WO2013155908A1 - 一种re检测方法及装置 - Google Patents

一种re检测方法及装置 Download PDF

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Publication number
WO2013155908A1
WO2013155908A1 PCT/CN2013/072514 CN2013072514W WO2013155908A1 WO 2013155908 A1 WO2013155908 A1 WO 2013155908A1 CN 2013072514 W CN2013072514 W CN 2013072514W WO 2013155908 A1 WO2013155908 A1 WO 2013155908A1
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group
center
res
detection
filter coefficient
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PCT/CN2013/072514
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English (en)
French (fr)
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石蕊
张文硕
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电信科学技术研究院
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Publication of WO2013155908A1 publication Critical patent/WO2013155908A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/06—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection
    • H04L25/061—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection providing hard decisions only; arrangements for tracking or suppressing unwanted low frequency components, e.g. removal of dc offset
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2626—Arrangements specific to the transmitter only
    • H04L27/2627—Modulators
    • H04L27/2634—Inverse fast Fourier transform [IFFT] or inverse discrete Fourier transform [IDFT] modulators in combination with other circuits for modulation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only

Definitions

  • the present invention relates to communication technologies, and in particular, to a RE (Resource Element) detection method and apparatus.
  • RE Resource Element
  • the receiver processing is very large in order to support large bandwidth, which brings a relatively large limitation to the implementation and is limited by the implementation capability. Many receivers are difficult to implement better performance algorithms. At the same time, due to the high computational load, the receiver energy consumption increases, and the large chip area is also a problem.
  • OFDM is a multi-carrier transmission method. It divides the frequency band into transmission data of multiple subchannels in parallel. Because it has high spectrum utilization and can resist multipath fading, it is widely used in high-speed wireless (wired) communication systems, including ADSL/DVB/DAB (Asymmetric Digital Subscriber Line, Asymmetric Digital Subscriber Line / Digital Video Broadcasting) More mature communication systems such as Data Video Broadcasting/Digital Audio Broadcasting, Data Wireless Broadcasting, IEEE 802.11 (Institute of Electrical and Electronics Engineers) and ETSI HiperLan (European Telecommunications) Standards Institute HIPERLAN, European Telecommunications Standards Institute Wireless Local Area Network (WLAN) Protocol, 1993. It can be considered that OFDM is a promising transmission technology.
  • ADSL/DVB/DAB Asymmetric Digital Subscriber Line, Asymmetric Digital Subscriber Line / Digital Video Broadcasting
  • More mature communication systems such as Data Video Broadcasting/Digital Audio Broadcasting, Data Wireless Broadcasting, IEEE 802.11 (Institute of Electrical and Electronics Engineers)
  • the OFDM signal consists of multiple subcarriers transmitted in parallel, the frequency domain selective fading and narrowband pulse interference will only destroy several of the subcarriers, and most of the signals can still be recovered correctly. Therefore, the OFDM signal is not like a single signal. The carrier signal is completely destroyed, and most of the subchannels are only slightly changed. Even without the aid of FEC (Forward Error Correction), the error performance is still better than that of the single carrier system.
  • FEC Forward Error Correction
  • OFDM technology uses the method of inserting CP to reduce inter-symbol interference, and OFDM uses FFT.
  • the technology implements the division of subchannels, so the equalization of the OFDM communication system will be simpler than that of the single carrier system.
  • OFDM orthogonal frequency division multiplexing
  • OFDM technology is applied in many fields.
  • internal processing of the receiver includes channel estimation, detection, decoding, and the like.
  • the LTE system is a typical communication system using OFDM technology, and the processing process of the receiver is more complicated due to the introduction of MIMO (Multiple Input Multiple Output) technology.
  • MIMO Multiple Input Multiple Output
  • the basic resource structure in the LTE system is given by the behavior example under LTE (Long Term Evolution).
  • LTE Long Term Evolution
  • each LTE frame is divided into 10 subframes, each subframe is further divided into 2 slots, and each slot is further divided into a plurality of OFDM symbols, for each OFDM symbol,
  • the entire bandwidth is divided into multiple subcarriers, then the single subcarrier transmitted on each OFDM symbol is a basic RE.
  • one time slot in the time domain is defined, and the resource block of 180 kHz in the frequency domain is a PRB (Physical Resource Block).
  • PRB Physical Resource Block
  • the basic unit for channel estimation and detection is a single RE.
  • the receiver needs to process 2400 REs per detection, each subcarrier needs to have independent channel estimation, and independent detection, according to such scale, the terminal receives Machine-to-chip processing capability is very high. At the same time, the cost of chip area and power consumption are all problems that need to be faced.
  • ML detection method has the best performance, but the ML detection method has too high computational complexity and is difficult to apply in practice; while the linear detection methods such as ZF and MMSE have relatively low complexity, but the performance is poor; spherical SD detection Although the nonlinear detection algorithm is close to the ML detection method in performance, the complexity is high.
  • Step S301 performing de-CP on the received signal r to obtain the signal 1;
  • Step S302 performing time 1
  • the frequency transform obtains data r transmitted in parallel in the frequency domain, and the data on each subcarrier is represented as ', where ⁇ (0,1, ⁇ , - 1), /e (0, l, ...., J -l) .
  • Step S303 performing channel estimation on the pilot, and obtaining a channel estimation H P under each port, where P is the number of ports;
  • Step S304 performing interpolation on each pilot channel estimation, and obtaining each OFDM symbol in the entire resource
  • the computational complexity is relatively high.
  • the channel estimation and detection part is the largest, which accounts for 70% of all calculations.
  • matrix multiplication and inversion are performed.
  • the complexity is high, especially the inversion is complicated with the increase of the receiving antenna.
  • the performance requirements of the hardware are very high, and the current industry has not been able to effectively reduce the calculation.
  • Embodiments of the present invention provide a RE detection method and apparatus to reduce the complexity of RE detection.
  • a RE detection method including:
  • the filter coefficient of the center RE is determined, and each RE in the group is filtered according to the filter coefficient to determine the detection result.
  • a RE detecting device comprising:
  • a determining unit configured to divide at least two adjacent resource units RE into a group, and determine a center RE in each group;
  • a detecting unit configured to determine, for each RE group, a filter coefficient of the center RE, and filter each RE in the group according to the filter coefficient to determine a detection result.
  • An embodiment of the present invention provides a RE detection method and apparatus, which determines that at least two adjacent REs are one RE group, and determines a filter coefficient by using one RE in the RE group, and uses the filter coefficient to each RE in the RE group. Filtering is performed to determine the detection result. Thus, for each RE group, only one filter coefficient needs to be determined, which reduces the complexity of RE detection.
  • FIG. 1 is a schematic diagram of a system implementation process based on IFFT/FFT in the background art
  • FIG. 2 is a schematic diagram of resources of an LTE system in the background art
  • 3 is a flow chart of receiving data on a single subcarrier by a receiver in the background art
  • FIG. 4 is a flowchart of a RE detection method according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of a RE group according to an embodiment of the present invention.
  • FIG. 6 is a flowchart of receiving data by a receiver on a single subcarrier according to an embodiment of the present invention
  • FIG. 7 is a schematic diagram of a method for dividing a RE group according to an embodiment of the present invention.
  • FIG. 9 is a second schematic diagram of a RE group according to an embodiment of the present invention.
  • FIG. 10 is a schematic structural diagram of a RE detecting apparatus according to an embodiment of the present invention. detailed description
  • An embodiment of the present invention provides a RE detection method and apparatus, which determines that at least two adjacent REs are one RE group, and determines a filter coefficient by using one RE in the RE group, and uses the filter coefficient to each RE in the RE group. Filtering is performed to determine the detection result. Thus, for each RE group, only one filter coefficient needs to be determined, which reduces the complexity of the RE detection.
  • the RE detection method provided by the embodiment of the present invention includes:
  • Step S401 dividing at least two adjacent REs into one group, and determining a center RE in each group;
  • Step S402 Determine, for each RE group, a filter coefficient of the center RE, and filter each RE in the group according to the filter coefficient to determine a detection result.
  • each RE group includes at least two REs, and for each RE group, only one filter coefficient is determined according to the central RE therein, and each RE in the group is filtered according to the filter coefficient, thereby reducing the calculation. Quantity, reducing the complexity of RE detection.
  • the RE detection method provided by the embodiment of the present invention has no loss of detection performance in a common scenario. There is some loss in detection performance only in the harsh channel environment.
  • the channel difference between adjacent REs is small, when RE grouping is performed, it is possible to determine that five REs constituting a cross shape are one RE group. As shown in Figure 5, the RE at the center of each group has four REs adjacent to it.
  • a center RE is determined in each group, and specifically: It is determined that among the five REs constituting the cross shape, the REs adjacent to the other four REs are the center RE.
  • the method for performing the RE detection specifically includes: Step S601, performing de-CP on the received signal r to obtain the signal i; step S602, performing time-frequency transform on the first time, and obtaining data r transmitted in parallel in the frequency domain, and the data on each subcarrier is represented as 1 ⁇ ';
  • Step S603 performing channel estimation on the pilot, and obtaining a channel estimate H P under each port, where P is the number of ports; Step S604, performing interpolation on each pilot channel estimate to obtain each OFDM symbol in the entire resource.
  • Step S605 Define a RE group according to the pattern of the cross flower, and a cross flower RE group is as shown in FIG. 5, wherein the RE with the label 5 is the center RE. Due to the particularity of the pattern of the cross flower, some REs at the edge of the resource block cannot appear in the complete cross-corre RE group. As shown in Figure 7, the two REBs in the dotted line are taken as an example to illustrate the specific RE.
  • Group grouping method Every 5 REs are grouped in a pattern of cross flowers, the center is identified as 5, the center is RE, the identifier is 1, 2, 3, 4 is the neighboring RE of the center RE, and the PRB occupied by the UE At the edge of the resource, there will be some cases where the center RE of some cross-flag groups does not appear in the resource block, as shown by the slash in Figure 7.
  • Step S607 for the first?
  • the RE in the cross flower resource group is filtered to calculate the detection result;
  • the detection result of the center RE is determined as: k , 1 qk , 1 ;
  • the detection results of other REs in the group are determined as: k , 1 qk , l .
  • the detection result is further demodulated and the soft bit information is sent to the decoder for decoding to obtain the final demodulated bit information.
  • each cross-corre RE group only calculates the filter coefficient of the center RE in the process of calculating the filter coefficient, so the filter coefficients are used when filtering other REs in the group, so the computational complexity is effectively reduced. From The computational complexity of the entire receiver is greatly reduced.
  • the channel estimation of the central RE has a strong correlation with the neighboring RE in a cross-RE resource group, the error caused by the cylinderization is small, and the performance is basically not lost in the general channel environment.
  • this binning algorithm is highly applicable in the implementation, and the calculation amount is due to the detection portion. It can be reduced to about 1/4 of the original, and the computational complexity has been significantly reduced, which is an ideal implementation.
  • Figure 8a is a comparison of link throughput performance in EVA5
  • Figure 8b is a comparison of link throughput performance in EVA30
  • Figure 8c is a comparison of link throughput performance in ETU30.
  • the specific simulation parameters are shown in Table 1. Show:
  • the RE detection method provided by the embodiment of the present invention has no performance loss compared with the conventional method, in a very bad channel environment (for example: ETU300), there is a certain loss in performance, but it is not serious in general. Therefore, it can be seen that the present invention is a better performance and robustness of the binning algorithm.
  • the embodiments of the present invention are described in the description of the technical solution and the performance of the solution in the LTE system. The technical solution provided by the embodiment of the present invention can be applied to other OFDM multi-carrier systems in practical applications.
  • grouping when performing RE grouping, grouping may be performed according to other manners. For example, nine REs constituting a square may be determined as one RE group. As shown in FIG. 9, the number is determined as The RE of 5 is the center RE, that is, among the nine REs that form a square, the RE located at the center of the square is the center RE.
  • a person skilled in the art may further extend the other grouping manner according to the grouping manner provided by the embodiment of the present invention, as long as the at least two adjacent REs are grouped into one group, and are detected according to the RE detecting method provided by the embodiment of the present invention.
  • the computational complexity can be greatly reduced with less performance loss.
  • an RE detection device is also provided in the embodiment of the present invention.
  • the principle of solving the problem is similar to the method for detecting the RE in the embodiment of the present invention. Therefore, the implementation of the device can refer to the implementation of the method, and the method is repeated. I won't go into details here.
  • the RE detecting device provided by the embodiment of the present invention, as shown in FIG. 10, includes:
  • a determining unit 1001 configured to divide at least two adjacent resource units RE into a group, and determine a center RE in each group;
  • the detecting unit 1002 is configured to determine a filter coefficient of the center RE for each RE group, and filter each RE in the group according to the filter coefficient to determine a detection result.
  • the determining unit 1001 divides at least two adjacent resource units RE into a group, and specifically includes: determining that five REs constituting a cross shape are one RE group.
  • the determining unit 1001 determines a center RE in each group, and specifically includes:
  • the determining unit 1001 divides the at least two adjacent resource units RE into a group, and specifically includes: determining that the nine REs constituting the square are one RE group.
  • the determining unit 1001 determines a center RE in each group, and specifically includes:
  • the RE at the center of the square is the center RE.
  • An embodiment of the present invention provides a RE detection method and apparatus, which determines that at least two adjacent REs are one RE group, and determines a filter coefficient by using one RE in the RE group, and uses the filter coefficient to each RE in the RE group. Filtering is performed to determine the detection result. Thus, for each RE group, only one filter coefficient needs to be determined, which reduces the complexity of the RE detection.
  • 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 present invention can be applied to one or more computers in which computer usable program code is included. A form of computer program product embodied on a storage medium (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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Abstract

本申请涉及通信技术，尤其涉及一种RE检测方法及装置，以实现降低RE检测的复杂度。本申请的方法包括：将至少两个临近的RE划分为一组，并在每组内确定一个中心RE；对于每个RE组，确定中心RE的滤波系数，并根据该滤波系数对该组内每个RE进行滤波，确定检测结果。由于确定邻近的至少两个RE为一个RE组，并通过该RE组中的一个RE确定滤波系数，使用该滤波系数对该RE组内每个RE进行滤波，确定检测结果。这样，对于每个RE组，都只需要确定一个滤波系数，降低了RE检测的复杂度。

Description

一种 RE检测方法及装置
本申请要求在 2012年 4月 18 日提交中国专利局、 申请号为 201210115364.5、 发明名 称为"一种 RE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， 尤其涉及一种 RE ( Resource Element, 资源单位）检测方法及 装置。 背景技术
在目前的 OFDM(Orthogonal Frequency Division Multiplexing, 正交频分复用）宽带系统 中， 为支持大带宽导致接收机处理计算量非常大， 从而给实现带来了比较大的限制， 受限 于实现能力， 很多接收机难以实现性能更优的算法， 同时， 由于计算量高而带来的接收机 能耗增大， 芯片面积大也是随之而来的问题。
具体的， OFDM是一种多载波的传输方法。 它将频带划分成多个子信道并行的传输数 据。 由于它频谱利用率高， 而且能对抗多径衰落， 所以广泛应用于高速无线 （有线）通信 系统中， 其中包括 ADSL/DVB/DAB ( Asymmetric Digital Subscriber Line, 非对称数字用户 环路/ Digital Video Broadcasting, 数据视频广播 /Digital Audio Broadcasting, 数据音频广播 ) 等较为成熟的通信系统， 又被无线局域网的标准 IEEE 802.11 ( Institute of Electrical and Electronics Engineers , 美国电气和电子工程师协会） 系列及 ETSI HiperLan ( European Telecommunications Standards Institute HIPERLAN , 欧洲电信标准化协会无线局域网 (WLAN)协议）釆纳。 可以认为， OFDM是一种很有前景的传输技术。
在 OFDM系统中， 基于 IFFT/FFT ( Inverse Fast Fourier Transform, 快速傅里叶反变换 / Fast Fourier Transform, 快速傅里叶变换） 的系统实现流程如图 1所示， 对于输入信号进 行串 /并转换， 对转换后的信号进行 QPSK ( Quadrature Phase Shift Keying, 四相相移键控） 调制、 IFFT变换、 插入 CP (循环前缀）处理， 再对处理后的信号进行并 /串转换； 对于输 出的信号， 首先进行串 /并转换， 对转换后的信号进行去掉 CP处理、 FFT变换、 QPSK解 调， 再对解调后的信号进行并 /串转换。
由于 OFDM信号由并行传输的多个子载波组成，所以频域选择性衰落和窄带脉冲千扰 只会破坏其中的几个子载波， 大多数信号仍然能够正确的恢复出来， 因此 OFDM信号并不 会像单载波信号那样被完全破坏， 大多数子信道只是稍稍崎变了一点， 即使没有 FEC (前 向纠错） 的辅助， 误码性能仍然优于单载波系统。
另外 OFDM技术中釆用插入 CP的方法来减少符号间千扰， 并且 OFDM使用了 FFT 技术实现了子信道的划分， 因此 OFDM通信系统的均衡相对于单载波系统来说，会筒单一 些。
OFDM技术的优点有： 频谱效率高、 抗 ISI ( Inter Symbol Interference, 符号间千扰） 能力强。 未来数据业务的需求导致必然使用大带宽， 此时 OFDM在常见的通信条件下， 比 传统的 DS-CDMA ( Direct Sequence-Code Division Multiple Access, 直接序列码分多址）更 有优势。
目前 OFDM技术在很多领域都有应用， 使用 OFDM系统的通信系统中， 接收机内部 处理包括信道估计， 检测， 译码等过程。 LTE系统是应用 OFDM技术的一个典型的通信系 统， 同时由于引入了 MIMO ( Multiple In Multiple Out , 多输入多输出 )技术， 接收机的处 理过程更加复杂。
如图 2所示， 以 LTE ( Long Term Evolution, 长期演进） 下行为例， 给出了 LTE系统 中的基本的资源结构。 在此结构中， 在时域， 每个 LTE的帧分为 10个子帧， 每个子帧又 分为 2个时隙， 每个时隙又分为多个 OFDM符号， 对于每个 OFDM符号， 在整个带宽分 为多个子载波， 那么在每个 OFDM符号上传输的单个子载波是一个基本的 RE。 这里， 定 义时域 1个时隙， 频域上 180KHz的资源块为一个 PRB ( Physical Resource Block, 物理资 源块）， 对于 LTE系统的接收机来说， 进行信道估计和检测的基本单位是单个 RE, 在 LTE 下行 20M带宽 MIMO配置为 2*2的情况下， 接收机每次检测需要处理 2400个 RE, 每个 子载波需要有独立的信道估计， 并进行独立的检测， 按照这样的规模， 终端接收机对芯片 处理能力要求很高， 同时， 芯片面积， 功耗带来的成本问题都是需要面对的问题。
在目前的 LTE系统中， 由于釆用了 MIMO技术， 目前研究中比较普遍的检测算法有 很多， 包含 ML (最大似然）检测， ZF ( Zero Forcing, 迫零）检测， 最 MMSE (最小均方 误差）检测， SD (球形）检测等检测方法。 其中， ML检测方法性能最优， 但 ML检测方 法的运算复杂度过高， 难以在实际中应用； 而 ZF, MMSE等线性检测方法的复杂度虽然 相对较低， 但是性能较差； 球形 SD检测等非线性检测算法虽然在性能上接近 ML检测方 法， 但复杂度很高。
如图 3所示，以下行 MMSE检测算法为例来描述接收机在单个子载波进行数据接收的 详细步骤： 步骤 S301、 对接收信号 r进行去 CP, 得到信号 1 ; 步骤 S302、 对 1进行时频变换， 得到频域并行传输的数据 r , 每个子载波上的数据表 示为 '， 其中 ε (0，1，····， — 1) , /e (0,l, ....,J -l) . 由传输带宽决定， 例如， 20Μ带宽 下 = 1200 ; J是一个子帧对应的 OFDM符号数， 常规 CP配置下 L值是 14。 步骤 S303、对导频进行信道估计， 得到每个端口下的信道估计 HP， 其中 P是端口数； 步骤 S304、 对每个导频信道估计进行插值， 得到整个资源下每个 OFDM符号中每个
τ τΡ
子载波的信道估计 kJ；
步骤 S305、 以单个 RE为单位进行数据检测， 以 MMSE线性检测算法为例， 按照下 式进行处理： l = (Η【，/ ^ H , + I)_1 H ,/ ^~k,lYk,l 步骤 S306、 对 SW进行解调并将软比特信息送入译码器进行译码； 得到最终的解调比 特信息 b。
在上述的处理流程中， 计算复杂度比较高的是信道估计和检测部分， 其中检测的计算 量最大， 基本占到所有计算量的 70%, 加入了 MIMO技术之后， 进行矩阵乘加和求逆中， 计算复杂度较高， 特别是求逆随着接收天线的增加复杂度为 对于宽带系统， 如果 要处理大量的子载波， 对硬件的性能要求非常高， 目前行业内还没有能够有效降低计算量 并且性能损失较小的方案。 发明内容
本发明实施例提供一种 RE检测方法及装置， 以实现降低 RE检测的复杂度。
一种 RE检测方法， 包括：
将至少两个临近的资源单元 RE划分为一组， 并在每组内确定一个中心 RE;
对于每个 RE组， 确定中心 RE的滤波系数， 并根据该滤波系数对该组内每个 RE进行 滤波， 确定检测结果。
一种 RE检测装置， 包括：
确定单元， 用于将至少两个临近的资源单元 RE划分为一组， 并在每组内确定一个中 心 RE;
检测单元， 用于对于每个 RE组， 确定中心 RE的滤波系数， 并根据该滤波系数对该 组内每个 RE进行滤波， 确定检测结果。
本发明实施例提供一种 RE检测方法及装置， 确定邻近的至少两个 RE为一个 RE组， 并通过该 RE组中的一个 RE确定滤波系数， 使用该滤波系数对该 RE组内每个 RE进行滤 波， 确定检测结果。 这样， 对于每个 RE组， 都只需要确定一个滤波系数， 降低了 RE检 测的复杂度。 附图说明
图 1为背景技术中基于 IFFT/FFT的系统实现流程示意图；
图 2为背景技术中 LTE系统资源示意图；
图 3为背景技术中接收机在单个子载波接收数据的流程图；
图 4为本发明实施例提供的 RE检测方法流程图；
图 5为本发明实施例提供的 RE组示意图之一；
图 6为本发明实施例提供的接收机在单个子载波接收数据的流程图；
图 7为本发明实施例提供的 RE组划分方法示意图；
图 8a-图 8c为本发明实施例提供的 RE检测性能仿真对比图；
图 9为本发明实施例提供的 RE组示意图之二；
图 10为本发明实施例提供的 RE检测装置结构示意图。 具体实施方式
本发明实施例提供一种 RE检测方法及装置， 确定邻近的至少两个 RE为一个 RE组， 并通过该 RE组中的一个 RE确定滤波系数， 使用该滤波系数对该 RE组内每个 RE进行滤 波， 确定检测结果。 这样， 对于每个 RE组， 都只需要确定一个滤波系数， 降低了 RE检 测的复杂度。
如图 4所示， 本发明实施例提供的 RE检测方法包括：
步骤 S401、 将至少两个临近的 RE划分为一组， 并在每组内确定一个中心 RE;
步骤 S402、 对于每个 RE组， 确定中心 RE的滤波系数， 并根据该滤波系数对该组内 每个 RE进行滤波， 确定检测结果。
由于每个 RE组中都包括至少两个 RE, 而对于每个 RE组， 都只根据其中的中心 RE 确定一次滤波系数， 该组内的每个 RE都根据该滤波系数进行滤波， 进而减少计算量， 降 低 RE检测的复杂度。
由于相邻的 RE间信道差异并不大， 所以通常一组内的几个 RE的滤波系数相差较小， 因此， 在普通场景下使用本发明实施例提供的 RE检测方法对检测性能基本没有损失， 只 有在比较恶劣的信道环境下， 检测性能有一些损失。
由于相邻的 RE间信道差异较小， 所以在进行 RE分组时， 可以确定组成十字形状的 五个 RE为一个 RE组。 如图 5所示， 这样每组中位于中心的 RE都有四个 RE与之相邻。
此时， 在每组内确定一个中心 RE, 则具体为： 确定组成十字形状的五个 RE中， 与其 它四个 RE均相邻的 RE为中心 RE。
在具体实现时， 如图 6所示， 进行 RE检测的方法具体包括： 步骤 S601、 对接收信号 r进行去 CP , 得到信号 i ; 步骤 S602、 对 1进行时频变换， 得到频域并行传输的数据 r , 每个子载波上的数据表 示为1 λ' ;
其中， Α: Ε (0，1，·· ··， - 1) , / G (0, 1, ...., Z - 1) . 由传输带宽决定， 例如在 20Μ带宽下 ^ = 1200； J是一个子帧对应的 OFDM符号数， 常规 CP配置下是 14。
步骤 S603、对导频进行信道估计， 得到每个端口下的信道估计 HP， 其中 P是端口数； 步骤 S604、 对每个导频信道估计进行插值， 得到整个资源下每个 OFDM符号中每个
τ τΡ
子载波的信道估计 kJ；
步骤 S605、 按照十字花的图案定义一个 RE组， 一个十字花 RE组如图 5所示， 其中 标号为 5的 RE为中心 RE。 由于十字花的图案的特殊性， 在资源块的边缘会出现某些 RE 无法以完整的十字花 RE组出现， 如图 7所示， 以虚线范围内的 2个 PRB为例来说明具体 的 RE组分组方式： 每 5个 RE以十字花的图案分为一组， 标识为 5的是中心 RE, 标识为 1 , 2 , 3 , 4的是中心 RE的相邻 RE, 另外对于 UE占用的 PRB边缘处的资源， 会出现某 些十字花组的中心 RE并不出现在资源块内的情况， 如图 7中以斜线标识的 RE。
步骤 S606、 按照先频域后时域的顺序， 对 UE资源内的十字花资源组进行标识， 对于 w = (H 7 R71, H 7 + 1) 1 7 R71, 第 个十字花资源组，根据公式 q k,1 k k , k 确定中 心 RE的滤波系数 其中， W中心 RE的信道估计值， A是中心 RE在频域的序号， Z是中心 RE所在 OFDM符号的序号；
步骤 S607、 对于第？个十字花资源组内 RE, 进行滤波， 计算检测结果； 确定中心 RE 的检测结果为： k,1 q k,1；
步骤 S608、直接利用中心 RE的滤波系数对该组内其它 RE进行滤波，计算检测结果； s , , = w r , ,
确定该组内其它 RE的检测结果为： k ,1 q k ,l 。
确定检测结果后， 即可进一步对检测结果进行解调并将软比特信息送入译码器进行译 码， 得到最终的解调比特信息。
由于每个十字花 RE组在计算滤波系数的过程中， 都只计算中心 RE的滤波系数， 对 该组内其他 RE进行滤波时， 均使用该滤波系数， 所以计算复杂度得到了有效的降低， 从 而大大减少了整个接收机的计算复杂度。
由于一个十字花 RE资源组中，中心 RE的信道估计和相邻 RE有很强的相关性，因此， 由此筒化带来的误差很小， 一般信道环境下， 性能基本没有损失， 只有在频率选择性和时 间选择都极强的信道环境下， 在较高的调制方式下才会有较明显的差异， 因此这种筒化算 法在实现中应用性极强， 并且由于检测部分的计算量可以下降到原来的 1/4左右， 计算复 杂度有了非常明显的降低， 是一种较理想的实现方案。
图 8a为 EVA5时的链路吞吐量性能对比图，图 8b为 EVA30时的链路吞吐量性能对比 图， 图 8c为 ETU30时的链路吞吐量性能对比图， 具体的仿真参数如表 1所示：
表 1
Figure imgf000008_0001
根据仿真结果可以看出， 在一般的信道环境下 （例如 EVA5 , EPA30 ), 本发明实施例 提供的 RE检测方法和传统方法相比是没有性能损失的， 在非常恶劣的信道环境下（例如： ETU300 ), 性能出现一定损失， 但总体看并不严重， 因此， 可以看出， 本发明是一种性能 较优， 鲁棒性较强的筒化算法。 本发明实施例在技术方案描述以及方案的性能上， 以 LTE系统进行说明， 本发明实施 例提供的技术方案在实际应用中， 可以应用到其它 OFDM多载波系统中。
当然， 本发明实施例提供的 RE检测方法中， 在进行 RE分组时， 可以按照其它方式 进行分组， 例如， 可以确定组成正方形的九个 RE为一个 RE组， 如图 9所示， 确定编号 为 5的 RE为中心 RE,即确定组成正方形的九个 RE中，位于正方形中心的 RE为中心 RE。
本领域技术人员还可以根据本发明实施例提供的分组方式， 扩展出其它的分组方式， 只要将至少两个临近的 RE分为一组， 并按照本发明实施例提供的 RE检测方法进行检测， 即可在性能损失较小的情况下较大的减少计算复杂度。
基于同一发明构思， 本发明实施例中还提供了一种 RE检测装置， 由于该设备解决问 题的原理与本发明实施例 RE检测的方法相似， 因此该设备的实施可以参见方法的实施， 重复之处不再赘述。
本发明实施例提供的 RE检测装置， 如图 10所示， 包括：
确定单元 1001 , 用于将至少两个临近的资源单元 RE划分为一组， 并在每组内确定一 个中心 RE;
检测单元 1002, 用于对于每个 RE组， 确定中心 RE的滤波系数， 并根据该滤波系数 对该组内每个 RE进行滤波， 确定检测结果。
其中， 确定单元 1001将至少两个临近的资源单元 RE划分为一组， 具体包括： 确定组成十字形状的五个 RE为一个 RE组。
此时， 确定单元 1001在每组内确定一个中心 RE, 具体包括：
确定组成十字形状的五个 RE中， 与其它四个 RE均相邻的 RE为中心 RE。
或者， 确定单元 1001将至少两个临近的资源单元 RE划分为一组， 具体包括： 确定组成正方形的九个 RE为一个 RE组。
此时， 确定单元 1001在每组内确定一个中心 RE, 具体包括：
确定组成正方形的九个 RE中， 位于正方形中心的 RE为中心 RE。
本发明实施例提供一种 RE检测方法及装置， 确定邻近的至少两个 RE为一个 RE组， 并通过该 RE组中的一个 RE确定滤波系数， 使用该滤波系数对该 RE组内每个 RE进行滤 波， 确定检测结果。 这样， 对于每个 RE组， 都只需要确定一个滤波系数， 降低了 RE检 测的复杂度。
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， 本发明可釆用完全硬件实施例、 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， 本发明可釆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 可用存储介盾 （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

权 利 要 求
1、 一种 RE检测方法， 其特征在于， 包括：
将至少两个临近的资源单元 RE划分为一组， 并在每组内确定一个中心 RE;
对于每个 RE组， 确定中心 RE的滤波系数， 并根据该滤波系数对该组内每个 RE进行 滤波， 确定检测结果。
2、 如权利要求 1所述的方法， 其特征在于， 所述将至少两个临近的资源单元 RE划分 为一组， 具体包括：
确定组成十字形状的五个 RE为一个 RE组。
3、 如权利要求 2所述的方法， 其特征在于， 所述在每组内确定一个中心 RE, 具体包 括：
确定组成十字形状的五个 RE中， 与其它四个 RE均相邻的 RE为中心 RE。
4、 如权利要求 1所述的方法， 其特征在于， 所述将至少两个临近的资源单元 RE划分 为一组， 具体包括：
确定组成正方形的九个 RE为一个 RE组。
5、 如权利要求 4所述的方法， 其特征在于， 所述在每组内确定一个中心 RE, 具体包 括：
确定组成正方形的九个 RE中， 位于正方形中心的 RE为中心 RE。
6、 一种 RE检测装置， 其特征在于， 包括：
确定单元， 用于将至少两个临近的资源单元 RE划分为一组， 并在每组内确定一个中 心 RE;
检测单元， 用于对于每个 RE组， 确定中心 RE的滤波系数， 并根据该滤波系数对该 组内每个 RE进行滤波， 确定检测结果。
7、 如权利要求 6所述的装置， 其特征在于， 所述确定单元具体用于：
确定组成十字形状的五个 RE为一个 RE组。
8、 如权利要求 7所述的装置， 其特征在于， 所述确定单元具体用于：
确定组成十字形状的五个 RE中， 与其它四个 RE均相邻的 RE为中心 RE。
9、 如权利要求 6所述的装置， 其特征在于， 所述确定单元具体用于：
确定组成正方形的九个 RE为一个 RE组。
10、 如权利要求 9所述的装置， 其特征在于， 所述确定单元具体用于：
确定组成正方形的九个 RE中， 位于正方形中心的 RE为中心 RE。
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