OFDM系统基于自适应定阶的MMSE信道估计

MMSE估计是OFDM系统中常用的信道估计算法。针对MMSE信道估计的失配问题,该文提出了一种基于自适应定阶的MMSE估计算法。该算法通过对信道最大多径时延的估计,自适应地调整信道自相关函数的产生,获得接近匹配时的MMSE估计效果。     

OFDM系统中的自适应信道估计

分析了现有的基于导频的OFDM信道估计技术,提出了一种低复杂度的自适应信道估计方法,并给出了最大时延扩展的实时估计方法,最后通过计算机仿真,给出了多径信道下MSE曲线,以及在DVB-T系统中的BER仿真曲线,验证了其可靠性和良好的性能。     

一种基于DFT的低复杂度虚子载波OFDM信道估计算法

该文针对采用虚子载波的OFDM通信系统,提出了一种基于DFT的低复杂度信道估计算法,并与最小二乘(Least Square,LS)估计算法和线性最小均方误差(Linear Minimum Mean Square Error,LMMSE)算法进行了详细的性能和复杂度比较。所提DFT算法较好地降低了高斯白噪声的影响,相对于LS算法获得了较大的性能增益。该算法在复杂度与性能之间取得了较好的折衷,具有很好的实用价值。     

OFDM系统中低复杂度联合译码和信道估计方法研究

本文针对OFDM(Orthogonal Frequency Division Multiplexing)系统提出了一种低复杂度联合译码和信道估计算法的接收机。接收机首先通过导频对信道进行估计，然后使用Turbo码译码输出判决信息对信道参数进行稳健的估计。仿真结果表明，即使系统误码率大于10^-2，经过3次迭代估计，系统性能提高仍有0．5-1dB；在高信噪比下，可显著地降低系统的误码底限。本文同时还给出了译码迭代次数对系统性能的影响。     

Parallel Channel Estimator and Equalizer for Mobile OFDM Systems

Mobile OFDM refers to OFDM systems with fast moving transceivers, in contrast to traditional OFDM systems whose transceivers are stationary or have a low velocity. In this paper, we use the basis expansion model (BEM) to model time-varying OFDM channels. Using different BEM’s, we investigate various architectures to implement the least-squares (LS) channel estimation and its corresponding zero-forcing (ZF) channel equalization. The experimental results show that our implementation for mobile OFDM systems is capable of combatting the time variation of mobile OFDM channels, and more hardware resource utilization is necessary compared with a traditional OFDM design which fails in a time-varying scenario. For mobile OFDM systems, different BEM’s are available for the channel modeling. We observe that the so-called Critically sampled Complex-Exponential BEM (CCE-BEM) leads to the most efficient hardware architecture while still maintaining high modeling accuracy.     

An Accurate and Very Low Complexity LMMSE Channel Estimation Technique for OFDM Systems

In this paper, we propose a very low linear minimum mean square error (LMMSE) channel estimation technique for orthogonal frequency division multiplexing (OFDM) systems. The conventional LMMSE, based on the autocorrelation channel matrix, requires \(O(N_P^3)\) operations (\(N_P\) represents the total number pilot in one OFDM symbol). By exploiting the structure of the channel autocorrelation matrix, we propose a very low complexity LMMSE channel estimator which requires only \(O(N_PlogN_P)\) operations. Simulation results show that the proposed technique yields the same performances as well as the classical LMMSE in terms of bit error rate and mean square error.     

Space-Time Codes for Multiple Access Systems with Low MMSE Decoding Complexity

We study a class of space-time codes constructed by linear dispersion encoding that allow low-complexity linear minimum mean square error (MMSE) decoding for a multiple access system. Considering that the information symbols are drawn from square QAM constellations, we optimize rate-one space time code designs with MMSE decoding to achieve minimum bit error rate (BER) for any channel realization. In addition, the performance is further improved with a simple MMSE successive interference cancellation (MMSE-SIC) method. Simulation results compare the proposed design with existing rate-one designs and show that simple rate-one circulant designs are also good candidates for deployment in multiple access systems.     

基于零点消除的无线OFDM系统 信道缩短均衡器

针对无线信道的有限冲激响应及其全零点特性,本文设计了一种基于零点消除的无线正交频分复用(OFDM)系统信道缩短均衡器,该均衡器利用零点消除的方式有效地缩短信道时延扩展长度,并采用反馈滤波器的形式来实现无限冲激响应滤波器,该方案不仅降低了信道缩短均衡器算法的复杂度,而且也大大简化了无线OFDM系统的设计与实现.仿真结果验证了上述方案和算法的有效性.     

OFDM系统中基于导频信道估计方法的研究

对基于导频的信道估计中的插值算法,包括线性、高斯、变换域、低通滤波及三次样条插值算法的性能、特点进行分析比较。其中,三次样条插值算法在对复杂信道的估计方面,具有更好的性能和灵活性。最后,给出三次样条插值利于工程实现的简便算法。     

Low Complexity Linear Channel Estimation for MIMO Communication Systems

Channel estimation is employed to get the current knowledge of channel states for an optimum detection in fading environments. In this paper, a new recursive multiple input multiple output (MIMO) channel estimation is proposed which is based on the recursive least square solution. The proposed recursive algorithm utilizes short training sequence on one hand and requires low computational complexity on the other hand. The algorithm is evaluated on a MIMO communication system through simulations. It is realized that the proposed algorithm provides fast convergence as compared to recursive least square (RLS) and robust variable forgetting factor RLS (RVFF-RLS) adaptive algorithms while utilizing lesser computational cost and provides independency on forgetting factor.     

Low Complexity Time Synchronization Algorithm for OFDM Systems with Repetitive Preambles

In this paper, a new time synchronization algorithm for OFDM systems with repetitive preamble is proposed. This algorithm makes use of coarse and fine time estimation; the fine time estimation is performed using a cross-correlation similar to previous proposals in the literature, whereas the coarse time estimation is made using a new metric and an iterative search of the last sample of the repetitive preamble. A complete analysis of the new metric is included, as well as a wide performance comparison, for multipath channel and carrier frequency offset, with the main time synchronization algorithms found in the literature. Finally, the complexity of the VLSI implementation of this proposal is discussed.     

Partial Shift Mapping for PAPR Reduction with Low Complexity in OFDM Systems

The high peak‐to‐average power is one of the main drawbacks in OFDM systems. This letter proposes a partial shift mapping (PSM) method for peak power reduction in OFDM systems. By utilizing the properties of the discrete Fourier transform, the proposed method generates a set of candidate signals without additional complex multiplication and selects the one with minimum peak power for transmission. Analyses and simulations confirm that the PSM method achieves satisfactory peak power reduction performance and low complexity compared with other kindred methods, for example, selected mapping and partial transmit sequences.     

一种基于二维处理的OFDM信道估计算法

该文提出了一种新的信道估计算法,用于无线移动信道下的正交频分复用(OFDM)系统。该算法对接收的导频信号(Pilot)分别在多径展宽域和多普勒展宽域进行处理,显著地降低了子载波间干扰和高斯白噪声的影响。此外,多普勒展宽域处理的滤波器是动态设计的,具有良好的自适应性。仿真结果表明,在不同的多普勒频偏下,该算法都有良好的性能。     

A Symbol-Rate Timing Synchronization Method for Low Power Wireless OFDM Systems

This work addresses power reduction and performance improvement for wireless orthogonal frequency-division multiplexing (OFDM) systems using a dynamic sample-timing controller (DSTC) and phase-tunable clock generator (PTCG). The receiver, applying the proposed DSTC algorithm, searches for the optimal sampling phase at the symbol rate, instead of the Nyquist rate (or higher), to reduce the extra power consumed in high-rate operations. The proposed PTCG circuits provide the desired clock phase for optimum sampling to improve system performance. Both the DSTC and the PTCG are evaluated in a multibandt OFDM (MB-OFDM) ultra-wide-band system. Simulation results indicate that the overall system performance is improved by 1.7-dB signal-to-noise ratio at a packet error rate of 8% and the total baseband power is reduced by 40%.      

一种基于LCMMSE算法的Turbo均衡技术研究

大容量、高速率通信已成为数字通信系统发展的趋势。多径效应所带来的符号间干扰(ISI)在高速率通信系统中尤为突出。Turbo均衡充分利用了均衡与译码的软信息交换,提高了均衡译码的整体性能。主要研究了Turbo均衡的原理和基于LCMMSE准则的Turbo均衡算法,仿真了Prokis’B信道下Turbo均衡性能。仿真结果表明其BER性能与MAP均衡算法相差不多,并且复杂度较低,有利于工程实现。     

A Modified SLM Scheme With Low Complexity for PAPR Reduction of OFDM Systems

In this paper, we propose a new peak-to-average power ratio (PAPR) reduction scheme of orthogonal frequency division multiplexing (OFDM) system, called a modified selected mapping (SLM) scheme, which considerably reduces the computational complexity with keeping the similar PAPR reduction performance compared with the conventional SLM scheme. The proposed scheme is analytically and numerically evaluated for the OFDM system specified in the IEEE 802.16 standard. For the OFDM system with 2048 subcarriers, the proposed scheme with 4 binary phase sequences can reduce the complex multiplications by 63.5% with the similar PAPR reduction compared with the SLM scheme with 16 binary phase sequences.     

OFDM系统信道估计算法研究

在OFDM技术应用于移动通信领域时,其信道估计技术是一项关键技术。分析了级联的一维的信道估计方法,采用加窗的方式改进了基于FFT一维级联信道估计算法,在此基础上提出一种新的基于DCT（EIDCT）变换的信道估计算法。最后给出了改进算法的性能仿真,并对仿真结果进行分析。     

基于DCT的OFDM信道估计

在宽带移动环境下,由于多普勒频移以及多径的影响,信道是时变的。为了消除信道对传输信号的影响,需要对信道进行估计。给出了2种基于离散余弦变换(DCT)的信道估计方法,可以很好的降低频谱泄露造成的混叠失真,适用于非整数倍的抽样信道。其中一种性能较好,另一种实现更加方便。仿真结果表明,这两种算法的性能均优于基于DFT的信道估计算法。     

一种降低OFDM系统PAPR的低复杂度盲SLM方法

针对传统选择映射方法复杂度过高和需要传输边信息的问题,提出了低复杂度的盲选择映射方法。该方法巧妙地设计了一组相位旋转矢量,并将一个或几个正交频分复用符号看作一个符号块,使得每个符号块中都有一个符号具有导频符号,利用设计的相位旋转矢量对应的转换矩阵与原信号块的时域相乘运算代替反傅里叶变换运算产生的备选信号块。在接收端通过导频符号估计出包含相位旋转矢量信息的等效信道,从而实现了不需要边信息的盲数据检测。分析与仿真结果表明,与常规选择映射方法相比,提出的方法复杂度大大降低,在不需要传输边信息的情况下可以达到相近的降峰均比性能。     

基于OFDM的无线通信系统信道估计技术研究

OFDM是第四代移动通信系统的核心技术之一,信道估计是OFDM中急需解决的一个关键技术。首先介绍了OFDM技术的基本原理及其系统组成,重点研究了基于导频的OFDM信道估计技术,针对块状导频插入方式,讨论了LS（最小二乘）、MMSE（最小均方误差）和SVD（奇异值分解）算法,并通过仿真对其性能进行了比较。结果表明：MMSE和SVD算法比LS算法有更好的性能,但是LS算法的复杂度较低。