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.     

大气湍流影响下基于自适应判决门限的逆向调制自由空间光通信系统误码率性能分析

推导了最优误码率(BER)性能对应的判决门限计算公式,并在此判决门限基础上,推导出大气湍流影响下基于自适应判决门限的逆向调制(MRR)自由空间光通信(FSOC)系统BER解析表达式,推导过程考虑了判决门限本身的干扰和探测器噪声的影响。根据所推导的表达式,仿真研究自适应判决门限参数和调制消光比对BER的影响,仿真结果表明:自适应判决门限系统BER性能优于固定判决门限17.5dB(误码率为10-5,弱湍流),并且当训练数据比特位数大于3时,自适应判决门限系统的BER性能与根据瞬时信道状态信息计算判决门限系统的BER性能相近。     

一种改进的短波高速串行信号检测算法

文章对短波高速串行信号的相关检测进行分析.首先分析了固定门限判决和自适应门限判决,在此基础上综合二者提出固定门限与自适应门限相结合的混合门限判决方法.经过仿真实验表明,该混合门限算法综合了固定门限与自适应门限的优点,在短波信道下低信噪比时综合性能有较大改善.     

自适应技术在CO-OFDM多模光纤通信系统的应用

在相干光正交频分复用(CO-OFDM)多模光纤通信系统中应用自适应技术能优化系统的性能,构建自适应CO-OFDM多模光纤通信系统,提出一种基于光信噪比(OSNR)门限分配算法的子带自适应调制技术.结果表明:使用自适应调制技术可以有效地克服信道深衰落点的影响.21.4Gb/s传输200km误码率(BER)为10-3时,系...     

IEEE802．16d系统中自适应调制编码技术的应用研究

针对IEEE802．16d物理层标准,文章提出了适用于IEEE802．16d系统的自适应调制编码方案,包括调制编码方式、MCS切换门限的设置方法、信道信噪比SNR估计方法,并对采用分组Turbo码作为前向纠错码的自适应调制编码技术在AWGN信道上的性能进行了Matlab仿真,结果表明：自适应调制编码技术在保证一定误码率的前提下能够有效地提高系统的吞吐量。     

多误码率固定速率OFDM自适应调制比特功率分配方法

一些应用中需要多误码率的固定速率OFDM自适应调制.本文首先对该多载波自适应调制需求中的比特功率优化分配问题建模,并进一步限定各OFDM子信道采用正交幅度调制(QAM),基于子信道调制比特的任意正实数和无限粒度假设详细分析了子信道集合划分和比特功率分配问题,由此得到一种实用的次最优子信道集合划分和比特功率分配方法.分析和仿真表明由于可得到比特分配的闭式表达,因此该方法计算复杂度低,且性能良好,是一种实用的多误码率固定速率OFDM自适应调制比特功率优化分配方法.     

无人机数据链自适应调制技术研究

根据无人机数据链对传输可靠性与传输速率的要求,在对自适应调制技术原理研究的基础上,探讨了自适应调制技术中的几个关键问题,主要包括信道估计和调制方式的判决准则。首先对信噪比估计模型进行分析,针对该模型利用最大似然估计法对信道的信噪比进行估计,对自适应调制判决准则进行了分析与仿真。仿真结果表明,采用基于信噪比门限判决自适应调制方法,可使无人机数据链在误比特率较低的情况下（10^-5）提高系统的信息传输容量。     

OFDM系统信道估计和自适应分配算法的研究

在多径衰落的信道中,用固定调制方式的分配技术可能会造成OFDM系统资源浪费,考虑如何将自适应分配技术与OFDM相结合成为提高移动通信性能的关键技术。本文中提出一种基于动态信噪比SNR切换门限的自适应算法,该算法在保证通信质量所需BER的前提下,结合OFDM和PSK/QAM调制方式的优势,按照各个子信道的状态分配比特信息量和功率大小,使所需要的发射功率达到最优化。本算法能提高OFDM的频谱利用率,也能使系统获得更优的性能。     

一种白适应比特分配的多速率MC—DS—CDMA

文中从充分利用信道分集特性的角度出发,给出了自适应调制技术在MC—DS-CDMA系统中的应用,提出了一种支持多速率业务的改进的MC-DS-CDMA传输方案。并在预知信道状态的前提下,对固定调制方式和采用了自适应调制的两种方案的误比特性能进行了仿真和比较,结果表明该算法与传统系统相比系统误比特性能有很大提高。     

OFDM传输中的子带自适应Turbo编码调制

为了在无线数据传输中获得更高的频谱利用率,提出了一种用于正交频分复用(OFDM)的基于容量估计的子带自适应Turbo编码调制方法。其目标是在恒定发送功率和目标误码率(BER)限制下优化系统吞吐。仿真表明,在发端完全信道估计下,此自适应OFDM方法比基于固定门限的自适应Turbo编码调制有2.5-5 dB的信噪比(SNR)增益。然而,时变信道中反馈信息的延时会带来自适应性能的恶化。文中接着通过研究表明,在子带自适应编码调制中,减少选取子带的个数,充分利用OFDM频域上的分集特性是一种可以降低信道时变带来性能恶化的有效途径。     

偏差补偿符号子带自适应滤波器

自适应滤波器在系统辨识、回声消除、信道均衡等领域获得了广泛应用.符号子带自适应滤波器（Sign Subband Adaptive Filter,SSAF）具有较强的抗脉冲干扰能力,但当输入信号受到噪声干扰时,其对未知系统系数向量的估计会产生偏差.为了解决上述问题,本文基于无偏估计准则,提出了一种偏差补偿符号子带自适应滤波器（Bias-Compensated Sign Subband Adaptive Filter,BC-SSAF）.为了解决定步长自适应滤波器需要在收敛速度和稳态失调之间进行折中的问题,本文采用随机梯度法来更新正则化参数,提出了变正则化参数偏差补偿符号子带自适应滤波器（Variable Regularization Bias-Compensated Sign Subband Adaptive Filter,VR-BC-SSAF）.仿真结果验证了BC-SSAF和VR-BC-SSAF性能的优越性.     

Performance Analysis of Adaptive Path Selective Decorrelating Detector with Channel Estimation Errors

The system complexity and noise enhancement due to the use of Multipath Decorrelating Detector (MDD) can be reduced by employing adaptive path selection technique. Adaptive Path Selective Decorrelating Detector (APSDD) requires knowledge of the channel coefficients for path selection. Generally, the channel coefficients are assumed to be known at the receiver. However, this is not realistic and the channel coefficients should be estimated. In this paper, we extend the Bit Error Rate (BER) analysis of the path selective receiver to include channel estimation errors.     

A queueing model for analysis of a bursty multiple-access communication channel

A bursty multiple-access communication channel with constrained total system bandwidth, total average power, and message error rates is considered. A stochastic model for the number of active transmitters is developed. Four schemes for the dynamic assignment of power and coding rate to active transmitters are considered and compared under the expected burst system time criterion. Necessary and sufficient conditions for system operation are given, and all schemes are shown to have the same saturation behavior. Adaptive coding rates are shown to enjoy substantial advantages over fixed coding; adaptive power assignment does not offer advantages over fixed power assignment.     

Performances of adaptive modulation and coding in satellite mobile channel

Given that satellite mobile channel is a time-varying channel,Adaptive Modulation and Coding (AMC) was proposed to provide robust and spectrally efficient transmission over satellite mobile channel.Three different kinds of channel environment were considered in this paper:the urban area,the rural area,and the open space.Four combinations of modulation and coding were designed to meet reliable communication on time-varying channel,and spectral efficiency and system throughput of these three kinds of channel environment were simulated.Based on the simulation results,this paper analysed the results and compared the performances of AMC with non-AMC system in these three kinds of channel environment.At last,we come to the conclusions:a system with AMC can achieve higher spectral efficiency and better system throughput; and the spectral efficiency and system throughput of AMC system will be higher on better satellite mobile channel.     

基于模糊控制的自适应幅相补偿控制系统

针对数字阵列在使用过程中存在的性能退化问题,利用模糊控制相关理论建立了自适应幅相补偿控制器模型,并设计了新型数字阵列自适应幅相补偿控制系统。该控制系统能够智能、实时地对数字阵列进行监测,并根据阵面状态对各通道幅相进行动态调整,实现数字阵列性能的优化。该系统在未来数字相控阵雷达设计中具有很大的工程意义。     

基于OFDM分组传输系统的频谱效率分析与比较

目前,移动通信系统主要受时频选择性信道的影响,这种信道是基于多径传输和多普勒频移的。为了抵制这两种信道的影响,本文分析了两种基于OFDM系统的技术,这就是利用TFL-CDMA码片映射模式的固定QAM系统和自适应QAM系统。本文主要探讨了几种模式下的频谱效率的问题。     

基于功率调度的在线建模自适应反馈控制系统的研究

自适应有源噪声控制是噪声控制中的一项先进技术。使用附加噪声建模的自适应控制系统会增加输出的残留噪声,而且还可能造成反馈控制系统发散。功率调度方法可以有效地减小残留噪声,增加系统的鲁棒性。根据是否使用功率调度方法,对2种在线次路径建模自适应反馈控制系统进行了研究,仿真结果表明采用功率调度方法的自适应反馈系统比不使用功率调度方法的反馈系统具有更好的降噪效果。     

1-persistent carrier sense multiple access in radio channels withimperfect carrier sensing

A comprehensive analysis of a 1-persistent carrier-sense multi-access (CSMA) system using a radio channel with imperfect carrier sensing is presented and discussed. It is shown that a careful optimization of the channel state detector parameters must be performed in order to get good system performance. If the threshold of the detector is too high, the system will tend to behave like an unslotted ALOHA; if the threshold is too low, the system throughput will be zero. It is also shown that for the larger average packet rate G the system throughput is decreased. This is because for the same probability of correct channel sensing, the probability of incorrect transmissions from the waiting mode is increased     

NACR: A New Adaptive Channel Reservation in Cellular Communication Systems

Future Personal Communication Networks (PCN) will employ microcells and picocells to support a higher capacity, thus increasing the frequency of handoff calls. Forced call terminations due to handoff call blocking are generally more objectionable than new call blocking. The proposed guard channel schemes for radio channel allocation in cellular networks reduce handoff call blocking probability at the expense of increases in new call blocking probability by giving resource access priority to handoff calls over new calls in call admission control. Under uniform traffic assumptions, it has been shown that a fixed number of guard channels leads to good performance results. In a more realistic system, non-uniform traffic conditions should be considered. In this case, the achieved call blocking probability may deviate significantly from the desired objective. In this paper, we propose a new adaptive guard channel scheme: New Adaptive Channel Reservation (NACR). In NACR, for a given period of time, a given number of channels are guarded in each cell for handoff traffic. An approximate analytical model of NACR is presented. Tabu search method has been implemented in order to optimize the grade of service. Discrete event simulations of NACR were run. The effectiveness of the proposed method is emphasized on a complex configuration.     

Subcarrier grouping with environmental sensing for MIMO‐OFDM systems over correlated double‐selective fading channels

Multiple‐Input, Multiple‐Output (MIMO)‐orthogonal frequency division multiplexing (OFDM) is a promising technique in 5G wireless communications. In high‐mobility scenarios, the transmission environments are time‐varying and/or the relative moving velocity between the transmitter and receiver is also time‐varying. In the literature, most of previous works mainly focused on fixed subcarrier group size and precoded the MIMO signals with unitary channel state information. In this way, the subcarrier grouping may naturally lead to big loss of channel capacity in high‐mobility scenarios because of the channel state information difference on the subcarriers in each group. To employ the MIMO‐OFDM technique, adaptive subcarrier grouping scheme may be an efficient way. In this paper, we first consider MIMO‐OFDM systems over double‐selective i.i.d. Rayleigh channels and investigate the quantitative relation between subcarrier group size and capacity loss theoretically. With developed theoretical results, we also propose an adaptive subcarrier grouping scheme to satisfy the preset capacity loss threshold by adjusting grouping size with the sensed environmental information and mobile velocity. Theoretical analysis and simulation results show that to achieve a better system capacity, a sparse scattering, lower signal‐to‐noise ratio, and lower velocity as well as properly large antenna number are matched with larger subcarrier group size. One important observation is that if the antenna number is too large and higher than a threshold, which will not bring any additional gain to the subcarrier grouping. That is, the system capacity loss will converge to a lower bound expeditiously with respect to antenna number, which is given in theory also. Copyright © 2016 John Wiley & Sons, Ltd.