基于变换域插值的残余码间干扰消除算法

为了在正交频分复用系统中解决符号间干扰以及子信道干扰导致系统性能下降的问题,采用了一种新的基于变换域插值信道估计的残余消除算法的方法,进行了理论分析和实验验证,取得了科学准确的数据。利用MATLAB模拟仿真的结果表明,在宽带无线局域网中,当循环保护前缀长度不足时,采用该算法经过有限次迭代后,正交频分复用系统性能得到明显的改善,同时降低了计算的难度。这一结果对光通信技术的研究是有帮助的。     

一种降低复杂度的压缩感知水声信道估计方法

针对浅海的水声信道稀疏特性,提出了一种降低复杂度的前向回溯正交匹配追踪(RC-LABOMP)信道估计方法。首先计算正交匹配追踪和子空间追踪信道估计算法的两类支撑集,接着根据两类支撑集的交集和并集,预处理先验信息,最后利用先验信息完成前向回溯正交匹配追踪信道估计。该算法经过先验信息的预处理,能够减少原LABOMP算法的迭代次数,同时缩小原子的索引范围,因此能够显著降低原LABOMP算法的计算复杂度。此外,将提出的算法与水声Turbo均衡系统相结合,更适用于水声通信系统。仿真结果表明,所提算法在随机信道和水声信道条件下,具有估计精度高、误码率低的特点,同时能够显著降低LABOMP算法的计算复杂度,是一种适用于浅海水声信道的有效估计方法。     

基于微气泡散射的水下无线光通信复合信道建模

海浪、船舶尾流以及海洋生物游动与呼吸等原因会导致海水中存在大量的气泡,气泡群带来的散射效应对光信号的水下传输具有重要影响,但典型的水下无线光通信信道模型一般不考虑气泡群带来的负面效应。为了进一步完善传统的水下无线光通信信道模型,本文利用Mie散射理论分析海水中的微气泡及微气泡群光散射特性,基于蒙特卡洛法建立包含气泡散射的复合海水信道模型,分析不同海水水质、气泡密度、链路距离等参数条件下接收端的光学特性和信号特性。结果表明:当链路距离为5m时,随着气泡密度的增大,接收端光斑的弥散程度加剧,其面积可增至初始大小的3～5倍,中心能量也显著降低,最多可降至最大值的05;当链路距离为10～40m时,气泡群的存在以及链路距离的增长会导致接收端第一次接收到光子的时间延长约10～200ns,且使脉冲展宽值增大;当链路距离为2～10m时,气泡群密度的增大最多可使归一化接收功率降低至初始值的0004,但随着水质的恶化,其他粒子含量提高,气泡群对接收功率的影响逐渐减小。该研究可以为水下无线光通信系统的设计和理论分析提供参考。     

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...     

SEMI-BLIND CHANNEL ESTIMATION OF MULTIPLE-INPUT／MULTIPLE-OUTPUT SYSTEMSBASED ON MARKOV CHAIN MONTE CARLO METHODS

This paper addresses the issues of channel estimation in a Multlple-Input/Multiple-Output (MIMO) system. Markov Chain Monte Carlo (MCMC) method is employed to jointly estimate the Channel State Information (CSI) and the transmitted signals. The deduced algorithms can work well under circumstances of low Signal-to-Noise Ratio (SNR). Simulation results are presented to demonstrate their effectiveness.     

相干光通信中相位估计与信道均衡的联合使用

在使用高阶相位调制的100Gbit/s及以上速率的相干光通信系统中,激光器的相位噪声和光纤传输中的色散效应是影响系统性能的主要因素。为了补偿色散及相位噪声的影响,文章提出一种将电信道均衡与相位估计模块在电域联合使用的方法,相位估计在电信道均衡之后完成,其结果同时用于电信道均衡器的抽头系数更新。该方法可以有效降低对电信道均衡中迭代步长的要求,有助于系统获得更低的误码率和更稳定的误码性能,并且能够支持的传输距离也会增加。     

Recursive least square–based fast sparse multipath channel estimation

In the next‐generation wireless communication systems, the broadband signal transmission over wireless channel often incurs the frequency‐selective channel fading behavior and also results in the channel sparse structure, which is supported only by few large coefficients. For the stable wireless propagation to be ensured, linear adaptive channel estimation algorithms, eg, recursive least square and least mean square, have been developed. However, these traditional algorithms are unable to exploit the channel sparsity. Actually, channel estimation performance can be further improved by taking advantage of the sparsity. In this paper, 2 recursive least square–based fast adaptive sparse channel estimation algorithm is proposed by introducing sparse constraints, L1‐norm and L0‐norm, respectively. To improve the flexibility of the proposed algorithms, this paper introduces a regularization parameter selection method to adaptively exploit the channel sparsity. Finally, Monte Carlo–based computer simulations are conducted to validate the effectiveness of the proposed algorithms.     

Geometry‐based statistical channel model and performance for MIMO antennas

To test an adaptive array algorithm in cellular communications, we developed a geometry‐based statistical channel model for radio propagation environments, which provides the statistics of the angle of arrival and time of arrival of the multipath components. This channel model assumes that each multipath component of the propagating signal undergoes only one bounce traveling from the transmitter to the receiver and that scattering objects are located according to Gaussian and exponential spatial distributions, and a new scatterer distribution is proposed as a trade‐off between the outdoor and the indoor propagation environments. Using the channel model, we analyze the effects of directional antennas at the base station on the Doppler spectrum of a mobile station due to its motion and the performance of its MIMO systems. Copyright © 2014 John Wiley & Sons, Ltd.     

On the use of EMD based adaptive filtering for OFDM channel estimation

Hilbert Huang transform (HHT) based data driven empirical mode decomposition (EMD) in conjunction with adaptive filter (AF) is proposed for estimation of communication channel in OFDM system. EMD can be viewed as alike of wavelet decomposition which decomposes the signal of interest to intrinsic mode functions (IMF), whose basis function is derived from signal itself. In this method, the length of channel impulse response (CIR), is approximated using Akaike information criterion (AIC). Then the estimation of CIR is performed using adaptive filter with EMD decomposed IMF of the received OFDM symbol. Conventional AF uses random initial weight vector. The novelty of the proposed method lies in the fact that it uses decimated version of one of the decomposed IMFs of received OFDM symbol as initial weight vector. The selection of useful IMF component is done based on correlation and kurtosis measures. This makes the proposed EMD based AF method converge to minimum mean square error (MMSE) in less number of iterations resulting in almost 50% saving of computations. Bit error rate (BER), mean square error (MSE) and normalized root mean square error (NRMSE) are computed. The simulation studies established the efficacy of proposed method; and comparative studies under different modulation schemes and fading conditions revealed improved performance. Simulations have shown an average improvement of 3 dB in BER performance for proposed EMD based AF as compared to conventional AF.     

基于DFT的信道估计算法在CO-OFDM系统中研究

信道估计作为相干光OFDM(CO-OFDM)系统的一种 关键技术对系统的性能有着十分重要的影响, 光纤通信系统通过信道估计,可以将信号经过光纤传输后的影响,如损耗、色散、非线性等 ,通过在发送 端发送已知数据,在接收端利用均衡等恢复出原始信号。本文首先介绍了相干光OFDM系统, 并使用 optisystem和matlab软件搭建了相干光OFDM系统仿真平台,提出了适用于相干光OFDM系统 的基于DFT 算法及其进一步的改进算法,并在此平台上进行了仿真试验。结果表明,基于DFT算法及其 改进算法能够 很好地提高相干光OFDM系统的传输性能,改进的DFT算法与DFT算法在BER的值 为10－4的条件下,有1dB的光信噪比增益;与LS算法比较, 有3dB的光信噪比增益。     

Expectation–maximization‐based joint data detection and channel estimation for a cellular multi‐carrier code division multiple access network using single‐hop relaying

This paper is concerned with channel estimation and data detection for a cellular multi‐carrier code division multiple access network using single‐hop relaying in the presence of frequency selective fading channels. The proposed expectation–maximization (EM) algorithm was used to jointly estimate both the coefficients of the channel between a relay and a base station and the data. EM algorithm is particularly suited to multi‐carrier code division multiple access systems because they have multi‐carrier signal format. The considered network uses single‐hop relaying technique to provide a higher quality transmission to the users with low quality channels. The base station (managing mechanism) gives them an opportunity to send their messages via the users with high quality channels in a time sharing mode. The performance of the proposed EM algorithm, with and without hopping and with cooperative communication technique, was analyzed by a computer simulation, and the results are presented. Copyright © 2011 John Wiley & Sons, Ltd.     

Compressed sensing channel estimation for STBC‐SM based hybrid MIMO‐OFDM system for visible light communication

This paper presents the idea of sparse channel estimation using compressed sensing (CS) method for space–time block coding (STBC), and spatially multiplexing (SM) derived hybrid multiple‐input multiple‐output (MIMO) Asymmetrically clipped optical‐orthogonal frequency division multiplexing (ACO‐OFDM) optical wireless communication system. This hybrid system accounts multiplexing gain of SM and diversity gain of STBC technique. We present a new variant of sparsity adaptive matching pursuit (SaMP) algorithm called dynamic step‐size SaMP (DSS‐SaMP) algorithm. It makes use of the inherent and implicit structure of SaMP, along with dynamic adaptivity of step‐size feature which is compatible with the energy of the input signal, thus the name dynamic step size. Existing CS‐based recovery algorithms like orthogonal matching pursuit, SaMP, adaptive step‐size SaMP, and proposed DSS‐SaMP were compared for hybrid MIMO‐ACO‐OFDM visible light communication system. The performance analysis is demonstrated through simulation results with respect to bit error rate, symbol error rate, mean square error, computational complexity, and peak‐to‐average power ratio. Simulation results show that the proposed technique gives improved performance and lesser computational complexity in comparison with conventional estimation algorithms.     

Blind downlink channel estimation for TDD‐based multiuser massive MIMO in the presence of nonlinear HPA

In time division duplex (TDD)‐based multiuser massive multiple input multiple output (MIMO) systems, the uplink channel is estimated and the results are used in downlink for signal detection. Owing to noisy uplink channel estimation, the downlink channel should also be estimated for accurate signal detection. Therefore, recently, a blind method was developed, which assumes the use of a linear high‐power amplifier (HPA) in the base station (BS). In this study, we extend this method to a scenario with a nonlinear HPA in the BS, where the Bussgang decomposition is used for HPA modeling. In the proposed method, the average power of the received signal for each user is a function of channel gain, large‐scale fading, and nonlinear distortion variance. Therefore, the channel gain is estimated, which is required for signal detection. The performance of the proposed method is analyzed theoretically. The simulation results show superior performance of the proposed method compared to that of the other methods in the literature.     

Kalman filter‐based channel estimation and ICI suppression for high‐mobility OFDM systems

The use of orthogonal frequency division multiplexing (OFDM) in frequency‐selective fading environments has been well explored. However, OFDM is more prone to time‐selective fading compared with single‐carrier systems. Rapid time variations destroy the subcarrier orthogonality and introduce inter‐carrier interference (ICI). Besides this, obtaining reliable channel estimates for receiver equalization is a non‐trivial task in rapidly fading systems. Our work addresses the problem of channel estimation and ICI suppression by viewing the system as a state‐space model. The Kalman filter is employed to estimate the channel; this is followed by a time‐domain ICI mitigation filter that maximizes the signal‐to‐interference plus noise ratio (SINR) at the receiver. This method is seen to provide good estimation performance apart from significant SINR gain with low training overhead. Suitable bounds on the performance of the system are described; bit error rate (BER) performance over a time‐invariant Rayleigh fading channel serves as the lower bound, whereas BER performance over a doubly selective system with ICI as the dominant impairment provides the upper bound. Copyright © 2008 John Wiley & Sons, Ltd.     

Time domain leakage in DFT‐based channel estimation for OFDM systems with guard bands

In this paper, a mathematical analysis of the time domain leakage problem in the discrete Fourier transform (DFT) based channel estimation technique is presented. The time domain leakage is because of the absence of pilots in the guard band. Several solutions to this problem were previously proposed based on reducing the leakage in the frequency domain. These solutions significantly increase the receiver complexity. In this paper, the root cause of the leakage problem is linked to the time domain and a modification is proposed carrying slight additional complexity over the conventional DFT‐based estimator. Performance evaluation is assessed in terms of the bit error rate and the mean square error. The proposed modification significantly decreases the error floor of the conventional DFT‐based channel estimation technique. In addition, its performance is comparable to other more complex techniques recently proposed.Copyright © 2013 John Wiley & Sons, Ltd.     

SAGE based iterative receiver for joint synchronization and channel estimation in uplink MIMO-OFDMA systems

A new Turbo iterative receiver structure is proposed for the uplink multiple-input multiple-output orthogonal frequency division multiple access （MIMO-OFDMA） systems. The space-alternating generalized expectation-maximization （SAGE） algorithm is naturally embedded in the framework of iterative receiver to perform synchronization and detection usin~ the Turbo detector outputs. In each iteration, the expectation step intends to remove the multiple access interference （MAI） caused by other asynchronous users, and the maximization step is utilized to estimate the required parameters （i.e., timing offset, carrier frequency offset, channel state information, etc.） sequentially for each user. Simulation results show that the proposed algorithm can approach the performance of ideal receiver closely, while the processing complexity is rather lower than the conventional detectors.     

光通信乘性噪声信道基于LDPC码的SNR估计方法

针对目前现有的信噪比(SNR)估计 方法不适用光通信中乘性噪声信道的问题,分析了乘性噪声信道下,SNR失配 对低密度奇偶校验(LDPC)码性能的影响,并通过仿真表明乘性噪声信道下 SNR精确估计的必要性。提出了一种基于量化的LDPC 码判决反馈的SNR估计方法,首先对接收到的光信号进行量化,利用 简化后的期望最大(EM)算法对量化后的SNR 进行一次粗估计,接着利用基于LDPC迭代译码的判决反馈结果对 SNR进行精估计。仿真结果表明,本方法能够在接收 信号的均值和噪声方差等参数未知情况下,能有效完成LDPC码迭代译码的辅助 工作;在误码率(BER)为10－5时,SNR估计后 ,LDPC码的译码性能距离理想情况下的译码性能,仅有约0.12dB以内损失。     

Generalized frequency division multiplexing–based acoustic communication for underwater systems

The underwater (UW) acoustic channel poses multiple challenges like coloured ambient noise, frequency‐dependent attenuation, and doubly selective fading. The availability of a robust underwater communication mechanism can largely enhance the success of human effort in a multitude of applications, ranging from pollution surveillance to defence and search/rescue operations. In this work, generalized frequency division multiplexing (GFDM), a non‐orthogonal multicarrier scheme, which has recently been studied for terrestrial wireless fading channels, is developed and tested for signalling in UW acoustic communication. UW noise, attenuation, and doubly selective fading channels are modelled with appropriate statistics. The BER performance of proposed system is systematically evaluated under different channel conditions, starting from simple additive white Gaussian noise (AWGN) and Rayleigh fading channels to a horizontally configured UW channel. The performance is also compared with contemporary orthogonal frequency‐division multiplexing (OFDM)– and filter bank multicarrier (FBMC)–based systems.     

基于CS的Kalman滤波OFDM信道估计

在OFDM系统信道估计中,准确的时域卡尔曼滤波（TDKF）估计需要信道多径时延作为先验条件,而且具有较低的频谱效率.考虑到大多数无线信道具有稀疏和时变的特性,提出一种改进的卡尔曼滤波与压缩感知联合信道估计方法,采用稀疏度自适应匹配追踪（SAMP）算法,并对信道响应变化量进行重建.仿真结果表明,相较于已有算法,提出的算法不需要知道信道的稀疏度,而且信道估计结果更加准确.     

Square m-QAM相干光通信载波相位估计性能研究

基于前馈载波相位估计算法,研究了square 16-QAM调制相干光纤通信系统的载波相位估计性能,进一步证明了当存在相位噪声时square m-QAM调制并非QAM调制最佳星座图的原因.仿真计算结果显示,由于square 16-QAM调制星座图中星点之间相位距离分布不均匀,引起载波相位估计中出现连续相位跳变,导致载波估计性能劣化,系统误码率增大约2～3倍.