WO2016145922A1 - 一种检测方法及装置 - Google Patents

一种检测方法及装置 Download PDF

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WO2016145922A1
WO2016145922A1 PCT/CN2015/099218 CN2015099218W WO2016145922A1 WO 2016145922 A1 WO2016145922 A1 WO 2016145922A1 CN 2015099218 W CN2015099218 W CN 2015099218W WO 2016145922 A1 WO2016145922 A1 WO 2016145922A1
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interference
physical resource
resource block
bit sequence
soft bit
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吴凯
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China Academy of Telecommunications Technology CATT
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/04—Error control

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  • the present invention relates to the field of communications technologies, and in particular, to a detection method and apparatus.
  • the same-frequency network will have the same-frequency interference from the neighboring cell at the cell edge.
  • the user equipment User Equipment, UE
  • the interference suppression combining (MMSE-IRC) algorithm based on the minimum mean square error criterion is turned on to improve the detection performance.
  • the transmission model of the multi-antenna system can generally be expressed by formula (1):
  • H i denotes a channel matrix, which is an N ⁇ M matrix, N denotes the number of receiving antennas, M denotes the number of transmitting antennas; s i denotes a transmitted constellation symbol vector; n ⁇ CN(0, ⁇ 2 I ) represents a white noise vector.
  • the transmission model can be expressed by formula (2):
  • I represents the signal of the interfering cell.
  • MMSE minimum mean square error
  • the equalization vector of the MMSE-IRC algorithm is represented by the formula (4):
  • An interference correlation matrix representing the interference signal is provided.
  • the equalization vector and the received signal are multiplied to obtain a vector of the decision quantity, which is expressed by the formula (5) as:
  • the soft bits are calculated using the obtained decision amount, and after descrambling, are sent to the decoder module.
  • the interference of the neighboring cell is not full bandwidth, that is, the neighboring cell interference exists on some physical resource blocks (PRBs), and the adjacent cell interference does not exist on some PRBs.
  • PRBs physical resource blocks
  • the transmission is in the prior art.
  • a single detection algorithm, MMSE or MMSE-IRC, on the Physical Downlink Shared Channel (PDSCH) or the Wireless Uplink Shared Channel (PUSCH) can cause system performance degradation.
  • the embodiments of the present invention provide a detection method and apparatus for solving the problem that a single detection algorithm is used on a PRB of a PDSCH or a PUSCH, which may cause a decrease in system performance.
  • a method of detecting comprising:
  • a detection result is determined according to the first soft bit sequence and the second soft bit sequence.
  • determining the detection result according to the first soft bit sequence and the second soft bit sequence comprises:
  • the detection result is obtained based on the adjusted soft bit sequence and the second soft bit sequence.
  • the preset weight value is greater than 1.
  • the preset weight value is 10.
  • determining a physical resource block that has interference in the scheduled physical resource and a physical resource block that does not have interference including:
  • a detection apparatus comprising:
  • a distinguishing module configured to determine a physical resource block that has interference in the scheduled physical resource and a physical resource block that does not have interference
  • a detecting module configured to calculate, by using a detection algorithm that does not interfere with the interference, a first decision quantity, and determine a first soft bit sequence according to the first decision quantity, and the interference is performed on the physical resource block that does not have interference a physical resource block, using a detection algorithm that processes the interference to calculate a second decision quantity, and determining a second soft bit sequence according to the second decision quantity;
  • a determining module configured to determine a detection result according to the first soft bit sequence and the second soft bit sequence.
  • the determining module is specifically configured to:
  • the detection result is obtained based on the adjusted soft bit sequence and the second soft bit sequence.
  • the preset weight value is greater than 1.
  • the preset weight value is 10.
  • the distinguishing module is specifically configured to:
  • the physical resource block that interferes with the scheduled physical resource and the physical resource block that does not have interference are used, and the physical resource block that does not have interference is calculated by using a detection algorithm that does not process the interference.
  • the bit sequence determines the detection result based on the first soft bit sequence and the second soft bit sequence, so that the detection algorithm can be adaptively selected according to the interference condition, and the detection accuracy and system performance are improved without increasing the complexity of the algorithm. .
  • FIG. 1 is a schematic flow chart of a detailed method for signal detection according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of a signal detection process according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of a detecting device according to an embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of a user equipment according to an embodiment of the present invention.
  • Step 101 Determine a physical resource block that has interference in the scheduled physical resource and a physical resource block that does not have interference.
  • the following process is performed for each physical resource block in the physical resource scheduled for the UE, and it is determined whether there is interference, as follows:
  • the interference correlation matrix R e calculated on the PRB minus the noise variance matrix ⁇ 2 I to correct the interference correlation matrix, that is, subtracting the noise variance for each element on the main diagonal of the interference correlation matrix, and obtaining the corrected interference Correlation matrix
  • P I is greater than the preset threshold TH, it is considered that there is interference on the PRB, otherwise it is considered that there is no interference on the PRB.
  • the neighboring cell interference exists on the serving cell.
  • Step 102 For a PRB that does not have interference, use a detection algorithm that does not process the interference to calculate a first decision quantity, determine a first soft bit sequence according to the first decision quantity, and use interference processing on the PRB with interference.
  • the detection algorithm calculates a second decision amount, and determines a second soft bit sequence based on the second decision amount.
  • the soft bits are values for indicating the polarity and accuracy of each bit.
  • a soft bit input decoder for channel coding is used for decoding to obtain a corresponding signal.
  • the first soft bit sequence is composed of a plurality of soft bits
  • the second soft bit sequence is composed of a plurality of soft bits
  • the detection algorithm that does not process the interference includes but is not limited to the MMSE detection algorithm and the zero-forcing detection algorithm (ZF), and the present invention is also included for other detection algorithms that do not process the interference.
  • ZF zero-forcing detection algorithm
  • Detection algorithms for processing interference include, but are not limited to, MMSE-IRC detection algorithms, interference suppression combining (ZF-IRC) detection algorithms based on zero-forcing criteria, and the present invention is also included for other algorithms for processing interference.
  • ZF-IRC interference suppression combining
  • the detection algorithm for processing the interference adopts the MMSE-IRC detection algorithm; and when the detection algorithm that does not process the interference is the ZF detection algorithm, the detection algorithm for processing the interference The ZF-IRC detection algorithm is used.
  • the detection algorithm that does not process the interference is MMSE
  • the detection algorithm that processes the interference uses the MMSE-IRC detection algorithm as an example, and the first equalization vector is obtained by using the MMSE detection algorithm for the PRB without interference.
  • the equalization vector is multiplied by the received signal corresponding to the PRB without interference, and the first decision amount is obtained;
  • the MMSE-IRC detection algorithm is used to obtain the second equalization vector for the PRB with interference, and the second equalization vector is multiplied by the received signal corresponding to the PRB with interference to obtain a second decision amount.
  • the MMSE in the specific implementation needs to be replaced with another detection algorithm that does not process the interference, and the MMSE-IRC is replaced with another detection algorithm that processes the interference, so that the corresponding decision amount can be obtained.
  • the soft bit sequence corresponding to the judgment amount can be obtained by calculating the distance between the judgment points and the constellation points corresponding to the modulation mode used for transmission.
  • the serving cell schedules P PRBs for the UE, wherein the PRBs of subscripts 1 to Q are not interfered by neighboring cells, and the PRBs with subscripts of Q+1 to P are interfered by neighboring cells, where Q is greater than 1. And a positive integer less than P.
  • the UE obtains a first equalization vector by using an MMSE detection algorithm on each RE of the PRBs of the subscripts 1 to Q, and multiplies the first equalization vector by the received signal of the corresponding RE to obtain a first determination amount, according to the first determination amount.
  • the calculated first soft bit sequence is represented as L MMSE ;
  • the UE calculates the second equalization vector by using the MMSE-IRC algorithm on each RE on the PRB subscripted as Q+1 to P, and respectively multiplies the second equalization vector by the corresponding RE of the PRB marked as Q+1 to P.
  • the received signal obtains a second decision amount, and the second soft bit sequence calculated according to the second decision amount is represented as L MMSE-IRC .
  • Step 103 Determine a detection result according to the first soft bit sequence and the second soft bit sequence.
  • the detection result is obtained based on the adjusted soft bit sequence and the second soft bit sequence.
  • the adjusted soft bit sequence and the second soft bit sequence are descrambled and decoded to obtain a final detection result.
  • the process of descrambling and decoding the soft bit sequence to obtain the detection result is not the content of the present invention.
  • the present invention does not limit this.
  • the present invention can be implemented by referring to the existing descrambling and decoding process. Let me repeat.
  • the first soft bit sequence L MMSE is amplitude-amplified by ⁇ times, wherein ⁇ is greater than 1, and ⁇ L MMSE and L MMSE-IRC are combined and input to the descrambler, and then input to the decoder, and finally output by the decoder. Test results.
  • the value of ⁇ is obtained by simulating the throughput performance under different values.
  • the values of ⁇ in different scenarios are different.
  • a value with better performance robustness can be taken as the ⁇ value by throughput comparison.
  • ⁇ takes a fixed value greater than one.
  • ⁇ takes a fixed value of 10.
  • the signal detection process provided by the present invention is exemplified below by two specific embodiments.
  • the system bandwidth is 10 megahertz (MHz)
  • the UE is scheduled to transmit PDSCH data services on PRB0 to PRB5.
  • the transmission mode is transmission mode 6, that is, closed-loop RANK1 transmission, and the modulation mode is Quadrature Phase Shift Keying (QPSK), a total of 792 QPSK symbols are transmitted on the transmitted 6 PRBs, for a total of 1584 bits.
  • QPSK Quadrature Phase Shift Keying
  • the user equipment first determines whether there is interference of the interfering cell on the allocated PRB, as follows:
  • the user equipment determines that the neighboring cell interference is not present in PRB0-PRB1, and the neighboring cell interference is received in PRB2-PRB5.
  • the user equipment performs MMSE detection on the signals on PRB0-PRB1, and performs MMSE-IRC detection on the signals of PRB2-PRB5.
  • the uplink transmission is performed in the LTE system
  • the system bandwidth is 10 MHz
  • the UE is scheduled to transmit the PUSCH data service on the PRB10-PRB15, and transmits in the regular subframe using the normal CP
  • the modulation mode is QPSK
  • the 6 transmissions are performed. 864 QPSK symbols and 1728 soft bits are transmitted on the PRB.
  • the base station first determines whether there is interference interference of the interfering cell user on the allocated PRB, as follows:
  • the PRB10-PRB11 is not interfered by the neighbor cell user, and the PRB12-PRB15 is interfered by the neighbor cell user.
  • the base station performs MMSE detection on the signals on the PRB10-PRB11, and performs MMSE-IRC detection on the signals of the PRB12-PRB15.
  • MMSE is used to detect and output 576 soft bits
  • MMSE-IRC is used to detect and output 1152 soft bits
  • 576 soft bits of MMSE detection output are amplified by 10 times
  • 1152 soft bits of MMSE-IRC detection output are not amplified.
  • the 576 soft bits of the MMSE detection output are amplified by 10 times, they are input to the decoder in combination with the 1152 soft bits of the MMSE-IRC detection output, and the final detection result is obtained.
  • the device mainly includes:
  • the distinguishing module 301 is configured to determine a physical resource block that has interference in the scheduled physical resource and a physical resource block that does not have interference;
  • the detecting module 302 is configured to calculate, by using a detection algorithm that does not interfere with the physical resource block that does not have interference, a first decision amount, and determine a first soft bit sequence according to the first Interfering physical resource block, using a detection algorithm that processes the interference to calculate a second decision amount, according to the second decision amount Determining a second soft bit sequence;
  • the determining module 303 is configured to determine a detection result according to the first soft bit sequence and the second soft bit sequence.
  • the determining module is specifically configured to:
  • the detection result is obtained based on the adjusted soft bit sequence and the second soft bit sequence.
  • the preset weight value is greater than 1.
  • the preset weight value is 10.
  • the distinguishing module is specifically configured to:
  • the user equipment mainly includes The processor 401 and the memory 402, wherein the memory 402 holds a preset program, and the processor 401 is configured to read a preset program in the memory 402, and execute the following process according to the program:
  • a detection result is determined according to the first soft bit sequence and the second soft bit sequence.
  • the processor 401 adjusts the amplitude of each soft bit in the first soft bit sequence by using a preset weight value to obtain an adjusted soft bit sequence; based on the adjusted soft bit sequence and the second The soft bit sequence obtains the detection result.
  • the preset weight value is greater than 1.
  • the preset weight value is 10.
  • the processor 401 is directed to each of the scheduled physical resources:
  • the bus architecture can include any number of interconnected buses and bridges, specifically linked by one or more processors represented by processor 401 and various circuits of memory represented by memory 402.
  • 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.
  • the physical resource block that interferes with the scheduled physical resource and the physical resource block that does not have interference are used, and the physical resource block that does not have interference is calculated by using a detection algorithm that does not process the interference.
  • the bit sequence determines the detection result based on the first soft bit sequence and the second soft bit sequence, so that the detection algorithm can be adaptively selected according to the interference condition, and the detection accuracy and system performance are improved without increasing the complexity of the algorithm. .
  • 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 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 device is implemented in a flow or a flow or a block diagram of a block or multiple The function specified in the box.
  • 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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Abstract

本发明公开了一种检测方法及装置，用以解决在PDSCH或PUSCH的PRB上采用单一检测算法，会导致系统性能下降的问题。该方法为：确定调度的物理资源中存在干扰的物理资源块以及不存在干扰的物理资源块；对所述不存在干扰的物理资源块，采用不对干扰进行处理的检测算法计算获得第一判决量，根据所述第一判决量确定第一软比特序列，对所述存在干扰的物理资源块，采用对干扰进行处理的检测算法计算获得第二判决量，根据所述第二判决量确定第二软比特序列；根据所述第一软比特序列和所述第二软比特序列确定检测结果。

Description

一种检测方法及装置
本申请要求在2015年3月13日提交中国专利局、申请号为201510111908.4、发明名称为“一种检测方法及装置”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，尤其涉及一种检测方法及装置。
背景技术
在长期演进(Long Term Evolution，LTE)系统中，由于同频组网，在小区边缘会存在来自邻区的同频干扰，为了解决该问题，在干扰场景下，用户设备(User Equipment，UE)会开启基于最小均方误差准则的干扰抑制合并(MMSE-IRC)算法，以获得检测性能的提升。
假设服务小区的编号为i，在没有邻区干扰的场景下，多天线系统的传输模型一般可由公式(1)表示：
y＝Hisi+n  (1)
其中，y表示接收向量；Hi表示信道矩阵，是一个N×M矩阵，N表示接收天线数，M表示发送天线数；si表示发送的星座符号向量；n∈CN(0,σ2I)表示白噪声向量。
假设包括服务小区在内一共有K个小区，小区i为服务小区，其它K-1个为干扰小区，则传输模型可由公式(2)表示：
Figure PCTCN2015099218-appb-000001
其中，I表示干扰小区的信号。
在没有邻区干扰的场景下，采用的最小均方误差(MMSE)检测算法，MMSE的均衡向量由公式(3)表示：
w＝(HHH+σ2IM)-1HH  (3)
在存在邻区干扰的情况下，采用的MMSE-IRC检测算法，MMSE-IRC算法的均衡向量由公式(4)表示：
Figure PCTCN2015099218-appb-000002
其中，
Figure PCTCN2015099218-appb-000003
表示干扰信号的干扰相关矩阵。
无论在用哪种检测算法，获取均衡向量之后，将均衡向量和接收信号相乘得到判决量的向量，用公式(5)表示为：
Figure PCTCN2015099218-appb-000004
利用获得的判决量计算出软比特，经过解扰后，送到译码器模块。
实际场景中，邻小区的干扰不是全带宽的，也就是说，部分物理资源块(Physical Resource Block，PRB)上存在邻小区干扰，部分PRB上不存在邻小区干扰，现有技术中，在传输物理下行共享信道(PDSCH)或无线上行共享信道(PUSCH)上采用单一检测算法，MMSE或MMSE-IRC，会导致系统性能下降。
发明内容
本发明实施例提供一种检测方法及装置，用以解决在PDSCH或PUSCH的PRB上采用单一检测算法，会导致系统性能下降的问题。
本发明实施例提供的具体技术方案如下：
第一方面，提供了一种检测方法，包括：
确定调度的物理资源中存在干扰的物理资源块以及不存在干扰的物理资源块；
对所述不存在干扰的物理资源块，采用不对干扰进行处理的检测算法计算获得第一判决量，根据所述第一判决量确定第一软比特序列，对所述存在干扰的物理资源块，采用对干扰进行处理的检测算法计算获得第二判决量，根据所述第二判决量确定第二软比特序列；
根据所述第一软比特序列和所述第二软比特序列确定检测结果。
优选地，根据所述第一软比特序列和所述第二软比特序列确定检测结果，包括：
采用预设的权重值对所述第一软比特序列中每个软比特的幅度进行调整，得到调整后的软比特序列；
基于调整后的软比特序列以及所述第二软比特序列得到所述检测结果。
实施中，所述预设的权重值大于1。
优选地，所述预设的权重值为10。
具体地，确定调度的物理资源中存在干扰的物理资源块以及不存在干扰的物理资源块，包括：
针对调度的物理资源中的每一物理资源块：
将该物理资源块对应的干扰相关矩阵的主对角线上的每个元素减去噪声方差，得到修正后的干扰相关矩阵；
计算所述修正后的干扰相关矩阵的主对角线上各元素的和，判断得到的和值是否大于预设的门限值，若是，确定该物理资源块为存在干扰的物理资源块，否则，确定该物理资源块为不存在干扰的物理资源块。
第二方面，提供了一种检测装置，包括：
区分模块，用于确定调度的物理资源中存在干扰的物理资源块以及不存在干扰的物理资源块；
检测模块，用于对所述不存在干扰的物理资源块，采用不对干扰进行处理的检测算法计算获得第一判决量，根据所述第一判决量确定第一软比特序列，对所述存在干扰的物理资源块，采用对干扰进行处理的检测算法计算获得第二判决量，根据所述第二判决量确定第二软比特序列；
确定模块，用于根据所述第一软比特序列和所述第二软比特序列确定检测结果。
优选地，所述确定模块具体用于：
采用预设的权重值对所述第一软比特序列中每个软比特的幅度进行调整，得到调整后的软比特序列；
基于调整后的软比特序列以及所述第二软比特序列得到所述检测结果。
实施中，所述预设的权重值大于1。
优选地，所述预设的权重值为10。
具体地，所述区分模块具体用于：
针对调度的物理资源中的每一物理资源块：
将该物理资源块对应的干扰相关矩阵的主对角线上的每个元素减去噪声方差，得到修正后的干扰相关矩阵；
计算所述修正后的干扰相关矩阵的主对角线上各元素的和，判断得到的和值是否大于预设的门限值，若是，确定该物理资源块为存在干扰的物理资源块，否则，确定该物理资源块为不存在干扰的物理资源块。
基于上述技术方案，本发明实施例中，通过区分调度的物理资源存在干扰的物理资源块和不存在干扰的物理资源块，对不存在干扰的物理资源块，采用不对干扰进行处理的检测算法计算获得第一判决量，根据第一判决量确定第一软比特序列，对存在干扰的物理资源块，采用对干扰进行处理的检测算法计算获得第二判决量，根据第二判决量确定第二软比特序列，基于第一软比特序列和所述第二软比特序列确定检测结果，从而能够根据干扰情况自适应选择检测算法，在不增加算法复杂度的情况下，提高了检测准确性以及系统性能。
附图说明
图1为本发明实施例中信号检测的详细方法流程示意图；
图2为本发明实施例中信号检测过程示意图；
图3为本发明实施例中检测装置的结构示意图；
图4为本发明实施例中用户设备结构示意图。
具体实施方式
为了使本发明的目的、技术方案和优点更加清楚，下面将结合附图对本发明作进一步地详细描述，显然，所描述的实施例仅仅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做出创造性劳动前提下所获得的所有其它实施例，都属于本发明保护的范围。
本发明实施例中，如图1和图2所示，信号检测的详细方法流程如下：
步骤101：确定调度的物理资源中存在干扰的物理资源块以及不存在干扰的物理资源块。
具体实施中，分别针对调度给UE的物理资源中的每个物理资源块，执行以下过程，判断其是否存在干扰，具体如下：
将物理资源块对应的干扰相关矩阵的主对角线上的每个元素减去噪声方差，得到修正后的干扰相关矩阵；
计算修正后的干扰相关矩阵的主对角线上各元素的和，判断得到的和值是否大于预设的门限值，若是，确定该物理资源块存在干扰，否则，确定该物理资源块不存在干扰。
具体说明如下，对服务小区的每个PRB分别执行以下过程：
PRB上计算出的干扰相关矩阵Re减去噪声方差矩阵σ2I，以对干扰相关矩阵进行修正，即干扰相关矩阵主对角线上的每个元素减去噪声方差，得到修正后的干扰相关矩阵；
计算修改后的干扰相关矩阵矩阵中主对角线上各元素的数值的和，用公式(6)表示为：
PI＝trace(Re-σ2I)  (6)
如果PI大于预设的门限值TH，则认为该PRB上存在干扰，否则认为该PRB上不存在干扰。
如果服务小区调度给UE的PRB中，至少有一个PRB上存在干扰，则表面该服务小区存在邻小区干扰。
步骤102：对不存在干扰的PRB，采用不对干扰进行处理的检测算法计算获得第一判决量，根据该第一判决量确定第一软比特序列，对存在干扰的PRB，采用对干扰进行处理的检测算法计算获得第二判决量，根据该第二判决量确定第二软比特序列。
本发明实施例中，软比特为用于表示各比特的极性和准确性的数值。在使用信道编码技术的系统中，使用软比特输入用于信道编码的译码器进行译码，即可得到对应的信号。
其中，第一软比特序列由多个软比特组成，第二软比特序列由多个软比特组成。
本发明实施例中，不对干扰进行处理的检测算法包括但不限于MMSE检测算法、迫零检测算法(ZF)，对于其它不对干扰进行处理的检测算法，本发明也包含在内。
对干扰进行处理的检测算法包括但不限于MMSE-IRC检测算法、基于迫零准则的干扰抑制合并(ZF-IRC)检测算法，对于其它对干扰进行处理的算法，本发明也包含在内。
优选地，在不对干扰进行处理的检测算法为MMSE时，对干扰进行处理的检测算法采用MMSE-IRC检测算法；在不对干扰进行处理的检测算法为ZF检测算法时，对干扰进行处理的检测算法采用ZF-IRC检测算法。
具体地，以不对干扰进行处理的检测算法为MMSE，对干扰进行处理的检测算法采用MMSE-IRC检测算法为例，对不存在干扰的PRB采用MMSE检测算法得到第一均衡向量，将该第一均衡向量乘以不存在干扰的PRB对应的接收信号，得到第一判决量；
对存在干扰的PRB采用MMSE-IRC检测算法得到第二均衡向量，将该第二均衡向量乘以存在干扰的PRB对应的接收信号，得到第二判决量。
需要说明的是，仅需将该具体实施方式中的MMSE替换为其它不对干扰进行处理的检测算法，将MMSE-IRC替换为其它对干扰进行处理的检测算法，即可获得相应的判决量。
本发明实施例中，通过计算判决量与传输采用的调制方式对应的各星座点的距离，即可得到判决量对应的软比特序列。
具体说明如下：
假设服务小区为UE调度了P个PRB，其中，下标1至Q的PRB上没有受到邻小区干扰，而下标为Q+1至P的PRB上受到邻小区干扰，其中，Q为大于1且小于P的正整数。
UE在下标1至Q的PRB上的每个RE采用MMSE检测算法计算获得第一均衡向量，分别将该第一均衡向量乘以对应RE的接收信号得到第一判决量，根据该第一判决量计算出的第一软比特序列表示为LMMSE；
UE在下标为Q+1至P的PRB上的每个RE采用MMSE-IRC算法计算获得第二均衡 向量，分别将该第二均衡向量乘以下标为Q+1至P的PRB上对应RE的接收信号得到第二判决量，根据该第二判决量计算出的第二软比特序列表示为LMMSE-IRC。
步骤103：根据第一软比特序列和第二软比特序列确定检测结果。
优选地，采用预设的权重值对第一软比特序列中每个软比特的幅度进行调整后，基于调整后得到的软比特序列以及第二软比特序列得到检测结果。
具体地，将调整后得到的软比特序列以及第二软比特序列进行解扰和译码得到最终的检测结果。
其中，对软比特序列进行解扰和译码得到检测结果的过程不是本发明所关心的内容，本发明对此不做限制，本发明可引用现有的解扰和译码过程实现，此处再赘述。
具体说明如下：
对第一软比特序列LMMSE进行幅度放大α倍，其中，α大于1，将α·LMMSE和LMMSE-IRC结合起来输入到解扰器后再输入译码器，由译码器输出最终的检测结果。
其中，α的取值通过仿真评估不同取值下的吞吐量性能获得，一般不同场景下的α取值不同，可以通过吞吐量对比取一个使性能鲁棒性较好的值作为α值。
优选地，α取值为大于1的固定值。
优选地，α取固定值10。
以下通过两个具体实施例对本发明提供的信号检测过程进行举例说明。
第一具体实施例：
假设在一个LTE系统中进行下行传输，系统带宽是10兆赫兹(MHz)，UE被调度在PRB0至PRB5上传输PDSCH数据业务。
假设小区专用导频(CRS)端口数为2，表示为CFI等于2，在采用常规循环前缀(CP)的常规子帧中进行传输，传输模式为传输模式6，即闭环RANK1传输，调制方式为正交相移键控(QPSK)，在所传输的6个PRB上一共传输了792个QPSK符号，共1584个比特。
用户设备首先对分配的PRB上是否存在干扰小区的干扰进行判断，具体如下：
对干扰相关矩阵主对角线上的各元素减去噪声方差，对干扰相关矩阵进行修正，计算修正后的干扰相关矩阵的主对角线上的各元素的和，如果该和值大于预设的门限值，则认为该PRB上存在干扰，否则认为该PRB上不存在干扰。
假设用户设备确定在PRB0-PRB1没有受到邻小区干扰，在PRB2-PRB5受到了邻小区干扰。
用户设备对PRB0-PRB1上的信号进行MMSE检测，对PRB2-PRB5的信号进行MMSE-IRC的检测。
采用MMSE检测输出528个软比特，采用MMSE-IRC检测输出1056个软比特，对MMSE检测输出的528个软比特进行10倍放大，对MMSE-IRC检测输出的1056个软比特不进行放大。
对MMSE检测输出的528个软比特进行10倍放大后，与MMSE-IRC检测输出的1056个软比特相结合输入到译码器，得到最终的检测结果。
第二具体实施例：
假设在LTE系统中进行上行传输，系统带宽是10MHz，UE被调度在PRB10-PRB15上传输PUSCH数据业务，在采用常规CP的常规子帧中进行传输，调制方式为QPSK，在所传输的6个PRB上传输了864个QPSK符号，1728个软比特。
基站首先对分配的PRB上是否存在干扰小区用户的上行干扰进行判断，具体如下：
对干扰相关矩阵主对角线上的各元素减去噪声方差，对干扰相关矩阵进行修正，计算修正后的干扰相关矩阵的主对角线上的各元素的和，如果该和值大于预设的门限值，则认为该PRB上存在干扰，否则认为该PRB上不存在干扰。
假设确定在PRB10-PRB11没有受到邻小区用户干扰，在PRB12-PRB15受到了邻小区用户干扰。
基站对PRB10-PRB11上的信号进行MMSE检测，对PRB12-PRB15的信号进行MMSE-IRC的检测。
采用MMSE检测输出576个软比特，采用MMSE-IRC检测输出1152个软比特，对MMSE检测输出的576软比特进行10倍放大，对MMSE-IRC检测输出的1152个软比特不进行放大。
对MMSE检测输出的576软比特进行10倍放大后，与MMSE-IRC检测输出的1152个软比特结合输入到译码器，得到最终的检测结果。
基于同一发明构思，本发明实施例中还提供了一种检测装置，该装置的具体实施可参见上述方法部分的描述，重复之处不再赘述，如图3所示，该装置主要包括：
区分模块301，用于确定调度的物理资源中存在干扰的物理资源块以及不存在干扰的物理资源块；
检测模块302，用于对所述不存在干扰的物理资源块，采用不对干扰进行处理的检测算法计算获得第一判决量，根据所述第一判决量确定第一软比特序列，对所述存在干扰的物理资源块，采用对干扰进行处理的检测算法计算获得第二判决量，根据所述第二判决量 确定第二软比特序列；
确定模块303，用于根据所述第一软比特序列和所述第二软比特序列确定检测结果。
优选地，所述确定模块具体用于：
采用预设的权重值对所述第一软比特序列中每个软比特的幅度进行调整，得到调整后的软比特序列；
基于调整后的软比特序列以及所述第二软比特序列得到所述检测结果。
其中，所述预设的权重值大于1。
优选地，所述预设的权重值为10。
具体地，所述区分模块具体用于：
针对调度的物理资源中的每一物理资源块：
将该物理资源块对应的干扰相关矩阵的主对角线上的每个元素减去噪声方差，得到修正后的干扰相关矩阵；
计算所述修正后的干扰相关矩阵的主对角线上各元素的和，判断得到的和值是否大于预设的门限值，若是，确定该物理资源块为存在干扰的物理资源块，否则，确定该物理资源块为不存在干扰的物理资源块。
基于同一发明构思，本发明实施例中还提供了一种用户设备，该用户设备的具体实施可参见上述方法部分的描述，重复之处不再赘述，如图4所示，该用户设备主要包括处理器401和存储器402，其中，存储器402中保存有预设程序，处理器401用于读取存储器402中的预设程序，按照该程序执行以下过程：
确定调度的物理资源中存在干扰的物理资源块以及不存在干扰的物理资源块；
对所述不存在干扰的物理资源块，采用不对干扰进行处理的检测算法计算获得第一判决量，根据所述第一判决量确定第一软比特序列，对所述存在干扰的物理资源块，采用对干扰进行处理的检测算法计算获得第二判决量，根据所述第二判决量确定第二软比特序列；
根据所述第一软比特序列和所述第二软比特序列确定检测结果。
优选地，处理器401采用预设的权重值对所述第一软比特序列中每个软比特的幅度进行调整，得到调整后的软比特序列；基于调整后的软比特序列以及所述第二软比特序列得到所述检测结果。
其中，所述预设的权重值大于1。
优选地，所述预设的权重值为10。
具体地，处理器401针对调度的物理资源中的每一物理资源块：
将该物理资源块对应的干扰相关矩阵的主对角线上的每个元素减去噪声方差，得到修正后的干扰相关矩阵；
计算所述修正后的干扰相关矩阵的主对角线上各元素的和，判断得到的和值是否大于预设的门限值，若是，确定该物理资源块为存在干扰的物理资源块，否则，确定该物理资源块为不存在干扰的物理资源块。
其中，在图4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401代表的一个或多个处理器和存储器402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。
基于上述技术方案，本发明实施例中，通过区分调度的物理资源存在干扰的物理资源块和不存在干扰的物理资源块，对不存在干扰的物理资源块，采用不对干扰进行处理的检测算法计算获得第一判决量，根据第一判决量确定第一软比特序列，对存在干扰的物理资源块，采用对干扰进行处理的检测算法计算获得第二判决量，根据第二判决量确定第二软比特序列，基于第一软比特序列和所述第二软比特序列确定检测结果，从而能够根据干扰情况自适应选择检测算法，在不增加算法复杂度的情况下，提高了检测准确性以及系统性能。
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和光学存储器等)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。
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 (10)

  1. 一种检测方法，其特征在于，包括：
    确定调度的物理资源中存在干扰的物理资源块以及不存在干扰的物理资源块；
    对所述不存在干扰的物理资源块，采用不对干扰进行处理的检测算法计算获得第一判决量，根据所述第一判决量确定第一软比特序列，对所述存在干扰的物理资源块，采用对干扰进行处理的检测算法计算获得第二判决量，根据所述第二判决量确定第二软比特序列；
    根据所述第一软比特序列和所述第二软比特序列确定检测结果。
  2. 如权利要求1所述的方法，其特征在于，根据所述第一软比特序列和所述第二软比特序列确定检测结果，包括：
    采用预设的权重值对所述第一软比特序列中每个软比特的幅度进行调整，得到调整后的软比特序列；
    基于调整后的软比特序列以及所述第二软比特序列得到所述检测结果。
  3. 如权利要求2所述的方法，其特征在于，所述预设的权重值大于1。
  4. 如权利要求3所述的方法，其特征在于，所述预设的权重值为10。
  5. 如权利要求1-4任一项所述的方法，其特征在于，确定调度的物理资源中存在干扰的物理资源块以及不存在干扰的物理资源块，包括：
    针对调度的物理资源中的每一物理资源块：
    将该物理资源块对应的干扰相关矩阵的主对角线上的每个元素减去噪声方差，得到修正后的干扰相关矩阵；
    计算所述修正后的干扰相关矩阵的主对角线上各元素的和，判断得到的和值是否大于预设的门限值，若是，确定该物理资源块为存在干扰的物理资源块，否则，确定该物理资源块为不存在干扰的物理资源块。
  6. 一种检测装置，其特征在于，包括：
    区分模块，用于确定调度的物理资源中存在干扰的物理资源块以及不存在干扰的物理资源块；
    检测模块，用于对所述不存在干扰的物理资源块，采用不对干扰进行处理的检测算法计算获得第一判决量，根据所述第一判决量确定第一软比特序列，对所述存在干扰的物理资源块，采用对干扰进行处理的检测算法计算获得第二判决量，根据所述第二判决量确定第二软比特序列；
    确定模块，用于根据所述第一软比特序列和所述第二软比特序列确定检测结果。
  7. 如权利要求6所述的装置，其特征在于，所述确定模块具体用于：
    采用预设的权重值对所述第一软比特序列中每个软比特的幅度进行调整，得到调整后的软比特序列；
    基于调整后的软比特序列以及所述第二软比特序列得到所述检测结果。
  8. 如权利要求7所述的装置，其特征在于，所述预设的权重值大于1。
  9. 如权利要求8所述的装置，其特征在于，所述预设的权重值为10。
  10. 如权利要求6-9任一项所述的装置，其特征在于，所述区分模块具体用于：
    针对调度的物理资源中的每一物理资源块：
    将该物理资源块对应的干扰相关矩阵的主对角线上的每个元素减去噪声方差，得到修正后的干扰相关矩阵；
    计算所述修正后的干扰相关矩阵的主对角线上各元素的和，判断得到的和值是否大于预设的门限值，若是，确定该物理资源块为存在干扰的物理资源块，否则，确定该物理资源块为不存在干扰的物理资源块。
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