WO2008058439A1 - Procédé et système de conversion de taux d'échantillon de données en transmission de signal dans la bande de base - Google Patents

Procédé et système de conversion de taux d'échantillon de données en transmission de signal dans la bande de base Download PDF

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Publication number
WO2008058439A1
WO2008058439A1 PCT/CN2007/000656 CN2007000656W WO2008058439A1 WO 2008058439 A1 WO2008058439 A1 WO 2008058439A1 CN 2007000656 W CN2007000656 W CN 2007000656W WO 2008058439 A1 WO2008058439 A1 WO 2008058439A1
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Prior art keywords
data
sampling rate
conversion module
fir filter
baseband
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PCT/CN2007/000656
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English (en)
French (fr)
Inventor
Ling Li
Jiewei Ding
Yibin Zhai
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Zte Corporation
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Publication of WO2008058439A1 publication Critical patent/WO2008058439A1/zh

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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
    • H04L25/0262Arrangements for detecting the data rate of an incoming signal
    • 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
    • H04L25/05Electric or magnetic storage of signals before transmitting or retransmitting for changing the transmission rate

Definitions

  • the present invention relates to a digital communication system, and more particularly to a method and system for transforming a data sampling rate in baseband signal transmission in a digital communication system.
  • the number of RF Rmote Units (RRUs) that the base station (NodeB) can support is limited due to the limitation of the optical fiber transmission capability.
  • RRUs RF Rmote Units
  • the RF Remote Unit is applied to the current RF remote technology to implement RF transceiver, optical fiber transmission and NodeB baseband interface.
  • FIG. 1 is a schematic diagram of a connection between a NodeB and a radio remote unit R U in the prior art.
  • Radio Remote Unit The RRU is mainly used for transmitting and receiving at the RF end, through optical fiber transmission and NodeB baseband interface.
  • the figure shows that multiple RRU units are cascaded through the fiber transmission and baseband interfaces, and the number of antennas connected to the RRU unit can be single antenna, dual antenna or multiple antennas.
  • a method of reducing quantization bits and transforming the sampling rate can be adopted during I and Q data transmission. If the RBI single cell bit width is processed and the sampling rate is not changed, the uplink and downlink baseband bit widths are reduced to ⁇ bits and 15 bits, respectively, and 4 RRUs (1.2288G) or 8 RRUs (2.4576) can be supported. G). The difference between the baseband receiving performance before and after the truncation processing is evaluated by simulation. It is found that reducing the quantization bit has little impact on the performance, which is completely acceptable for the system, but if the quantization bit is lowered again, the impact on the receiving performance will be compared. Big.
  • the data sampling rate during the baseband signal transmission process to increase the RRU unit.
  • the purpose of the number If the method of transforming the sampling rate is adopted, the data rate needs to be downsampled.
  • the current baseband data sampling rate is 3.84*2M/s, and the actual carrier frequency interval is 5MHz.
  • the technical problem to be solved by the present invention is to provide a data transmission method for transforming data sampling rate, so that NodeB can support more radio frequency remote units (RRUs) within a limited transmission capability, and solve the defect of insufficient capacity in the current system.
  • RRUs radio frequency remote units
  • the invention provides a method for data sampling rate conversion in baseband signal transmission, which comprises the following steps:
  • the data sampling rate after downsampling in the step (a) is greater than 2.34 M/s.
  • step (a) the data downsampling process is implemented by the FIR filter interpolation method.
  • the FIR sampling interpolation method is used to implement the recovery processing of the data sampling rate.
  • the FIR filter interpolation method includes the following steps:
  • a baseband signal transmission system comprising a radio frequency remote unit RRU, a data transmission channel and a base station NodeB, wherein: the radio remote unit RU further includes an A/D conversion module, a data sampling rate conversion module, and the NodeB
  • the data sampling rate recovery module is further included, wherein: the A/D conversion module is configured to perform A/D conversion on the antenna data received by the RRU; and the data sampling rate conversion module is configured to output the A/D conversion module. Data is downsampled;
  • the data sampling rate recovery module is configured to perform sampling rate recovery processing on the data transmitted in the data transmission channel, and restore the data sampling rate to the sampling rate required by the baseband chip.
  • the radio frequency remote unit receives the antenna data, and is converted by the A/D conversion module, and then the data sampling rate conversion module performs down-sampling processing on the converted data, and the processed data is transmitted to the NodeB by the data transmission channel.
  • the data sampling rate recovery module then restores the data sampling rate to the sampling rate required by the baseband chip.
  • the data sampling rate conversion module implements data downsampling processing by using a FIR filter interpolation method.
  • the data sampling rate recovery module implements a data sampling rate recovery process by using a FIR filter interpolation method.
  • the baseband signal sampling rate conversion method of the present invention has a special processing method for reducing the sampling rate and performing sampling rate recovery after transmission, compared with the prior art, and has verified the invention by simulation.
  • the method has almost no impact on the reception performance, and the number of RRU connections can be increased without affecting performance.
  • the reduced sampling rate used in the simulation is 2.4*2M/s, and the connection capability between RRU and NodeB is increased by about 50%.
  • FIG. 1 is a schematic diagram of connection of a NodeB and an RRU unit in the prior art
  • FIG. 2 is a block diagram showing the structure of a baseband signal transmission system of the present invention.
  • 3 is a general flow chart of a data sampling rate conversion scheme of the present invention
  • 4 is a flow chart showing a specific implementation of the reduction and sampling rate recovery in the baseband signal transmission of the present invention
  • Figure 5 is a schematic diagram of signals before and after the sample rate conversion process of the present invention.
  • Figure 5 (a) is a schematic diagram of a signal that has not undergone sampling rate conversion
  • Figure 5 (b) is a schematic diagram of signals processed by downsampling and sampling rate recovery
  • Figure 5 (c) is a comparison of the unprocessed signal in Figure 5 (a) with the processed signal in Figure 5 (b).
  • the data sampling rate conversion method in the baseband transmission according to the present invention is to reduce I and Q data (according to the modulation mode QPSK modulation used, two channels of modulation signals need to be input, one channel is called I channel data, and one channel is called Q channel data.
  • the basic scheme of the technology is:
  • the FIR filter coefficients and the FIR filter length are determined.
  • the FIR filter coefficients here will be applied to the following two FIR filters: (1) FIR filter coefficients required for data downsampling in the RRU unit; (2) FIR filter interpolation for filtering required for sample rate recovery coefficient.
  • each processing is mainly divided into the following steps:
  • fs can take the values of 2.4*2, 2.64*2 or 2.88*2M, and then execute the next step. There are two ways to implement the downsampling. :
  • the selected sampling rate can be:
  • Step 2 Data transfer to NodeB
  • the third step sampling rate recovery, data transmission through the data transmission channel at fs, sampling rate, using FIR filter interpolation in NodeB to restore the sampling rate to 3.84*2M/s;
  • Step 4 Transfer the data to the baseband chip at the original sampling rate of 3.84*2M/s to complete the subsequent processing.
  • the system includes a radio remote unit R U, a data transmission channel and a base station NodeB.
  • the radio remote unit includes an A/D conversion module and a data sampling rate conversion module, and the NodeB includes a data sampling rate recovery module, where:
  • the A/D conversion module is configured to perform A/D conversion on the antenna data received by the RRU;
  • the data sampling rate conversion module is configured to perform downsampling processing on the data output by the A/D conversion module;
  • the data sampling rate recovery module is configured to perform sampling rate recovery processing on data transmitted in the data transmission channel, and restore the data sampling rate to a sampling rate required by the baseband chip.
  • Radio frequency remote unit The antenna data received by the RRU is A/D converted, then the data sampling rate is changed, and the sampling rate is reduced for data transmission. There are two methods for downsampling:
  • the second method is adopted. Since the current antenna data sampling rate is 3.84*2 M/s, the antenna data received by the RRU unit is reduced from the sampling rate of 3.84*2 M/s by the FIR filter interpolation to the fs by Method 2. , transmits data to the NodeB through the data transmission channel.
  • the uplink baseband I and Q data sampling rate is fixed at 3.84*2 M/s, so the data of the sample rate fs is restored by the FIR filter interpolation in the NodeB to the data of the double sampling rate of 3.84M. .
  • Figure 3 shows the general flow chart of the data sampling rate conversion scheme.
  • the scheme mainly includes two processes: the downsampling process and the data sampling rate recovery process.
  • FIG. 4 shows the downsampling process in the baseband signal transmission and the flow chart of the sample rate recovery process.
  • the data sampling rate conversion processing method specifically executed by the flowchart can be divided into the following steps:
  • RF remote unit RRU receives antenna I, Q data, performs A/D conversion
  • the downsampling is implemented in the RRU unit.
  • the second method is used in the present invention to maintain the current sampling rate of 3.84*2 M/s.
  • the FIR filtering interpolation method is used for downsampling before the data is transmitted. The steps are as follows:
  • Step 1 Interpolate the sampling rate of 3.84*2M/s to 3.84*2*L(M/s) by L1 times.
  • Step 3 Integrate the data stream after the interpolation sampling and the FIR filter coefficients of the Nth order respectively (the FIR filter coefficient and the FIR filter length N are parameters determined at the time of system design), generate a new sequence, and adopt low sampling.
  • the radio remote unit RRU transmits the data to the baseband for further processing.
  • L1 is the interpolation multiple
  • Ml is the extraction multiple
  • N is the filter length
  • fs' is the low sampling rate after the data sampling rate is transformed.
  • the sampling rate requirement is 3.84*2M/s. Therefore, for the downsampled antenna data output by the RRU unit, the sampling rate recovery processing is required to restore the sampling rate from fs to 3.84*2M/s. This needs to be implemented by FIR filter interpolation.
  • the process is as follows: Step 1: Insert fs, low sampling rate through L2 times to fs, *L2 (M/s);
  • Step 3 Integrate the data stream after the interpolation and the FIR filter coefficients of the Nth order (where the FIR filter coefficient and the FIR filter length N are parameters determined at the time of system design) to generate a new sequence.
  • the data is transmitted to the baseband chip at the original sampling rate of 3.84*2M/s, and the subsequent processing is completed.
  • L2 is the interpolation multiple
  • M2 is the extraction multiple
  • N is the filter length
  • fs is the original antenna data sampling rate
  • the output signal is x(n)
  • the output signal is y(n)
  • h(n) is the FIR filter response (ie FIR filter coefficient impulse response)
  • the input data x(n) is converted according to each of the output data signals.
  • FIG. 5 is a schematic diagram of signals before and after the sampling rate conversion processing method, wherein: a) shows a signal diagram that has not undergone the data sampling rate conversion process of the present invention; b) shows a sampled downsampled sample used here after data sample rate conversion.
  • the rate is 2.4*2M/s, the first is the FIR filter interpolation downsampling process, then the signal schematic of the FIR filter interpolation sample rate recovery process; c)
  • the signals in the above two figures are placed in one figure for comparison.
  • the baseband signal sampling rate conversion method of the present invention compares the antenna data transmission with a special processing method for reducing the sampling rate and performing sampling rate recovery after transmission, and has verified the invention by simulation.
  • the method has almost no impact on the reception performance, and the number of RRU connections can be increased without affecting performance.
  • the reduced sampling rate used in the simulation is 2.4*2M/s, and the connection capability between RRU and NodeB is increased by about 50%.

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  • Computer Networks & Wireless Communication (AREA)
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  • Digital Transmission Methods That Use Modulated Carrier Waves (AREA)

Description

一种基带信号传输中数据采样率变换的方法及其系统 扶术领域
本发明涉及数字通信系统,特别涉及一种数字通信系统中基带信号传输 中数据采样率的变换方法及其系统。
背景技术
目前无线通信系统中, 由于受到光纤传输能力的限制, 基站(NodeB ) 可支持的射频远端单元(RF Rmote Unit, RRU )数目是有限的。 为了使得 通信产品更具竟争力(为运营商节约成本), 需要在有限的传输能力内连接 更多的 RRU。
射频远端单元(RF Rmote Unit, RRU )应用于目前射频拉远技术中, 实现射频端的收发, 通过光纤传输和 NodeB基带接口。
图 1所示是现有技术中 NodeB和射频远端单元 R U连接示意图。射频 远端单元 RRU主要是实现射频端的收发,通过光纤传输和 NodeB基带接口。 图中所示是多个 RRU单元级联通过光纤传输和基带接口,连接 RRU单元的 天线数可为单天线、 双天线或多天线。
现有技术下, 如果分别使用 1.2288G或 2.4576G的光纤传输, 若上行和 下行基带使用现行的 8比特和 16比特位宽进行处理, 且采用 3.84*2M/s采 样速率, 则仅能支持 3个 RRU ( 1.2288G )或 7个 RRU ( 2.4576G ) 。
为了使得 NodeB能够支持更多的 RRU单元, 可以在 I、 Q数据传输过 程中, 采取降低量化比特和变换采样率的方法。 如果对 RBI 单小区比特宽 位进行处理且不改变采样速率大小, 将上行和下行基带比特位宽分别降到 Ί 比特和 15比特, 则可支持 4个 RRU ( 1.2288G )或 8个 RRU ( 2.4576G ) 。 通过仿真手段对截位处理前后的基带接收性能的差异进行评估,发现降低量 化比特对性能影响非常小,对于系统来说完全可以接受,但如果再次降低量 化比特的话对接收性能的影响就会比较大了。
因此考虑在基带信号传输过程中变换数据采样率, 达到增加 RRU单元 数的目的。 如果采取变换采样率的方法, 就需要对数据速率进行降采样的 处理。 现在的天线基带数据采样速率为 3.84*2M/s, 而实际上的载频间隔为 5MHz,有效信号带宽小于 5MHz,分布在 0频点左右,最大频率为 2.5MHz。 根据采样定理, 只要满足 3.84/2*1.22=2.34M/s (滚降因子为 1.22 )的采样速 率即可以不失真地获取原始信号, 降低采样率也就降低了数据传输量, 可以 在有限的传输能力内传输更多天线或 RRU的数据。 然后把低采样率的数据 通过筒单的 FIR滤波插值方法将釆样速率恢复到 3.84*2M/s。采用这种方法, 在保证性能几乎没有损失的前提下, 仅增加 FIR滤波插值处理过程, RRU 和 NodeB之间的连接能力就能得到 30% ~ 60%的提高。 发明内容
本发明要解决的技术问题是提供一种变换数据采样率的数据传输方法 , 使得在有限的传输能力内 NodeB能够支持更多的射频远端单元(RRU ) , 解决目前系统中容量不足的缺陷。
本发明提出一种基带信号传输中数据采样率变换的方法, 包含以下步 骤:
( a )对基带信号中的数据进行降采样处理;
( b )处理后的数据继续传输;
( c )在数据传输至基带芯片前, 对数据进行处理, 将其釆样率恢复至 基带芯片要求的采样率。
所述步驟 (a ) 中降采样后的数据采样率大于 2.34M/s。
所述步骤(a ) 中用 FIR滤波插值方法实现数据降采样处理。
所述步骤 (c ) 中用 FIR滤波插值方法实现数据采样率的恢复处理。 所述 FIR滤波插值方法包含如下步骤:
( dl )对待处理的数据作 L倍插值;
( d2 )对插值后的数据进行抽取, 每 M个值中抽取一个, 其中, L, M 的取值使得抽取后的数据其采样率为所要求的采样率; ( d3 )将(d2 ) 中处理过的数据与 N阶 FIR滤波系数积分, 生成新序 列, 其中滤波器长度 N和 FIR滤波系数为系统设计时确定的参数。
一种基带信号传输系统, 包含射频远端单元 RRU, 数据传输通道和基 站 NodeB, 其特征在于: 所述射频远端单元 R U中还包含 A/D转换模块, 数据采样率变换模块, 所述 NodeB中还包含数据采样率恢复模块, 其中: 所述 A/D转换模块用于对 RRU接收到的天线数据进行 A/D转换; 所述数据采样率变换模块用于对 A/D转换模块输出的数据进行降采样 处理;
所述数据采样率恢复模块用于数据传输通道中传来的数据进行釆样率 恢复处理, 将数据采样率恢复至基带芯片要求的采样率。
所述射频远端单元接收天线数据, 由 A/D转换模块进行转换, 然后由 所述数据采样率变换模块对转换后的数据进行降采样处理,处理过的数据由 数据传输通道传输至 NodeB,再由所述数据采样率恢复模块将数据采样率恢 复至基带芯片要求的采样率。
所述数据采样率变换模块用 FIR滤波插值方法实现数据降采样处理。 所述数据采样率恢复模块用 FIR滤波插值方法实现数据采样率恢复处 理。
本发明所述的基带信号采样率变换方法, 与现有技术相比, 对天线数据 传输做了一种降低采样速率并且在传输之后进行采样速率恢复的特殊处理 方法, 已通过仿真验证本发明的方法对接收性能几乎没有影响, 且在性能不 受影响的前提下可增加 RRU连接数目。 仿真中采用的降低后的采样速率为 2.4*2M/s, RRU和 NodeB之间的连接能力提高了 50 %左右。 附图概述
图 1是现有技术中 NodeB和 RRU单元连接示意图;
图 2是本发明基带信号传输系统结构框图;
图 3是本发明数据采样率变换方案总流程图; 图 4 是本发明基带信号传输中的降釆样和采样速率恢复具体实施流程 图;
图 5是本发明釆样率变换处理前后的信号示意图;
其中图 5 ( a ) 为未经过采样率变换的信号示意图;
图 5 ( b )为经过降采样和采样率恢复处理的信号示意图;
图 5 ( c ) 为图 5 ( a ) 中未处理的信号和图 5 ( b ) 中已处理信号对比示 意图。 本发明的较佳实施方式
下面将结合附图及实施例对本发明的技术方案进行更详细的说明。 本发明所述的基带传输中的数据采样率变换方法, 是一种降低 I、 Q数 据(按照采用的调制方式 QPSK调制, 需要输入两路调制信号, 一路叫 I路 数据, 一路叫 Q路数据 )传输过程中的采样速率从而增加 RRU单元连接数 目的方法, 其技术的基本方案为:
在系统设计阶段, 确定 FIR滤波系数和 FIR滤波器长度。这里的 FIR滤 波系数将应用于以下两个不同位置的 FIR滤波器: ( 1 ) RRU单元中数据降 采样时所需的 FIR滤波系数; ( 2 ) FIR滤波插值进行采样速率恢复时所需 的滤波系数。
在系统运行阶段, 每次处理主要分以下几个步驟进行:
第一步: 降采样过程, 在 RRU单元中从原有 3.84*2M/s采样速率降到 fs,采样速率进行数据传输, 根据采样定理, 只要满足大于 3.84/2*1.22=2.34M/s (滚降因子为 1.22 ) 的采样速率即可以不失真地获取原 始信号, 这里的 fs,可取 2.4*2, 2.64*2或 2.88*2M等值, 然后执行下一步; 降采样具体实现方法有两种:
1. 直接用低釆样率, 设为 fs,(这里 fs,可取 2.4*2,2.64*2或 2.88*2M等 值)进行采样;
2. 维持现有采样速率 3.84*2M/s,在传输数据之前用 FIR滤波插值方法 进行降采样, 把采样速率从 3.84*2M/s降到 fs,。
为了滤波插值方便, 选取的采样速率可以为:
( 1 ) 3.84*2*5/8 = 4.8M/S , 传输的天线数据流为原来的 1.6倍, RRU 数目增加 50 %左右;
( 2 )3.84*2*11/16 = 5.28M/s,传输的天线数据流为原来的 1.45倍, RRU 数目增加 49 %左右;
( 3 ) 3.84*2*3/4 = 5.76M/s, 传输的天线数据流为原来的 1.33倍, RRU 数目增加 40 %左右。
这里取这三种值为例, 当然也可以选取其它采样速率。
第二步: 数据传输到 NodeB;
第三步: 采样速率恢复, 在 fs,采样速率下经过数据传输通道进行数据 传输, 在 NodeB中采用 FIR滤波插值恢复采样速率到 3.84*2M/s;
第四步: 采用原采样速率 3.84*2M/s传输数据到基带芯片, 完成后续处 理。
图 2所示是本发明基带信号传输系统结构框图。该系统包含射频远端单 元 R U, 数据传输通道和基站 NodeB, 射频远端元中包含 A/D转换模块和 数据采样率变换模块, NodeB中包含数据采样率恢复模块, 其中:
所述 A/D转换模块用于对 RRU接收到的天线数据进行 A/D转换; 所述数据采样率变换模块用于对 A/D转换模块输出的数据进行降采样 处理;
所述数据采样率恢复模块用于对数据传输通道中传来的数据进行采样 率恢复处理, 将数据采样率恢复至基带芯片要求的采样率。
射频远端单元 RRU接收到的天线数据进行 A/D转换, 然后进行数据采 样率的变换, 降低采样速率进行数据传输, 这里的降采样方法有两种:
1 )直接用低采样速率 fs'进行采样;
2 )通过 FIR滤波插值来降低采样速率到 fs,。 这里把插值、 抽样以及滤 波过程结合起来统一考虑, 以实现乘法次数为最少的滤波器结构。
本发明中采用第二种方法,由于现在的天线数据采样速率为 3.84*2M/s, 通过方法二将 RRU单元接收到的天线数据从 3.84*2M/s的采样速率经过 FIR 滤波插值降低到 fs,, 经过数据传输通道传输数据到 NodeB。 由于在现有技 术下, 上行基带 I、 Q数据采样速率固定为 3.84*2M/s, 因此在 NodeB中通 过 FIR滤波插值将采样速率为 fs,的数据恢复到 3.84M的 2倍采样速率的数 据。
图 3所示是数据采样率变换方案总流程图, 该方案主要包含两个过程: 降采样过程以及数据采样率恢复过程。
图 4 所示为基带信号传输中的降采样过程以及采样速率恢复过程的流 程图。该流程图具体执行的数据采样率变换处理方法,可分为以下几个步骤:
1. 射频远端单元 RRU接收天线 I、 Q数据, 进行 A/D转换;
2. 降采样过程;
在 RRU单元中实现降采样, 本发明采用上述第二种方法, 维持现有采 样速率 3.84*2M/s, 在传输数据之前用 FIR滤波插值方法进行降采样, 步骤 实现如下:
第一步: 把 3.84*2M/s的采样速率经过 L1倍插值到 3.84*2*L(M/s); 第二步: 将插值以后的数据进行抽取,从每 Ml个采样点取一个采样点 的值,如抽取 Ml采样点中第一个采样点的值,即得到 fs,=3.84*2*Ll/Ml(M/s) 的数据流;
第三步: 将插值采样以后的数据流和 N阶的 FIR滤波系数分别进行积 分(这里的 FIR滤波系数和 FIR滤波器长度 N是在系统设计时确定的参数), 生成新序列, 采用低采样速率 fs,, 射频远端单元 RRU将数据进行传输送到 基带中进行下一步处理。
其中, L1为插值倍数, Ml为抽取倍数, N为滤波器长度, fs'为数据采 样率变换后的低采样速率。
假设输入信号为 x(n),输出信号为 y(n), h(n)为 FIR滤波器响应(即 FIR 滤波系数脉冲响应) , 则输出信号 "Ml
: ") =∑g(z' +〈0( n=0,l,...,K-l , K=N/L1
(=0 ~ΪΑ 其中 FIR滤波器单位抽样响应
g(n, m) = h(riLl + (mMl)LLll) η=0,1,·. ·,Κ-1, m=0,l5...,Ll-l , K=N/L1
nMl
从上式可以看出, 输入数据 x(n)按) 转换, 对每一个输出数据信
XI
号 y(n), n=0,l,...,Ll-l, 在每一个时刻 n, 输入数据和滤波器系数对应相乘 得到该时刻的 y(n),然后和下一个滤波器的系数相乘,得到下一点输出 y(n), 直到对输入数据 x(n)的全部数据处理结束。 、
3. 进行数据传输到 NodeB;
4. FIR滤波插值恢复采样速率;
基于基带芯片的需求, 其采样速率要求为 3.84*2M/s, 因此对于 RRU 单元输出的降采样天线数据, 需要进行采样速率的恢复处理,将采样速率从 fs,恢复到 3.84*2M/s。这就需要采用 FIR滤波插值来实现,其处理过程如下: 第一步: 把 fs,低采样速率经过 L2倍插值到 fs,*L2(M/s);
第二步: 将插值以后的数据进行抽取,从每 M2个采样点中取一个采样 点的值, 如抽取 M2 个采样点 中 第一个采样点 , 即得到 fs=fs'*L2/M2=3.84*2M/s的数据流。
笫三步: 将插值釆样以后的数据流和 N阶的 FIR滤波系数分别进行积 分(这里的 FIR滤波系数和 FIR滤波器长度 N是在系统设计时确定的参数), 生成新序列。 此时采用原采样速率 3.84*2M/s传输数据到基带芯片, 完成后 续处理。
其中, 其中, L2 为插值倍数, M2 为抽取倍数, N为滤波器长度, fs 为原天线数据采样速率。
假设输入信号为 x(n),输出信号为 y(n), h(n)为 FIR滤波器响应(即 FIR 滤波系数脉冲响应) , 则输出信号
K-1 nM2
■i) n=0,l,.."K-l , K=N/L2
'•=0 L2 其中 FIR滤波器单位抽样相应
g(n, m) = hinll + (mM2)L2 ) n=0,l,.. "K-l , m=0,l ,L1-1 , K=N/L2
nM2
从上式可以看出 , 输入数据 x(n)按照 转换, 对每一个输出数据信
L2
号 y(n), n=0,l,...,L2-l , 在每一个时刻 n, 输入数据和滤波器系数对应相乘 得到该时刻的 y(n),然后和下一个滤波器的系数相乘,得到下一点输出 y(n), 直到对输入数据 x(n)的全部数据处理结束。
5. 数据传输到基带芯片, 进行后续处理。
图 5所示是采样率变换处理方法前后的信号示意图,其中: a)表示没有 经过本发明的数据采样率变换处理的信号示意图; b)表示经过数据采样率变 换,这里采用的降采样的采样速率为 2.4*2M/s, 首先是 FIR滤波插值降采样 处理, 然后是 FIR滤波插值采样速率恢复的处理以后的信号示意图; c)为上 述两图中的信号放在一个图中进行对比。
由于现在的天线基带数据采样速率为 3.84*2M/s, 而实际上的载频间隔 为 5MHz,有效信号带宽小于 5MHz,分布在 0频点左右,最大频率为 2.5MHz。 根据采样定理, 只要满足 3.84/2*1.22=2.34M/s (滚降因子为 1.22 )的采样速 率即可以不失真地获取原始信号, 从图 5中的图 c )可以看出, 两者的信号 基本相同, 差别非常小, 因此本发明仅增加 FIR滤波插值处理过程对性能几 乎没有影响。
当然, 本发明还可有其他多种实施例,在不背离本发明精神及其实质的 形, 但这些相应的改变和变形都应属于本发明所附的权利要求的保护范围。
工业实用性
本发明所述的基带信号采样率变换方法, 与现有技术相比, 对天线数据 传输^ 了一种降低采样速率并且在传输之后进行采样速率恢复的特殊处理 方法, 已通过仿真验证本发明的方法对接收性能几乎没有影响, 且在性能不 受影响的前提下可增加 RRU连接数目。 仿真中采用的降低后的采样速率为 2.4*2M/s, RRU和 NodeB之间的连接能力提高了 50 %左右。

Claims

权 利 要 求 书
1、 一种基带信号传输中数据采样率变换的方法, 包含以下步據:
( a )对基带信号中的数据进行降采样处理;
( b )处理后的数据继续传输;
( c )在数据传输至基带芯片前, 对数据进行处理, 将其采样率恢复至 基带芯片要求的采样率。
2、 如权利要求 1所述的方法, 其特征在于: 所述步骤(a )中降采样后 的数据采样率大于 2.34M/s。
3、 如权利要求 1所述的方法, 其特征在于: 所述步骤(a )中用 FIR滤 波插值方法实现数据降采样处理。
4、 如权利要求 1所述的方法, 其特征在于: 所述步骤(c )中用 FIR滤 波插值方法实现数据采样率的恢复处理。
5、 如权利要求 3或 4所述的方法, 其特征在于: 所述 FIR滤波插值方 法包含如下步驟:
( dl )对待处理的数据作 L倍插值;
( d2 )对插值后的数据进行抽取, 每 M个值中抽取一个, 其中, L, M 的取值使得抽取后的数据其采样率为所要求的采样率;
3 )将(d2 ) 中处理过的数据与 N阶 FIR滤波系数积分, 生成新序 列, 其中滤波器长度 N和 FIR滤波系数为系统设计时确定的参数。
6、 一种基带信号传输系统, 包含射频远端单元 RRU, 数据传输通道和 基站 NodeB,其特征在于:所述射频远端单元 RRU中还包含 A/D转换模块, 数据采样率变换模块, 所述 NodeB中还包含数据采样率恢复模块, 其中'. 所述 A D转换模块用于对 R U接收到的天线数据进行 A/D转换; 所述数据釆样率变换模块用于对 A/D转换模块输出的数据进行降采样 处理;
所述数据采样率恢复模块用于数据传输通道中传来的数据进行采样率 恢复处理, 将数据采样率恢复至基带芯片要求的采样率。
7、 如权利要求 6所述的系统, 其特征在于: 所述射频远端单元接收天 线数据, 由 A/D转换模块进行转换, 然后由所述数据采样率变换模块对转 换后的数据进行降采样处理, 处理过的数据由数据传输通道传输至 NodeB, 再由所述数据采样率恢复模块将数据采样率恢复至基带芯片要求的采样率。
8、 如权利要求 6所述的系统, 其特征在于: 所述数据采样率变换模块 用 FIR滤波插值方法实现数据降采样处理。
9、 如权利要求 6所述的系统, 其特征在于: 所述数据采样率恢复模块 用 FIR滤波插值方法实现数据采样率恢复处理。
PCT/CN2007/000656 2006-11-17 2007-03-01 Procédé et système de conversion de taux d'échantillon de données en transmission de signal dans la bande de base WO2008058439A1 (fr)

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