基于DFT的短波OFDM系统信道估计改进算法

传统的DFT算法利用信道估计冲击响应的长度小于循环前缀长度的原理,滤除了循环前缀码长度以外的噪声,循环前缀内的估计值仍存在噪声,结合传统DFT信道估计算法,提出了一种短波OFDM系统的基于DFT的改进信道估计算法,此算法首先进行传统的DFT信道估计算法,滤除部分噪声信号。再根据信道脉冲响应的幅值选取幅值最大的Ng/2个信号作为有用信号,然后用DFT得到的估计值的平均值替换其余Ng/2个信号,最后得到基于DFT改进算法的信道估计信号。仿真结果表明该算法性能有很大提高。     

基于变换域的OFDM信道估计算法分析

首先对目前OFDM系统中常用的信道估计算法进行了介绍,其次对离散采样信道做出说明,并以此为基础,着重分析传统的基于离散傅里叶变换的信道估计滤波算法,即对接收导频LS(最小二乘)算法估计,通过IDFT转换到时域滤波后,由DFT转换到频域获取信道系数.最后给出了一种基于变换域滤波估计算法.由理论分析和工程实践平台中的仿真验证得出,基于提出的滤波矩阵,此DFT变换域算法性能较传统的DFT滤波方法有较大提升.     

基于DFT的OFDM系统信道估计改进算法

基于DFT的信道估计算法计算复杂度比MMSE算法低,性能比LS算法好.但是传统的基于DFT的信道估计只消除了信道冲击响应估计中循环前缀长度之外的噪声,循环前缀长度内的噪声并没有得到抑制,因此算法性能还有提高的空间.本文提出了一种改进的基于DFT的信道估计算法.算法首先估计出噪声方差,然后利用噪声方差设定一个门限,通过此门限对循环前缀内的信道时域冲击响应值进行阈值,进一步消除噪声的干扰.仿真证明,本文的改进信道估计算法性能优于原算法.     

OFDM中基于导频的DFT的信道估计算法改进的研究

传统的DFT信道估计算法性能比LS算法好,且复杂度也较低,但是这种算法经存在着三点问题:基于导频的DFT变换域的信道估计算法只有当多径信道的时延扩展为采样间隔的整数倍时,才能提高所估计信道响应的准确性.其次,DFT具有隐含周期性,如果原始数据序列首尾两端不连续,直接进行DFT必然会产生额外的高阶分量.最后,DFT信道估...     

OFDM分集接收系统上行链路信道估计研究

对采用时频块组帧的OFDM(正交频分复用)上行链路信道估计进行了研究,给出了基于二维DFT(离散傅里叶变换)的信道估计算法,针对传统二维信道估计方法的边缘效应提出了一种改进办法,即采用分块拟合的方法对信道曲面边缘部分进行补偿估计。仿真表明,改进的二维DFT信道估计方法可以有效地消减边缘效应,从而获得更好的系统性能。     

非采样间隔信道的LTE上行信道估计新方法

为了解决非采样间隔信道的冲激响应能量泄漏和低信噪比下高斯白噪声的干扰问题,采用一种将小波去噪技术与改进的基于DFT的估计方法相结合的LTE上行系统信道估计的新方法。仿真结果表明,基于部分加权估计的时间窗函数的正确选择能有效地改善原有方法在高信噪比下的地板效应,与小波去噪结合能有效提高低信噪比下的信道估计性能。     

MB—OFDM UWB系统中的信道估计算法研究

在典型的UWB室内信道模型下,分析基于块状训练序列的信道估计算法.然后结合MB-OFDMM系统中时频编码的特性,提出一种结构简单的信道估计算法.Simulink仿真结果表明该算法比LS和基于DFT变换芋的算法估计效果都要好,同时具有结构简单,,复杂度低等特点.     

一种适用于DCO-OFDM系统的DFT信道估计算法

针对直流偏置光正交频分复用系统中传统离散傅里叶变换(DFT)信道估计算法运算复杂度高和循环前缀(CP)内存在非有效信道系数的问题,提出厄米特对称的DFT(H-DFT)阈值改进信道估计算法.首先,根据信道时域响应变换到频域满足厄米特对称的性质,只需对有效子载波的信道频域响应做厄米特对称即可获得全部子载波的信道频域响应;其...     

基于分数低阶矩的非整数时间延迟估计方法

依据信号的噪声特性和分数低阶矩理论,提出一种基于最小平均p范数的非整数时间延迟估计方法(称为LMPFTDE算法)。该算法是对直接估计非整数采样间隔的时间延迟估计算法(ETDGE)的广义化,运用最小分散系数准则,通过使误差的p阶矩最小得到非整数时间延迟估计值。理论分析和计算机仿真结果都表明该方法不仅可以在高斯噪声环境下工作,而且在脉冲噪声下也具有良好的健壮性。     

一种基于LMS滤波的OFDM系统信道估计方法

提出了一种适用于OFDM系统的最小均方(LMS)滤波的信道估计算法,对发送序列中导频位置的信道响应进行LMS滤波,进一步得出所有子载波上的信道响应。仿真结果表明,该方法同基于离散傅里叶变换(DFT)的信道估计算法相比,改善了估计的均方误差(MSE)和误码率(BER)性能。     

Mode dependent down-sampling and interpolation scheme for high efficiency video coding

In this paper, a mode dependent down-sampling and interpolation scheme is proposed to improve the coding efficiency of the intra prediction module. In the proposed method, we elaborately design the down-sampling structures and interpolation schemes for each directional intra prediction mode by minimizing the spatial prediction distance. The sampled pixels are predicted with a traditional directional intra prediction scheme, and the non-sampled pixels are predicted from the interpolation of their neighboring reconstructed sampling pixels. Both the residuals of the sampled and non-sampled pixels are encoded at last. Experimental results show that the proposed method achieves an average 7.52% bitrate reduction relative to KTA reference software. Since the down-sampling structure and interpolation method is only related to the intra mode, there is no additional overhead at the encoder.     

基于线性预测的盲最小均方误差均衡器

盲过采样均衡器仅用二阶统计量便可减小码间干扰,该文采用线性预测方法,提出了一种盲最小均方误差(MMSE)均衡器。该方法不需要先估计信道,可直接利用过采样的接收信号均衡信道。此外,该均衡器可采用递推最小二乘算法自适应地实现,具有较高的计算效率。仿真结果表明,该均衡器比基于线性预测的盲置零均衡器有更小的符号估计均方误差。     

Blind equalization and estimation of FIR communications channelsusing fractional sampling

We consider the problem of blind estimation and equalization of digital communication finite impulse response (FIR) channels using fractionally spaced samples. Fractionally sampled data are cyclostationary rather than stationary. The problem is cast into a mathematical framework of parameter estimation for a vector stationary process with single input (information sequence) and multiple outputs, by using a time-series representation of a cyclostationary process. The channel parameters are estimated by first estimating various subchannels using the second- and the fourth-order cumulant function of the received data, and then appropriately aligning and scaling them. The estimated channel impulse response is then used to construct a linear equalizer. Two illustrative simulation examples using four- and 16-QAM signals are presented where effect of symbol-timing-phase offset is studied via simulations     

Nonminimum phase channel deconvolution using the complex cepstrumof the cyclic autocorrelation

New discrete time blind deconvolution methods are proposed for nonminimum phase linear channels driven by cyclo-stationary inputs. The methods rely exclusively on second-order statistics and do not impose any constraints on the distribution of the channel input as in the case of methods based on higher-order statistics. The output of the channel is fractionally sampled and then the complex cepstrum of the cyclic autocorrelation is obtained. It is shown that this complex cepstrum preserves nonminimum phase information and thus the identification of nonminimum phase channels is possible. Practical constraints in the implementation of the methods and channel identifiability conditions are discussed. The applicability of the methods to both channel identification and fractionally spaced linear and DFE equalization is described and verified by means of computer simulations     

非周期扩频的同步CDMA系统下行信道的分数阶间隔信道估计

使用正交扩频码的同步CDMA系统具有对抗同信道干扰的能力,但是多径传播导致信号失去正交性,互相关值增加。在这些情况下,需要对信道进行估计以提高接收机检测性能。以往的基于子空间的CDMA信道估计算法都是在chip速率采样的基础上得到的,其条件是接收信号满足Nyquist定理且信道是最小相位系统,这些条件在实际情况中是很难满足的。该文提出一种应用于非周期扩频的同步CDMA系统的下行信道的分数阶间隔信道估计的算法。计算机仿真表明了算法是有效的。     

On blind identifiability of multipath channels using fractionalsampling and second-order cyclostationary statistics

The problem of blind identifiability of digital communication multipath channels using fractionally spaced samples is considered. Fractionally sampled data are cyclostationary rather than stationary. The problem is cast into a mathematical framework of parameter estimation for a vector stationary process with single input (information sequence) and multiple outputs, by using a time-series representation of a cyclostationary process. A necessary and sufficient condition for channel identifiability from the correlation function of the vector stationary process is derived. This result provides an alternative but equivalent statement of an existing result. Using this result, it is shown that certain class of multipath channels cannot be identified from the second-order statistics irrespective of how the sampling rate is chosen     

基于统一混沌系统的参数调制新方法

本文提出一种基于统一参数混沌系统的参数调制新方法.该方法根据统一参数混沌系统的特点,在发送端,用数字信息连续调制统一混沌系统的一个参数,使混沌系统的吸引子不断变化,数字信息信号直接隐藏在混沌系统的状态变量中.信道中传输混沌系统的状态变量.在接收端,对接收到的混沌状态变量进行间歇采样,并与接收端的混沌系统的状态变量进行误...     

Fractionally sampled decorrelator for CDMA Rayleigh fading channels

A coherent multiuser decorrelating detector for an asynchronous CDMA, time-varying Rayleigh fading channel is proposed and analysed. The detector uses fractionally sampled correlators outputs at time instants corresponding to users relative delays to simultaneously achieve two goals: the novel realisation of a one-shot decorrelator with lower computational complexity; and to exploit a form of the time diversity for improved error performance compared to symbol spaced sampling     

直接盲MMSE均衡算法在散射通信中的仿真研究

多径效应造成的符号间干扰是大容量散射传输所遇到的首要问题.根据文献中提出的基于二阶循环统计量的直接盲均衡算法,依据最小均方误差准则,对接收到的信号进行过采样,构造了一个线性的分数间隔均衡器,并用它来均衡对流层散射信道,获得了较好的均衡效果.由于该算法不经过信道盲辨识而直接均衡信道,因此受信道阶教误差的影响较小,且该算法与传统的基于二阶矩的两步均衡算法相比,具有计算简单,精度高的特点.     

The effect of fading and shadowing on channel reuse in mobile radio

Co-channel interference probabilities are calculated for mobile radio systems operating in a Rayleigh fading lognormal shadowing environment with inverse fourth power law dependence of area mean signal level on range. Interference levels are shown to be high even with generous reuse distances. The results are used to calculate spectrum utilization using reasonable but tentative estimates of protection ratio and channel spacing for SSB systems. On this basis SSB offers a higher spectral efficiency than current 25 kHz spaced FM systems.