一种频域OFDM系统载波频偏估计方法

针对现有载波频偏估计算法存在复杂度高、频率估计精度差、估计结果均方误差大等缺点,提出了一种低复杂度的多导频频偏联合估计算法。该算法采用恒包络零自相关的CAZAC序列作为导频序列,运用最大似然法,迭代法进行载波频偏估计。仿真结果表明,相比于传统的载波频偏估计算法,文章算法复杂度低,具有更好的载波频偏估计性能。     

基于单频信号频率估计的载波频偏估计算法

在前向载波频偏估计中,为扩大捕获范围,提高估计精度,在最大似然准则的基础上,给出了一种非数据辅助的前向载波频偏估计算法。该算法利用由自相关函数估计频偏等效为在噪声中估计复单频信号频率的思想,将基于傅立叶变换的复单频信号频率估计方法应用到载波频偏估计中。对于2π／M旋转对称星座,该算法的估计范围扩大到了±1／2MT,并且具有较高的估计精度。计算机仿真结果给出了该算法在估计精度和估计范围方面的性能。     

共轭对称结构训练符号的多普勒频移估计算法分析

对利用共轭对称结构训练符号进行多普勒频移瞬时值估计的算法性能进行了分析。研究结果表明,在多普勒信道下,该算法具有较高的定时同步精度,并且可以将多普勒频移瞬时值和收、发两端的载波振荡器频偏作为一个整体进行估计,得到准确的估计结果,再进行频偏补偿,从而提高OFDM系统的性能。但在多径-多普勒信道下,该算法的定时估计精度与频偏估计精度较低,很难估计出多普勒频移瞬时值。     

OFDM系统中快速频偏估计

提出了正交频分复用(OFDM)系统中一种新的载波频偏估计算法.载波频偏估计过程可分为获取和跟踪,其中,获取过程和时间同步是同时完成的.新算法可实现的最大载波频偏获取范围是整个信号带宽的一半.新的跟踪算法是一个最大似然算法,在加性白噪声高斯信道(AWGN)下,当N(训练序列长度的一半)等于128时,其性能比Schmidl算法提高约7.27 dB;在多经信道下,当信噪比不是很高时,新算法仍具有优势.     

一种适用于突发信号的载波同步算法

针对突发通信中的非数据辅助载波同步问题,提出了一种改进的差分相位频差估计算法。该算法采用DFT频差粗估计的频率搬移方法扩展了估计范围,对频移后的信号进行K阶均值滤波提高了算法的抗噪声性能,并利用高阶差分相位加权精细估计载波频偏,获得了较高的估计精度。结合二阶判决指导数字锁相环,采用联合结构实现载波相位的快速同步。文章给出了算法的实现步骤,并对其性能进行了分析。仿真结果表明,该算法计算复杂度低,估计精度高,收敛速度快,具有较高的实用价值。     

新的OFDM系统同步联合算法

对正交频分复用(OFDM)系统的同步算法进行了研究。提出了一种基于循环前缀和虚载波的联合算法。该算法不需要辅助数据,降低了系统冗余度。该算法首先根据循环前缀的特点,用ML算法完成符号同步和小数频偏估计;其次根据虚载波的位置偏移得到整数频偏估计。仿真表明,该算法能够实现符号同步和大范围的频偏估计、计算复杂度低、系统冗余度小,并且可用于快同步。     

信噪比辅助的OFDM系统剩余载波频偏估计算法

提出了一种适合无线衰落信道的剩余载波频偏估计新算法．该算法利用估计出的各个子信道信噪比,选择出高质量子信道,再利用这些高质量子信道上的判决数据,联合导频子载波上的数据共同估计剩余载波频率偏移．新算法具备导频辅助估计(PTA)算法和判决数据导向(DD)算法的优点．仿真结果表明,当平均信噪比大于10dB时,新算法的估计精度比PTA算法提高了至少3倍,比DD算法提高了至少20倍．     

利用沃尔什码扩频的MC-CDMA系统频偏估计算法

针对多载波码分多址(MC-CDMA)系统上行链路存在的多用户载波频偏问题,提出了一种利用沃尔什码进行扩频的载波频偏估计导频算法．该算法使用全1的沃尔什码作为专用扩频码,对频偏待估计用户的两个相同导频符号进行扩频; 在接收端,利用导频的专用扩频码码片与信息符号的扩频码码片不同的均值特性,得到频偏待估计用户的导频接收信号的近似成分,并从中利用辐角值提取方法得到载波频偏估计值．仿真结果表明: 在频率选择性衰落信道下,与基于信号子空间分解的自适应训练序列(ATS)算法相比较,该算法降低了计算复杂度,而且频偏估计的性能也很接近ATS算法,适用于系统在信息数据发送的过程中需跟踪频偏变化的场合．     

基于Zadoff-Chu序列的移动数字电视接收系统频偏估计算法

针对移动数字电视接收系统频偏估计算法存在的频偏估计均方差和误码率高等问题,提出了一种基于Zadoff-Chu （ZC）序列频偏估计算法。首先通过建立信号模型,利用仿真分析了载波频率偏差对接收系统影响;其次,信标结构中的两个同步信号以半周期形式选择ZC序列,1个导频符号序列由2个ZC序列构成。因此,接收端接收的2个符号是完全相同的ZC序列,通过对1个ZC序列半周期进行自相关运算并计算频偏值,即可以完成对整个周期符号的频偏估计。仿真结果表明,相比于其它算法,频偏估计均方差可降低20~30%,增益提升约2dB。     

基于并行FFT的OFDM符号定时与整数倍频偏联合同步算法

提出了一种适用于OFDM系统的符号定时同步与整数倍载波频偏（相对于子载波间隔归一化）联合同步算法,它仅采用包含一个OFDM符号的前导码来实现准确的符号定时和整数倍载波频偏估计。联合同步算法采用并行FFT算法结构,能够并行地在时域和频域对接收OFDM信号中的前导码进行并行搜索,在完成定时同步的同时给出子载波频偏的整数倍估计。计算机仿真结果表明在高斯白噪声信道以及瑞利衰落信道下,该联合同步算法在定时同步的准确性、抗噪声性能以及载波频偏估计的范围上要明显优于现有算法,并且由于采用了时频二维并行同步结构,使得联合同步算法具有更快的同步收敛速度。     

Joint pilot assisted and despread soft-output carrier synchronization for the burst DSSS system

Current carrier synchronization algorithms at extremely low signal to noise ratios (SNRs) for burst direct sequence spread spectrum communication systems are not very good at achieving a high estimation precision and wide estimation range at the same time. A joint pilot assisted and despread soft-output carrier synchronization algorithm is proposed in this paper. Based on a frame structure in which the pilot symbols are separated with data symbols, a coarse frequency offset estimation is first performed based on the averaging periodogram method with the help of pilot symbols, and a coarse phase offset estimation is obtained with the maximum likelihood algorithm, and then the phase of the received signals is compensated for each segment of pilot and data symbols. Next, a fine frequency offset estimation is carried out using the despread soft output; then the fine phase offset estimation is obtained. Simulation results show that at extremely low SNRs and with a fixed number of pilots, the performance of the algorithm is near the modified Cramer-Rao bound with high frequency offset estimation precision and wide frequency offset and phase offset estimation ranges. The bit error rate of the algorithm is close to the ideal performance.     

短突发传输系统的联合导频和迭代译码载波同步简

Considering the low estimation accuracy and small synchronization range of carrier synchronization algorithms in low signal to noise ratio (SNR) for short burst communication systems, a joint pilot and iterative decoding soft-output carrier synchronization algorithm is proposed. Firstly, the received pilot sequence is extracted and modulation is removed, with the modulation-removed signals made cross-correlated. Then the summation of all the correlation values is used to perform initial carrier parameters estimation. Secondly, the pilot sequence is reused with the soft-output information based on the extended Turbo decoder to obtain fine frequency and phase estimation values. Theoretical analysis and simulation results show that the coarse estimation algorithm can satisfy the requirements of the frequency estimation range and estimation accuracy, and preamble-middle pilot placement is optimal for a certain length of the data frame; The turbo decoder can obtain more reliable soft-output information with small residual frequency offset after initial coarse synchronization when the normalized frequency offset is less than 1.5×10^-3, with the joint pilot and soft-output of the decoder used to estimate fine carrier parameters, which can make the turbo code achieve optimal BER performance.     

Joint pilot and soft information assisted carrier synchronization for short burst SOQPSK signals

To solve the carrier recovery problem with large frequency offset in short burst communication systems using shaped-offset quadrature phase shift keying(SOQPSK), a joint pilot and demodulation soft information assisted carrier synchronization algorithm is proposed. First, coarse synchronization based on a few short pilot sequences is carried out. Then, further fine search is done around the coarse synchronization estimation region. The precise carrier synchronization parameters are obtained based on the maximum-mean-square soft output of SOQPSK. Simulation results show that at E_b/N₀≥0dB the proposed algorithm can eliminate large carrier offsets by as much as half the symbol rate, resist phase confusion and achieve effective carrier synchronization with 30 pilot bits and low computation complexity, achieving a BER performance which is very near the optimal coherent demodulation performance. When BER is in the region of 10^-2～10^-5, SNR degradation is below 0.3dB.     

非合作通信中MQAM的定时载波联合同步

针对非合作通信系统中多径信道下含有大符号率偏差的M进制正交振幅调制信号定时载波的同步问题,提出了一种基于改进加德纳算法的M进制正交振幅调制信号定时载波联合同步方法．该方法首先利用加德纳算法中频偏与算法输出值之间的关系,进行定时偏移估计与载波偏移粗估计;然后利用与其相差半个码元的定时误差检测输出值的绝对值差进行锁定;最后利用锁相环跟踪细微的频偏和相偏．仿真结果表明,在多径信道下,所提的定时偏移和载波偏移的联合估计方法具有良好的估计性能．     

新型的IEEE 802.11n联合符号定时同步与细频偏估计算法

在以MIMO-OFDM为基础的IEEE 802.11n无线局域网系统中,引入循环移位延时(CSD)以区分不同数据流上的数据,但也给同步带来了难题.若以训练序列与接收信号相关,造成的伪相关现象会导致定时不准,影响接收机的性能.为此,通过分析802.11n所定义的前导符号结构特点和CSD的影响,提出了新型的802.11n联合符号定时同步与细频偏估计算法.仿真结果表明,其优点是不受频偏的影响,并能较好地抑制前导符号运算中伪相关结果的产生,提高检测的准确度.     

Synchronization and channel estimation for MIMO OFDM wireless LAN systems

A new preamble structure is designed for wireless LAN based on MIMO OFDM systems, which can be used for both synchronization and channel estimation. Modulatable orthogonal polyphase sequence is utilized in training symbol design regarding its correlation properties. The time synchronization and channel estimation are achieved by measuring the correlation between the received training sequence and the locally generated training sequence. Repeated training symbols are used to get carrier frequency offset (CFO) estimation. It is shown from the analysis that the accuracy of frequency synchronization is close to the Cramér-Rao lower bound. The training sequences are optimal for channel estimation based on the minimum mean square error (MMSE).     

OFDM系统中基于导符号和判决数据的频偏估计

正交频分复用系统中为进行信道估计通常在OFDM符号中插入导符号,对利用这些导符号进行频偏估计的方法做了进一步研究. 在时域和频域都重新推导了估计结果,经过合理近似,得到时域最大似然估计的近似解;在频域推导了另一种形式的似然函数,得出最大似然估计的解析表达式. 新算法降低了计算量,提高了频偏估计精确度. 同时,对利用导符号并结合判决数据进行频偏估计的算法也做了研究,判决数据的使用可以使估计结果更加精确.     

深空通信系统中高阶LDPC码的软定时同步算法

深空通信具有信号衰减严重,接收机信噪比低的特点,针对深空通信系统中高阶LDPC码定时同步实现困难的问题,提出一种码辅助定时同步算法．首先使用高阶LDPC码的译码软信息构造一种代价函数,进行大定时偏移的粗同步,其次基于最大似然准则,使用EM算法进行定时偏移的细同步．该算法将定时同步器、解调器与译码器联合迭代,利用高阶LDPC译码器输出的软信息辅助定时同步,并通过数字插值方式对过采样信号进行补偿,从而得到接近修正克拉美罗限的定时估计．仿真结果表明,在低信噪比条件下,算法能够在较大定时偏移范围内实现有效的定时同步,并以较低的复杂度获得近似理想的系统误码率性能．