CN103999416B - 使用最大似然比特流编码的信号的直接数字合成 - Google Patents
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Abstract
提供了用于使用最大似然序列估计的直接合成RF信号的方法和装置。通过对数字RF输入信号执行最大似然序列估计来合成RF数字RF输入信号以产生数字流,以使得在由原型滤波器滤波后所产生的数字流产生基本上最小的误差。所述基本上的最小误差包括所述原型滤波器的数字输出与数字RF输入信号之间的差。所述数字流基本上与输入的数字RF信号相等。所述数字流可以被施加到模拟复原滤波器,并且模拟复原滤波器的输出包括与数字RF输入信号近似的模拟RF信号。
Description
对相关申请的交叉引用
本申请要求于2011年10月27日提交、题为“Software Digital Front End(SoftDFE)Signal Processing and Digital Radio”的美国专利临时申请No.61/552,242的优先权,其通过引用合并至此。
本申请涉及于2009年3月31日提交、题为“Methods and Apparatus for DirectSynthesis of RF Signals Using Delta-Sigma Modulator”的国际专利申请No.PCT/US09/38929,其通过引用合并至此。
技术领域
本发明涉及比特流编码技术,并且更具体地涉及使用最大似然比特流编码的RF信号的直接合成的技术。
背景技术
以通过将携带基带信号的初始信息乘以载波频率所获得的期望频率来传输通信信号。在射频(RF)发射器中,例如,通常通过将数字信号转换为模拟信号,然后使用一个或多个混合器将所述模拟信号与RF载波频率信号混合,来从携带数字基带信号的信息中获得期望的RF频率。
已经提出或建议了许多直接合成技术用于从携带数字基带信号的信息直接合成RF信号。例如,于2009年3月31日提交、题为“Methods and Apparatus for DirectSynthesis of RF Signals Using Delta-Sigma Modulator”的国际专利申请No.PCT/US09/38929公开了使用Δ-∑调制器直接合成RF信号的技术。
对于高精度数模转换,当可能进行大规模过采样(例如,在音频或无线基带应用中,信号带宽相对低并且10-1000次过采样是可能的)时,当使用一比特量化器、调制器(噪声整形器)(后接模拟滤波器)时,该Δ-∑调制器已经成功地用于实现高精度数模转换。然而,该Δ-∑调制器的反馈路径在较高采样频率(例如,1GHZ及更高)下难以实现。由于存在非线性量化器,算法在较低的时钟频率下难以并行并且因此难以实现。此外,输入信号通常被限制在所述参考电压的一部分,以确保调制器的稳定性(例如,所述技术的功率效率不是很高)。而且,较高的分辨率需要高的过采样率(100或更多)。
因此需要用于在较高采样频率下直接合成RF信号的改进的方法和设备。还需要用于RF信号的直接合成的稳定的调制器,在该稳定的调制器中过采样率降低并且提供相对于Δ-∑调制器改进的噪声性能,并且其能够在较高频率(几百兆赫兹到几千兆赫兹)下实现。例如,许多国家的GSM信号的中心频段在800MHz附近,并且WCDMA信号的中心频段在2.1GHz附近(基站发射器)。
发明内容
大体上,提供使用最大似然序列估计的直接合成RF信号的方法和设备。根据本发明的一方面,通过对数字RF输入信号执行最大似然序列估计来产生数字流,以使得产生的数字流在由原型滤波器滤波后产生基本上最小的误差来合成所述RF数字RF输入信号。所述基本上最小的误差包括所述原型滤波器的数字输出与所述数字RF输入信号之间的差。所述数字流基本上与所述输入数字RF信号相等。所述最大似然序列估计包括,例如,维特比解码、减少状态序列估计和/或M算法。
根据本发明的另一方面,所述数字流被施加到模拟复原滤波器。所述模拟复原滤波器的输出包括与所述数字RF输入信号近似的模拟RF信号。在不同实施例中,所述模拟复原滤波器包括,例如,无源滤波器、电阻-电感-电容(R-L-C)电路和/或传输线路。
所述原型滤波器具有与所述复原滤波器类似的频率响应。在不同实施例中,所述原型滤波器包括有限冲激响应滤波器或无限冲激响应滤波器。例如,所述原型滤波器可以是带通滤波器并且所述数字RF输入信号是在数字域被调制到RF频率的基带信号。或者,所述原型滤波器可以是基带滤波器并且所述数字RF输入信号是基带信号。
将通过参考以下详细描述和附图获得对于本发明的更全面的理解,以及本发明的进一步的特征和优点。
附图说明
图1示出了传统RF发射器;
图2示出了示例性Δ-∑调制器;
图3示出了示例性一比特Δ-∑调制器的频率响应;
图4是包含本发明的一些方面的示例的最大似然比特流编码系统的示意方块图;
图5是图4的最大似然比特流编码器的示例性实现方式的示意方块图;以及
图6A和6B分别示出了基带和带通实现方式的所述h(t)原型滤波器的示例性滤波器响应。
具体实施方式
本发明的一些方面提供了使用最大似然比特流编码的信号的直接数字合成。根据本发明的一个方面,提供了一种基于最大似然编码(例如,维特比或M算法)的编码器。示例性最大似然比特流编码器产生数字流数据(二进制一或零)的基本最优的序列,使得在模拟滤波之后产生的模拟波形(近似地)等于期望的信号。以这种方式,通过找到基本最优的比特(或多级)序列来近似数字信号,使得在滤波之后产生的模拟RF信号近似地等于数字版本的输入信号。
Δ-∑调制
图1示出了传统RF发射器100。如图1中所示,传统RF发射器100最初使用数模转换器110将携带基带信号的信息转换成数字信号。然后所述数字信号由低通滤波器120滤波并且使用混合器130将其与RF载波频率信号混合。然后,通过已知的方式,混合器130的输出由带通滤波器140滤波以减小带外噪声。
图2示出了根据于2009年3月31日提交、题为“Methods and Apparatus forDirect Synthesis of RF Signals Using Delta-Sigma Modulator”的国际专利申请No.PCT/US09/38929的示例性Δ-∑调制器200。如图2中所示,所述示例性Δ-∑调制器使用一比特量化器210和具有匹配频率极点/零点对的误差预测滤波器220。以下结合公式(2)进一步讨论所述匹配频率极点/零点对。示例性误差预测滤波器220为18阶。
由加法器230将所述一比特量化器210的输入值u与量化输出值q进行比较,产生量化误差e。由误差预测滤波器220处理所述量化误差e,以产生误差预测值e1,其被存储在寄存器240中持续一个时钟周期,然后由加法器250将其从所述输入信号r中减去,产生误差补偿输入值u。一般来说,误差预测滤波器220以已知方式利用对所述输入信号的一些认识来对所述信号进行滤波。例如,如果已知所述误差变化缓慢,所述误差预测滤波器220可以对随后的采样使用相同数值。
一般来说,所述一比特量化器210的输出提供所述输入信号的粗略近似。输入信号r可以是例如16比特数字值,并且由所述量化器210执行一比特量化(例如,所述量化可以基于所述输入信号的极性)来进行粗略模拟转换。与一比特量化器210相关的量化噪声e主要是带外的。如先前是指出的,由所述量化器210执行的一比特量化是固有线性的。
在此描述的示例性实施例中,假定量化误差e(n)与输入r(n)不相关。因此量化器输出q(t)的功率频谱密度Sq,q可以表示为频率f的函数,如下:
Sq,q(f)=Sr,r(f)+(1一H(z))2Se,e(f) (1)
其中r是输入信号并且
误差预测滤波器220在期望频率f1、f2、...、fn上提供零点,并且在基本上与零点相同的频率上提供极点,其极点具有小于一的幅值αi。注意到,如对本领域普通技术人员所显而易见的,极点和零点的分布可以是固定的或者变化的,并且对于给定实现方式可以优化极点和零点的分布。
图3示出了示例性的18阶带通Δ-∑调制器200的频率响应300。如图3中所示,示例性误差预测滤波器220在2GHz附近展现为通带,并且具有100MHz的带宽。值得注意地,示例性误差预测性滤波器220展示了110dB的SFDR。
使用最大似然比特流编码的直接合成
图4是包含本发明的一些方面的示例性最大似然比特流编码系统400的示意方块图。如图4中所示的,最大似然比特流编码系统400包括最大似然比特流编码器500(以下结合图5进一步讨论),以及模拟复原滤波器410。给所述最大似然比特流编码器500施加输入信号x。所述输入信号x包括数字RF信号。
如以下结合图5进一步讨论的,最大似然比特流编码器500产生与所述数字RF输入信号x基本上相等的数字流b,使得所产生的数字流b在原型滤波器滤波之后产生基本上最小的误差。如下所讨论的,所述误差定义为所述原型滤波器的数字输出与所述数字RF输入信号x之间的差。
所述数字流b可以是,例如,两级二进制信号,多级信号,以及NRZ、PAM、QAM(例如QPSK)信号中的一个或多个。
如图4中所示,将数字流b施加到模拟复原滤波器410以产生与所述数字RF输入信号x近似的模拟RF信号。所述模拟复原滤波器410通常是无源的,并且可以使用例如电阻-电感-电容(R-L-C)电路和/或传输线路实现。
本发明的一些方面认识到最大似然序列估计(MLSE)技术可以被应用于数据转换和编码,而不仅仅是更为典型的数据解码。
图5是包含本发明的一些方面的示例性最大似然比特流编码器500的示意方块图。如图5中所示,最大似然比特流编码器500接收数字RF输入信号x并且产生与所述数字RF输入信号x基本上相等的数字流b,使得在h(t)原型滤波器520滤波(以下结合图6进一步讨论)之后,所产生的数字流b产生基本上最小的误差e。如图5中所示,由加法器530获得所述示例性误差信号e,为所述原型滤波器520的数字输出(滤波的数字比特流b)与所述数字RF输入信号x之间的差。
一般来说,所述h(t)原型滤波器520具有中心基本上在数字输入信号x的频率附近的通带。所述h(t)原型滤波器520可以实现为例如有限冲激响应(FIR)或无限冲激响应(IIR)滤波器。
在阶段510,最大似然比特流编码器500找到最大似然比特流(比特流b),其使用最大似然序列估计(MLSE)技术使所述误差e最小。所述MSLE技术包括,例如,维特比算法、减少状态序列估计(RSSE)和M算法中的一个或多个(以减少解码器的状态数,其可以很大)。如果抽头数为Ntaps,解码器状态数为2Ntaps,随着抽头数指数增长,并且可能不实用。对于M算法的一种讨论,参见,例如,E.F.Haratsch,“High-Speed VLSI Implementation of ReducedComplexity Sequence Estimation Algorithms With Application to GigabitEthernet1000BaseT”,Int’l Symposium on VLSI Technology,Systems,andApplications,Taipei(June 1999),它们中的每一个通过引用,包含于此。
基于所述输入信号x的特征设计所述模拟复原滤波器410,并且所述原型滤波器520具有与所述复原滤波器410相似的频率响应。
所述MLSE可选地合并到其解码RF功率放大器(S类转换型放大器)或数字驱动模拟电路(例如,通常在数字或混合信号的片上系统(SOC)中使用的串行器-解串器(SerDes)的传输电路)的非线形存储器中以补偿这些设备的非线性。所述片上系统可以包括,例如,基带信号处理器、数字前端(DFE)或单芯片基站。
图6A和6B分别示出了基带和带通实现方式的h(t)原型滤波器620的示例性滤波器响应。如图6A中所示,所述h(t)基带原型滤波器620具有基带响应610(20MHz LTE的两载波),例如40MHz LTE基带信号。示例性的对应的采样率为5.89824GSPS(=30.62MSPS(LTE基带))。把响应部分620归因于由于数字预失真(DPD)而导致的频谱再生长。关注的信号带宽630,例如,在DPD达到3阶校正之后是120MHz(或者5阶校正为200MHz)。
如图6B中所示,h(t)带通原型滤波器620具有带通响应650以及关注的信号带宽660。在带通的情况中,太小的信号带宽难以实现,因为其导致非常高的Q滤波器(例如,2.14GHz/20MHzQ~100(过高),然而2.14GHz/200MHz导致Q为10是可行的)。
在进一步变型中,最大似然编码器还可以被用作模数转换器,其中输入信号是模拟信号而不是数字信号,原型滤波器是模拟的,复原滤波器是数字的并且在模拟域实现所述最大似然解码器。
结论
已经参照数字逻辑框图描述了本发明的示例性实施例,如对本领域技术人员显而易见的,各种功能可以以软件程序、以电路元件或状态机实现的硬件,或以软件和硬件两者的组合,在数字域中实现,作为处理步骤。可以在例如数字信号处理器、专用集成电路或微控制器中使用这种软件。这种硬件和软件可以包含到实现在集成电路中的电路内。
因此,可以以方法和用于实现那些方法的设备的形式实现本发明的功能。可以以程序代码的方式实现本发明的一个或多个方面,例如,其存储在存储介质内、加载到机器中和/或由机器执行,其中,当所述程序代码被加载到机器中并由机器(诸如处理器)执行时,所述机器变成用于实现本发明的设备。当在通用处理器上实现时,所述程序代码片段与处理器结合以提供与专用逻辑电路类似地运行的设备。本发明还可以在集成电路、数字信号处理器、微处理器和微控制器中的一个或多个上实现。
应当理解,这里示出和描述的实施例及其变形仅仅是本发明的主旨的说明,本领域技术人员在不偏离本发明的范围和精神的情况下,可以实现各种修改。
Claims (10)
1.一种用于数字RF输入信号的直接数字合成的方法,包括:
对所述数字RF输入信号执行最大似然序列估计以产生数字流,使得在通过原型滤波器滤波后产生的数字流产生基本上最小的误差,其中所述最大似然序列估计包括M算法,并且其中所述原型滤波器包括无限冲激响应(IIR)滤波器。
2.如权利要求1所述的方法,其中所述基本上最小的误差包括所述原型滤波器的数字输出与所述数字RF输入信号之间的差。
3.如权利要求1所述的方法,还包括将所述数字流施加到后接模拟复原滤波器的转换型功率放大器和模拟复原滤波器中的一个或多个的步骤。
4.一种数字RF输入信号合成器,包括:
最大似然序列估计器,用于处理所述数字RF输入信号以产生数字流,使得在通过原型滤波器滤波后产生的数字流产生基本上最小的误差,其中所述最大似然序列估计包括M算法,并且其中所述原型滤波器包括无限冲激响应(IIR)滤波器。
5.如权利要求4所述的数字RF输入信号合成器,其中所述基本上最小的误差包括所述原型滤波器的数字输出与所述数字RF输入信号之间的差。
6.如权利要求4所述的数字RF输入信号合成器,其中所述数字流被施加到模拟复原滤波器,并且所述模拟复原滤波器的输出包括与所述数字RF输入信号近似的模拟RF信号。
7. 如权利要求4所述的数字RF输入信号合成器,其中所述数字流与所述输入数字RF信号基本上相等。
8. 一种用于数字RF输入信号合成的系统,包括
存储器;以及
耦合到所述存储器的至少一个硬件设备,可操作为:
对所述数字RF输入信号执行最大似然序列估计以产生数字流,使得在通过原型滤波器滤波后产生的数字流产生基本上最小的误差,其中所述最大似然序列估计包括M算法,并且其中所述原型滤波器包括无限冲激响应(IIR)滤波器。
9.如权利要求8所述的系统,其中所述基本上最小的误差包括所述原型滤波器的数字输出与所述数字RF输入信号之间的差。
10.如权利要求8所述的系统,其中所述数字流被施加到模拟复原滤波器,并且所述模拟复原滤波器的输出包括与所述数字RF输入信号近似的模拟RF信号。
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