包括：对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的累积分支度量值向量；将各RE对应的累积分支度量值向量中的最小值进行求和运算，得到所述候选调制方式对应的最小累积分支度量值；从每种候选调制方式对应的最小累积分支度量值中确定最小值，并将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式。

Description

一种调制方式检测方法和装置
本申请要求在2016年11月10日提交中国专利局、申请号为201610991831.9、发明名称为“一种调制方式检测方法和装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及通信技术领域，特别涉及一种调制方式检测方法和装置。
背景技术
在长期演进增强(Long Term Evolution-Advanced，简称LTE-A)版本12(Rel 12)系统中，为了提升干扰场景下的系统吞吐量，网络侧会通过信令下发干扰小区的相关信息给用户设备(UE)，使得UE有可能进行对干扰小区的物理下行共享信道(Physical Downlink Shared Channel，简称PDSCH)干扰进行网络辅助干扰消除和抑制(Network Assisted Interference Cancellation and Suppression，简称NAICS)检测，这是一种服务小区和干扰小区联合接收的方案，这种接收机称为NAICS接收机。
然而，LTE/LTE-A网络中，部分传输参数是动态参数，如果将这部分参数在信令周期内保持不变并下发通知UE，会使得网络侧丧失灵活性。所以，网络侧不会下发这些动态参数，UE需要对部分动态参数进行盲检测。其中，干扰小区的PDSCH传输使用的调制方式，是UE进行服务小区和干扰小区信号联合检测的关键参数，而该参数同时也是一个动态参数，网络侧并不会下发该参数通知UE。所以，UE需要对该参数进行盲检测。
目前，NAICS接收机普遍采用如图1的结构，在信道估计模块和联合检测模块之间需要一个盲检测的功能模块，该模块对PDSCH干扰是否存在，干扰传输模式、码本、层数、调制方式等参数进行盲检测。目前，调制方式的盲检测的方案，是要根据已有信息，在正交相移键控(Quadrature Phase Shift Keying，简称QPSK)\16正交幅度调制(16Quadrature Amplitude Modulation，简称16QAM)\64QAM三种调制方式中选出概率最大的调制方式。
上述方案是一种基于似然信息的最大似然调制方式判断方法(Full Maximum Likelihood)，分别计算干扰小区为不同的调制方式的概率，选出概率最大的调制方式。由于必须计算干扰小区为QPSK/16QAM/64QAM三种调制方式的概率，所以相当于做了3次最大似然检测，运算量大致是最大似然检测的3倍。而最大似然检测本身的复杂度就很高，如果在传统接收机使用复杂度较高的最大似然类检测算法的情况下，再加入一个调制方式 盲检测的功能模块，将使得接收机整体的复杂度极高。
综上所述，目前已有的调制方式盲检测的方案的复杂度较高，难以实现产品化。
发明内容
本发明实施例提供了一种调制方式检测方法和装置，用于解决已有的调制方式盲检测的方案的复杂度较高而难以实现产品化的问题。
第一方面，提供了一种调制方式检测方法，包括：
对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各资源单元RE对应的累积分支度量值向量；将各RE对应的累积分支度量值向量中的最小值进行求和运算，得到所述候选调制方式对应的最小累积分支度量值；
从每种候选调制方式对应的最小累积分支度量值中确定最小值，并将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式。
一种可能的实施方式中，对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的累积分支度量值向量，包括：
根据信道矩阵，对服务小区的各层传输的信号进行树形搜索，得到服务小区下各RE对应的分支度量值向量；根据已得到的分支度量值向量，对于每种候选调制方式，对干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量；
其中，所述树形搜索表示逐层选取最小的M个保留分支的过程，所述分支表示服务小区各层和干扰小区各层对应的候选星座符号的组合。
一种可能的实施方式中，若存在至少两个干扰小区，根据已得到的分支度量值向量，对于每种候选调制方式，对干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量，包括：
根据已得到的分支度量值向量，对于每种候选调制方式，按照各干扰小区的信号接收功率从大到小的顺序，依次对每个干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量。
一种可能的实施方式中，对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各资源单元RE对应的累积分支度量值向量，还包括：对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的保留分支，其中，每个RE对应的保留分支与该RE对应的累积分支度量值向量一一对应；
将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式之后，还包括：根据所述干扰小区使用的调制方式和所确定的最小值对应的保留分支，计算软比特并输出。
一种可能的实施方式中，所述候选调制方式包括：QPSK和64QAM。
第二方面，提供了一种计算机可读存储介质，其中存储有可执行的程序代码，该程序代码用以实现第一方面所述的方法。
第三方面，提供了一种调制方式检测装置，包括：
最小累积分支度量值确定模块，用于对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各资源单元RE对应的累积分支度量值向量；将各RE对应的累积分支度量值向量中的最小值进行求和运算，得到所述候选调制方式对应的最小累积分支度量值；
调制方式确定模块，用于从每种候选调制方式对应的最小累积分支度量值中确定最小值，并将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式。
一种可能的实施方式中，所述最小累积分支度量值确定模块具体用于：
对于每种候选调制方式，根据信道矩阵，对服务小区的各层传输的信号进行树形搜索，得到服务小区下各RE对应的分支度量值向量；根据已得到的分支度量值向量，对于每种候选调制方式，对干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量；其中，所述树形搜索表示逐层选取最小的M个保留分支的过程，所述分支表示服务小区各层和干扰小区各层对应的候选星座符号的组合。
一种可能的实施方式中，若存在至少两个干扰小区，所述最小累积分支度量值确定模块具体用于：
根据已得到的分支度量值向量，对于每种候选调制方式，按照各干扰小区的信号接收功率从大到小的顺序，依次对每个干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量。
一种可能的实施方式中，所述最小累积分支度量值确定模块还用于：对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的保留分支，其中，每个RE对应的保留分支与该RE对应的累积分支度量值向量一一对应；
所述调制方式确定模块还用于：根据所述干扰小区使用的调制方式和所确定的最小值对应的保留分支，计算软比特并输出。
一种可能的实施方式中，所述候选调制方式包括：QPSK和64QAM。
第四方面，提供了一种调制方式检测装置，包括接收器、以及与所述接收器连接的至少一个处理器，其中：
所述处理器，用于读取所述存储器中的程序，执行下列过程：
对于每种候选调制方式，根据信道矩阵，对所述接收器接收到的接收信号向量进行联 合检测，得到各资源单元RE对应的累积分支度量值向量；将各RE对应的累积分支度量值向量中的最小值进行求和运算，得到所述候选调制方式对应的最小累积分支度量值；从每种候选调制方式对应的最小累积分支度量值中确定最小值，并将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式；
所述接收器，用于在所述处理器的控制下进行数据接收。
一种可能的实施方式中，所述处理器读取所述存储器中的程序，具体执行如下过程：
对于每种候选调制方式，根据信道矩阵，对服务小区的各层传输的信号进行树形搜索，得到服务小区下各RE对应的分支度量值向量；根据已得到的分支度量值向量，对于每种候选调制方式，对干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量；其中，所述树形搜索表示逐层选取最小的M个保留分支的过程，所述分支表示服务小区各层和干扰小区各层对应的候选星座符号的组合。
一种可能的实施方式中，若存在至少两个干扰小区，所述处理器读取所述存储器中的程序，具体执行如下过程：
根据已得到的分支度量值向量，对于每种候选调制方式，按照各干扰小区的信号接收功率从大到小的顺序，依次对每个干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量。
一种可能的实施方式中，所述处理器读取所述存储器中的程序，还执行如下过程：
对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的保留分支，其中，每个RE对应的保留分支与该RE对应的累积分支度量值向量一一对应；
根据所述干扰小区使用的调制方式和所确定的最小值对应的保留分支，计算软比特并输出。
一种可能的实施方式中，所述候选调制方式包括：QPSK和64QAM。
本发明实施例提供的方法和装置中，在联合检测时，输入所有候选调制方式，以确定干扰小区使用的调制方式，由于无需在参数盲检时进行调制方式的盲检，避免了调制方式盲检和联合检测之间存在的重复计算，降低了接收机的处理复杂度，易于实现产品化。
附图说明
图1为现有NAICS接收机的模型示意图；
图2为本发明实施例提供的NAICS接收机的模型示意图；
图3为本发明实施例提供的一种调制方式检测方法的示意图；
图4为本发明实施例提供的一种树形搜索的示意图；
图5为本发明实施例提供的一种调制方式检测装置的示意图；
图6为本发明实施例提供的另一种调制方式检测装置的示意图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
本发明实施例提供的NAICS接收机的模型如图2所示，包括信道估计模块、盲检模块和联合检测模块，其中，在盲检模块中仅对PDSCH干扰是否存在，干扰传输模式、码本、层数、调制方式等参数进行盲检测，不对干扰小区的调制方式进行盲检，在联合检测模块中输入干扰小区所有可能使用的调制方式(即候选调制方式)，分别进行联合检测，从而确定出干扰小区使用的调制方式，进而根据干扰小区使用的调制方式对应的累积分支度量值向量和保留分支，计算软比特并输出，从而完成接收机功能。
下面结合说明书附图对本发明实施例作进一步详细描述。应当理解，此处所描述的实施例仅用于说明和解释本发明，并不用于限定本发明。
图3所示的实施例中，提供了一种调制方式检测方法，所述方法包括：
S31、对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各资源单元(Resource Element，简称RE)对应的累积分支度量值向量；将各RE对应的累积分支度量值向量中的最小值进行求和运算，得到所述候选调制方式对应的最小累积分支度量值。
可选的，进行联合检测时，可以采用联合简化最大似然(Reduced-Maximum Likelihood，简称R-ML)检测算法，如基于QR分解的M分支搜索(QR-Decomposition-based M，QRD-M)检测算法。
其中，QRD-M检测算法的基本思想为：逐层遍历搜索树(也称为信号树)，选取当前最有可能正确的M个分支(即服务小区各层和干扰小区各层最有可能的星座符号的组合)，选取的依据是选取累积度量值较小的分支，完成所有层的搜索后，输出存储的经过分支度量值从小到大排序的M个分支对应的累积分支度量值向量BM(1×M维)和对应的保留分支Xleft(NL×M维)，NL表示搜索树的层数。搜索树的层数表征在相同时频资源上发送的符号个数，其值为服务小区的层数与干扰小区的层数的总和，其中，M为预先设置的 值。其中，所述搜索树的分支表示服务小区各层和干扰小区各层对应的候选星座符号的组合，候选星座符号为一种调制方式下所有可能的星座符号。
S32、从每种候选调制方式对应的最小累积分支度量值中确定最小值，并将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式。
本发明实施例中，在联合检测时，输入所有候选调制方式，以确定干扰小区使用的调制方式，由于无需在参数盲检时进行调制方式的盲检，避免了调制方式盲检和联合检测之间存在的重复计算，降低了接收机的处理复杂度，易于实现产品化。
一种可能的实施方式中，S31中对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的累积分支度量值向量，包括：
根据信道矩阵，先对服务小区的各层传输的信号进行树形搜索，得到服务小区下各RE对应的分支度量值向量；再根据已得到的分支度量值向量，对于每种候选调制方式，对干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量。其中，所述树形搜索表示逐层选取最小的M个保留分支的过程，所述分支表示服务小区各层和干扰小区各层对应的候选星座符号的组合。
上述树形搜索过程如图4所示，从根节点开始逐层进行搜索，即依次从层NL(Layer NL)到层1进行树形搜索，其中，层NL和层NL-1为服务小区的各层，层1为干扰小区的层。
在联合检测过程中，最先搜索的层的检测性能，对整体性能有着最重要的影响，由于服务小区的调制方式是已知的，所以先对服务小区的各层传输的信号进行树形搜索，不会影响整体性能。
一种可能的实施方式中，若存在至少两个干扰小区，根据已得到的分支度量值向量，对于每种候选调制方式，对干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量，包括：
根据已得到的分支度量值向量，对于每种候选调制方式，按照各干扰小区的信号接收功率从大到小的顺序，依次对每个干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量。
在联合检测过程中，最先搜索的层的检测性能，对整体性能有着最重要的影响，先对信号接收功率大的干扰小区的各层传输的信号进行树形搜索，可降低对整体性能的影响。
基于上述任一实施例，S31中对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各资源单元RE对应的累积分支度量值向量，还包括：对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的保留分支， 其中，每个RE对应的保留分支与该RE对应的累积分支度量值向量一一对应；
相应的，S32之后，还包括：根据所述干扰小区使用的调制方式和所确定的最小值对应的保留分支，计算软比特并输出，从而完成接收机功能。
本发明实施例中，所述候选调制方式包括但不限于：QPSK、16QAM、以及64QAM。
在联合检测中，由于干扰小区的调制方式为16QAM，而实际检测时错误确定为64QAM的情况下，并不会带来明显的性能损失。一种优化方案是，在进行联合检测时，仅遍历QPSK和64QAM两种调制方式，即将所述候选调制方式优化为仅包括QPSK和64QAM。
基于上述任一实施例，若存在至少两个干扰小区，假设存在两个干扰小区，那么三种候选调制方式的组合就是9，即{QPSK、QPSK}、{QPSK、16QAM}、{QPSK、64QAM}、{16QAM、16QAM}、{16QAM、QPSK}、{16QAM、64QAM}、{64QAM、QPSK}、{64QAM、16QAM}、{64QAM、64QAM}，遍历上述所有调制方式的组合，确定出的最小的分支度量值对应的是调制方式的组合，就是两个干扰小区的调制方式。
下面以QRD-M检测算法为例，对基于本发明实施例提供的一种调制方式检测方法实现的接收机的功能进行说明。
步骤0：对信道矩阵Hcmb进行排序，使得服务小区的各列位于矩阵的右侧，干扰小区的各列位于矩阵的左侧，如果服务小区有多层，使服务小区对应的各列中信号接收功率较大的列位于矩阵的右侧，同样，如果干扰小区有多层，使干扰小区对应的各列中功率较大的列位于相对右侧。重新排序后的矩阵为
Figure PCTCN2017100242-appb-000001
其中，Hcmb＝(HS,eq HI,eq)表示将HS,eq和HI,eq联合的虚拟多入多出(MIMO)系统的传输信道，维度为NR×NL，HS,eq表示服务小区与UE之间的等效信道估计，HI,eq表示干扰小区与UE之间的等效信道估计，NR表示接收天线的数目。
NL＝NS+NI，NS表示服务小区的层数，NI表示干扰小区的层数。
步骤1：对信道矩阵
Figure PCTCN2017100242-appb-000002
进行QR分解，其中，Q矩阵是酉矩阵，R矩阵是上三角矩阵。初始化Xleft,l为NL×M的空矩阵，BMl为1×M的向量，l∈{1,…L}表示第l个RE。
步骤2：对接收信号向量r左乘QH，得到等效接收向量
Figure PCTCN2017100242-appb-000003
其中，r表示NR×1维的接收信号向量，NR表示接收天线的数目。
步骤3：在第l个RE上，对NL层传输的信号从第NL层到第NL-NS+1层(服务小区的各层)进行逐层树形搜索，初始化Xleft,l为NL×M全零矩阵。
具体的，采用公式一计算当前搜索层的分支度量值(Branch Metric)的增量，对于搜索的第1层(即服务小区最先搜索的层)需要进行Qs次运算，Qs为当前输入的候选调制方式中的星座点的个数，即将Qs个星座点带入公式一中进行运算：
Figure PCTCN2017100242-appb-000004
其中，
Figure PCTCN2017100242-appb-000005
表示向量
Figure PCTCN2017100242-appb-000006
中的第NL个元素，sq(1≤q≤Qs)表示当前搜索层传输的信号假设，
Figure PCTCN2017100242-appb-000007
表示按照公式一计算得到的第NL层第q个星座点对应的度量值；
通过上述计算，共计算出Qs个
Figure PCTCN2017100242-appb-000008
从中选取最小的M(M≤Qs)个度量值存入BMl中，所选择的M个度量值对应的sq写入Xleft,l的第NL行，其余分支舍弃。
如果服务小区的层数大于一层，随后每一层(即第NL-1层到第NL-NS+1层)按照公式二，进行M×Qs次分支度量值增量的运算：
Figure PCTCN2017100242-appb-000009
其中，i∈{NL-1,…,NL-NS+1}，m∈{1,…,M}。
对于第i∈{NL-1,…,NL-NS+1}层被搜索的信号，按照公式三，计算累积分支度量值：
BMtmp((m-1)′Qs+q)＝BMl(m)+bmi((m-1)′Qs+q)      公式三；
在M×Qs个累积分支度量值中保留BMtmp中最小的M个值存入BMl，假设按从小到大顺序最小的M个值的下标为z1,z2,…zM，按照公式四，替换Xleft,l中第i+1行到第NL行的元素，令
Figure PCTCN2017100242-appb-000010
为NL×M全零矩阵：
Figure PCTCN2017100242-appb-000011
其中，对应的sq写入Xleft,l的第i行，其余的分支舍弃。
步骤4：在第l个RE上，对NL层传输的信号从第NL-NS层到第1层(即干扰小区的各层)进行逐层树形搜索，初始化
Figure PCTCN2017100242-appb-000012
为Xleft,l，K∈{4,16,64}分别表示三种调制方式对应存储的分支，以及初始化
Figure PCTCN2017100242-appb-000013
为BMl，K∈{4,16,64}分别表示三种调制方式对应存储的分支的累积分支度量值；
对于干扰小区的每一层(即i∈{NL-NS,…,1})按照公式五，进行M×K次分支度量值增量的运算：
Figure PCTCN2017100242-appb-000014
其中，sq(1￡q￡K)，表示当前搜索层传输的信号对应的星座符号假设；
对于第i∈{NL-NS,…,1}层被搜索的信号，按照公式六，计算累积分支度量值：
Figure PCTCN2017100242-appb-000015
在M×K个累积分支度量值中保留BMtmp中最小的M个值存入
Figure PCTCN2017100242-appb-000016
假设按从小到大顺序最小的M个值的下标为z1,z2,…zM，按照如下公式七，替换
Figure PCTCN2017100242-appb-000017
中第i+1到第NL行的元素，令
Figure PCTCN2017100242-appb-000018
为NL×M全零矩阵：
Figure PCTCN2017100242-appb-000019
对应的sq写入
Figure PCTCN2017100242-appb-000020
的第i行，其余的分支舍弃；
在第1层的搜索完成之后输出的
Figure PCTCN2017100242-appb-000021
包含M个分支，
Figure PCTCN2017100242-appb-000022
为对应的累积分支度量值。
对所有K的假设均执行步骤4的过程。
步骤5：对L个RE上
Figure PCTCN2017100242-appb-000023
中的第一个数值(即最小的累积分支度量值)进行求和，即
Figure PCTCN2017100242-appb-000024
然后，确定metricm中的最小值对应的调制方式，即
Figure PCTCN2017100242-appb-000025
步骤6：基于步骤5中确定出调制方式对应的
Figure PCTCN2017100242-appb-000026
和
Figure PCTCN2017100242-appb-000027
按照公式八，计算软比特，并输出：
Figure PCTCN2017100242-appb-000028
其中，
Figure PCTCN2017100242-appb-000029
表示调制方式为
Figure PCTCN2017100242-appb-000030
对应的调制方式时，对于第l个RE的留分支中第nl层第q比特为0的分支集合，
Figure PCTCN2017100242-appb-000031
表示留分支中第nl层第q比特为1的分支集合， nl∈{1,…,NS}，q∈{1,…,Qs}，Qs表示调制阶数。
下面通过两个具体实施例，对本发明实施例提供的一种调制方式检测方法进行详细说明。
实施例1：本实施例中，假设在LTE-A系统中，系统带宽为10MHz，服务小区为传输模式4(Transmission Mode，简称TM4)的1层闭环传输，占用的PRB为PRB0-PRB4；干扰小区也是TM4的1层闭环传输，占用的PRB为PRB0-PRB4。接收机准确的完成了对服务小区和干扰小区的信道估计，并在每个PRB上准确完成了干扰是否存在，传输模式，码本，干扰层数等参数的盲检测，并输出到检测模块。本实施例中以检测模块为QRD-M检测器为例进行说明，QRD-M检测器执行如下过程：
首先进行服务小区1层的树形搜索，之后基于干扰小区的不同调制方式的假设{QPSK，16QAM，64QAM}，进行干扰小区的1层的树形搜索，输出各RE上的每种调制方式假设下对应的累积分支度量值向量BMl,m和保留分支Xleft,l,m；在完成5个PRB上所有RE的每种调制方式假设下的树形搜索之后，对每种调制方式假设下所有RE对应的最小的累积分支度量值进行求和，计算出各调制方式对应的度量值metricm，找出最小的度量值
Figure PCTCN2017100242-appb-000032
从而确定对应的调制方式；最后，基于确定出的调制方式对应的
Figure PCTCN2017100242-appb-000033
和
Figure PCTCN2017100242-appb-000034
计算软比特，并输出。
本实施例同样适用于服务小区的传输模式和/或层数与干扰小区的传输模式和/或层数不同的情况，具体过程类似，此处不再一一举例说明。
实施例2：本实施例中，假设在LTE-A系统中，系统带宽为10MHz，服务小区为TM3开环2层空间复用传输，占用的PRB为PRB0-PRB4；干扰小区也是TM3开环2层空间复用传输，占用的PRB为PRB0-PRB4。接收机准确的完成了对服务小区和干扰小区的信道估计，并在每个PRB上准确完成了干扰是否存在，传输模式，干扰层数等参数的盲检测，并输出到检测模块。本实施例中仍以检测模块为QRD-M检测器为例进行说明，QRD-M检测器执行如下过程：
首先进行服务小区2层的树形搜索，之后基于干扰小区的两种不同调制方式假设{QPSK，64QAM}，进行干扰小区的2层的树形搜索，输出各RE的在两种调制方式假设下对应的累积分支度量值向量BMl,m和保留分支Xleft,l,m；在完成5个PRB上所有RE的两种调制方式假设下的树形搜索之后，对两种调制方式下所有RE对应的最小的累积分支度量值进行求和，计算出两种调制方式对应的度量值metricm，找出较小的度量值
Figure PCTCN2017100242-appb-000035
从而确定对应的调制方式；最后，基于确定出的调制方式对应的
Figure PCTCN2017100242-appb-000036
和
Figure PCTCN2017100242-appb-000037
计算软比 特，并输出。
本实施例同样适用于服务小区的传输模式和/或层数与干扰小区的传输模式和/或层数不同的情况，具体过程类似，此处不再一一举例说明。
需要说明的是，本发明实施例中均是以QRD-M算法为例进行描述的，但本发明实施例不限于采用QRD-M算法，其他R-ML算法同样适用，其处理过程类似，此处不再一一举例说明。
上述方法处理流程可以用软件程序实现，该软件程序可以存储在存储介质中，当存储的软件程序被调用时，执行上述方法步骤。
基于同一发明构思，本发明实施例中还提供了一种调制方式检测装置，由于该装置解决问题的原理与上述图3所示实施例中的方法相似，因此该装置的实施可以参见方法的实施，重复之处不再赘述。
图5所示实施例中，提供了一种调制方式检测装置，所述装置包括：
最小累积分支度量值确定模块51，用于对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各资源单元RE对应的累积分支度量值向量；将各RE对应的累积分支度量值向量中的最小值进行求和运算，得到所述候选调制方式对应的最小累积分支度量值；
调制方式确定模块52，用于从每种候选调制方式对应的最小累积分支度量值中确定最小值，并将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式。
一种可能的实施方式中，所述最小累积分支度量值确定模块51具体用于：
对于每种候选调制方式，根据信道矩阵，先对服务小区的各层传输的信号进行树形搜索，得到服务小区下各RE对应的分支度量值向量；再根据已得到的分支度量值向量，对于每种候选调制方式，对干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量；其中，所述树形搜索表示逐层选取最小的M个保留分支的过程，所述分支表示服务小区各层和干扰小区各层对应的候选星座符号的组合。
一种可能的实施方式中，若存在至少两个干扰小区，所述最小累积分支度量值确定模块51具体用于：
根据已得到的分支度量值向量，对于每种候选调制方式，按照各干扰小区的信号接收功率从大到小的顺序，依次对每个干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量。
一种可能的实施方式中，所述最小累积分支度量值确定模块51还用于：对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的保留分支， 其中，每个RE对应的保留分支与该RE对应的累积分支度量值向量一一对应；
所述调制方式确定模块52还用于：根据所述干扰小区使用的调制方式和所确定的最小值对应的保留分支，计算软比特并输出。
一种可能的实施方式中，所述候选调制方式包括：QPSK和64QAM。
图6所示实施例中，提供了另一种调制方式检测装置，包括接收器、以及与接收器连接的至少一个处理器，其中：
处理器600，用于读取存储器620中的程序，执行下列过程：
对于每种候选调制方式，根据信道矩阵，对接收器610接收到的接收信号向量进行联合检测，得到各资源单元RE对应的累积分支度量值向量；将各RE对应的累积分支度量值向量中的最小值进行求和运算，得到所述候选调制方式对应的最小累积分支度量值；从每种候选调制方式对应的最小累积分支度量值中确定最小值，并将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式；
接收器610，用于在处理器600的控制下进行数据接收。
在图6中，总线架构可以包括任意数量的互联的总线和桥，具体由处理器600代表的一个或多个处理器和存储器620代表的存储器的各种电路链接在一起。总线架构还可以将诸如外围设备、稳压器和功率管理电路等之类的各种其他电路链接在一起，这些都是本领域所公知的，因此，本文不再对其进行进一步描述。总线接口提供接口。接收器610提供用于在传输介质上与各种其他装置通信的单元。处理器600负责管理总线架构和通常的处理，还可以提供各种功能，包括定时，外围接口，电压调节、电源管理以及其他控制功能。存储器620可以存储处理器600在执行操作时所使用的数据。
可选的，处理器600可以是中央处埋器(CPU)、专用集成电路(Application Specific Integrated Circuit，简称ASIC)、现场可编程门阵列(Field－Programmable Gate Array，简称FPGA)或复杂可编程逻辑器件(Complex Programmable Logic Device，简称CPLD)。
在实施中，处理器600读取存储器620中的程序，执行图3所示实施例中的方法。
本发明实施例中，图5和图6所示的装置可以设置于终端中；也可以设置于网络设备中，如基站等。
本领域内的技术人员应明白，本发明的实施例可提供为方法、系统、或计算机程序产品。因此，本发明可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本发明是参照根据本发明实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
尽管已描述了本发明的优选实施例，但本领域内的技术人员一旦得知了基本创造性概念，则可对这些实施例作出另外的变更和修改。所以，所附权利要求意欲解释为包括优选实施例以及落入本发明范围的所有变更和修改。
显然，本领域的技术人员可以对本发明进行各种改动和变型而不脱离本发明的精神和范围。这样，倘若本发明的这些修改和变型属于本发明权利要求及其等同技术的范围之内，则本发明也意图包含这些改动和变型在内。

Claims (14)

  1. 一种调制方式检测方法，其特征在于，所述方法包括：
    对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各资源单元RE对应的累积分支度量值向量；将各RE对应的累积分支度量值向量中的最小值进行求和运算，得到所述候选调制方式对应的最小累积分支度量值；
    从每种候选调制方式对应的最小累积分支度量值中确定最小值，并将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式。
  2. 如权利要求1所述的方法，其特征在于，对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的累积分支度量值向量，包括：
    根据信道矩阵，对服务小区的各层传输的信号进行树形搜索，得到服务小区下各RE对应的分支度量值向量；根据已得到的分支度量值向量，对于每种候选调制方式，对干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量；
    其中，所述树形搜索表示逐层选取最小的M个保留分支的过程，所述分支表示服务小区各层和干扰小区各层对应的候选星座符号的组合。
  3. 如权利要求2所述的方法，其特征在于，根据已得到的分支度量值向量，对于每种候选调制方式，对干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量，包括：
    若存在至少两个干扰小区，则根据已得到的分支度量值向量，对于每种候选调制方式，按照各干扰小区的信号接收功率从大到小的顺序，依次对每个干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量。
  4. 如权利要求1所述的方法，其特征在于，还包括：对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的保留分支，其中，每个RE对应的保留分支与该RE对应的累积分支度量值向量一一对应；
    将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式之后，还包括：根据所述干扰小区使用的调制方式和所确定的最小值对应的保留分支，计算软比特并输出。
  5. 如权利要求1-4任一项所述的方法，其特征在于，所述候选调制方式包括：QPSK和64QAM。
  6. 一种调制方式检测装置，其特征在于，所述装置包括：
    最小累积分支度量值确定模块，用于对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各资源单元RE对应的累积分支度量值向量；将各RE对应 的累积分支度量值向量中的最小值进行求和运算，得到所述候选调制方式对应的最小累积分支度量值；
    调制方式确定模块，用于从每种候选调制方式对应的最小累积分支度量值中确定最小值，并将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式。
  7. 如权利要求6所述的装置，其特征在于，所述最小累积分支度量值确定模块具体用于：
    对于每种候选调制方式，根据信道矩阵，对服务小区的各层传输的信号进行树形搜索，得到服务小区下各RE对应的分支度量值向量；根据已得到的分支度量值向量，对于每种候选调制方式，对干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量；
    其中，所述树形搜索表示逐层选取最小的M个保留分支的过程，所述分支表示服务小区各层和干扰小区各层对应的候选星座符号的组合。
  8. 如权利要求6所述的装置，其特征在于，所述最小累积分支度量值确定模块还用于：对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的保留分支，其中，每个RE对应的保留分支与该RE对应的累积分支度量值向量一一对应；
    所述调制方式确定模块还用于：将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式之后，根据所述干扰小区使用的调制方式和所确定的最小值对应的保留分支，计算软比特并输出。
  9. 一种调制方式检测装置，其特征在于，包括：处理器、接收器和存储器；
    所述处理器，用于读取所述存储器中的程序，执行下列过程：对于每种候选调制方式，根据信道矩阵，对所述接收器接收到的接收信号向量进行联合检测，得到各资源单元RE对应的累积分支度量值向量；将各RE对应的累积分支度量值向量中的最小值进行求和运算，得到所述候选调制方式对应的最小累积分支度量值；从每种候选调制方式对应的最小累积分支度量值中确定最小值，并将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式；
    所述接收器，用于在所述处理器的控制下进行数据接收。
  10. 如权利要求9所述的装置，其特征在于，所述处理器具体用于：
    对于每种候选调制方式，根据信道矩阵，对服务小区的各层传输的信号进行树形搜索，得到服务小区下各RE对应的分支度量值向量；根据已得到的分支度量值向量，对于每种候选调制方式，对干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支 度量值向量；
    其中，所述树形搜索表示逐层选取最小的M个保留分支的过程，所述分支表示服务小区各层和干扰小区各层对应的候选星座符号的组合。
  11. 如权利要求9所述的装置，其特征在于，所述处理器具体用于：
    若存在至少两个干扰小区，则根据已得到的分支度量值向量，对于每种候选调制方式，按照各干扰小区的信号接收功率从大到小的顺序，依次对每个干扰小区的各层传输的信号进行树形搜索，得到各RE对应的累积分支度量值向量。
  12. 如权利要求9所述的装置，其特征在于，所述处理器还用于：对于每种候选调制方式，根据信道矩阵，对接收信号向量进行联合检测，得到各RE对应的保留分支，其中，每个RE对应的保留分支与该RE对应的累积分支度量值向量一一对应；
    所述处理器还用于：将所确定的最小值对应的调制方式确定为干扰小区使用的调制方式之后，根据所述干扰小区使用的调制方式和所确定的最小值对应的保留分支，计算软比特并输出。
  13. 如权利要求9-12任一项所述的装置，其特征在于，所述候选调制方式包括：QPSK和64QAM。
  14. 一种计算机存储介质，其特征在于，所述计算机可读存储介质存储有计算机可执行指令，所述计算机可执行指令用于使所述计算机执行权利要求1-5任一项所述的方法。
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