多径信道中MPSK信号的调制识别算法

针对多径信道中MPSK信号的调制分类问题，提出一种新的基于高阶累量的分类算法，算法所用特征对平坦衰落信道具有衰落不变性，对频率选择性衰落信道也具有很强的抗多径能力。与已有方法相比，本文算法极大地降低了对多径信道冲激响应模式的限制，更具适应性。理论分析和计算机仿真试验都证明了新分类算法的稳健性和有效性。     

瑞利衰落信道下MPSK信号调制方式识别

调制识别是非协作通信系统接收机设计中的重要研究课题。在实际环境中,噪声和信道衰落是影响信号调制方式识别的重要因素。针对瑞利衰落信道上MPSK较难识别的情况,提了基于似然比的识别算法,并根据最大似然准则对瑞利信道的参数进行了估计完成对2种调制信号的识别。仿真结果表明:在存在高斯白噪声的瑞利衰落信道的环境下,以BPSK和QPSK为例,正确识别率达到90%。     

基于迭代的置信传播编码调制在瑞利衰落信道中的性能

该文提出一种结合低密度校验码(LDPC)和MQAM星座的置信传播编码调制方案,并对其在瑞利衰落信道下成对差错概率及最优星座选择进行了分析。为防止过多错误反馈造成译码失效,提出采用内、外双重迭代方式提高系统的鲁棒性。同时把LDPC码校验矩阵作为迭代终止判决准则,降低了迭代算法的平均复杂度。与其他3种方案相比,仿真结果证明了该方案能显著提高系统性能。     

航空信道下MPSK类信号的调制识别

信号自动调制识别的现有研究主要集中在AWGN、Rayleigh等理论信道模型中。为了解决实际航空通信中信号调制识别问题,首次针对超短波工作频段的时变航空信道对此类问题进行研究。首先论述航空信道模型和天线分集理论技术,然后将经典的高阶累积量算法分别用于不同的飞行状态中,提取MPSK类信号的分类特征进行识别,同时结合天线分集技术提高接收端信号的信噪比,从而有效的弥补了时变信道中多普勒频移和多径衰落的影响。仿真结果将不同飞行状态下分集前后的情况进行对比表明,新算法可以实现在时变航空信道环境下对MPSK类信号的分类识别,且具有良好的抗衰落及抗噪声性能,天线分集技术的运用明显改善了接收信号的质量,提高了识别正确率。      

平坦瑞利衰落信道下MDPSK判决反馈差分检测

本文主要介绍了在平坦瑞利衰落信道下,MDPSK的判决反馈差分检测DF—DD（decision—feedback differential detection）。通过对多符号距离量度的计算,得出了DF—DD的距离量度,通过分析得出,DF—DD算法等效于是接收端采用了反馈FIR滤波器。最后通过仿真得出．在理想带宽受限的衰落条件下,传统差分解调中存在的误差平底是可以消除的,并仿真了在两种不同的量度系数的条件下,系统的性能变化趋势。     

Turbo码在瑞利衰落信道中的算法改进

从Turbo码在加性高斯白噪声（AWGN additive white Gaussian noise）信道下的理论分析出发，讨论了Turbo码在瑞利衰落信道下的算法改进。     

GLSFBC-OFDM信号调制识别算法

提出了频率选择性衰落信道条件下区分GLSFBC结构的多载波信号(OFDM)和单载波信号(MFSK、MPSK、MQAM)的调制识别算法。该算法基于接收信号的高阶累积量,只需直接对接收的中频信号进行识别处理,不需要发射信号和信道的先验知识。仿真结果表明,在SNR高于7 dB时识别率可以达到90%。     

一种多径信道下的OFDM信号盲识别算法

提出了一种新的OFDM信号盲识别算法,由于多载波OFDM信号在时域上具有渐进高斯特性,而单载波信号没有这样的特点。对传统算法进行了改进,提出利用四阶累积量构造识别参数来分类OFDM信号与单载波信号,该参数具有对多径信道不敏感的特点。仿真证明,该算法具有抗多径能力强,识别率高的优点。     

基于Simulink的平坦瑞利衰落信道的建模与性能分析

该文利用Simulink建立了平坦瑞利衰落信道仿真模型,分别给出无信道编码和有信道编码两种情况下的建模仿真与性能。信道编码采用卷积码,译码算法采用Viterbi译码。仿真结果表明:在无信道编码情况下,由于深度衰落的影响,平坦瑞利衰落信道的误码性能与信噪比成线性关系,这与理论分析结果相一致。而基于卷积码的平坦瑞利衰落信道的性能在高信噪比有明显改善,但低信噪比改善有限。同时,仿真中给出不同的约束长度的卷积码,仿真表明卷积码的约束长度越长性能越好。     

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。      

Unitary space-time modulation for multiple-antenna communicationsin Rayleigh flat fading

Motivated by information-theoretic considerations, we propose a signaling scheme, unitary space-time modulation, for multiple-antenna communication links. This modulation is ideally suited for Rayleigh fast-fading environments, since it does not require the receiver to know or learn the propagation coefficients. Unitary space-time modulation uses constellations of T×M space-time signals (Φ_i, l=1, ..., L), where T represents the coherence interval during which the fading is approximately constant, and Mi are orthonormal. When the receiver does not know the propagation coefficients, which between pairs of transmitter and receiver antennas are modeled as statistically independent, this modulation performs very well either when the signal-to-noise ratio (SNR) is high or when T≫M. We design some multiple-antenna signal constellations and simulate their effectiveness as measured by bit-error probability with maximum-likelihood decoding. We demonstrate that two antennas have a 6-dB diversity gain over one antenna at 15-dB SNR     

Design of efficient coding and modulation for a Rayleigh fading channel

The design of a coding/modulation structure for digital communications over a Rayleigh fading channel, the structure of the corresponding decoder, and the error rate performance of the resulting system are considered. Emphasis is on the use of constant weight codes for constructing equal energy waveforms for transmission over the channel. The performance gains that are achieved by the integrated coding/modulation approach relative to conventional methods for obtaining diversity are illustrated via some examples. Of special interest is the use of a concatenated coding technique for forming codes of large distance and hence high diversity. A new decoding algorithm is applied to enable efficient decoding of the concatenated code. An example is included that shows a performance increase of several dB resulting from concatenation.     

Multiuser decision-feedback receivers for asynchronous CDMA systemsover a mismatched flat Rayleigh fading channel

In this paper, the design of decision-feedback multiuser (DFM) receivers for asynchronous code-division multiple access (CDMA) systems over a mismatched flat Rayleigh fading channel is studied, and tight upper and lower bounds on the pair-wise symbol-error probability, which has been averaged over the channel fading, time delays, and phase angles, are derived for some of the DFM detection schemes. The performance bounds, which are computed by efficient analytic techniques, can serve as reliable references for CDMA system design. It is shown that the proposed system, which takes into account the effect of mismatched fading on the system design, has some gain over the system where the estimation of fading is assumed to be exact     

一种短波信道中数字信号调制方式识别算法

短波天波信道存在多径效应及冲击和高斯噪声.针对短波信道特点,提出先利用零记忆非线性系统抑制冲击噪声,后分段盲均衡,基于最大后验概率识别的分类方法.零记忆非线性系统可抑制冲击噪声,而让信号无失真通过.分段均衡减弱信道时变和参数估计误差对均衡器影响.由于冲击噪声的瞬时性和信道时变性,使每段信号均衡效果并不一样,采用最大后验概率的方法选用均衡效果最好的一段信号识别.仿真表明,在典型短波信道且含有冲击噪声情况下,信噪比10 dB时,平均识别概率大于90%,该算法适合在实际中应用.     

Impact of channel prediction on adaptive coded modulation performance in Rayleigh fading

Adaptive coded modulation (ACM) is a promising tool for increasing the spectral efficiency of time-varying mobile channels while maintaining a predictable bit-error rate (BER). An important restriction in systems with such a transmission scheme is that the transmitter needs to have accurate channel-state information (CSI). Earlier analysis of ACM systems usually assumes that the transmitter has perfect knowledge of the channel or that the CSI is accurate but outdated. In this paper, we investigate the effects of predicting the CSI using a linear fading-envelope predictor in order to enhance the performance of an ACM system. For the case in which multidimensional trellis codes are used on Rayleigh-fading channels, we obtain approximative closed-form expressions for BER and average spectral efficiency. Numerical examples are given for the case of Jakes correlation profile and maximum a posteriori-optimal predictor coefficients.     

Discrete Rayleigh fading channel modeling

In order to understand the behaviour of upper‐layer protocols and to design or fine tune their parameters over wireless networks, it is common to assume that the underlying channel is a flat Rayleigh fading channel. Such channels are commonly modeled as finite state Markov chains. Recently, hidden Markov models have also been employed to characterize these channels. In this paper, we study the different models that have been proposed along with the analysis of their validity. We start by presenting some preliminary concepts related to the modeling of the wireless communications channel. We then proceed to introduce finite state Markov channel models (FSMCs) along with the relations between them and the modulation schemes, error control protocols and channel coding. We propose and study the effects of taking into account the fading process in its characterization. We finish with a discussion on hidden Markov models for Rayleigh fading channel modeling. Copyright © 2004 John Wiley & Sons, Ltd.     

Impact of channel estimation error on adaptive modulation performance in flat fading

Presented here is an approach to analyzing the effect of imperfect channel estimation on adaptive modulation. The sensitivity of the main performance parameters to short-term and long-term estimation error sources is summarized in a set of new formulas that are either closed-form expressions or simple to compute numerically.     

基于连续相位调制的协同分集系统在平坦衰落信道下的容量分析

连续相位调制(CPM)由于其相位连续和恒包络,可以使用低成本的非线性功率放大器,且CPM信号有近于1的峰均功率比,在放大器处产生的能量消耗小,从而解决协同系统中移动终端的成本和能量受限问题。本文针对平坦衰落信道下的CPM协同通信系统,研究了可表征系统容量下界的对称信息率(SIR)。分析和数值结果表明,协同CPM系统与单入单出CPM系统相比,能获得更大的信道容量,同时还拥有更低的中断概率。进一步地,以最大化系统遍历容量为目标,在考虑路径损耗的条件下,对系统的最优中继位置问题进行了讨论。分析和数值结果表明,对比中继位置在对称中点的系统,最优中继位置系统的信道容量获得明显提升。进一步,研究了信道估计误差和SNR估计误差对CPM协同通信系统的容量的影响。     

On the use of first-order autoregressive modeling for Rayleigh flat fading channel estimation with Kalman filter

This letter deals with the estimation of a flat fading Rayleigh channel with Jakes's spectrum. The channel is approximated by a first-order autoregressive (AR(1)) model and tracked by a Kalman filter (KF). The common method used in the literature to estimate the parameter of the AR(1) model is based on a correlation matching (CM) criterion. However, for slow fading variations, another criterion based on the minimization of the asymptotic variance (MAV) of the KF is more appropriate, as already observed in few works (Barbieri et al., 2009 [1]). This letter gives analytic justification by providing approximated closed-form expressions of the estimation variance for the CM and MAV criteria, and of the optimal AR(1) parameter.     

平坦慢衰落信道下基于HOS的PSK调制盲信道估计

提出一种基于符号高阶统计量（HOS, high-order statistics）的MPSK调制信道衰落系数盲估计算法。针对平坦慢衰落信道模型,首先分析了MPSK调制符号高阶统计量特征,证明了MPSK调制符号的M次方符号的值是唯一的,而当1≤M′相似文献