复杂环境下基于噪声匹配的最大多普勒频移估计

本文针对城市复杂信道环境下的最大多普勒频移估计需求,根据莱斯衰落信道中电平通过率(LCR)算法的理论推导,提出了一种基于噪声匹配的最大多普勒频移估计算法.所提算法通过对接收信号进行低通滤波处理,实现干扰噪声与多普勒检测器之间的匹配,从而有效提高最大多普勒频移的估计性能.而且基于莱斯衰落信道下最佳滤波比值的分析和推导,得...     

一种新的CDMA2000信道估计方法

文章分析了非连续导频情况下CDMA2000反向信道结构，针对CMDA2000反向信道中导频信道与功控子信道时分复用情况，提出了一种基于判决反馈的信道估计方法。最后用COSSAP软件对此方法进行了仿真，仿真结果表明该方法能有效的估计出插入功控比特导频情况下的信道参数。     

LEO卫星信道多普勒频移估计与补偿

为削弱LEO卫星信道的时间选择性衰落,提出了一种多普勒频移估计与补偿方法。基于差分相关检测器,从中频信号提取下行信号中的多普勒频移信息,然后利用A/D和DSP进行相应地采集与处理。用得到的多普勒频移估计实时调节接收机本振频率,实现对下行信号的多普勒频移补偿,同时计算出上行多普勒频移并进行补偿。该方法无需符号同步,特别适合于超过符号速率的多普勒频移估计。     

OFDM移动通信系统中的最大多普勒估计

提出了一种基于信道估计自相关函数的多普勒频移估计算法.在OFDM符号数据段前插入正交可变扩频因子(OVSF)序列,求出时域的信道冲激响应,利用信道冲激响应的自相关实现多普勒频移估计.仿真结果表明,该算法可以在较大多普勒频移范围内有效地估计出多普勒频移.     

CDMA2000导频辅助的信道估计方法研究

文章分析了非连续导频情况下CDMA2000反向信道结构，针对CDMA2000反向信道中导频信道与功控子信道时分复用情况，研究了四种信道估计方法，分别是重复使用、判断校正及其改进方法、最小二乘插值。最后用COSSAP软件对这四种方法的性能进行了比较，仿真结果表明改进的判别校正和最小二乘插值方法能有效的估计出插入功控比特导频情况下的信道参数。     

多普勒域上稀疏的双向中继信道估计

信道估计技术作为获得信道衰落信息的方法,是提高无线信道传输接收性能的关键技术。本文针对放大转发双向中继系统的时间选择性平坦衰落信道,利用信道在多普勒域的稀疏性进行压缩信道估计。相比于传统的线性估计方法,压缩信道估计考虑了信道的固有稀疏性,降低了导频的开销,改善了信道估计性能,提高了频谱利用率及系统吞吐量。文中通过对双向中继信道进行多普勒域的稀疏建模,仿真分析了信道估计性能随着导频数量增加、信噪比增加,得到不断改善;而不同的导频分布将影响观测矩阵的相关度,从而对信道估计产生影响。仿真表明,当导频随机分布时,信道估计效果最佳。同时,文中还仿真分析了最大多普勒频移对信道估计性能的影响。      

多普勒频移测量方法研究

多普勒频移是表征多径衰落信道时变特性的重要参数。从实测角度出发,根据多普勒功率谱与信道时间差相关函数之间的傅里叶变换关系,提出了一种基于接收信号电平测量的多普勒频移测量方法。开发了相应的数据处理软件,将测量数据以直观的图形表示出来,利用此测量方法在多条野外线路上进行了多普勒频移测量,获得了较精确的数值,为进行多径衰落信道下通信系统的合理设计起到了重要作用。     

基于数据样本方差的正交频分复用水声通信多普勒频移估计方法

针对正交频分复用(OFDM)水声移动通信易受时变多普勒频移影响的缺点,该文提出一种基于数据样本方差的多普勒频移估计方法。利用前序符号的信道估计值恢复当前符号的有效数据序列及其频域分集副本,计算分集副本与数据序列的比值并搜索该比值序列在不同多普勒补偿因子下的方差,选取方差最小时对应的补偿因子作为多普勒频移估计值,利用稀疏贝叶斯学习和判决反馈信道估计算法获得修正后的信道频域响应并传递给后序符号,实现对多普勒频移的实时跟踪。数值仿真验证了该方法的可行性和优越性,海上试验证明,该方法实现了基于无人水下航行器的OFDM水声移动通信,能够对时变多普勒频移进行有效估计。     

NGB-W中二次一维维纳滤波信道估计算法性能分析

在下一代广播电视网无线系统(NGB-W)接收机中,采用了二次一维维纳滤波信道估计算法.本文研究了该信道估计算法的性能与滤波器阶数及信道多普勒频移的关系.通过Cocentric System Studio(CCSS)平台进行仿真,得到不同滤波器阶数和不同多普勒频移下信道估计的均方误差.仿真结果表明,TU6信道环境下,采用二次一维维纳滤波算法进行信道估计时,提高滤波器的阶数,尤其在高多普勒频移信道下,信道估计性能会得到相应的提高.     

正交频分复用信道估计的隐藏导频法

正交频分复用系统具有简单的单抽头频域均衡，在均衡之前需要完成信道估计。本文提出一种基于隐藏导频序列的信道估计方法，只要利用接收信号一阶统计信息就可估计出信道信息。这种半盲的信道估计方法具有简单的信道估计和均衡，而且不占用频谱资源。仿真结果表明本方法能有效进行信道估计，并得到了隐藏序列的最佳能量值。     

扩频码快速捕获的瞬时相关谱估计法

该文提出了一种低信噪比大多普勒频移条件下扩频码快速捕获的方法,该方法依据回波信号与本地扩频码瞬时相关谱上的显著峰值的存在性判决信号的存在性,与前人的方法相比,该方法在简化了系统复杂性的同时保持了并行多通道最优接收机的性能。     

Low-Complexity Map Channel Estimation for Mobile MIMO-OFDM Systems

This paper presents a reduced-complexity maximum a posteriori probability (MAP) channel estimator with iterative data detection for orthogonal frequency division multiplexing (OFDM) systems over mobile multiple-input multiple- output channels. The optimal MAP estimator needs to invert an NN_T x NN_T data-dependent matrix each in OFDM symbol interval, where N is the number of subcarriers and N_T is the number of transmit antennas. We derive an expectation maximization (EM) algorithm with low-rank approximation to avoid inverting large-size matrices, and thus drastically reduce the receiver complexity. In the iterative process, channel parameters are initially obtained by a least square (LS) estimator for temporary symbol decisions. Then, inter-carrier interference (ICI) due to fast fading is approximated and canceled. Finally, the temporary symbol decisions and the ICI-canceled received signals are processed by the EM-based MAP estimator to refine the channel state information for improved detection. The proposed scheme achieves about 2 dB gain over the LS scheme in channels with medium to high normalized Doppler shifts.     

FRFT-OFDM系统中FRFT域变换角度的估计

针对FRFT-OFDM(分数阶傅里叶域的正交多载波)系统,该文提出了一种基于信道时变传输函数的FRFT域角度参数的估计算法。该算法利用信道的时变传输函数,对信道的G-特征函数中时变频率和时间的关系进行了线性近似,理论分析和仿真都表明,相对于已有的角度参数估计方法,该方法具有较低的复杂度,在子载波个数为128的系统中,该方法比传统方法复杂度可降低104数量级。该方法适用于信道时变性较强、多普勒频偏较大的场合。     

OFDM系统中基于恒模的盲信道估计算法

该文提出了一种适用于采用PSK调制方式的正交频分复用(OFDM)系统的准盲信道估计算法。该算法首先利用系统信号的恒模特性得到有限个可能的信道,然后利用信号的有限字符特性从可能信道中寻找出最佳信道,因而具有较低的计算复杂度。与现有的盲信道估计算法不同,该算法利用二阶统计量而不是高阶统计量估计信道,获得了较好的估计性能。仿真结果表明,该算法的性能优于基于有限字符特性的盲信道估计算法。     

Robust Design of Pilot-symbol-aided MIMO Channel Estimation

1　Introduction　Thenextgenerationbroadbandwirelesscommunica tionsystem (4G )willprovidemorekindsofservicewithhigherdatarateandbetterperformance .Howev er ,physicallimitationsonwirelesschannelspresentafundamentaltechnicalchallengetoreliablecommunica tion .Fortunately ,accordingtothedevelopedShannontheory[1～ 8] ,MIMOsystemsenablehighspectraleffi ciencyandsignificantlyimprovethe performanceofwirelesscommunicationsystemsinfadingenviron ments .　Ingeneral,MIMOchannelcapacityisachievedbyusings…     

Doppler Spread Estimation for Broadband Wireless OFDM Systems Over Rician Fading Channels

In this paper, we present a new Doppler spread estimation algorithm for broadband wireless orthogonal frequency division multiplexing (OFDM) systems with fast time-varying and frequency-selective Rayleigh or Rician fading channels. The new algorithm is developed by analyzing the statistical properties of the power of the received OFDM signal in the time domain, thus it is not affected by the influence of frequency-domain inter-carrier interference (ICI) introduced by channel variation within one OFDM symbol. The operation of the algorithm doesn’t require the knowledge of fading channel coefficients, transmitted data, or signal-to-noise ratio (SNR) at the receiver. It is robust against additive noise, and can provide accurate Doppler spread estimation with SNR as low as 0 dB. Moreover, unlike existing algorithms, the proposed algorithm takes into account the inter-tap correlation of the discrete-time channel representation, as is the case in practical systems. Simulation results demonstrate that this new algorithm can accurately estimate a wide range of Doppler spread with low estimation latency and high computational efficiency.     

A time-domain estimation method of rapidly time-varying channels for OFDM-based LTE-R systems

This paper addresses the performance of fast doubly selective fading channel estimation combined with Inter-Carrier Interference (ICI) cancellation for Long Term Evolution (LTE) communication platform in the High Speed Railway (HSR) environment. We consider the Channel Impulse Response (CIR) coefficients with a critical Doppler frequency shift and multi-path fading that were taken from the WINNER II channel model and the D2a propagation scenario, where the conditions of HSR are analyzed. As multi-path fading increases and the channel varies in the order of the symbol period, we first propose a novel approach for designing a pilot symbol structure in the time domain. Then, we describe the deployment of the proposed pilot symbol structure to estimate the channel in the time domain. Channel information corresponding to the data positions is obtained by linear interpolation. In each OFDM symbol, the slope and the initial value for establishing an interpolation function are estimated to adapt to the time variation of the channel. An accurate estimate of channel state information is used for the purpose of ICI cancellation. The simulation results show that the channel estimated by our proposed method can follow the real channel well, even in a very high Doppler frequency. The estimation method in terms of Mean Squared Error (MSE) significantly outperforms the state-of-the-art methods. The combination of our channel estimator with several interference cancelers provides a considerably better system performance than that achieved when frequency channel estimation is used.     

无线信道中M元（D）PSK信号的多普勒相移估值与校正

本文提出了一种新的无线信道中Ｍ元（Ｄ）ＰＳＫ信号的多普勒相移估值与校正方案，分析了性能，展示了该估值器和校正器的分析和计算机模拟结果，并分析了校正后的误码特性。理论分析和模拟结果表明，该方法是一种有效的多普勒相移估值和校正方法。     

Improved channel estimation and SIR measurement in WCDMA downlink systems

The rake receiver performance of a direct-sequence code-division multiple-access (DS-CDMA) system can significantly be degraded unless the channel condition is properly estimated. Since the channel condition is time-varying and location-dependent, it is desirable to employ an adaptive channel estimator (ACE) that can properly adjust the bandwidth of the channel estimation filter (CEF) according to the channel condition such as the maximum Doppler frequency. To this end, we propose low-complexity ACE and signal-to-interference power ratio (SIR) estimator for wide-band CDMA downlink systems with and without the use of transmit antenna diversity. The proposed schemes adjust the bandwidth of the CEF by exploiting the correlation characteristics of the received pilot signal. The analytic design is verified by computer simulation. Simulation results show that the proposed ACE and SIR estimator can significantly improve the link performance for a wide range of channel condition, particularly when the channel condition is poor.     

A new adaptive equalizer with channel estimator for mobile radiocommunication

For unknown mobile radio channels with severe intersymbol interference (ISI), a maximum likelihood sequence estimator, such as a decision feedback equalizer (DFE) having both feedforward and feedback filters, needs to handle both precursors and postcursors. Consequently, such an equalizer is too complex to be practical. This paper presents a new reduced-state, soft decision feedback Viterbi equalizer (RSSDFVE) with a channel estimator and predictor. The RSSDFVE uses maximum likelihood sequence estimation (MLSE) to handle the precursors and truncates the overall postcursors with the soft decision of the MLSE to reduce the implementation complexity. A multiray fading channel model with a Doppler frequency shift is used in the simulation. For fast convergence, a channel estimator with fast start-up is proposed. The channel estimator obtains the sampled channel impulse response (CIR) from the training sequence and updates the RSSDFVE during the bursts in order to track changes of the fading channel. Simulation results show the RSSDFVE has nearly the same performance as the MLSE for time-invariant multipath fading channels and better performance than the DFE for time-variant multipath fading channels with less implementation complexity than the MLSE. The fast start-up (FS) channel estimator gives faster convergence than a Kalman channel estimator. The proposed RSSDFVE retains the MLSE structure to obtain good performance and only uses soft decisions to subtract the postcursor interference. It provides the best tradeoff between complexity and performance of any Viterbi equalizers