Chaos-Coded Modulations Over Rician and Rayleigh Flat Fading Channels

In this brief, we analyze a kind of chaos-coded modulations over both Rician and Rayleigh frequency non-selective uncorrelated fading in the presence of additive white Gaussian noise. We provide bounds both for the case when perfect channel-state information (CSI) is available at the decoder and when there is no CSI. We show that the bounds proposed can be tight enough to give reason of the behavior of these systems in a flat fading channel. We compare the results with a related trellis-coded modulation and show that the degradation in performance can be at least as low as with conventional coded modulation systems.     

On the Performance Analysis of Digital Modulations in Generalized-K Fading Channels

In this paper we present novel expressions for several performance metrics of communication systems operating over a composite fading environment modelled by the generalized-K distribution. Initially, for a generalized-K fading channel with arbitrary values for the small and large-scale fading parameters we derive a closed-form expression for the moment generating function (MGF) of the received signal-to-noise ratio (SNR) and utilize it to obtain the exact average symbol error probability for a variety of digital modulations using the MGF based approach. Then, for integer values of the small-scale fading parameter, we derive a novel closed-form expression for the cumulative distribution function of the received SNR, which is then used to obtain closed-form expressions for the outage probability, the average bit error probability of various digital modulations, and the ergodic capacity of the generalized-K fading channel.     

非频率选择性衰落MIMO信道上基于序列蒙特卡罗的数字调制识别方法

该文针对非频率选择性衰落多输入多输出(MIMO)信道提出了一种基于序列蒙特卡罗(SMC)方法的幅度-相位调制方式识别方法。首先将MIMO系统等效为一个动态状态空间模型,然后利用序列重要性采样和模式转移步骤估计每根发送天线采用的各种可能调制方式的概率,最后利用各个信道上发送符号的不相关性在长为N的观测信道上进行噪声平均。该方法能够在识别数字调制方式的同时估计发送数据符号。其复杂度是信道观测长度、发送天线数、采样大小、调制星座大小的线性函数。仿真结果表明提出的数字调制识别方法在各种调制星座上具有良好的性能。     

衰落环境中数字调制识别仿真研究

调制方式的识别对于通信信号分析有着重要的作用。在现有有关调制识别的研究中,大部分都考虑的是加性高斯白噪声理想信道（AWGN）。文中通过仿真分析A．K．Nandi和E．E．Azzouz提出的数字调制识别算法（DMRAs）在衰落信道中的性能,详细研究了衰落信道特性对调制识别的影响。最后,得出了一些具有规律性的结论,对进一步深入研究衰落信道中调制识别技术具有一定的指导意义。     

衰落信道盲接收条件下的调制分类

该文针对衰落信道下调制识别算法预处理要求高的问题,提出了一种基于循环平稳性检测的调制分类算法,提升了盲接收环境下的分类效果。算法以信号的循环频率为特征,结合循环平稳性检测,实现了OFDM, PSK, FSK等常见数字调制信号的区分。算法无需各种参数估计以及同步等预处理过程,理论推导及仿真结果证明,能够实现低信噪比衰落信道条件下信号的有效区分。该算法将有助于提升衰落信道中非合作接收条件下的信号分类能力。     

Cyclostationarity-Based Frequency Synchronization for OFDM Systems Over Doubly-Selective Fading Channels

Orthogonal frequency division multiplexing (OFDM) systems are highly sensitive to carrier frequency offset (CFO), especially in doubly-selective fading environment. Cyclostationarity-based blind synchronization methods are appealing in high-data-rate applications and low signal-to-noise regions. However, the cyclostationarity has not been exploited for frequency synchronization of OFDM systems under doubly-selective fading channels. In this paper, we derive the close-form second order cyclic statistics of the received OFDM signal in presence of CFO, by modeling the doubly-selective fading channel with basis expansion model. Both transmitter-induced cyclostationarity and doubly-selective channel information are contained in the derived cyclic moments, and they are efficiently utilized for CFO estimation. Simulation results demonstrate that the proposed estimator provides significant improvements on frequency synchronization performance.     

平坦衰落信道下的粒子滤波算法

粒子滤波器能够处理非线性和非高斯的问题，所以引起了人们的关注。当重要函数分别选取先验重要密度函数和混合重要密度函数时，对于平坦瑞利衰落信道下粒子滤波算法，仿真试验结果表明，无论是在高斯噪声还是非高斯噪声环境中，混合重要密度函数要优于先验重要密度函数。     

自适应Turbo-QAM编码调制及其在 平坦Nakagami衰落信道的吞吐量性能

本文提出了一种通用的自适应编码调制系统吞吐量性能分析方法.基于各固定编码调制方式的误码率(BER)性能,使每种编码调制方案对应于一个信道平均信噪比(SNR)范围,再应用拉格朗日函数法得到使自适应编码调制系统吞吐量性能最大的信噪比转换门限,可得到系统的平均吞吐量性能.数值分析结果表明,相对于自适应M进制正交幅度调制(MQAM),自适应Turbo编码MQAM系统吞吐量性能有显著提高,并且该性能受瞬时误码率要求的影响较小.Nakagami信道中,在相同平均信道信噪比条件下,随着m的增大,系统吞吐量性能提高缓慢.     

Adaptive Modulation over Nakagami Fading Channels

We first study the capacity of Nakagami multipath fading (NMF) channels with an average power constraint for three power and rate adaptation policies. We obtain closed-form solutions for NMF channel capacity for each power and rate adaptation strategy. Results show that rate adaptation is the key to increasing link spectral efficiency. We then analyze the performance of practical constant-power variable-rate M-QAM schemes over NMF channels. We obtain closed-form expressions for the outage probability, spectral efficiency and average bit-error-rate (BER) assuming perfect channel estimation and negligible time delay between channel estimation and signal set adaptation. We also analyze the impact of time delay on the BER of adaptive M-QAM.     

频率选择性衰落对几种数字调制方式的影响

本文基于两径模型，给出了几种常用数字调制方式在频率选择性衰落信道中的误码基底的显式表达，讨论了瑞利衰落与其他衰落分布及相干与非相干两种解调方式的影响，并在此基础上分析了时延扩展、限带滤波器、分集及前向纠错编码的作用。     

衰落信道下Turbo网格编码调制在图像传输中的性能研究

基于Turbo码和网格编码调制的特点,该文分析了TTCM的具体编译码方法,并分析比较了TTCM在8PSK调制下结合两种典型映射方案UP(Ungerboeck Partitioning),BP(BlockPartitioning)在Rayleigh信道中用于静态图像传输时的性能,给出了计算机仿真结果和评价图像传输质量的峰值信噪比(PSNR).     

快衰落信道中的差分空时调制

利用基扩展模型,针对平坦快衰落信道提出了差分空时调制方法.它不仅可避免这类信道中难于实现的信道估计,而且可同时获得由多发射天线提供的满空间分集以及由快衰落信道提供的最大Doppler分集.仿真结果验证了设计的优越性.     

Soft Decoding Assisted SNR Estimation Under Block Fading Channels for Orthogonal Modulations

The performance of the coded orthogonal modulation (OM) system under slow fading channels heavily depends on the estimation of the signal-to-noise ratio (SNR), including the fading amplitude and the noise spectral density. However, a relatively long packet of pilot symbols is often required to guarantee the accuracy of the SNR estimation, which makes it impractical in some situations. To address this problem, this paper proposes an iterative SNR estimation algorithm using the soft decoding information based on the expectation-maximization algorithm. In the proposed method, a joint iterative loop between the SNR estimator and decoder is performed, where the extrinsic information generated by the soft decoder is employed to enhance the estimation accuracy and the SNR estimated by the estimator is used to generate the soft information to the decoder. Also, no pilot symbols are needed to estimate the SNR in the proposed estimator. The Cramer–Rao lower bound (CRLB) of fully data-aided (FDA) estimation is derived to works as the final benchmark. The performance of the proposed algorithm is evaluated in terms of the normalized mean square errors (NMSEs) and the bit error rates (BERs) under block fading channels. Simulation results indicate that the NMSE of the proposed estimator reaches the CRLB of the FDA estimator and outperforms that of the approximate ML (ML-A) estimator proposed by Hassan et al. by 4.1 dB. The BER performance of coded OM system with the proposed estimation algorithm is close to the ideal case where the channel fading and the noise spectral density are known at the receiver.     

平坦衰落信道下一种基于进化粒子滤波的盲检测器

该文针对平坦瑞利衰落信道下的盲粒子滤波检测器存在的样本贫化问题,提出了一种基于进化粒子滤波的盲检测方法。在粒子滤波的重采样阶段,引入进化规化思想,即采用进化粒子滤波的方法解决样本的贫化现象,从而构成了一种基于进化粒子滤波的盲检测器。仿真结果表明,在信道模型系数未知条件下,该检测器的误码率性能较盲粒子滤波检测器优越,接近已知信道模型系数情况下的混合卡尔曼滤波检测器性能。     

衰落信道下基于线性预测的迭代解调及译码技术:Turbo DPSK

本文针对移动通信中常见的衰落信道的特点,提出了一种基于信道增益线性估计的Turbo DPSK解调、译码技术.其特点是在进行信道增益的线性估计时无需知道信道的自相关函数,可简化接收机的复杂度.同时在系统中引入Per-Survivor Process(PSP)和迭代译码技术,充分利用每次迭代后的信息进一步提高系统的性能.计算机仿真表明,采用这种基于线性信道估计的Turbo DPSK系统有很好的抗衰落性能.     

Asymptotic Performance of Linear Receivers in MIMO Fading Channels

Linear receivers are an attractive low-complexity alternative to optimal processing for multiple-antenna multiple-input multiple-output (MIMO) communications. In this paper, we characterize the information-theoretic performance of MIMO linear receivers in two different asymptotic regimes. For fixed number of antennas, we investigate the limit of error probability in the high-signal-to noise-ratio (SNR) regime in terms of the diversity-multiplexing tradeoff (DMT). Following this, we characterize the error probability for fixed SNR in the regime of large (but finite) number of antennas.As far as the DMT is concerned, we report a negative result: we show that both linear zero-forcing (ZF) and linear minimum mean- square error (MMSE) receivers achieve the same DMT, which is largely suboptimal even in the case where outer coding and deAcircnot coding is performed across the antennas. We also provide an apAcircnot proximate quantitative analysis of the markedly different behavior of the MMSE and ZF receivers at finite rate and nonasymptotic SNR, and show that while the ZF receiver achieves poor diversity at any finite rate, the MMSE receiver error curve slope flattens out progressively, as the coding rate increases. When SNR is fixed and the number of antennas becomes large, we show that the mutual information at the output of an MMSE or ZF linear receiver has fluctuations that converge in distribution to a Gaussian random variable, whose mean and variance can be characterized in closed form. This analysis extends to the linear reAcircnot ceiver case a well-known result previously obtained for the optimal receiver. Simulations reveal that the asymptotic analysis captures accurately the outage behavior of systems even with a moderate number of antennas.     

衰落信道下基于支持向量机的调制识别方法

本文以四阶累积量为特征参数,采用支持向量机(SVM)将分类特征值映射到高维空间中,并构建最优分类超平面,实现对QPSK、16QAM、64QAM和OFDM四种信号的自动调制识别。分析了AWGN信道、Rayleigh衰落信道和Nakagami衰落信道对四阶累积量的影响,推导并给出了经过衰落信道后四阶累积量的表达式。基于支持向量机的调制识别方法解决了特征样本在低维空间的不可分问题,仿真结果表明,在SNR低于10dB时,该方法的性能明显优于决策树方法,信噪比大于等于0dB时,各种信号的调制识别率在90%以上。      

Redesigned Spatial Modulation for Spatially Correlated Fading Channels

In this paper, a new variant of Spatial Modulation (SM) Multiple-Input Multiple-Output (MIMO) transmission technique, designated as Redesigned Spatial Modulation (ReSM) has been proposed. In ReSM scheme, a dynamic mapping for antenna selection is adopted. This scheme employs both single antenna as well as double antenna combinations depending upon channel conditions to combat the effect of spatial correlation. When evaluated over spatially correlated channel conditions, for a fixed spectral efficiency and number of transmit antennas, ReSM exhibits performance improvement of at least 3 dB over all the conventional SM schemes including Trellis Coded Spatial Modulation (TCSM) scheme. Furthermore, a closed form expression for the upper bound on Pairwise Error Probability (PEP) for ReSM has been derived. This has been used to calculate the upper bound for the Average Bit Error Probability (ABEP) for spatially correlated channels. The results of Monte Carlo simulations are in good agreement with the predictions made by analytical results. The relative gains of all the comparison plots in the paper are specified at an ABER of 10^?4.     

Concatenated Trellis Coded Modulation for Quasi-Static Fading Channels

In this paper, we present a novel concatenated trellis coded modulation (CTCM) scheme for limited diversity order fading channels. Examples for such channels include those encountered in indoor wireless networks like IEEE 802.11. It is first shown that when the diversity order afforded by the channel is fixed, bit interleaved coded modulation (BICM) is no longer the best way to encode. We then develop CTCM, which is superior to both BICM and conventional TCM of similar complexities. Unlike conventional TCM where convolutional codes are designed over modulated signal sets, CTCM has TCM concatenated to short length inner codes. Each trellis branch in the TCM now corresponds to a short block-code. We discuss design of good inner codes that allow for simple decoders. CTCM design incorporates useful features of both BICM and conventional TCM. Code design is explained with examples. Simulation results and information theoretic supporting the arguments are shown.     

Block-Differential Modulation Over Doubly Selective Wireless Fading Channels

Block-Differential Modulation Over Doubly Selective Wireless Fading Channels Differential encoding is known to simplify receiver implementation because it bypasses channel estimation. However, over rapidly fading wireless channels, extra transceiver modules are necessary to enable differential transmission. Relying on a basis-expansion model for time- and frequency-selective (doubly selective) channels, we derive such a generalized block-differential (BD) codex and prove that it achieves maximum Doppler and multipath diversity gains, while affording low-complexity maximum-likelihood decoding. We further show that existing BD systems over frequency-selective or time-selective channels follow as special cases of our novel system. Simulations using the widely accepted Jakes model corroborate our theoretical analysis.