WO2016095488A1 - 一种识别误检控制信息的方法、装置及存储介质 - Google Patents

一种识别误检控制信息的方法、装置及存储介质 Download PDF

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WO2016095488A1
WO2016095488A1 PCT/CN2015/082990 CN2015082990W WO2016095488A1 WO 2016095488 A1 WO2016095488 A1 WO 2016095488A1 CN 2015082990 W CN2015082990 W CN 2015082990W WO 2016095488 A1 WO2016095488 A1 WO 2016095488A1
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control information
decoding
misdetection
identifying
threshold value
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PCT/CN2015/082990
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English (en)
French (fr)
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黄梅莹
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深圳市中兴微电子技术有限公司
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    • 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

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  • the present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, and a storage medium for identifying misdetection control information.
  • downlink control information is carried by a downlink physical control channel (PDCCH), and the DCI includes one or more user equipments (User Equipment, Resource allocation information and other types of control information on the UE; the PDCCH also carries scheduling information of uplink/downlink data transmission and uplink power control command information, wherein the scheduling information of the uplink/downlink data transmission may be resource allocation (Resource) Allocation) Information, Modulation and Coding Scheme (MCS), etc.
  • PDCCH downlink physical control channel
  • the DCI includes one or more user equipments (User Equipment, Resource allocation information and other types of control information on the UE; the PDCCH also carries scheduling information of uplink/downlink data transmission and uplink power control command information, wherein the scheduling information of the uplink/downlink data transmission may be resource allocation (Resource) Allocation) Information, Modulation and Coding Scheme (MCS), etc.
  • Resource allocation Resource allocation
  • MCS Modulation and Coding Scheme
  • the UE first needs to demodulate the DCI in the PDCCH, and then can demodulate the physical downlink shared channel belonging to the UE itself at the corresponding resource location (Physical Downlink Shared Channel).
  • the PDSCH carries information such as broadcast messages, paging, data of the UE, and the like.
  • the UE since the DCI has multiple formats, the UE does not know which format of the DCI the received PDCCH carries before demodulating the DCI in the PDCCH. Therefore, the UE must perform blind detection on the format of the DCI; The UE demodulates all PDCCHs that may belong to oneself according to the format of the DCI used, and searches for information belonging to oneself; and blind detection of the format of the DCI may cause erroneous detection, that is, the PDCCH demodulated by the UE is not its own.
  • the size of the misdetection probability of DCI is related to the Cyclic Redundancy Check (CRC) bit length; the CRC of the PDCCH is 16 bits, and the theoretical false detection rate of DCI is 1/65536; however, in the actual wireless communication In the information environment, due to the influence of the transmission channel, the false detection rate is significantly larger than this value; for example, in the LTE system test process, the DCI format 0 false detection probability reaches 2 times/minute; the DCI misdetection will cause the UE to randomly access random.
  • CRC Cyclic Redundancy Check
  • embodiments of the present invention are directed to providing a method, apparatus, and storage medium for identifying misdetection control information, which can effectively identify misdetection of DCI and improve performance of an LTE system.
  • An embodiment of the present invention provides a method for identifying misdetection control information, where the method includes: calculating a relative metric value of a decoding path of the downlink control information that is verified; acquiring an initial state and a termination state of the decoding surviving path, and calculating a Hamming distance between the initial state and the termination state; according to the magnitude of the relative metric value and a preset first threshold value, and the Hamming distance and a preset second threshold value Size identification misdetection control information.
  • the first threshold includes multiple thresholds related to an aggregation level (Aggregation, AL) of a Control Channel Element (CCE) occupied by the PDCCH.
  • AL aggregation level
  • CCE Control Channel Element
  • the identifying the false detection control information according to the size of the relative metric value and the preset first threshold value, and the size of the Hamming distance and the preset second threshold value includes: When the relative metric value is less than the first threshold value, or the Hamming distance is greater than the second threshold value, it is identified as misdetection control information.
  • the calculating the relative metric value of the decoding path includes: obtaining a maximum correlation metric value of the decoding path of the downlink control information that is verified, and a logarithm of the decoding input corresponding to the downlink control information Calculating a ratio of the absolute correlation value of the LLR data to a sum of the maximum correlation metric value and the absolute value of the LLR data, to obtain a relative metric of the decoding path value.
  • the PDCCH is encoded as a tail biting convolutional code
  • the decoding is a viterbi decoding
  • An embodiment of the present invention further provides an apparatus for identifying misdetection control information, where the apparatus includes: a calculation module, an acquisition module, and an identification module;
  • the calculating module is configured to calculate a relative metric value of a decoding path of the downlink control information that is verified;
  • the acquiring module is configured to acquire an initial state and a stop state of the decoding surviving path, and calculate a Hamming distance between the initial state and the terminated state;
  • the identification module is configured to identify the false detection control information according to the size of the relative metric value and the preset first threshold value, and the size of the Hamming distance and the preset second threshold value.
  • the first threshold value includes multiple threshold values related to the AL of the CCE occupied by the PDCCH.
  • the identification module is specifically configured to identify the misdetection control information when the relative metric value is less than the first threshold value or the Hamming distance is greater than the second threshold value.
  • the calculation module is specifically configured to obtain a maximum correlation metric value of the decoding path of the downlink control information that is verified, and a sum of absolute values of the LLR data of the decoding input corresponding to the downlink control information. And calculating a ratio of the maximum correlation metric value to a sum of absolute values of the LLR data to obtain a relative metric value of the decoding path.
  • the PDCCH is encoded as a tail biting convolutional code
  • the decoding is a viterbi decoding
  • the embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores a computer program for performing the above method for identifying misdetection control information according to an embodiment of the present invention.
  • the method, device and storage medium for identifying misdetection control information calculate a relative metric value of a decoding path of the downlink control information that is verified; and obtain an initial state and a termination state of the decoded surviving path, and calculate a Hamming distance between the initial state and the termination state; according to the magnitude of the relative metric value and a preset first threshold value, and the Hamming distance and a preset second threshold value Size identification misdetection control information.
  • 1 is a schematic structural view of a tail biting convolution encoder of the present invention
  • FIG. 2 is a schematic diagram of state transition of a convolutional encoder T-1 from time T to time T according to an embodiment of the present invention
  • FIG. 3 is a schematic flowchart of processing of a method for identifying misdetection control information according to an embodiment of the present invention
  • FIG. 4 is a schematic flowchart of a process for determining a first threshold according to an embodiment of the present invention
  • FIG. 6 is a schematic structural diagram of a device for identifying misdetection control information according to an embodiment of the present invention.
  • the PDCCH is used to carry DCI, scheduling information of uplink/downlink data transmission, uplink power control information, and common control information.
  • the PDCCH resource mapping is designed to be CCE.
  • one downlink subframe may carry multiple PDCCHs, and each PDCCH first Perform independent CRC calculation, scrambling, channel coding, and perform rate matching according to AL; then, all PDCCHs in one subframe are multiplexed into one data bit stream, and the data stream is padded so that each PDCCH channel conforms to the definition
  • the rule of the CCE starting position that is, the starting position of the PDCCH whose AL is n is an integer multiple CCE position of n, and the padded data bit stream length can be filled with orthogonal frequency division multiplexing (Orthogonal Frequency) allocated to the PDCCH.
  • the resource is a resource removed by the PCFICH indicated by a Physical Control Format Indicator Channel (PCFICH) and a Physical HARQ Indicator Channel (PHICH)
  • PCFICH Physical Control Format Indicator Channel
  • PHICH Physical HARQ Indicator Channel
  • the PDCCH channel coding adopts a Tail-Biting Convolutional Coding (TBCC) with a length limit of seven, and a structure diagram of a tail-biting convolutional encoder.
  • TBCC Tail-Biting Convolutional Coding
  • the value of the last six bits, as such, the start state and the end state of the convolutional code will be the same state, eliminating the tail bits used in the normal convolutional code scheme for the end state to be zeroed; the tail biting convolutional code is generally adopted.
  • the viterbi decoding method performs decoding.
  • the viterbi decoding algorithm is a maximum likelihood decoding method, that is, the output selected by the decoder always makes the codeword with the highest probability of receiving the sequence condition. According to the principle of maximum likelihood decoding, one of the most suitable paths is obtained, that is, the one with the smallest distance, that is, the one with the smallest distance, and the path backtracking is used to obtain the decision output.
  • the viterbi algorithm is mainly composed of the “plus-selection” operation of the path metric, the update of the cumulative metric, and the backtracking of the maximum likelihood path.
  • G j,k is a convolutional code generating polynomial sequence
  • a convolutional code used in LTE is a convolutional code generating polynomial sequence
  • S i,k is the k-th value of the state variable i expressed in binary values
  • the value is ⁇ 0, 1 ⁇ , and the value of g i, j is ⁇ 1, -1 ⁇ .
  • Abs_metric abs_metric*VITERBI_IT.
  • Loop1 Counter i counts from 0 to N-1. In each step, the metric is calculated one by one for each state, and a comparison operation is performed;
  • Loop3 Counter i counts from VITERBI_IT*C+5 to 0, in each step:
  • the resource set defining the PDCCH blind detection is a PDCCH search space, and the search space is divided into a common search space and a UE-specific search space; wherein, the common search space is used for transmission and paging, random access response, and broadcast control channel.
  • the common search space is a PDCCH resource set that the UE must detect, the AL value of the PDCCH in the common search space is 4 or 8, and the CCE starting position is 0; the UE-specific search space It is a set of PDCCH resources that the UE must detect, and is used for transmitting control information related to a Downlink Share Channel (DL-SCH), an Uplink Share Channel (UL-SCH), and the like.
  • the AL value of the PDCCH of the space is 1, 2, 4 or 8; the starting position of the UE-specific search space, the subframe number and the Radio Network Temporary Identifier (RNTI) of the UE are related.
  • RNTI Radio Network Temporary Identifier
  • the UE attempts to decode various possible DCI formats and possible resource locations according to the state in which it is located and the DCI information expected to be received in the state; since the UE knows its own search space, the UE can learn
  • the DCI may be distributed on which CCEs; for different expected information, the UE performs CRC check with the X-RNTI corresponding to the expected information and the CCE in its own search space. If the CRC check succeeds, the UE confirms that the information is What you need, The corresponding DCI format is also known.
  • CCH control channel candidate codes Control Channel Candidats, Candidates
  • the probability of erroneously detecting DCI on each AL value is different, and the distribution of the viterbi decoding path relative metric (max_measure) is also different, and the max_measure value is equal to the maximum correlation metric of the viterbi decoding path (max_metric).
  • the processing flow of the method for identifying misdetection control information provided by the embodiment of the present invention, as shown in FIG. 3, includes the following steps:
  • Step 101 Calculate a relative metric value of a decoding path of the downlink control information that is verified;
  • CRC Cyclic Redundance Check
  • Step 102 Acquire an initial state and a termination state of the decoding surviving path, and calculate a Hamming distance between the initial state and the termination state.
  • the initial state of the six registers is usually set to the last six bits of the encoded data block, such that the initial state of the convolutional code state0 and the final state state1 are the same;
  • the state0 of the surviving path is used as one of the termination conditions of the viterbi decoding iteration, or as the identification condition of the DCI false detection;
  • the maximum number of viterbi decoding iterations is limited; In a good case, when the UE is blindly checked by DCI, even if the maximum number of Viterbi decoding iterations is reached, the state0 and state1 of the surviving path are not necessarily equal; since the error correction capability of the viterbi decoding can correct the wrong bit, even if The state0 and state1 of the surviving path are not equal, and the result of the viterbi decoding is also correct; in this case, if the state0 of the surviving path is equal to state1 as the decision condition of the DCI error detection, DCI miss detection will occur; and, in the wireless In the case of poor channel conditions, this kind of missed detection will be very serious, which greatly affects the performance of the LTE system;
  • the embodiment of the present invention calculates the Hamming distance between the initial state state0 and the termination state state1 as a factor for identifying the false detection control information by acquiring the initial state state0 and the termination state state1 of the viterbi decoding surviving path;
  • the decoding surviving path is an optimal decoding path in the decoding path, and calculating a Hamming distance between the initial state state0 and the terminating state1 is specifically: calculating an initial state of the surviving path State0 and the termination state of the surviving path state1.
  • the number of different bits of the binary value; the method of obtaining the initial state state0 and the terminating state1 of the surviving path is described in the description section of the viterbi algorithm described above, and is not described here.
  • Step 103 Identify the false detection control information according to the size of the relative metric value and the preset first threshold value, and the size of the Hamming distance and the preset second threshold value;
  • the relative metric value is less than the first threshold value, or the Hamming distance is greater than the second threshold value, it is identified as misdetection control information; otherwise, it is identified as non-false detection control information;
  • the processing flow for determining the first threshold value includes the following steps:
  • Step a setting a signal to noise ratio value (SIGNAL-NOISE RATIO, SNR) corresponding to different ALs;
  • the SNR is a PDCCH operating point set by the 3GPP TS36.101 specification, that is, an SNR value corresponding to a PDCCH block error rate (BLER) of 1%.
  • step b the original DCI bit is recorded.
  • step c CRC addition, channel coding, and transmission are performed on the DCI data.
  • step d the verified DCI bit data is compared with the recorded original DCI bit, and the relative metric value of the viterbi decoding in the case of correct detection and false detection, the rawBER and the viterbi decoding surviving path initial are respectively recorded according to the comparison result.
  • State and termination state ;
  • rawBER is a coded bit obtained by encoding a bit sequence outputted by the viterbi decoding, and compared with a bit sequence obtained by hard-decision of the soft bit data of the viterbi decoding input, and comparing the bit numbers different from the viterbi input.
  • the ratio of the length of the soft bit data is a coded bit obtained by encoding a bit sequence outputted by the viterbi decoding, and compared with a bit sequence obtained by hard-decision of the soft bit data of the viterbi decoding input, and comparing the bit numbers different from the viterbi input.
  • Step e statistically the distribution map of max_Measure and rawBER under the condition of correct detection and false detection of DCI;
  • Step f setting a first threshold according to a distribution map of max_Measure and rawBER in the case of DCI correct detection and false detection;
  • step 101 and step 102 do not exist in the sequence of execution, and step 101 may be performed first, then step 102 may be performed, or step 102 may be performed first, and then step 101 is performed.
  • the embodiment of the present invention further provides an apparatus for identifying misdetection control information.
  • the composition of the apparatus includes a calculation module 11, an acquisition module 12, and an identification. Module 13; wherein
  • the calculating module 11 is configured to calculate a decoding path of the downlink control information that passes the check Relative measure
  • the obtaining module 12 is configured to obtain an initial state and a stop state of the decoding surviving path, and calculate a Hamming distance between the initial state and the terminated state;
  • the identification module 13 is configured to identify the false detection control information according to the size of the relative metric value and the preset first threshold value, and the size of the Hamming distance and the preset second threshold value.
  • the first threshold value includes multiple threshold values related to the AL of the CCE occupied by the PDCCH.
  • the identification module 13 is configured to identify the misdetection control information when the relative metric value is less than the first threshold value, or when the Hamming distance is greater than the second threshold value; Otherwise, it is identified as non-false detection control information.
  • the calculation module 11 is specifically configured to obtain a maximum correlation metric value of the decoding path of the downlink control information that is verified, and an absolute value of the LLR data of the decoding input corresponding to the downlink control information. And calculating a ratio of the maximum correlation metric value to the sum of the absolute values of the LLR data to obtain a relative metric value of the decoding path.
  • CRC Cyclic Redundance Check
  • the initial state state0 and the termination state state1 of the viterbi decoding surviving path are obtained, and the Hamming distance between the initial state state0 and the termination state state1 is calculated as a factor for identifying misdetection control information;
  • Calculating the Hamming distance between the initial state state0 and the termination state state1 is specifically: calculating the number of different bits of the binary value of both the initial state state0 of the surviving path and the termination state state1 of the surviving path.
  • step b to step e shown in FIG. 4 statistics and analysis of the bit number distribution of the initial values of the viterbi decoding surviving path initial state state0 and the terminating state state1 in the case of DCI correct detection and misdetection are different;
  • the functions performed by the calculation module 11, the acquisition module 12, and the identification module 13 in the apparatus for identifying the false detection control information proposed in the embodiment of the present invention may be implemented by a processor, and may also be implemented by a specific logic circuit;
  • the processor may be a processor.
  • the processor may be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA).
  • the above method for identifying the misdetection control information is implemented in the form of a software function module and sold or used as a separate product, it may also be stored in a computer readable storage medium.
  • the technical solution of the embodiments of the present invention may be embodied in the form of a software product in essence or in the form of a software product stored in a storage medium, including a plurality of instructions.
  • a computer device (which may be a personal computer, server, or network device, etc.) is caused to perform all or part of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read only memory (ROM), a magnetic disk, or an optical disk.
  • program codes such as a USB flash drive, a mobile hard disk, a read only memory (ROM), a magnetic disk, or an optical disk.
  • an embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores a computer program, and the computer program is used to perform the foregoing identification of the embodiment of the present invention.
  • Method of misdetecting control information is used to perform the foregoing identification of the embodiment of the present invention.

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Abstract

本发明公开了一种识别误检控制信息的方法，所述方法包括：计算通过校验的下行控制信息的译码路径的相对度量值；获取译码幸存路径的初始态和终止态，计算所述初始态和所述终止态之间的汉明距离；根据所述相对度量值与预设的第一门限值的大小，以及所述汉明距离与预设的第二门限值的大小识别误检控制信息。本发明还同时公开了一种识别误检控制信息的装置及存储介质。

Description

一种识别误检控制信息的方法、装置及存储介质 技术领域
本发明涉及通信技术领域，尤其涉及一种识别误检控制信息的方法、装置及存储介质。
背景技术
在长期演进(Long Term Evolution，LTE)系统中，由下行物理控制信道(Physical Downlink Control Channel，PDCCH)承载下行控制信息(Downlink Control Information，DCI)，DCI包含一个或多个用户设备(User Equipment，UE)上的资源分配信息及其他类型的控制信息；PDCCH还承载上/下行数据传输的调度信息和上行功率控制命令信息，其中，所述上/下行数据传输的调度信息可以为资源分配(Resource allocation)信息、调制与编码策略(Modulation and Coding Scheme，MCS)等。
一般情况，LTE系统的一个子帧内可以有多个PDCCH，UE首先需要解调PDCCH中的DCI，然后才能够在相应的资源位置上解调属于UE自己的物理下行共享信道(Physical Downlink Shared Channel，PDSCH)，所述PDSCH承载广播消息、寻呼、UE的数据等信息。
但是，由于DCI具有多种格式，而UE在解调PDCCH中的DCI之前，并不知道接收到的PDCCH携带的是哪种格式的DCI，因此，UE必须对DCI的格式进行盲检；即，UE根据所使用的DCI的格式解调所有可能属于自己的PDCCH，搜索属于自己的信息；而对DCI的格式进行盲检会出现误检测的情况，即UE所解调的PDCCH并不是属于自己的；DCI的误检概率大小与循环冗余校验(Cyclical Redundancy Check，CRC)比特长度有关；PDCCH的CRC为16比特，DCI的理论误检率为1/65536；但是，在实际的无线通 信环境中，受传输信道的影响，误检率明显大于该值；如在LTE系统测试过程中，DCI format 0误检概率达2次/分钟；DCI的误检会导致UE异常的随机接入、UE发送/接收非预期的数据、下行混合自动重传请求(Hybrid Automatic Repeat Request，HARQ)反馈错误、UE上行功率异常调整等不可预知的问题，进而影响LTE系统的性能。
发明内容
有鉴于此，本发明实施例期望提供一种识别误检控制信息的方法、装置及存储介质，能够有效识别DCI的误检，提高LTE系统的性能。
发明实施例的技术方案是这样实现的：
本发明实施例提供一种识别误检控制信息的方法，所述方法包括：计算通过校验的下行控制信息的译码路径的相对度量值；获取译码幸存路径的初始态和终止态，计算所述初始态和所述终止态之间的汉明距离；根据所述相对度量值与预设的第一门限值的大小，以及所述汉明距离与预设的第二门限值的大小识别误检控制信息。
上述实现方案中，所述第一门限值包含与PDCCH占用的控制信道单位(Control Channel Element，CCE)的聚合度等级(Aggregation，AL)相关的多个门限值。
上述实现方案中，所述根据所述相对度量值与预设的第一门限值的大小，以及所述汉明距离与预设的第二门限值的大小识别误检控制信息，包括：在所述相对度量值小于所述第一门限值，或所述汉明距离大于第二门限值时，识别为误检控制信息。
上述实现方案中，所述计算译码路径的相对度量值，包括：获取通过校验的下行控制信息的译码路径最大相关度量值，以及所述下行控制信息所对应的译码输入的对数似然比LLR数据的绝对值之和，计算所述最大相关度量值与所述LLR数据的绝对值之和的比值，得到译码路径的相对度量 值。
上述实现方案中，所述PDCCH编码为咬尾卷积码，所述译码为viterbi译码。
本发明实施例还提供一种识别误检控制信息的装置，所述装置包括：计算模块、获取模块和识别模块；其中，
所述计算模块，配置为计算通过校验的下行控制信息的译码路径的相对度量值；
所述获取模块，配置为获取译码幸存路径的初始态和终止态，计算所述初始态和所述终止态之间的汉明距离；
所述识别模块，配置为根据所述相对度量值与预设的第一门限值的大小，以及所述汉明距离与预设的第二门限值的大小识别误检控制信息。
上述实现方案中，所述第一门限值包含与PDCCH占用的CCE的AL相关的多个门限值。
上述实现方案中，所述识别模块，具体配置为在所述相对度量值小于所述第一门限值，或所述汉明距离大于第二门限值时，识别为误检控制信息。
上述实现方案中，所述计算模块，具体配置为获取通过校验的下行控制信息的译码路径最大相关度量值，以及所述下行控制信息所对应的译码输入的LLR数据的绝对值之和，计算所述最大相关度量值与所述LLR数据的绝对值之和的比值，得到译码路径的相对度量值。
上述实现方案中，所述PDCCH编码为咬尾卷积码，所述译码为viterbi译码。
本发明实施例还提供了一种计算机存储介质，所述计算机存储介质存储有计算机程序，该计算机程序用于执行本发明实施例的上述识别误检控制信息的方法。
本发明实施例所提供的识别误检控制信息的方法、装置及存储介质，计算通过校验的下行控制信息的译码路径的相对度量值；获取译码幸存路径的初始态和终止态，计算所述初始态和所述终止态之间的汉明距离；根据所述相对度量值与预设的第一门限值的大小，以及所述汉明距离与预设的第二门限值的大小识别误检控制信息。如此，能够在不产生DCI漏检的情况下，有效地识别误检的DCI，避免UE异常的随机接入、UE发送/接收非预期的数据、HARQ反馈错误、UE上行功率异常调整等不可预知的问题，提高LTE系统的稳定性和LTE系统的性能。
附图说明
图1为本发明咬尾卷积编码器的结构示意图；
图2为本发明实施例卷积编码器T-1时刻到T时刻的状态转移示意图；
图3为本发明实施例识别误检控制信息的方法的处理流程示意图；
图4为本发明实施例确定第一门限值的处理流程示意图；
图5为本发明实施例DCI正确检测与误检情况下的max_Measure与rawBER的分布图；
图6为本发明实施例识别误检控制信息的装置组成结构示意图。
具体实施方式
为更好地理解本发明实施例，下面对LTE系统的PDCCH信道解调技术进行详细介绍。
PDCCH用来承载DCI，如上/下行数据传输的调度信息、上行功率控制信息和公共控制信息等；为了支持链路自适应，并尽可能降低UE检测的复杂度，PDCCH资源映射设计为以CCE为基本单位；一个PDCCH可能占用AL分别为1、2、4、8个CCE。
LTE系统中，一个下行子帧可能承载多个PDCCH，各个PDCCH首先 进行独立的CRC计算、加扰、信道编码，并根据AL进行速率匹配；然后，一个子帧中所有的PDCCH复用为一个数据比特流，并对该数据流进行填充，使各个PDCCH信道符合定义的CCE起始位置的规则，即：AL为n的PDCCH的起始位置是n的整数倍CCE位置，并且填充后的数据比特流长度能够充满分配给PDCCH的正交频分复用(Orthogonal Frequency Division Multiplexing，OFDM)符号的所有资源；所述资源是由控制格式指示信道(Physical Control Format Indicator Channel，PCFICH)指示的除去PCFICH占用的资源和混合自动重传指示物理信道(Physical HARQ Indicator Channel，PHICH)占用的资源；再对形成的数据流进行加扰、调制和多天线映射，最后映射到分配至PDCCH的物理资源上。
PDCCH信道编码采用限制长度为七的咬尾卷积码(Tail-Biting Convolutional Coding，TBCC)，咬尾卷积编码器的结构示意图，如图1所示，编码多项式为G0＝133(octal)、G1＝171(octal)、G2＝165(octal)；与普通卷积码方案采用全零的寄存器初始状态不同的是在咬尾卷积码中，六个寄存器的初始状态设置为编码数据块的最后六比特的数值，如此，卷积编码的起始状态和终止状态将是相同的状态，省去了普通卷积码方案中用于结束状态归零的尾比特；咬尾卷积码一般采用viterbi译码方法进行译码。
viterbi译码算法是一种最大似然译码方法，即译码器选择的输出总是使接收序列条件概率最大的码字。根据最大似然译码原理，在所有可能的路径中求取与接收序列最相似的一条，即：距离最小的一条，进行路径回溯获得判决输出。viterbi算法主要由路径度量的“加比选”运算，累积度量的更新，最大似然路径的回溯等过程组成。
当编码约束长度K＝7时，编码器有6个移位寄存器，则有26＝64个状态，分别为S0，S1，S2，…，S63。在卷积编码过程中，能到达T时刻的状态S2k、S2k+1的T-1时刻的状态有Sk和Sk+32这两个状态。卷积编码器T-1 时刻到T时刻的状态转移示意图，如图2所示，当输入信息位为0时(用实线表示输入的信息比特为0)到达S2k；当输入信息位为1时(用虚线表示输入的信息比特为1)，到达S2k+1；因此，可以两个相互比较，组成一个蝶形单元。
假设viterbi译码三路LLR的输入为pm(i)，m＝0,1,2，i＝0,1,...,C-1，C为每一路LLR的数据长度。则咬尾卷积码Viterbi算法描述如下：
(1)初始化；
定义每个时刻状态i的累积欧式距离measure(i)＝0，i＝0，1，2，…，63；
使用Pointer(i，j)记录某时刻Si状态选择的输入路径是Si/2或者Si/2+32，i＝0，1，2，…，63，j＝0，1，2，…，VITERBI_IT*C+6-1；其中，VITERBI_IT为最大viterbi译码迭代次数；
定义viterbi译码最优路径的相关度量值max_metric＝0。
使用TraceBack(j)记录最优路径回溯各时刻的状态信息,j＝0,1,2,…,VITERBI_IT*C+6-1。
将卷积码生成式子改写为译码器执行方便的形式，令
Figure PCTCN2015082990-appb-000001
其中，Gj,k是卷积码生成多项式序列，对于LTE采用的卷积码而言，
G0,k＝{1,0,1,1,0,1,1},k＝0,1,...,6；
G1,k＝{1,1,1,1,0,0,1},k＝0,1,...,6；
G2,k＝{1,1,1,0,1,0,1},k＝0,1,...,6；
Si,k则是状态变量i以二进制值表示的第k位数值；
又令
Figure PCTCN2015082990-appb-000002
其中，
Figure PCTCN2015082990-appb-000003
的取值为{0，1}，对应gi,j的取值为{1，-1}。
(2)路径度量的“加比选”运算；
定义viterbi输入LLR数据绝对值累加和为abs_metric＝0。
Loop0：计数器i从0计到C-1，tempSum＝|p0(i)|+|p1(i)|+|p2(i)|；
abs_metric+＝tempSum；
对计数器i的Loop0结束；
abs_metric＝abs_metric*VITERBI_IT。
设向前搜索长度N＝VITERBI_IT*C+6
Loop1：计数器i从0计到N-1，在每一步中，对每个状态逐个计算度量，并进行加比选操作；
Loop2：计数器j的每个计数值j(j＝0，1，…，31)；
Figure PCTCN2015082990-appb-000004
待各个状态计算完毕后，令measure(j)＝nextMeasure(j)；
其中，j＝0,1，...，63；
对计数器i的Loop1结束；
(3)最优路径回溯；
令max_metric＝measure(0)，TraceBack(VITERBI_IT*C+5)＝0；
Loop3：计数器i从VITERBI_IT*C+5计到0，在每一步中：
if Pointer(TraceBack(i),i)＝0
Figure PCTCN2015082990-appb-000005
else
Figure PCTCN2015082990-appb-000006
对计数器i的Loop3结束；
(4)输出译码结果以及对应的初始状态state0和终止状态state1；
out_bits(i)＝TraceBack(i+(VITERBI_IT-2)*C)mod 2，i＝0,1,…,C-1；
state0＝TraceBack((VITERBI_IT-2)*C-1)；
state1＝TraceBack((VITERBI_IT-1)*C-1)。
在LTE系统中，定义PDCCH盲检的资源集合为PDCCH搜索空间，搜索空间分为公共搜索空间和UE专用搜索空间；其中，公共搜索空间用于传输与寻呼、随机接入响应、广播控制信道(Broadcast Control Channel，BCCH)等相关的控制信息，公共搜索空间是UE必须检测的PDCCH资源集合，公共搜索空间中PDCCH的AL值为4或8，其CCE起始位置为0；UE专用搜索空间是UE必须检测的属于自己的PDCCH资源集合，用于传输与下行共享信道(Downlink Share Channel，DL-SCH)、上行共享信道(Uplink Share Channel，UL-SCH)等相关的控制信息，UE专用搜索空间的PDCCH的AL值为1、2、4或8；UE专用搜索空间的起始位置、子帧编号和UE的无线网络临时标识(Radio Network Temporary Identifier，RNTI)有关。
UE根据自身所处的状态以及在该状态下期待收到的DCI信息，对各种可能的DCI格式和可能占用的资源位置进行尝试译码；由于UE知道自身的搜索空间，因此，UE能够获知DCI可能分布在哪些CCE上；对于不同的期望信息，UE用与期望信息相应的X-RNTI与属于自身的搜索空间内的CCE做CRC校验，如果CRC校验成功，UE则确认此信息是自身需要的， 也获知了相应的DCI格式。
通常，UE不确定基站采用哪个AL值来发送DCI，所以UE按所有可能存在的AL值搜索；如：对于公共搜索空间，UE需要分别按AL＝4和AL＝8进行搜索；当按AL＝4搜索时，16个CCE需要搜索4次，也就是有4个CCH控制信道候选码(Control Channel Candidats，Candidates)；当按AL＝8搜索时，16个CCE需要搜索2次，也就是有2个CCH Candidates；那么，对于公共搜索空间，一共有6个CCH Candidates。对于UE专用搜索空间，UE需要分别按AL＝1、2、4和8进行搜索；根据LTE release8/9规范，UE专用搜索空间需要搜索的次数为16次，因此，在一个下行子帧内，根据最大可能的DCI格式组合，UE最大的盲检测次数为2×(6+16)＝44次。
在实际测试过程中，每个AL值上误检出DCI的概率不同，并且viterbi译码路径相对度量值(max_measure)的分布也不相同，max_measure值等于viterbi译码路径最大相关度量值(max_metric)与viterbi输入对数似然比(Log-Likelihood Ratio，LLR)数据绝对值累加和(abs_metric)的比值，即：max_measure＝max_metric/abs_metric)；通常，80％以上的误检DCI均是在AL＝1和AL＝2上检测出来的，而在AL＝1和AL＝2上误检到的DCI，其viterbi译码路径相对度量值max_measure也相当高。
下面结合附图和具体实施例对本发明的技术方案进一步详细阐述。
本发明实施例所提供的识别误检控制信息的方法的处理流程，如图3所示，包括以下步骤：
步骤101，计算通过校验的下行控制信息的译码路径的相对度量值；
具体地，首先获取通过校验的下行控制信息的译码路径最大相关度量值，以及所述下行控制信息所对应的译码输入的LLR数据的绝对值之和，再计算所述最大相关度量值与所述LLR数据的绝对值之和的比值，得到译 码路径的相对度量值；
其中，所述校验为循环冗余校验(Cyclic Redundance Check，CRC)，所述译码为viterbi译码；所述最大相关度量值用max_metric表示，所述LLR数据的绝对值之和的比值用abs_metric表示，所述相对度量值用max_measure表示，max_measure＝max_metric/abs_metric；
这里，max_metric和abs_metric获取方法参见上述viterbi算法描述部分，这里不再赘述。
步骤102，获取译码幸存路径的初始态和终止态，计算所述初始态和所述终止态之间的汉明距离；
在咬尾卷积码中，通常将六个寄存器的初始状态设置为编码数据块的最后六比特的数据，如此，卷积编码的起始态state0和终止态state1是相同的；在译码过程中，会利用幸存路径的state0等于state1的特性作为viterbi译码迭代的终止条件之一，或作为DCI误检的识别条件；
但是，为节省硬件资源，减少单次译码消耗的时间，确保LTE系统的时序，降低LTE系统的功耗，在具体实现时，会限定viterbi译码迭代次数的最大值；在无线信道条件不好的情况下，UE在DCI盲检时，即使达到最大viterbi译码迭代次数，其幸存路径的state0和state1也不一定相等；由于viterbi译码的纠错能力能够纠正错误的比特，因此，即使幸存路径的state0和state1不相等，viterbi译码的结果也是正确的；这种情况下，如果以幸存路径的state0等于state1作为DCI错误检测的判决条件，则会产生DCI漏检；并且，在无线信道条件不好的情况下，这种漏检情况会非常严重，极大地影响了LTE系统的性能；
因此，本发明实施例通过获取viterbi译码幸存路径的初始态state0和终止态state1，计算所述初始态state0和所述终止态state1之间的汉明距离作为识别误检控制信息的因素；
其中，所述译码幸存路径为所述译码路径中最优的一条译码路径，计算所述初始态state0和所述终止态state1之间的汉明距离具体为：计算幸存路径的初始态state0和幸存路径的终止态state1两者二进制数值不同比特的个数；幸存路径的初始态state0和终止态state1的获取方法参见上述viterbi算法描述部分，这里不再赘述。
步骤103，根据所述相对度量值与预设的第一门限值的大小，以及所述汉明距离与预设的第二门限值的大小识别误检控制信息；
具体地，在所述相对度量值小于所述第一门限值，或所述汉明距离大于第二门限值时，识别为误检控制信息；否则，识别为非误检控制信息；
其中，所述第一门限值为包含与PDCCH占用的CCE的AL相关的多个门限值，AL＝1，2，4，8；与AL＝1对应的第一门限值为TH1，与AL＝2对应的第一门限值为TH2，与AL＝4对应的第一门限值为TH4，与AL＝8对应的第一门限值为TH8；
这里，确定第一门限值的处理流程，如图4所示，包括以下步骤：
步骤a，设置不同AL对应的信噪比值(SIGNAL-NOISE RATIO，SNR)；
所述SNR为3GPP TS36.101规范设定的PDCCH工作点，即PDCCH误块率(BLER)为1％时所对应的SNR值。
步骤b，记录原始的DCI比特。
步骤c，对DCI数据进行CRC添加、信道编码、发送。
步骤d，将校验通过的DCI比特数据与记录的原始的DCI比特进行对比，根据对比的结果分别记录正确检测与误检情况下viterbi译码的相对度量值、rawBER和viterbi译码幸存路径初始态和终止态；
其中，rawBER为viterbi译码输出的比特序列进行编码后得到的编码比特，与viterbi译码输入的软比特数据进行硬判决得到的比特序列进行比较，比较得到两者不同的比特数相对于viterbi输入软比特数据长度所占的比率。
步骤e，统计DCI正确检测与误检情况下,max_Measure与rawBER的分布图；
其中，AL＝1时，DCI正确检测与误检情况下的max_Measure与rawBER的分布图，如图5所示，圆点表示正确检测的DCI，圆圈表示误检的DCI。
步骤f，根据DCI正确检测与误检情况下的max_Measure与rawBER的分布图设定第一门限；
具体地，以AL＝1为例，如图5所示，横坐标为检测到的DCI的max_Measure值；正确检测的DCI，其max_Measure值分布均大于0.95，而误检DCI的max_Measure值分布均小于0.9087，因此，将AL＝1的viterbi译码门限值TH1设定为0.9087，即可在不产生漏检的情况下，去除全部的误检DCI；
第一门限值包括TH1、TH2、TH4和TH8，相应的，可得到TH2＝0.815，TH4＝0.7，TH8＝0.65。
在执行步骤b至步骤e的过程中，统计并分析DCI正确检测与误检情况下viterbi译码幸存路径初始状态state0和终止状态state1两者二进制数值不同的比特数分布；当最大viterbi译码迭代次数为3时，state0和state1两者二进制数值不同比特数小于2的情况下，可达到DCI检测误检概率与漏检概率的最佳折衷；因此，设定第二门限值T＝2。
需要说明的是，本发明实施例中，步骤101和步骤102不存在执行的先后顺序，既可以先执行步骤101，再执行步骤102，也可以先执行步骤102，再执行步骤101。
为实现上述识别误检控制信息的方法，本发明实施例还提供一种识别误检控制信息的装置，所述装置的组成结构，如图6所示，包括计算模块11、获取模块12和识别模块13；其中，
所述计算模块11，配置为计算通过校验的下行控制信息的译码路径的 相对度量值；
所述获取模块12，配置为获取译码幸存路径的初始态和终止态，计算所述初始态和所述终止态之间的汉明距离；
所述识别模块13，配置为根据所述相对度量值与预设的第一门限值的大小，以及所述汉明距离与预设的第二门限值的大小识别误检控制信息。
上述实现方案中，所述第一门限值包含与PDCCH占用的CCE的AL相关的多个门限值。
上述实现方案中，所述识别模块13，具体配置为在所述相对度量值小于所述第一门限值，或所述汉明距离大于第二门限值时，识别为误检控制信息；否则，识别为非误检控制信息。
上述实现方案中，所述计算模块11，具体配置为获取通过校验的下行控制信息的译码路径最大相关度量值，以及所述下行控制信息所对应的译码输入的LLR数据的绝对值之和，计算所述最大相关度量值与所述LLR数据的绝对值之和的比值，得到译码路径的相对度量值。
上述实现方案中，所述校验为循环冗余校验(Cyclic Redundance Check，CRC)，所述译码为viterbi译码；所述最大相关度量值用max_metric表示，所述LLR数据的绝对值之和的比值用abs_metric表示，所述相对度量值用max_measure表示，max_measure＝max_metric/abs_metric。
上述实现方案中，通过获取viterbi译码幸存路径的初始态state0和终止态state1，计算所述初始态state0和所述终止态state1之间的汉明距离作为识别误检控制信息的因素；其中，计算所述初始态state0和所述终止态state1之间的汉明距离具体为：计算幸存路径的初始态state0和幸存路径的终止态state1两者二进制数值不同比特的个数。
上述实现方案中，所述第一门限值为包含与PDCCH占用的CCE的AL相关的多个门限值，AL＝1，2，4，8；与AL＝1对应的第一门限值为TH1， 与AL＝2对应的第一门限值为TH2，与AL＝4对应的第一门限值为TH4，与AL＝8对应的第一门限值为TH8；
这里，根据图4所示步骤确定第一门限值，第一门限值包括TH1、TH2、TH4和TH8，TH1＝0.9087，TH2＝0.815，TH4＝0.7，TH8＝0.65；
在执行图4所示步骤b至步骤e的过程中，统计并分析DCI正确检测与误检情况下viterbi译码幸存路径初始状态state0和终止状态state1两者二进制数值不同的比特数分布；当最大viterbi译码迭代次数为3时，state0和state1两者二进制数值不同比特数小于2的情况下，可达到DCI检测误检概率与漏检概率的最佳折衷；因此，设定第二门限值T＝2。
本发明实施例中提出的识别误检控制信息的装置中的计算模块11、获取模块12和识别模块13执行的功能都可以通过处理器来实现，当然也可通过具体的逻辑电路实现；其中所述处理器可以是处理器，在实际应用中，处理器可以为中央处理器(CPU)、微处理器(MPU)、数字信号处理器(DSP)或现场可编程门阵列(FPGA)等。
本发明实施例中，如果以软件功能模块的形式实现上述识别误检控制信息的方法，并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明实施例的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机、服务器、或者网络设备等)执行本发明各个实施例所述方法的全部或部分。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read Only Memory，ROM)、磁碟或者光盘等各种可以存储程序代码的介质。这样，本发明实施例不限制于任何特定的硬件和软件结合。
相应地，本发明实施例还提供一种计算机存储介质，该计算机存储介质中存储有计算机程序，该计算机程序用于执行本发明实施例的上述识别 误检控制信息的方法。
以上所述仅为本发明的较佳实施例而已，并非用于限定本发明的保护范

Claims (11)

  1. 一种识别误检控制信息的方法，所述方法包括：
    计算通过校验的下行控制信息的译码路径的相对度量值；
    获取译码幸存路径的初始态和终止态，计算所述初始态和所述终止态之间的汉明距离；
    根据所述相对度量值与预设的第一门限值的大小，以及所述汉明距离与预设的第二门限值的大小识别误检控制信息。
  2. 根据权利要求1所述识别误检控制信息的方法，其中，所述第一门限值包含与下行物理控制信道PDCCH占用的控制信道单位CCE的聚合度等级AL相关的多个门限值。
  3. 根据权利要求1或2所述识别误检控制信息的方法，其中，所述根据所述相对度量值与预设的第一门限值的大小，以及所述汉明距离与预设的第二门限值的大小识别误检控制信息，包括：
    在所述相对度量值小于所述第一门限值，或所述汉明距离大于第二门限值时，识别为误检控制信息。
  4. 根据权利要求1或2所述识别误检控制信息的方法，其中，所述计算译码路径的相对度量值，包括：
    获取通过校验的下行控制信息的译码路径最大相关度量值，以及所述下行控制信息所对应的译码输入的对数似然比LLR数据的绝对值之和，计算所述最大相关度量值与所述LLR数据的绝对值之和的比值，得到译码路径的相对度量值。
  5. 根据权利要求2所述识别误检控制信息的方法，其中，所述PDCCH编码为咬尾卷积码，所述译码为viterbi译码。
  6. 一种识别误检控制信息的装置，所述装置包括：计算模块、获取模 块和识别模块；其中，
    所述计算模块，配置为计算通过校验的下行控制信息的译码路径的相对度量值；
    所述获取模块，配置为获取译码幸存路径的初始态和终止态，计算所述初始态和所述终止态之间的汉明距离；
    所述识别模块，配置为根据所述相对度量值与预设的第一门限值的大小，以及所述汉明距离与预设的第二门限值的大小识别误检控制信息。
  7. 根据权利要求6所述识别误检控制信息的装置，其中，所述第一门限值包含与PDCCH占用的CCE的AL相关的多个门限值。
  8. 根据权利要求6或7所述识别误检控制信息的装置，其中，所述识别模块，配置为在所述相对度量值小于所述第一门限值，或所述汉明距离大于第二门限值时，识别为误检控制信息。
  9. 根据权利要求6或7所述识别误检控制信息的装置，其中，所述计算模块，配置为获取通过校验的下行控制信息的译码路径最大相关度量值，以及所述下行控制信息所对应的译码输入的LLR数据的绝对值之和，计算所述最大相关度量值与所述LLR数据的绝对值之和的比值，得到译码路径的相对度量值。
  10. 根据权利要求7所述识别误检控制信息的装置，其中，所述PDCCH编码为咬尾卷积码，所述译码为viterbi译码。
  11. 一种计算机存储介质，所述计算机存储介质中存储有计算机可执行指令，该计算机可执行指令用于执行权利要求1至5任一项所述的识别误检控制信息的方法。
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