CN102638423A - Interference and noise elimination method and device - Google Patents

Interference and noise elimination method and device Download PDF

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Publication number
CN102638423A
CN102638423A CN2011100370096A CN201110037009A CN102638423A CN 102638423 A CN102638423 A CN 102638423A CN 2011100370096 A CN2011100370096 A CN 2011100370096A CN 201110037009 A CN201110037009 A CN 201110037009A CN 102638423 A CN102638423 A CN 102638423A
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interference
noise
according
pilot sequence
matrix
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CN2011100370096A
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Chinese (zh)
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张磊
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中兴通讯股份有限公司
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks ; Receiver end arrangements for processing baseband signals
    • H04L25/03006Arrangements for removing intersymbol interference
    • H04L25/03012Arrangements for removing intersymbol interference operating in the time domain
    • H04L25/03019Arrangements for removing intersymbol interference operating in the time domain adaptive, i.e. capable of adjustment during data reception
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks ; Receiver end arrangements for processing baseband signals
    • H04L25/03006Arrangements for removing intersymbol interference
    • H04L2025/03433Arrangements for removing intersymbol interference characterised by equaliser structure
    • H04L2025/03535Variable structures
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks ; Receiver end arrangements for processing baseband signals
    • H04L25/03006Arrangements for removing intersymbol interference
    • H04L2025/03592Adaptation methods
    • H04L2025/03598Algorithms
    • H04L2025/03611Iterative algorithms
    • H04L2025/03617Time recursive algorithms

Abstract

The invention discloses an interference and noise elimination method and device. The method comprises the following steps of: extracting a pilot frequency sequence received by a user from a receiving signal, and obtaining an interference and noise spatial characteristic matrix according to the extracted receiving pilot frequency sequence and a local sending pilot frequency sequence; determining an interference and noise relative ratio according to the interference and noise spatial characteristic matrix; and carrying out comparison on the determined interference and noise relative ratio and the predetermined threshold, selecting a corresponding equalization algorithm to carry out equalization according to a comparative result, and eliminating the interference and noise. According to the technical scheme provided by the invention, the problem of deteriorated system performances due to adopting an equalization method in a robust mode because of the unknown magnitude of interference in a communication system is solved, thereby improving the communication characteristics of cell edge users, and farthest improving the throughput of cell centre users.

Description

干扰和噪声消除方法及装置 Interference and noise elimination method and apparatus

技术领域 FIELD

[0001] 本发明涉及通信领域,具体而言,涉及一种干扰和噪声消除方法及装置。 , It relates to a method and apparatus for eliminating interference and noise [0001] The present invention relates to communication field, in particular.

背景技术 Background technique

[0002] 现有的蜂窝移动通信系统提供的数据速率在小区中心和小区边缘有很大的差异,不仅影响了整个系统的容量,而且是用户在不同的位置得到的服务质量有很大的波动。 [0002] data rate of a conventional cellular mobile communication system provides a large difference in the cell center and cell edge, not only affects the overall system capacity, and the user is large variation in the quality of service different positions obtained . 因此,目前正在研发的新一代宽带无线通信系统,都不约而同地将提高小区边缘用户的性能作为主要的需求指标之一。 Therefore, currently developing a new generation of broadband wireless communication systems, they are invariably will improve cell-edge user performance as one of the major demand indicators.

[0003] 小区间的干扰(Inter-cell Interference, ICI)是蜂窝移动通信系统的一个固有问题,传统的解决办法是采用频率复用,复用系数=I即相邻小区都使用相同的频率资源,这时在小区边缘的干扰很严重。 [0003] interference (Inter-cell Interference, ICI) among the cells is a problem inherent to the cellular mobile communication systems, the traditional solution is to use a frequency reuse, i.e. reuse factor = I cells use the same frequency resource adjacent , when the interference at the cell edge is very serious. 较大的复用系数可以有效地抑制ICI,但频谱效率将降低。 Larger reuse factor can effectively suppress ICI, but spectral efficiency will be reduced.

[0004] 现有的干扰消除方案主要是基于多天线接收终端的空间干扰压制技术。 [0004] The conventional interference cancellation scheme is mainly based on multi-antenna receive spatial interference terminal pressing techniques. 它不依赖任何额外的发射端配置,所以不需要做任何额外的标准化工作,但不依赖任何额外的信号区分手段(如频分、码分、交织器分),而仅依靠空分手段,很难取得满意的干扰消除效果,并且在系统中干扰比较小,难以用空间维度区分出来的情况下,会造成系统性能的恶化。 It does not rely on any additional configuration of the transmitting end, there is no need to do any extra work standardization, but does not rely on any additional signal differentiating means (e.g., frequency division, code division, interleaver points), and rely only means of air separation, is difficult to achieve a satisfactory effect of interference cancellation and interference in the system is relatively small, it is difficult to distinguish the case with spatial dimensions, can cause deterioration of system performance.

发明内容 SUMMARY

[0005] 本发明的主要目的在于提供一种干扰和噪声消除方法及装置,以至少解决上述问 [0005] The main object of the present invention is to provide a method and an interference and noise reduction means to at least solve the above-described Q

题之一。 One problem.

[0006] 根据本发明的一个方面,提供了一种干扰和噪声消除方法,包括:从接收信号中提取用户的接收导频序列;根据提取到的接收导频序列及本地的发送导频序列,得出干扰噪声空间特性矩阵;根据上述干扰噪声空间特性矩阵,确定干扰和噪声的相对比值;将确定的干扰和噪声的相对比值与预定门限值进行比较,根据比较结果选择相应的均衡算法进行均衡,消除上述干扰和噪声。 [0006] In accordance with one aspect of the present invention, there is provided a noise and interference cancellation method, comprising: extracting received pilot user pilot sequence from the received signal; according to the extracted received pilot sequence and the pilot sequence is transmitted locally, stars interference noise matrix spatial characteristics; interference noise based on the spatial characteristics of the matrix to determine the relative ratio of interference and noise; relative ratio to a predetermined threshold interference and noise will be determined by comparing the corresponding balancing algorithm selected according to a comparison result balanced, to eliminate such interference and noise.

[0007] 根据本发明的另一方面,提供了一种干扰和噪声消除装置,包括:序列提取模块,用于从接收信号中提取用户的接收导频序列;空间矩阵模块,用于根据提取到的接收导频序列及本地的发送导频序列,得出干扰噪声空间特性矩阵,并根据该干扰噪声空间特性矩阵,确定干扰和噪声的相对比值;判决选择模块,用于将确定的干扰和噪声的相对比值与预定门限值进行比较,根据比较结果选择相应的均衡算法进行均衡,消除上述干扰和噪声。 [0007] According to another aspect of the present invention, there is provided a noise and interference elimination device, comprising: a pattern extracting module, for extracting a received pilot signal of the user from the received pilot sequence; spatial matrix module configured according to the extracted the received pilot sequence and the pilot sequence is transmitted locally, the spatial characteristics of the interference noise matrix is ​​derived, the spatial properties of the noise and the interference matrix to determine the relative ratio of interference and noise; selection decision means for determining the interference and noise of the relative ratio with a predetermined threshold value, select the appropriate equalization algorithm according to the comparison result equalized to eliminate the above-described interference and noise.

[0008] 通过本发明,采用根据干扰和噪声的比例大小,选择不同的干扰噪声消除方法进行均衡的方案,解决了通信系统中未知干扰大小的情况下,鲁棒地采用一种均衡方法进行均衡造成的系统性能恶化问题,进而达到改善了小区边缘用户通信特性,最大限度地提高了小区中心用户的吞吐量的效果。 [0008] By the present invention, a proportion to the size of the interference and noise, interference noise elimination choose different methods of equalizing, solutions of a communication system in a case where the size of the unknown disturbances, robustly using a balanced equalization method deterioration of the system performance, thus achieving improved communication characteristics of the cell edge user, to maximize the effect of the cell center user throughput.

附图说明 BRIEF DESCRIPTION

[0009] 此处所说明的附图用来提供对本发明的进一步理解,构成本申请的一部分,本发明的示意性实施例及其说明用于解释本发明,并不构成对本发明的不当限定。 [0009] The drawings described herein are provided for further understanding of the present invention, constitute a part of this application, exemplary embodiments of the present invention are used to explain the present invention without unduly limiting the present invention. 在附图中: In the drawings:

[0010] 图I是根据本发明实施例的干扰和噪声均衡方法的流程图; [0010] Figure I is a flow chart according to the present invention, the interference and noise equalization method according to an embodiment;

[0011] 图2是根据本发明实施例的导频时域连续序列结构示意图; [0011] FIG. 2 is a schematic view of a continuous sequence of time domain in accordance with the present invention, an embodiment of the pilot frequency;

[0012] 图3是根据本发明实例的干扰和噪声均衡方法的流程图; [0012] FIG. 3 is a flowchart of an example of the present invention, the interference and noise equalization method;

[0013] 图4是根据本发明实施例的干扰和噪声均衡装置的结构框图; [0013] FIG. 4 is a block diagram showing an example of interference and noise equalization apparatus according to an embodiment of the present invention;

[0014] 图5是根据本发明优选实施例的干扰和噪声均衡装置的结构框图。 [0014] FIG. 5 is a block diagram of interference and noise equalization device according to a preferred embodiment of the present invention.

具体实施方式 Detailed ways

[0015] 下文中将参考附图并结合实施例来详细说明本发明。 [0015] Hereinafter with reference to the accompanying drawings and embodiments of the present invention will be described in detail. 需要说明的是,在不冲突的情况下,本申请中的实施例及实施例中的特征可以相互组合。 Incidentally, in the case of no conflict, embodiments and features of the embodiments of the present application can be combined with each other.

[0016] 图I是根据本发明实施例的干扰和噪声均衡方法的流程图。 [0016] I is a flowchart of the interference and noise equalization method of an embodiment of the present invention. 如图I所示,根据本发明实施例的干扰和噪声均衡方法包括: As shown in FIG. I, the interference and noise equalization method according to an embodiment of the present invention comprises:

[0017] 步骤S102,从接收信号中提取用户的接收导频序列; [0017] Step S102, the extracted received pilot user pilot sequence from the received signal;

[0018] 步骤S104,根据提取到的接收导频序列及本地的发送导频序列,得出干扰噪声空间特性矩阵; [0018] step S104, according to the extracted received pilot sequence and the pilot sequence transmission local, derived interference noise matrix spatial characteristics;

[0019] 步骤S106,根据上述干扰噪声空间特性矩阵,确定干扰和噪声的相对比值; [0019] In step S106, based on the spatial characteristics of the interference noise matrix, to determine the relative ratio of interference and noise;

[0020] 步骤S108,将确定的干扰和噪声的相对比值与预定门限值进行比较,根据比较结果选择相应的均衡算法进行均衡,消除干扰和噪声。 [0020] Step S108, the relative ratio with a predetermined threshold to determine the interference and noise limit value, selects the appropriate equalization algorithm according to the comparison result equalization, interference and noise elimination.

[0021] 上述方法,利用了干扰抑制合并技术,会根据干扰和噪声的比例大小,选择不同的干扰噪声消除方案进行均衡,从而可以在改善小区边缘用户通信特性的同时,最大限度地提高小区中心用户的吞吐量。 [0021] The above-described method, using the interference rejection combining technique, based on an amount of interference and noise ratio, selecting a different interference noise cancellation scheme equalized, thereby improving the cell edge user, while the communication characteristics, to maximize the cell center throughput users.

[0022] 在步骤S102中,接收到用户发送的数据信息,可以按照对应的位置从接收信号中提取出导频序列,如图2所示。 [0022] In step S102, the received data message sent by the user, may be extracted according to the position corresponding to the received signal from the pilot sequence, as shown in FIG.

[0023] 优选地,步骤S108中,根据比较结果选择相应的均衡算法进行均衡可以进一步包括以下处理: [0023] Preferably, in the step S108, select the appropriate equalization algorithm according to the comparison result further comprises the following processing can be balanced:

[0024] (I)在干扰和噪声的相对比值大于等于预定门限值时,选择带有干扰抑制作用的均衡算法进行均衡; [0024] (I) at a relatively greater than the interference and noise ratio is equal to a predetermined threshold value when selecting inhibition equalization algorithm with interference equalization;

[0025] (2)在干扰和噪声的相对比值小于预定门限值时,选择消除噪声的均衡算法进行均衡。 [0025] (2) when the relative interference and noise ratio is less than a predetermined threshold value, selecting removing noise equalization algorithm to equalize.

[0026] 干扰和噪声的相对比值反映了通信状态的差异,当干扰和噪声的相对比值大于等于预定门限值时说明此时小区间的干扰较为严重,因此要采用带有干扰抑制作用的均衡算法进行均衡,当在干扰和噪声的相对比值小于预定门限值时说明此时噪声的影响较为严重,因此要采用除噪声的均衡算法进行均衡。 [0026] The interference and noise ratio reflects the relative differences in the communication state, and when the relative interference noise ratio is not less than the predetermined instructions at this time inter-cell interference is more serious when the threshold is, therefore interfering with a balanced inhibition equalization algorithm, this case illustrates the effect of noise more serious when the relative ratio is smaller than the predetermined threshold interference and noise, thus balancing algorithm to be used in addition to the noise equalization. 上述预定门限可以根据仿真统计确定的,也可以是外场测试的结果。 Above a predetermined threshold may be determined according to the simulation statistics may be the results of field tests.

[0027] 优选地,步骤S104可以进一步包括以下处理: [0027] Preferably, step S104 may further include the following processing:

[0028] (I)根据接收导频序列及发送导频序列进行信道估计,得出信道估计值; [0028] (I) performing channel estimation based on the received pilot sequence and the pilot sequence is transmitted, the channel estimation value obtained;

[0029] (2)根据上述信道估计值、上述接收导频序列及上述发送导频序列,求出干扰噪声空间特性矩阵。 [0029] (2) from the channel estimation value, the received pilot sequence and said pilot sequence is transmitted, the spatial characteristics of the interference matrix to obtain noise.

[0030] 为了得出干扰噪声空间特性矩阵,可以首先根据接收导频序列及发送导频序列进行信道估计,再根据信道估计值、接收导频序列及发送导频序列最终求出干扰噪声空间特性矩阵。 [0030] In order to obtain the interference noise spatial characteristic matrix, may first perform channel estimation based on the received pilot sequence and the pilot sequence is transmitted, then according to the channel estimation value, the received pilot sequence and the pilot sequence is transmitted to finally determine the interference noise spatial characteristics matrix.

[0031] 优选地,进行信道估计的方法可以包括:最小二乘法(Least Square,简称为LS)、线性最小均方误差法(Linearity Minimum Mean Square Error,简称为LMMSE)、时域降噪、频域降噪。 [0031] Preferably, the channel estimation method may include: the least squares method (Least Square, referred to as the LS), linear minimum mean square error (Linearity Minimum Mean Square Error, referred to as the LMMSE), temporal noise reduction, frequency temporal noise reduction.

[0032] 可以使用的进行信道估计方法实际上有很多种,包括但不限于上述方法。 [0032] The channel estimation method may be used actually there are many, including but not limited to the above method.

[0033] 优选地,上述带有干扰抑制作用的均衡算法可以包括:最小均方误差(MinimumMean Square Error,简称为MMSE);上述消除噪声的均衡算法包括:迫零(Zero Forcing,简称为ZF)、最大比合并(Maximum Ratio Combing,简称为MRC)、MMSE。 [0033] Preferably, the equalization algorithm with interference inhibition may include: a minimum mean square error (MinimumMean Square Error, simply referred to as the MMSE); equalization algorithm to eliminate the above noise comprises: zero-forcing (Zero Forcing, simply referred to as ZF) , MRC (maximum ratio Combing, referred to as MRC), MMSE.

[0034] 同理,可以用在此处的算法包括但不限于上述算法。 [0034] Similarly, an algorithm can be used herein include, but are not limited to the above-described algorithm.

[0035] 综上所述,上述优选实施例可总结为: [0035] In summary, the above-described preferred embodiment can be summarized as:

[0036] 第一步:接收用户发送的数据信息,从接收信号中按照对应位置提取出导频序列; [0036] The first step: receiving data sent by the user, is extracted from the received signal according to the position corresponding to the pilot sequence;

[0037] 第二步:信道估计,利用接收的导频信号和发送的本地导频进行本小区的信道估计; [0037] Step two: channel estimation using the received pilot signal and the local transmitted pilot channel estimation of the cell;

[0038] 第三步:干扰和噪声的空间矩阵的测量,根据测量的干扰和噪声,求出它们的空间特征矩阵; [0038] The third step: measuring spatial matrix interference and noise, based on the measured interference and noise, obtaining their spatial feature matrix;

[0039] 第四步:根据干扰和噪声空间矩阵的分布特性,计算干扰和噪声的相对比值,并与门限值进行比较; [0039] Step IV: The characteristics of the interference and noise spatial distribution matrix, calculating the relative ratio of interference and noise, and compared with a threshold value;

[0040] 第五步:自适应选择均衡算法进行均衡,消除干扰和噪声。 [0040] Fifth Step: Adaptive equalization algorithm select equalization, interference and noise elimination.

[0041] 下面结合实例及图3对上述优选实施例进行详细说明。 [0041] The following examples and in conjunction with FIG. 3 above-described preferred embodiments described in detail. 如图3所示,根据本发明实例的干扰和噪声均衡方法包括以下步骤: 3, the interference and noise equalization method according to an example of the present invention comprises the steps of:

[0042] 步骤302,以LTE为例,对应的时频资源位置如图2所示,按照对应的时频资源位置提取接收的导频信息,用于下一步的信道估计。 [0042] Step 302 to LTE as an example, the time-frequency resource corresponding to the position shown in Figure 2, the position of the extracted frequency resource information in the received pilot during corresponding channel estimation for the next step.

[0043] 步骤304,根据提取的接收导频信号和本地发送导频序列进行信道估计,信道估计方法不做限定,可以是LS、LMMSE、时域降噪,频域降噪等信道估计方法,下面以时域降噪方法为例: [0043] Step 304 The received pilot extracted pilot signal and the local transmitting pilot sequences for channel estimation, channel estimation method is not limited, and may be LS, LMMSE, temporal noise reduction, frequency-domain noise reduction channel estimation method, below temporal noise reduction method, for example:

[0044] 首先用LS算法得到未降噪的信道估计,公式如下: [0044] First unreduced obtained by LS channel estimation algorithm, the following formula:

[0045] Hp = X-1 (k) • Y (k) [0045] Hp = X-1 (k) • Y (k)

[0046] 然后进行快速傅立叶反变换(Inverse Fast Fourier Transform,简称为IFFT),变化到时域去做降噪处理hp = IFFT(Hp),再计算窗长,经过加窗去噪,得到降噪后的本小区信道估计&。 [0046] and then Inverse Fast Fourier Transform (Inverse Fast Fourier Transform, abbreviated as the IFFT), the noise reduction processing changes do hp = IFFT (Hp) to the time domain and then calculate the length of the window, through the windowed denoised, to reduce noise after this cell channel estimation &. 窗长的计算公式如下: Window length is calculated as follows:

[0047] [0047]

L = N * ,cp L = N *, cp

j^C iy user 八厂 j ^ C iy user eight plants

_ 7V#_ _ 7V # _

[0048] Lfore = mLc, Lpost = nLc [0048] Lfore = mLc, Lpost = nLc

[0049] Lfore是前窗长度,Llrost是后窗的长度,Nusct是目标用户占用子载波数,Nfft是fft点数,Icp是OFDM系统中循环前缀的长度,m和n是计算前窗和后窗长度的比例系数。 [0049] Lfore is a front window length, Llrost is the length of the rear window, Nusct is the number of subcarriers occupied by the target user, Nfft is fft points, Icp is the cyclic prefix OFDM system length, m and n are the front and back windows calculated ratio of the length of the coefficients. 最后再做快速傅立叶变换(Fast Fourier Transform,简称为FFT)变换,得到频域信道冲击响应Hp=FFTihp), Finally do a fast Fourier transform (Fast Fourier Transform, abbreviated to FFT) conversion, to obtain a frequency domain channel impulse response Hp = FFTihp),

[0050] 步骤306,根据步骤304得到的信道估计值、发送和接收导频序列,计算干扰噪声空间特性矩阵,方法不做限制,以下面的方法为例: [0050] Step 306, based on the channel estimation value obtained in step 304, transmission and reception of pilot sequences, the spatial interference noise characteristic matrix is ​​calculated, the method is not limited, and an example in the following way:

[0051] 首先计算干扰和噪声序列: [0051] First of calculating interference and noise sequence:

[0052] NI = Y-Hp*X [0052] NI = Y-Hp * X

[0053] 其中,Y为接收到的导频序列,其中包括目标用户发送的信息,干扰信息以及噪声三项。 [0053] wherein, Y is the received pilot sequence guide, which includes information sent by the target user, interference, and noise information three. 为导频处的信道估计值,X为目标用户发送的导频序列。 Channel estimation value of the pilot at, X is the target users transmit pilot sequences. NI为干扰噪声序列,则 NI interference noise sequence,

干扰噪声空间特性矩阵Rn为: Rn interference noise matrix spatial characteristics are:

[0054] Rn = NI*NIh/N [0054] Rn = NI * NIh / N

[0055] 其中,N为计算的子载波个数。 [0055] where, N is the number of subcarriers calculated.

[0056] 步骤308,根据步骤306得到的干扰噪声空间矩阵的分布特性,求出干扰和噪声的相对比值,噪声和干扰的分布在该空间矩阵中具有一定的规律性,根据这种规律性,可以计算出干扰和噪声的相对比值。 [0056] Step 308, the step 306 according to the distribution characteristic of the interference matrix obtained spatial noise, interference and noise ratio is obtained relative to the noise and interference with a certain regularity in the distribution of the space matrix, in accordance with this regularity, It can be calculated relative ratio of interference and noise.

[0057] 步骤310,将步骤308计算出来的干扰和噪声的相对比值与预定门限进行比较,大于等于门限则采用带有干扰抑制作用的均衡算法,小于门限就采用消除噪声的均衡算法,这里的门限可以是仿真统计确定的,也可以是外场测试的结果。 [0057] Step 310, the relative ratio of the step 308 the calculated interference and noise with a predetermined threshold are compared, greater than or equal threshold is used balancing algorithm with interference inhibition, less than a threshold on the use of balancing algorithm to eliminate noise, where threshold may be determined by statistical simulation can also be the result of field tests.

[0058] 步骤312,根据304得到的信道估计值,304得到的干扰和噪声的空间特性矩阵和接收数据进行均衡消除干扰和噪声,其中带有干扰抑制作用的均衡公式如下,以丽SE为例,但不限于丽SE算法: [0058] Step 312, 304 according to the channel estimation value obtained, the spatial characteristics of the matrix and the received data 304 obtained by equalizing the interference and noise eliminating interference and noise, wherein the interference with the balanced inhibition following formula to Example Korea SE , but not limited to Li SE algorithm:

[0059] X = (Hh ■ Rn1 • H + /) 1 Hh • Rn1 • Y [0059] X = (Hh ■ Rn1 • H + /) 1 Hh • Rn1 • Y

[0060] 消除噪声的均衡算法可以以ZF、MRC、丽SE等为准则,下面以丽SE为例,公式如下: [0060] The noise elimination algorithm may be balanced ZF, MRC, Korea SE as the criterion, Korea SE below to an example, the following formula:

[0061] X = (Hh-H+ (T2I)-1Hh-Y [0061] X = (Hh-H + (T2I) -1Hh-Y

[0062] 图4是根据本发明实施例的干扰和噪声均衡装置的结构框图。 [0062] FIG. 4 is a block diagram of interference and noise equalization device according to the embodiment of the present invention. 如图4所示,根据本发明实施例的干扰和噪声均衡装置包括: 4, the interference and noise equalization device in accordance with an embodiment of the present invention comprises:

[0063] 序列提取模块42,从接收信号中提取用户的接收导频序列; [0063] The pattern extracting module 42, extracts the user from the reception signal received pilot sequence;

[0064] 空间矩阵模块44,用于根据提取到的接收导频序列及本地的发送导频序列,得出干扰噪声空间特性矩阵,并根据该干扰噪声空间特性矩阵,确定干扰和噪声的相对比值; [0064] The spatial matrix module 44, a pilot sequence according to the extracted received pilot sequence of pilot and local transmission, the spatial characteristics of the interference noise matrix is ​​obtained, and based on the spatial characteristics of the interference noise matrix, to determine the relative interference and noise ratio ;

[0065] 判决选择模块46,用于将确定的干扰和噪声的相对比值与预定门限值进行比较,根据比较结果选择相应的均衡算法进行均衡,消除干扰和噪声。 [0065] The selection decision module 46, a relative ratio to a predetermined threshold interference and noise will be determined by comparing the corresponding balancing algorithm selected according to the comparison result equalization, interference and noise elimination.

[0066] 上述装置,利用了干扰抑制合并技术,会根据干扰和噪声的比例大小,选择不同的干扰噪声消除方案进行均衡(即自适应的进行均衡),从而可以在改善小区边缘用户通信特性的同时,最大限度地提高小区中心用户的吞吐量。 [0066] The apparatus using the interference rejection combining technique, based on an amount of interference and noise ratio, selecting a different noise canceling interference equalization scheme (i.e., the adaptive equalization is performed), thereby improving the communication characteristics of the cell edge user At the same time, maximizing the throughput of the cell center user.

[0067] 优选地,判决选择模块46可以进一步包括: [0067] Preferably, the decision module 46 may select further comprises:

[0068] 判决单元462,用于将确定的干扰和噪声的相对比值与预定门限值进行比较; [0069] 干扰抑制单元464,用于在干扰和噪声的相对比值大于等于预定门限值时,选择带有干扰抑制作用的均衡算法进行均衡; [0068] The decision unit 462, a relative ratio to a predetermined threshold interference and noise comparing the determined; [0069] interference suppressing unit 464, relative to the interference and noise ratio greater than a predetermined threshold value is equal to selecting inhibition interference with equalization algorithm equalizing;

[0070] 噪声消除单元466,用于在干扰和噪声的相对比值小于预定门限值时,选择消除噪声的均衡算法进行均衡。 [0070] The noise removing unit 466, configured to, when the relative interference and noise ratio is less than a predetermined threshold value, selected algorithm eliminating noise equalization equalization.

[0071] 通过上述模块即可建立起自适应的机制,根据不同的网络状态有选择的进行均衡 [0071] The adaptive mechanisms can be established by the above module, equalization depending on network status selective

处理 deal with

[0072] 优选地,空间矩阵模块44可以进一步包括: [0072] Preferably, the spatial matrix module 44 may further comprise:

[0073] 信道估计单元442,用于根据接收导频序列及发送导频序列进行信道估计,得出信道估计值; [0073] The channel estimation unit 442, for performing channel estimation based on the received pilot sequence and the pilot sequence is transmitted, the channel estimation value obtained;

[0074] 矩阵计算单元444,用于根据信道估计值、接收导频序列及发送导频序列,求出干扰噪声空间特性矩阵; [0074] The matrix calculation unit 444, a channel matrix from the estimation value, the received pilot sequence and the pilot sequence is transmitted, the spatial characteristics of the interference noise is obtained;

[0075] 比值确定单元446,用于根据干扰噪声空间特性矩阵,确定干扰和噪声的相对比值。 [0075] The ratio determination unit 446, the noise matrices for spatial interference characteristics, to determine the relative ratio of interference and noise.

[0076] 干扰噪声空间特性矩阵的得出可以分为两个步骤,在信道估计单元442得出信道估计值之后,矩阵计算单元444即可在此基础上求出干扰噪声空间特性矩阵。 [0076] interference noise matrix spatial characteristics can be obtained in two steps, in the channel estimation unit 442 after the obtained channel estimation value matrix computation unit 444 can obtain the noise matrix spatial characteristics of the interference on this basis. 在得出干扰噪声空间特性矩阵之后,比值确定单元446即可根据干扰噪声空间特性矩阵的分布特性确定出干扰和噪声的相对比值。 Having reached interference noise matrix spatial characteristics, the ratio determination unit 446 can determine the relative ratios based on the distribution of interference and noise characteristics of interference noise matrix spatial characteristics.

[0077] 综上所述,上述优选装置的工作过程可以概括为:首先序列提取模块42按照对应的时频资源提取用户的接收导频序列,然后信道估计单元442根据接收到的导频序列和已知发送的导频序列进行信道估计,矩阵计算单元444计算干扰噪声的空间特性矩阵,比值确定单元446根据这个矩阵的分布特性,计算出干扰和噪声的相对比值,然后通过判决单元462将干扰和噪声的相对比值与门限进行比较,最后,干扰抑制单元464和噪声消除单元466再根据判决单元462得到的比较结果,选择合适的均衡算法进行均衡,消除干扰和噪声。 [0077] In summary, the preferred operation of the above apparatus may be summarized as follows: First, the received pilot sequence of pilot extraction module 42 extracts the user's resources in accordance with the time corresponding to the pilot sequence and then pilot channel estimation unit 442 according to the sequence of received pilot and known pilot sequence transmitted for channel estimation matrix calculation unit 444 calculates the interference noise spatial characteristic matrix, the ratio determination unit 446 according to the distribution characteristic of this matrix, the calculated relative ratio of interference and noise, then the decision unit 462 will interfere with the relative ratio of the aND gate noise threshold is compared, and finally, the interference suppression unit 464, and then the noise canceling unit 466 according to a comparison result obtained by the judgment unit 462, select the appropriate equalization algorithm performs equalization, interference and noise elimination.

[0078] 优选地,信道估计单元442进行信道估计的方法可以包括:最小二乘法LS、线性最小均方误差法LMMSE、时域降噪、频域降噪。 Method [0078] Preferably, the channel estimation unit 442 performs channel estimation may include: the LS method of least squares, linear minimum mean square error of the LMMSE method, temporal noise reduction, frequency-domain noise.

[0079] 信道估计单元442可以使用的进行信道估计方法实际上有很多种,包括但不限于上述方法。 Channel estimation method [0079] The channel estimation unit 442 may use actually there are many, including but not limited to the above method.

[0080] 优选地,上述带有干扰抑制作用的均衡算法可以包括:最小均方误差(MinimumMean Square Error,简称为MMSE);上述消除噪声的均衡算法包括:迫零(Zero Forcing,简称为ZF)、最大比合并(Maximum Ratio Combing,简称为MRC)、MMSE。 [0080] Preferably, the equalization algorithm with interference inhibition may include: a minimum mean square error (MinimumMean Square Error, simply referred to as the MMSE); equalization algorithm to eliminate the above noise comprises: zero-forcing (Zero Forcing, simply referred to as ZF) , MRC (maximum ratio Combing, referred to as MRC), MMSE.

[0081] 同理,可以用在此处的算法包括但不限于上述算法。 [0081] Similarly, an algorithm can be used herein include, but are not limited to the above-described algorithm.

[0082] 从以上的描述中,可以看出,本发明在干扰抑制合并技术的基础上,设计了一种自适应的干扰噪声均衡方案,不仅可以改善小区边缘用户通信特性,还可以最大限度地提高小区中心用户的吞吐量。 [0082] From the above description, it can be seen that the present invention is based on the interference rejection combining technology, design of an adaptive disturbance noise equalization scheme can not only improve cell edge user communication characteristics can also maximize improve the throughput of the cell center user.

[0083] 显然,本领域的技术人员应该明白,上述的本发明的各模块或各步骤可以用通用的计算装置来实现,它们可以集中在单个的计算装置上,或者分布在多个计算装置所组成的网络上,可选地,它们可以用计算装置可执行的程序代码来实现,从而,可以将它们存储在存储装置中由计算装置来执行,并且在某些情况下,可以以不同于此处的顺序执行所示出或描述的步骤,或者将它们分别制作成各个集成电路模块,或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。 [0083] Obviously, those skilled in the art should understand that the modules or steps of the present invention described above can be used general-purpose computing device, they can be integrated in a single computing device or distributed across multiple computing devices available on the Internet, optionally, they can be implemented with program codes executable by a computing device, so that, to be performed by a computing device stored in a storage means, and in some cases, may be different from this at step sequence shown or described, or they are made into integrated circuit modules, or by making them of a plurality of modules or steps in a single integrated circuit module. 这样,本发明不限制于任何特定的硬件和软件结合。 Thus, the present invention is not limited to any particular hardware and software combination.

[0084] 以上所述仅为本发明的优选实施例而已,并不用于限制本发明,对于本领域的技术人员来说,本发明可以有各种更改和变化。 [0084] The above description is only preferred embodiments of the present invention, it is not intended to limit the invention to those skilled in the art, the present invention may have various changes and variations. 凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。 Any modification within the spirit and principle of the present invention, made, equivalent substitutions, improvements, etc., should be included within the scope of the present invention.

Claims (10)

1. 一种干扰和噪声消除方法,其特征在于,包括: 从接收信号中提取用户的接收导频序列; 根据提取到的所述接收导频序列及本地的发送导频序列,得出干扰噪声空间特性矩阵; 根据所述干扰噪声空间特性矩阵,确定干扰和噪声的相对比值; 将确定的所述干扰和噪声的相对比值与预定门限值进行比较,根据比较结果选择相应的均衡算法进行均衡,消除所述干扰和噪声。 A method for eliminating interference and noise, characterized by comprising: extracting received pilot user pilot sequence from the received signal; according to the extracted pilot sequence and the received local pilot sequence is transmitted, the interference noise derived spatial characteristic matrix; the spatial characteristics of the interference noise matrix, determining the relative ratio of interference and noise; relative ratio of the interference and noise of the determination is compared with a predetermined threshold value, select the appropriate equalization algorithm performs equalization based on the comparison canceling the interference and noise.
2.根据权利要求I所述的方法,其特征在于,所述根据比较结果选择相应的均衡算法进行均衡包括: 在所述干扰和噪声的相对比值大于等于所述预定门限值时,选择带有干扰抑制作用的均衡算法进行均衡; 在所述干扰和噪声的相对比值小于所述预定门限值时,选择消除噪声的均衡算法进行均衡。 2. The method of claim I, wherein said selected corresponding balancing equalization algorithm according to the comparison result comprises: the relative ratio of the interference and noise of greater than or equal to the predetermined threshold value, selected with inhibition of interference equalization algorithm equalizer; when the relative interference and noise ratio is smaller than the predetermined threshold value, selecting removing noise equalization algorithm to equalize.
3.根据权利要求2所述的方法,其特征在于,所述根据提取到的所述接收导频序列及本地的发送导频序列,得出干扰噪声空间特性矩阵包括: 根据所述接收导频序列及所述发送导频序列进行信道估计,得出信道估计值; 根据所述信道估计值、所述接收导频序列及所述发送导频序列,求出所述干扰噪声空间特性矩阵。 3. The method according to claim 2, wherein said sequence of received pilot and local pilot sequence is transmitted according to said extracted, obtained interference noise matrix spatial characteristics comprising: based on said received pilot the sequence and the pilot sequence transmitted for channel estimation, channel estimation values ​​obtained; according to the channel estimation value, the received pilot sequence and the pilot sequence is transmitted, the determined interference noise matrix spatial characteristics.
4.根据权利要求3所述的方法,其特征在于,进行信道估计的方法包括:最小二乘法LS、线性最小均方误差法LMMSE、时域降噪、频域降噪。 4. The method according to claim 3, characterized in that the channel estimation method comprising: the LS method of least squares, linear minimum mean square error of the LMMSE method, temporal noise reduction, frequency-domain noise.
5.根据权利要求2至4任一项所述的方法,其特征在于, 所述带有干扰抑制作用的均衡算法包括:最小均方误差MMSE ; 所述消除噪声的均衡算法包括:迫零ZF、最大比合并MRC、最小均方误差丽SE。 The method according to any one of claims 2 to 4, wherein said inhibiting interference with equalization algorithm comprising: a minimum mean square error of the MMSE; equalization algorithm to eliminate the noise comprises: a zero-forcing ZF , maximal ratio combining the MRC, MMSE Korea SE.
6. 一种干扰和噪声消除装置,其特征在于,包括: 序列提取模块,用于从接收信号中提取用户的接收导频序列; 空间矩阵模块,用于根据提取到的所述接收导频序列及本地的发送导频序列,得出干扰噪声空间特性矩阵,并根据所述干扰噪声空间特性矩阵,确定干扰和噪声的相对比值;判决选择模块,用于将确定的所述干扰和噪声的相对比值与预定门限值进行比较,根据比较结果选择相应的均衡算法进行均衡,消除所述干扰和噪声。 6. An interference and noise canceling means, wherein, comprising: a pattern extracting means for extracting the user signal received from the received pilot sequence; spatial matrix means for receiving a pilot sequence according to the extracted and local pilot sequence is transmitted, the spatial characteristics of the interference noise matrix is ​​derived, the spatial properties of the noise and the interference matrix to determine the relative ratio of interference and noise; selection decision module configured to determine the relative interference and noise ratio with a predetermined threshold value, selects the appropriate equalization algorithm performs equalization based on the comparison result, to eliminate the interference and noise.
7.根据权利要求6所述的装置,其特征在于,所述判决选择模块包括: 判决单元,用于将确定的所述干扰和噪声的相对比值与预定门限值进行比较; 干扰抑制单元,用于在所述干扰和噪声的相对比值大于等于所述预定门限值时,选择带有干扰抑制作用的均衡算法进行均衡; 噪声消除单元,用于在所述干扰和噪声的相对比值小于所述预定门限值时,选择消除噪声的均衡算法进行均衡。 7. The device according to claim 6, wherein said decision selecting module comprises: a decision unit for relative ratio to a predetermined threshold of said interference and noise comparing the determined; interference suppressing unit, interference and noise for the relative ratio of greater than or equal to the predetermined threshold value, selecting the interference with equalization algorithm equalizing inhibition; noise canceling means for the relative ratio of the interference and noise is less than the when said predetermined threshold value, selecting removing noise equalization algorithm to equalize.
8.根据权利要求7所述的装置,其特征在于,所述空间矩阵模块包括: 信道估计单元,用于根据所述接收导频序列及所述发送导频序列进行信道估计,得出信道估计值; 矩阵计算单元,用于根据所述信道估计值、所述接收导频序列及所述发送导频序列,求出所述干扰噪声空间特性矩阵; 比值确定单元,用于根据所述干扰噪声空间特性矩阵,确定干扰和噪声的相对比值。 8. The apparatus according to claim 7, wherein said spatial matrix module comprising: a channel estimation unit for receiving the transmitted pilot sequence and the pilot sequence to perform channel estimation, channel estimates derived value; matrix calculation unit, based on said channel estimation value, the received pilot sequence and the pilot sequence is transmitted, the determined interference noise matrix spatial characteristics; ratio determining means, for according to the interference noise spatial characteristic matrix, to determine the relative ratio of interference and noise.
9.根据权利要求8所述的装置,其特征在于,所述信道估计单元进行信道估计的方法包括:最小二乘法LS、线性最小均方误差法LMMSE、时域降噪、频域降噪。 9. The apparatus according to claim 8, wherein the channel estimation unit performs channel estimation comprising: the LS method of least squares, linear minimum mean square error of the LMMSE method, temporal noise reduction, frequency-domain noise.
10.根据权利要求7至9任一项所述的装置,其特征在于, 所述带有干扰抑制作用的均衡算法包括:最小均方误差MMSE ; 所述消除噪声的均衡算法包括:迫零ZF、最大比合并MRC、最小均方误差丽SE。 10. Device according to any one of claims 7-9, wherein said inhibiting interference with equalization algorithm comprising: a minimum mean square error of the MMSE; equalization algorithm to eliminate the noise comprises: a zero-forcing ZF , maximal ratio combining the MRC, MMSE Korea SE.
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CN105099610A (en) * 2014-05-16 2015-11-25 华为技术有限公司 Signal processing method and apparatus
CN105099610B (en) * 2014-05-16 2018-09-28 华为技术有限公司 The signal processing method and apparatus
CN105530210A (en) * 2014-10-17 2016-04-27 英特尔公司 Communication device and method for processing a received signal
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CN105577593B (en) * 2016-01-18 2018-12-25 华南师范大学 A kind of sub-symbol light phase noise suppressing method based on non-decision-aided
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