CMMB接收机中的粗载波频偏估计

提出一种适合CMMB接收机的粗载波频偏估计算法,小数倍频偏在时域中估计,整数倍频偏在频域中估计,而频偏的纠正则是在时域中完成.     

地面数字视频广播系统中的频偏估计

提出了适合数字视频广播地面传输系统的频率偏移估计方案,采用频偏捕获和跟踪多级同步策略,研究分析了时域上基于数据保护间隔的粗小数倍频偏估计算法、频域上基于内插导频单元的整数倍频偏估计算法以及小数倍频偏精估计算法,仿真结果表明:此方案具有良好的性能.     

多径衰落信道下的OFDM时频联合同步算法

符号定时和载波频率偏差将严重影响OFDM系统的性能。基于具有重复结构的CAZAC序列,提出了一种仅利用一个CAZAC符号实现符号定时、整数倍频偏与小数倍频偏估计的同步算法。这种算法在完成粗定时同步的同时得到整数倍频偏估计,然后根据整数倍频偏估计值对定时估计进行修正,最后完成小数倍频偏估计。分析与仿真结果表明,该算法相对经典算法,不但提高了传输效率,还显著改善了OFDM系统的定时与频偏估计性能,相比CAZAC序列算法,提升了多径信道下的同步性能。     

利用CAZAC序列共轭对称性的OFDM时频同步算法

符号定时和载波频率偏差将严重影响OFDM系统的性能。基于具有重复结构的CAZAC序列,提出了一种仅利用一个CAZAC符号实现符号定时、整数倍频偏与小数倍频偏估计的同步算法。首先,所提算法在完成粗定时同步的同时得到整数倍频偏估计。然后根据整数倍频偏估计值对定时估计进行修正,最后完成小数倍频偏估计。分析与仿真结果表明,该算法相比于传统PARK算法,不仅完成了定时估计,而且得到了频偏估计;相对于经典SC算法,不但提高了传输效率,还显著改善了OFDM系统的定时与频偏估计性能;相比于利用CAZAC序列的同步算法,提高了算法的估计精度以及对多径信道的适应性。      

数字电视视频广播的关键技术--OFDM及其同步

研究数字地面视频广播(DVB-T)OFDM(Orthogonal Frequency Division Multiplex)传输系统接收端的同步.根据DVB-T标准和OFDM原理,在FFT前该方案采用多载波系统时域的保护间隔所携带的冗余信息进行粗符号同步和分数粗频偏估计;在FFT后,利用频域插入的连续导频进行整数倍频偏估计、分数细频偏及采样钟偏移估计,利用散布导频实现精符号同步.     

一种基于自相关矩阵的OFDM信号同步参数盲估计算法

该文提出了利用自相关矩阵实现OFDM信号符号定时参数和频偏估计算法。该算法不需要数据辅助,通过使得接收信号自相关矩阵非对角线元素的模值之和达到最小实现分数倍频偏的跟踪,通过判断对角线元素位置发生的移动可以准确地估计整数倍频偏,同时通过使得对角线上对应虚载波位置的元素的模值之和最小实现符号同步。文中给出了算法的推导过程和具体应用的步骤。仿真结果表明该算法具有较大的估计范围以及良好的估计精度。     

LTE系统中一种串行的整数倍频偏和扇区检测算法

在LTE系统中,用户终端( UE )在开机后首先会进行小区搜索。针对传统的小区搜索方案中整数倍载波频偏( ICFO)和扇区ID是通过利用主同步信号( PSS)进行联合检测这一问题,提出了一种串行的整数倍频偏和扇区ID估计算法。该算法利用PSS的对称性,将ICFO和扇区ID进行分开检测,通过对接收的频域PSS进行归一化差分相关,消除了信道的影响,从而增强了检测性能。将联合估计算法和提出的串行估计算法进行仿真对比,结果表明提出的算法相较于传统方法可以取得更好的检测精度,并且运算复杂度仅为传统方法的1/3。     

一种OFDM定时同步与载波频偏估计算法

本文提出一个有效的利用周期性前导字的OFDM定时同步与频偏估计算法.算法分为两个步骤,首先根据前导字的特殊结构对Schmidl&Cox算法进行改进,将Schmidl&Cox算法中平台的检测变成单个峰值的检测,并由单峰的位置和复值可同时准确地估计符号定时和分数倍频偏;然后提出"相位差分序列",利用该序列的相关性对整数倍频偏进行估计.文中针对AWGN信道和SUI信道对算法进行了仿真,结果表明本文算法较其它算法具有更好的估计性能和鲁棒性.     

高精度OFDM整数频偏与符号同步频域联合估计算法

针对OFDM载波同步中符号定时误差会严重影响传统整数倍频偏估计算法性能的问题,提出一种高精度整数倍频偏及符号细同步的频域联合估计算法.该算法通过将发送端经圆周移位及差分调制的频域训练序列与接收端经差分调制的频域训练序列做互相关,能够同时进行整数倍频偏的估计以及符号细同步.经在多径信道条件下仿真结果的验证,该算法能达到很高的估计精度.     

一种基于异周期结构的OFDM频偏估计方法

本文设计了一种具有异周期毗邻结构的新型循环前缀(Heter-cycle abutted CP,HCA-CP),在此基础上提出了相应的OFDM 频偏估计算法.该异周期毗邻结构循环前缀由短循环前缀CP1和长循环前缀CP2两部分构成.采用该异周期毗邻结构的OFDM符号具有双周期特征,其中短循环前缀CP1对应的周期为整个循环前缀的长度L,长循环前缀CP2对应的周期为OFDM符号的数据长度N.论文中频偏估计方法利用短循环前缀CP1做相关运算获得整数倍频偏,利用长循环前缀CP2做相关运算获得引小数倍频偏,通过引入较短的CP1,牺牲极少的资源,可以有效克服现有频偏估计方法中的固定频偏估计范围的缺陷,同时具有频偏估计范围大,精度高的特点.     

卫星5G通信抗干扰时频同步算法

为了提高卫星通信系统的抗干扰和抗频偏能力,提出了一种在5G物理层波形中融入扩频技术的传输波形设计方案和辅同步信号（Secondary Synchroniztion Singnal,SSS）辅助主同步信号（Primary Synchronization Signal,PSS）多步联合抗干扰时频同步算法。该算法的实现分为3步：首先采用SSS辅助PSS二维时间同步得到粗同步点;然后根据粗同步点进行整数倍和小数倍频偏估计与补偿,其中小数倍频偏估计分为PSS扫频粗频偏估计和SSS辅助PSS互相关精频偏估计;最后对频偏补偿后的接收序列再次进行精时间同步和频偏补偿。仿真结果表明,所提设计方案和同步算法可以抗干信比为12 dB的干扰,并且在低信噪比下的性能优于传统算法。     

Frequency synchronization for TD-LTE-A downlink receiver

A high accuracy frequency synchronization method is proposed for the 3rd generation partnership project (3GPP) long term evolution advanced (LTE-A) downlink receiver in time division duplexing (TDD) mo...     

5G卫星通信系统频偏估计算法

卫星通信系统中存在的大的多普勒频偏严重影响着系统的性能.为了提高频偏估计的性能,基于5G NR帧结构和同步信号,提出新的利用级联积分梳状(Cascaded Integrator Comb,CIC)滤波器插值的小数倍频偏估计算法.该算法分两步实现小数倍频偏估计:首先,利用结构简单、运算快速的CIC滤波器对接收主同步序列(...     

Low‐complexity joint detection of carrier frequency offset and sector cell index for LTE cellular system

In this paper, we propose a low‐complexity joint detection of sector cell index and integer carrier frequency offset for a long‐term evolution downlink system. In order to implement a low‐cost detection scheme, a primary synchronization signal used for joint parameter estimation is grouped into a number of subsets so that the pilots in each subset are strongly correlated. The estimation performance and the computational load of the proposed scheme are compared with those of the commonly used conventional detection scheme using a differential correlation to remove common channel effects. It is found that the proposed scheme can jointly detect the cell index and integer carrier frequency offset with higher accuracy and much lower complexity, compared with the conventional scheme. Copyright © 2014 John Wiley & Sons, Ltd.     

突发OFDM系统中的同步算法研究

提出了一种应用于突发OFDM通信系统的同步算法。在粗同步阶段,采用两路延迟相关结构,通过适当选择两路的延迟量和累加量,可以有效实现估计精度与方差的折中,提高小数频偏的估计精度,在细同步阶段,在FFT之后进行整数频偏和残留时偏的联合估计,利用子载波上的线性相位得到更加精确的时偏估计。仿真显示,该算法具有较高的同步精度和较快的同步速度,能够适应于突发OFDM传输系统。     

Blind Frequency Ambiguity Resolution in OFDM Systems Using a Linear Precoder

This paper presents a technique of the blind frequency ambiguity resolution for orthogonal frequency division multiplexing systems. The basic idea behind this method is a linear precoding scheme applied to data in predefined subcarriers before the inverse discrete Fourier transform to deploy a correlation structure, thus the integer part of the carrier frequency offset can be estimated after the discrete Fourier transform via cross correlation operations among these subcarriers. Performance analysis is carried out to gain insight into the relationship between the false estimation probability and system parameters. Allocation of these predefined subcarriers is optimized to avoid false estimation. Finally, numerical simulations are conducted to demonstrate the efficiency of the proposed method and the performance comparison with the existing estimators.     

Estimation of Integer Carrier Frequency Offset in OFDM Systems Based on the Maximum Likelihood Principle

An algorithm is derived for the estimation of the integer part of the carrier frequency offset in OFDM systems. The algorithm employs correlation of consecutive OFDM symbols in the frequency domain, is formulated for the general case of a system using data subcarriers and/or pilots and approximates the Maximum Likelihood (ML) correlation-based estimator for the AWGN channel. The cases of pseudo-pilots, boosted pilots and virtual subcarriers are also examined. It is shown that, compared to previous approaches based on symbol correlation, the algorithm makes better use of the information contained in the correlated symbols, leading to a more accurate, approximate ML estimate of the integer carrier frequency offset at operating signal-to-noise ratios. Simulations indicate that, even in the case of multipath channels, the proposed algorithm is very likely to outperform other techniques.      

Robust and Accurate Frequency and Timing Synchronization Using Chirp Signals

We propose a new robust and accurate synchronization procedure using a training sequence composed of chirp signals. We use a new integer frequency estimation algorithm and propose a new combination of a known fractional frequency offset estimation algorithm and timing synchronization algorithm. The training sequence is composed of one up and two down chirp symbols, also known as Newman phases. The integer frequency offset estimation algorithm uses the effect of timing and frequency offsets on the matched filter outputs of the chirp signals. Autocorrelation and reversed autocorrelation are used to acquire the timing instant and the fractional frequency offset. We present the complete timing and frequency synchronization procedure and study the output signals of the autocorrelation and reversed autocorrelation algorithms. Finally, we check the performance of the synchronization procedure via Monte Carlo simulation in several multipath channels. Our algorithms are accurate and more robust compared to previously published state-of-the art algorithms.