复值的MBER非线性均衡器用于QAM信号

本文提出一种复值的最低误码率非线性滤波器用于非线性信道中QAM信号的均衡.推导了针对QAM信号的最低误码率准则训练算法的目标函数,并用Voherra序列来实现复值的非线性均衡器.为使非线性均衡器能在线自适应训练并增加训练算法的数值稳定性,提出～种滑窗随机梯度算法.大量仿真表明,对于非线性信道中QAM信号的均衡,最低误码率非线性均衡器的性能优于最小均方误差准则.     

Tight Bounds on the Error Probabilities of Decision Feedback Equalizers

A decision feedback equalizer (DFE) with correct tap weights operating on a noisy channel is considered. We show how the results concerning a noiseless channel can be extended to yield tight bounds on the stationary error probability performance for the noisy case. The effect of noise on DFE performance is classified according to the noise distribution and the channel parameters.     

基于DD-LLMS算法的盲自适应判决反馈均衡器

本文把用于自适应线性滤波器的LLMS算法推广到盲判决反馈均衡器,并应用于短波信道的盲均衡。仿真结果表明这种DD—LLMS盲判决反馈均衡算法具有很好的稳定性、较快的收敛速度和较好的跟踪性能。     

The Stability of Adaptive Minimum Mean Square Error Equalizers Using Delayed Adjustment

The necessary and sufficient conditions for the stability and convergence of adaptive minimum mean square error equalizers are developed. The analysis includes the effect of delays in the adjustment path, as occur, for instance, when the decoder in a data transmission system delays its output decisions.     

基于JUMMSE准则的前向分数间隔判决反馈均衡器

研究了前向分数间隔判决反馈均衡器的原理与结构,并推导了基于联合无偏差MMSE(JUMMSE)准则设计的最优解。文中讨论了均衡器长度对误符号率(SER)性能的影响。仿真结果表明,在较高的信噪比、选择恰当的均衡器长度时,这种均衡器对于高频信道的均衡效果是显著的。     

Error Recovery of Decision Feedback Equalizers on Exponential Impulse Response Channels

In this correspondence we determine an upper bound on the error recovery time of a decision feedback equalizer (DFE) operating on a high signal to noise ratio channel of exponential impulse response to be used for binary transmission. This bound is related to the channel time constant and we show that exponential impulse response channels form a favourable class of channels with regard to DFE error recovery properties.     

Minimum Mean-Square Error Timing Recovery Schemes for Digital Equalizers

Two algorithms are presented for optimum timing recovery in digitally implemented equalizers. The first one is a polarity-type algorithm based on the conventional minimum mean-square error criterion. A theoretical analysis is made to characterize the algorithm phase detector and evaluate its steady-state phase jitter variance. Influence of various channel and system design parameters on the algorithm performance is illustrated using phase jitter probability densities obtained by means of computer simulations. Interaction of the algorithm with decision-directed carrier recovery is also examined. It is shown that interaction with carrier recovery may considerably degrade the timing acquisition performance, and a second algorithm is then presented which eliminates this interaction. The second algorithm is based on the minimization of a modified mean-square error criterion which provides a measure of the intersymbol interference, independently of the carrier phase. Decision-directed timing and carrier recoveries are thus decoupled and the system startup period is considerably reduced. Phase detector characteristic and steady-state jitter performance of the second algorithm are evaluated by analytical means and computer simulations, as in the first algorithm.     

基于最低误码率准则及Volterra序列的几何特征均衡器

针对通信系统中带内噪声及干扰的滤波问题,提出一种基于最低误码率准则的非线性几何特征均衡器.考虑到噪声与干扰具有不同的统计特性,本文所建立的均衡模型把匹配滤波器输出映射到特征空间,使信号与干扰在特征空间形成不同的几何特征,再用Volterra序列予以分离,而分离是基于最低误码率准则.仿真表明:对于扩展的二元相移键控信号,在相对强的调频信号、调幅信号及噪声的联合干扰下,匹配滤波器和基于最小均方误差准则的线性均衡器均已失效,而几何特征均衡器仍能表现出良好的性能,并且基于奇次三阶Volterra序列的几何特征均衡器更具实用价值.     

基于最低误码率准则的奇次三阶Volterra均衡器用于干扰抑制

该文针对通信系统中的干扰抑制问题,提出一种基于最低误码率准则的Volterra均衡器.区别于以往研究中采用最小均方误差准则估计Volterra核,本文采用最低误码率准则.仿真表明:对于扩展的二元相移键控信号,在相对强的窄带干扰下,匹配滤波器和基于最小均方误差准则的线性均衡器已失效,而基于最低误码率准则的Volterra均衡器仍能表现出良好的性能,也大大优于最小均方误差准则的Volterra均衡器;并且在计算复杂度与误码率性能的权衡中,奇次三阶Volterra均衡器更有实用价值.     

基于混合递阶遗传算法的判决反馈RBF网络信道均衡器设计

针对判决反馈RBF网络信道均衡器的结构特点,提出了一种混合递阶遗传算法,对网络隐层结构以及径向基函数中心和宽度采用递阶结构联合编码并分层次进行遗传操作,不仅可以确定隐层节点参数,同时也可以确定隐层节点数, 解决了网络拓扑结构的优化设计问题;将网络参数空间划分为线性空间和非线性空间分别进行优化训练,简化了递阶遗传操作空间,加速算法收敛。     

Minimum Mean-Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems

In this paper we propose minimum mean squared error (MMSE) iterative successive parallel arbitrated decision feedback (DF) receivers for direct sequence code division multiple access (DS-CDMA) systems. We describe the MMSE design criterion for DF multiuser detectors along with successive, parallel and iterative interference cancellation structures. A novel efficient DF structure that employs successive cancellation with parallel arbitrated branches and a near-optimal low complexity user ordering algorithm are presented. The proposed DF receiver structure and the ordering algorithm are then combined with iterative cascaded DF stages for mitigating the deleterious effects of error propagation for convolutionally encoded systems with both Viterbi and turbo decoding as well as for uncoded schemes. We mathematically study the relations between the MMSE achieved by the analyzed DF structures, including the novel scheme, with imperfect and perfect feedback. Simulation results for an uplink scenario assess the new iterative DF detectors against linear receivers and evaluate the effects of error propagation of the new cancellation methods against existing ones.     

一种基于最小误码率的OFDM自适应比特及功率分配算法

OFDM自适应调制技术根据各子载波在频率选择性衰落信道中不同的瞬时增益,动态地分配数据比特和发射功率,可以优化系统性能,提高频谱效率。该文主要研究OFDM系统发射功率和传输比特数不变时误码率最小化的自适应(MA)算法。提出一种以注水门限为迭代参数的MA算法,并引入有记忆步长迭代法,提高算法的稳定性。仿真结果表明,与过去的算法相比,该算法能以较低的复杂度获得更好的性能。     

Recovery Times of Decision Feedback Equalizers on Noiseless Channels

The performance of decision feedback equalizers (DFE's) working on a noiseless channel with correct tap weights is studied. We show that the space of channel parameters can accordingly be partitioned into a finite number of sets. The error recovery performance of a DFE is the same for all DFE's within one such set, and is determinable. We also discuss some tight bounds for recovery time statistics, which are particularly important when the number of equalizer taps is not small. We argue that minimum phase or near minimum phase character for the channel does not necessarily guarantee short recovery time.     

对色散信道的预编码-判决反馈均衡联合最优设计

本文提出了利用滤波器组预编码及判决反馈均衡对色散信道实现收/发联合最优设计的方法.该方法以最大互信息量为设计准则,在固定发送功率约束条件下得到了新的设计结果.证明了预编码器使频率选择性信道等价为一组独立的平坦衰落子信道,且后向反馈滤波器等价为一条直通子信道,结论表明系统各子信道的信噪比与采用线性均衡结构的结果相比有所增加,从而使系统具有更低的误码率性能.文章通过仿真验证了该结论     

雷达高度表最小均方误差拟合高度估计算法研究

针对采用波门分裂法和半功率点法的传统雷达高度表,受噪声和地面各散射单元散射起伏的影响较大,进而影响高度估计的精度问题。文中提出了采用最小均方误差拟合高度估计算法,该算法基于地面回波解析模型,充分利用地面回波能量进行最小均方误差拟合高度估计,从而提高高度估计精度。仿真结果表明,在不同高度上,最小均方误差的精度均优于波门分裂法和半功率点法,降低了噪声和地面散射起伏对高度估计精度的影响。     

均方误差短时反馈算法的残余频偏纠正及阈值选取的研究

介绍了一种在全数字接收机中基于最小均方误差的残余频偏矫正算法,目的是改善由于残余频偏累积引起的误码率的加剧,以及通过利用最小均方误差判定准则确定判决门限值的大小.此种算法通过均方误差准则探测分析有无残余频偏,再利用短时反馈算法进行残余频偏的矫正.重点介绍了残余频偏矫正的算法和判决门限值的选取.矫正后误码率明显下降,码元质量得到有效改善.     

一种基于最小均方误差准则的联合多小区信道估计算法

信道估计的准确程度直接影响到联合检测算法的性能。传统的信道估计算法将其他小区用户的信号均作为白噪声来处理,因此影响了信道估计的准确性。该文提出基于最小均方误差准则的联合多小区信道估计算法,由于改变了信道估计矩阵的结构,将邻小区强干扰用户也作为可以检测的用户信号来处理,降低了信道估计中噪声功率。该算法不仅适用于多小区联合检测,也可用于单小区联合检测。与传统的Steiner信道估计算法相比,新算法在存在邻小区同频干扰的情况下,能够很大程度提高信道估计的精度,进而大幅提升TD-SCDMA系统的性能。     

基于最小误码率准则的多载波CDMA系统多用户检测算法

本文介绍了一种将正交频分复用(OFDM)技术和码分多址(CDMA)技术相结合的多载波CDMA (MC-CDMA)系统,分析了MC-CDMA系统的发射端和接收端的结构,建立了MC-CDMA系统的信号模型,详细分析了MC-CDMA中的多址干扰形式,以及针对MC-CDMA系统的多用户检测原理,提出了一种基于最小误码率准则的多用户检测算法。理想的基于最小误码率准则的多用户检测算法在实际中难于实现,本文采用估计概率密度函数的方法,推导出了一种自适应实现的最小误码率多用户检测算法。仿真结果表明,该算法能够有效抑制多址干扰,降低误码率,同时,该算法还具有比基于最小均方误差准则的多用户检测器更低的误码率的优点。      

运用误差反馈的判决反馈均衡器的性能分析

判决反馈均衡器（Decision Feedback Equalizer，DFE）能补偿具有严重符号间干扰（Inter Symbol Interference，ISI）的信道，且不存在线性均衡器增强噪声的影响。而在其基础上改进的运用误差反馈的DFE，可利用误差反馈滤波器来减少传统DFE中存在的误差信号的相关性，同时其硬件实现的复杂度没有明显提高。理论分析和仿真表明，这种方法比传统的DFE更有效，特别是针对信道有严重符号间干扰的情况。     

一种改进型MMSE语音增强方法

本文提出了一种改进型语音短时谱最小均方误差(MMSE)估计的增强方法。通过在每一帧及帧内每一频点对无音的概率(SAP)进行估计,得到Ephraim和MalahMMSE估计算法的改进形式。对增强后的语音客观和主观测试表明:在低信噪比条件下,相对于传统的谱减法和MMSE估计方法,这种改进的方法能更好的抑制背景噪声和残留的“音乐噪声”。