一种新型自适应均衡算法—RLS结合型算法

本文根据RLS算法和自适应均衡的特点,提出了一种新的自适应均衡算法——RLS结合型算法,并通过在短波信道上模拟判决反馈均衡器(DFE)研究了其性能。新算法是这样工作的:在训练方式,采用RLS算法;在传输方式,采用近似RLS算法。分析和计算机模拟结果表明:新算法的收敛速度和RLS算法一样快,稳定性和计算效率均优于RLS算法。     

递归神经网络自适应均衡抗突发干扰研究

短波信道的突发干扰对判决反馈递归神经网络自适应均衡器有破坏作用并能导致均衡器失效,从而影响整个通信系统的连续性。本文对突发干扰时判决反馈递归神经网络自适应均衡器特性进行了分析,提出了2种改进算法。仿真结果证明了这2种改进算法的有效性。     

基于多用户反馈的判决反馈均衡器的研究

本文提出的一种新颖的基于多用户反馈的判决反馈均衡器,解决了在CDMA多用户检测中传统自适应判决反馈均衡器误码率高、系统容量小的缺点.它由具有误差反馈滤波器的判决反馈均衡器(Decision Feedback Equalizer with Error Feedback Filter,DFE-EFF)构成,并在判决后反馈多用户数据抵消多址干扰(多用户反馈干扰抵消).文中给出其结构图,分析各种判决反馈均衡算法.理论证明,具有误差反馈滤波器的多用户反馈干扰抵消判决反馈均衡器(多用户反馈干扰抵消DFE-EFF)较各种判决反馈均衡器为最优,它能同时有效处理ISI,MAI和噪声的干扰.仿真结果表明,在误码率性能和系统容量两方面,多用户反馈干扰抵消DFE-EFF比DFE、DFE-EFF均有较大改善.     

用Laguerre滤波器实现多径衰落信道自适应均衡

提出了一种衰落信道自适应均衡的新方法。该方法基于Laguerre滤波器结构,采用最小二乘估计估算滤波器极点,通过RLS算法实现自适应过程。仿真结果表明,由于Laguerre滤波器同时具有FIR和ⅡR结构的特点,在信噪比低、信道多径条件复杂的情况下,可以获得比通常的线性自适应均衡器和决策反馈均衡器更好的抗符号间干扰的效果;同时,Laguerre滤波器结构的稳定性有效地减少了差错传播的发生。     

适用于SerDes接收器DFE的高速动态比较器

在SerDes电路中,高速数据传输的关键在于均衡的速率,因此随着SerDes对数据传输速率要求越来越高,对SerDes中接收器的判决反馈均衡器的速率要求也在提高。作为自适应判决反馈均衡器的关键组成部分,比较器的延时大小决定了自适应均衡器的判决容限。为了满足低压应用对高速率比较器的低延迟要求,文章基于传统双尾比较器提出一种新的适用于SerDes接收器中判决反馈均衡器的高速差分信号动态比较器电路。在TSMC 28 nm CMOS工艺下,当电源电压为1 V时,平均延迟时间为52.58 ps,可满足高达15 Gbit/s数据速率的判决反馈均衡器应用需求。     

DVB-C接收机中均衡的一种实现方法

针对DVB-C信号的特点,接收机中自适应均衡器采用的是分数间隔判决反馈均衡器的结构,与改进的CMA盲均衡算法和自适应算法DDLMS相结合.在仿真中,在有线多径信道条件下,此均衡器能较好地消除多径干扰,具有较好的性能,而不需要任何的训练序列和导频的存在.     

自适应均衡在无线通信中的应用

在无线通信中,由于信道的不完善性和多径衰落等因素,使得数据在无线信道上传输时码间干扰严重,基于LMS(最小均方)算法的自适应判决反馈均衡器因其实现复杂度小可以广泛应用,文章对其原理和结构进行了分析并通过Matlab对该均衡器性能进行了计算机仿真,结果表明:在接收端采用该自适应均衡器可以大大降低误比特率,在工程上具有一定参考价值。     

一种基于递归最小二乘的OFDM系统自适应均衡算法

当循环保护前缀(CP)长度小于信道冲激响应长度时,正交频分复用(OFDM)通信系统的子载波间正交性遭到破坏,接收信号存在符号间干扰(ISI)和子载波间干扰(ICI),普通的频域单抽头均衡器不再适用.为解决这个问题,研究一种基于递归最小二乘(RLS)算法的频域自适应均衡器.理论分析和仿真结果表明,该均衡器能有效消除由于循环前缀不足引起的符号问干扰和子载波间干扰,较好地恢复传输信号.     

用判决反馈自适应均衡器抑制多音干扰

从理论上分析了在QPSK系统中用判决反馈自适应均衡器抑制多音干扰的性能,给出了均衡器最佳系数与最小均方误差计算公式,指出QPSK系统中的均衡器能同时起到抑制多音干扰的作用。利用此性能可使设备简化。     

MIMO OFDM系统中的Turbo子载波均衡

在MIMO OFDM系统中,为了对抗同天线干扰及由于保护间隔不足而引起的码间干扰和载波间干扰,该文给出了一种基于MMSE的Turbo子载波均衡器。在该算法中,软输入软输出(SISO)的子载波均衡器与软输入软输出(SISO)解码器通过迭代进行软信息交换。仿真结果表明,与非迭代的子载波均衡器相比,该文给出的Turbo子载波均衡器能够有效利用时间和空间分集,使系统性能得到了改善。     

基于QR-RLS算法的OFDM系统盲自适应时域均衡器

在正交频分复用(OFDM)系统中,使用时域均衡器来消除由于循环前缀长度小于信道时延扩展长度而导致的符号间干扰。为了克服Merry算法收敛速度较慢的缺点,提出了一种适用于无线时变信道环境的改进的盲自适应时域均衡器。该算法利用QR-RLS算法实现均衡器抽头的迭代计算,改善了Merry算法的收敛速度和鲁棒性。理论分析和仿真结果表明,该算法收敛速度明显优于Merry算法,且性能接近MSSNR算法最优解。     

预滤波式均衡器的原理和实现

提出了一种新的均衡器——预滤波式均衡器。这种均衡器由预滤波器和白适应均衡器组成。它利用高效的相关估计算法，计算出所有多径的时延和幅度，然后使用多径拆分算法，设置预滤波器的参数，使得接收信号经过预滤波之后，畸变得到了改善，进而可由后面的自适应均衡器将残余的码间干扰完全消除。结果表明，在性能上它比传统均衡器有显著提高，可以补偿幅度为0dB的副径。     

基于快速信道捕获与系数映射均衡的流星通信接收机

针对流星余迹通信原理及信道特点,构造了基于自适应编码调制的变速率通信机制,提出了有效利用传输帧结构的快速信道估计及系数映射均衡的流星余迹通信接收机.在利用时域相关运算快速捕获流星信道冲击响应的基础上,推导出信道参数与均衡器系数之间的映射关系,直接计算出判决反馈均衡器的抽头系数,从而实现流星余迹通信自适应编码调制方式数据的可靠接收.该接收机在信道变化的情况下具有较快的收敛速度,和较好的抗噪声性能.仿真结果和复杂度分析验证了算法的有效性.     

利用自适应均衡滤波器改善大气湍流信道OWC性能

光无线通信是近年来无线通信领域的研究热点之一。大气湍流是影响光无线通信的重要因素,特别是在高速数字通信中会产生严重的码间干扰。本文分析了大气湍流信道的特性,提出采用自适应LMS均衡技术改善大气湍流信道的性能,对采用OOK调制方式的OWC系统均衡前后的误码率性能进行了分析比较。仿真结果表明自适应LMS均衡技术可以将系统的性能提高约10dB。     

Nonsingular Constant Modulus Equalizer for PDM-QPSK Coherent Optical Receivers

Adaptive electronic equalizers using the constant modulus algorithm (CMA) algorithm often converge to a singular coefficient matrix that produces the same signal at multiple outputs. We address this issue in the context of optical communications systems with polarization-division multiplexing and coherent receivers. We study, by computer simulation, the performance of multiuser CMA equalizer, an enhanced CMA equalizer initially proposed for use in wireless multiuser and later multiple-input/multiple-output communications systems. We show that the proposed adaptive electronic equalizer does not exhibit singularities and, therefore, is superior to the commonly used CMA equalizer.     

基于自适应步长LMS算法的判决反馈均衡器研究

本文研究了一种基于自适应步长LMS算法的自适应判决反馈均衡器算法，此算法通过对前向滤波器、后向滤波器和锁相环参数分别进行实时的、自适应步长的调整，在均衡时变多径的同时高精度地锁定接收信号相位，因此适用于相干通信系统。仿真结果表明在相同多径条件下，该方法比基于固定步长LMS算法的判决反馈均衡器输出误码率低1-7倍。     

Low-complexity adaptive decision-feedback equalization of MIMO channels

A new adaptive MIMO channel equalizer is proposed based on adaptive generalized decision-feedback equalization and ordered-successive interference cancellation. The proposed equalizer comprises equal-length subequalizers, enabling any adaptive filtering algorithm to be employed for coefficient updates. A recently proposed computationally efficient recursive least squares algorithm based on dichotomous coordinate descents is utilized to solve the normal equations associated with the adaptation of the new equalizer. Convergence of the proposed algorithm is examined analytically and simulations show that the proposed equalizer is superior to the previously proposed adaptive MIMO channel equalizers by providing both enhanced bit error rate performance and reduced computational complexity. Furthermore, the proposed algorithm exhibits stable numerical behavior and can deliver a trade-off between performance and complexity.     

A Multiple Input-Multiple Output (MIMO) Adaptive Decision Feedback Equalizer (DFE) with Cancellation for Wideband Space-Time Communications

A new receiver structure able to deliver high data rates in a multiple input-multiple output (MIMO) frequency selective wireless environment is proposed and investigated in this paper. The optimal solution for the finite-length MIMO decision feedback equalizer (DFE) with cancellation is derived and used to illustrate the potential of this architecture for space-time communications. LMS and RLS adaptive algorithms are also presented for the MIMO architecture. The convergence and performance of these adaptive algorithms is analyzed through simulation results. The proposed adaptive solutions do not require channel identification, are less computationally intensive than their optimal solution counterpart, and allow the proposed MIMO receiver to seamlessly adapt to channel changes.     

Adaptive minimum MSE controlled PLC optical equalizer for chromatic dispersion compensation

With the advent of very high-bit-rate optical communication systems (40 Gb/s and beyond) and the progressive transformation of the optical layer in a real networking layer, a channel-by-channel adaptive optical equalization will be needed. An adaptive optical equalizer for chromatic dispersion compensation, based on planar lightwave circuit (PLC) technology and controlled by a minimum mean square error (MSE) strategy, is proposed here. It is shown in a rigorous manner how the PLC parameters are to be adjusted and that the control algorithm is effective even with a few stages PLC equalizer, performing better than other nonadaptive control techniques. An analysis of the dynamic behavior of the equalizer shows that, in a realistic time-varying scenario, it can easily adapt to slow channel variations and is able to quickly restore a minimum MSE condition after an abrupt chromatic dispersion variation.     

Joint MF combining and turbo equalization for wireless communications over ISI channels with diversity reception

A new method called joint Matched Filter (MF) combining and turbo equalization is proposed for wireless communications over Inter-Symbol Interference (ISI) channels with diversity reception. This method takes diversity combining and equalization as integrity and need just one turbo equalizer for all diversity branches. Computer simulations prove that our method can take advantage of turbo equalization and diversity reception to combat fading of wireless channels.