一种新型最佳接收机设计方法

提出了一种提高接收机性能的新方法。该方法通过对信道传输信号波形的特征参数测量,分析传输信号的成形方式,根据成形参数设计最佳接收滤波器,有效降低码间串扰和信道噪声对接收机性能的影响,并在噪声信道环境下进行了仿真研究,使用了采样统计方差、信噪比和眼图3种方法对接收机性能进行分析,结果表明,该方法能够有效提高接收机的性能。     

一种自适应遗传整定PID控制的无线充电系统控制策略

给出了一种基于自适应遗传整定PID(AGT-PID)控制算法的无线充电系统控制策略,在MATLABSimulink中完成了整个系统的仿真,并基于FPGA完成无线充电系统的测试。当调节信号下达时,AGT-PID控制器将处理后的输出电压值与目标调节值进行对比并对误差值进行遗传迭代。AGT-PID控制器通过对目标函数权值的自适应调整得到适应度函数,完成PID参数的自适应整定,最终提升了无线充电系统的控制稳定性及控制精度。验证结果表明:当调节信号下达后,所提出的控制方法能够满足无线充电系统的功率需求,建立时间少于2 ms,超调小于4%,稳态误差低于1%,满足无线充电系统的设计规格和稳态性能要求。     

信道时变性对无线激光通信系统的性能影响研究

信道时变性对无线激光通信系统性能具有强干扰影响,因此,提出基于信道时变均衡控制的无线激光通信系统性能优化方法.构建无线激光通信系统的时变信道模型提取信道时变性特征,以此建立无线激光通信系统传输的输出信道衰落特征估计模型进行抗干扰抑制,分析信道时变性对无线激光通信系统相关指标参数的影响,通过Matlab仿真分析进行性能测...     

大规模MIMO时分双工系统的基站天线互易校准算法

对于采用大规模MIMO技术的时分双工系统,基站天线的互易误差会破坏上下行基带信道互易特性,大幅降低系统下行传输性能。考虑到大规模MIMO技术所带来的基站天线间的耦合效应,该文设计了基于总体最小二乘估计的基站天线互易校准算法,以实现对基站的天线互易误差的补偿。该算法以增加计算复杂度为代价,以及通过增加信道测量样本,克服了上下行信道估计误差对现有天线互易误差校准算法的影响。同时,该文通过瑞利商迭代求解降低了该算法的复杂度。若忽略用户天线互易误差,计算机仿真结果表明,该算法相对于现有的基站天线互易误差校正算法,具有1.8 dB左右的性能增益。若考虑用户天线互易误差,该算法相对于已有的算法,具有随信道估计误差方差减小而增大的增益。     

DVB-T系统中信号的迭代检测方法

针对多径信道环境下的DVB-T系统,给出了数学期望最大(EM)算法迭代检测发送信号的方法,初始信道的频率响应采用最大似然(ML)和最小均方误差(MMSE)方法进行估计.由于该方法需要知道信道的统计特性,因此还给出了信道协方差矩阵和当前噪声功率的估计方法.仿真结果表明,利用估计的信道统计信息,系统的性能可以接近理想信道的性能.     

OFDM系统中抗非线性失真的迭代信道估计算法

针对OFDM系统中信号限幅滤波造成的信道估计性能下降,提出了一种基于梳状导频的迭代估计算法。该算法迭代估计信号中的非线性噪声,并据此补偿信号的非线性失真,提高信道再估计的性能。推导出了该算法在限幅预畸变系统中所能达到的理论均方误差下限,同时给出了初始信道估计的理论均方误差。仿真表明,该算法克服了由限幅滤波造成的性能瓶颈,且收敛速度快。与文献迭代信道估计算法相比,具有更强的抵抗峰均比抑制的能力。     

期望信号功率对MVDR算法性能的影响分析

当接收数据中存在期望信号时,即使是入射信号互相独立, 最小方差无失真响应（minimum variance distortionless response ,MVDR）算法性能都受期望信号功率的影响。在各入射信号相互独立的前提下,本文先是分析了期望信号功率对期望信号输出功率和干扰加噪声输出功率的影响,接着分析了该影响下的输出信干噪比（SINR,signal-to-interference-plus-noise ratio）以及它的收敛速度的变化情况。分析表明,输出SINR在一定范围内是随着期望信号功率的变大而增加,但是当期望信号功率变大到一定程度后,干扰被抑制的强度会随着期望信号功率的变大而减弱,从而导致输出SINR不再随期望信号功率的增大发生变化。SINR的收敛速度也随期望信号功率的增大而变慢。仿真验证了分析结果的有效性。      

基于EM-SBL迭代的稀疏SIMO信道频域盲均衡算法

针对单输入多输出系统下稀疏信道均衡问题,提出了一种新的基于最大似然准则的频域迭代均衡算法.首先将多天线联合均衡问题建模为非完整观测数据集下频域信号序列的最大似然估计问题,利用期望最大化算法进行近似迭代求解,最终得到各个单频信号加权求和形式的均衡输出表达式.在每次迭代过程中,算法依次完成均衡输出的更新和信道参数联合条件后验分布的更新.考虑到信道固有的稀疏特性,在求解信道参数联合条件后验时,引入具有稀疏促进作用的先验分布对信道系数加以约束,使用稀疏贝叶斯学习迭代求解信道参数联合条件后验.仿真结果表明,本文算法具有较好的收敛特性和稳态性能,在中高信噪比条件下可以获得接近信道已知条件下的稳态系统误符号率性能.     

OFDM-ROF下行链路的性能研究

OFDM技术与ROF技术结合为实现低成本、高速数据传输的移动网络提供了可能,但光纤链路的非线性以及无线信道的多径衰落降低了系统性能。在建立ROF下行链路的传输函数模型基础上,分析ROF下行链路对OFDM信号性能的影响。传输模型包括激光器,光纤链路以及无线信道。分析在不同光调制指数、光纤长度及无线多径信道下接收信号的误差矢量、三阶非线性失真和互调失真。仿真结果显示：随着调制指数、光纤长度的增加,以及无线信道的多径衰落使得接收信号性能下降。此分析为OFDM-ROF下行链路的线性化以及无线信道均衡方案选择提供了理论基础。     

基于EM的联合信道参数估计和数据检测算法

为提高OFDM系统的传输效率,考虑正交频分复用(OFDM)系统的特殊结构,该文提出一种使用少量导频的EM(Expectation Maximization)迭代信道参数估计算法。在每次迭代中不但更新信道冲激响应而且更新噪声方差的估计值。为进一步提高算法的收敛速度,提出联合信道参数估计和数据检测算法。仿真结果表明,在插入较少导频时,基于EM的信道估计算法仍能收敛到给定参数的信道,联合信道参数估计和数据检测算法迭代次数明显减少,并且保持系统的误码率性能不变。     

Design and analysis of an optimal controller for parallel multi-inverter systems

Optimal control methodology is applied to the design of the feedback loops of a multi-inverter uninterruptible power supplies system. The control signals thus obtained will minimize a performance index, which is a function of the output voltage error, the inductor currents of all inverters and the reference signals. This enables the controller to achieve the desired objectives like minimization of the circulating current and reduction of error of the output voltage. The robustness of the controller has also been investigated. Through frequency-domain analysis, it is shown that variations in the number of paralleled inverters in the system have only small influence on the performance of the system. Therefore, the optimal controller designed for a fixed number of inverters can also work well in systems with variable number of paralleled inverters. Three experimental 110 Vac/1.1 KVA inverters are built and paralleled to verify the analysis and theoretical predictions.     

Semiblind maximum-likelihood demodulation for CDMA systems

This correspondence addresses the problem of channel estimation and symbol detection in wireless direct-sequence code-division multiple-access (DS-CDMA) communication systems. We introduce a novel multiuser demodulation scheme that proceeds in two steps. First, the multiaccess channel parameters are estimated according to a suitable modification of the maximum-likelihood (ML) criterion using the expectation maximization (EM) algorithm. Subsequently, this estimate and other useful side information are employed to perform ML detection of the transmitted symbols with the Viterbi algorithm. Our main contribution is the development of a novel stochastic ML method for channel estimation that takes advantage of all the available statistical information referred to the transmitted signals and channel noise. Additionally, it can incorporate the knowledge of a fraction of the transmitted symbols; hence, the term semiblind. Computer simulation results are presented that show how close-to-optimum performance is achieved in time-dispersive fading channels using remarkably short training sequences     

A covariance shaping framework for linear multiuser detection

A new class of linear multiuser receivers, referred to as the covariance shaping multiuser (CSMU) receiver, is proposed, for suppression of interference in multiuser wireless communication systems. This class of receivers is based on the recently proposed covariance shaping least-squares estimator, and is designed to minimize the total variance of the weighted error between the receiver output and the observed signal, subject to the constraint that the covariance of the noise component in the receiver output is proportional to a given covariance matrix, so that we control the dynamic range and spectral shape of the output noise. Some of the well-known linear multiuser receivers are shown to be special cases of the CSMU receiver. This allows us to interpret these receivers as the receivers that minimize the total error variance in the observations, among all linear receivers with the same output noise covariance, and to analyze their performance in a unified way. We derive exact and approximate expressions for the probability of bit error, as well as the asymptotic signal-to-interference+noise ratio in the large system limit. We also characterize the spectral efficiency versus energy-per-information bit of the CSMU receiver in the wideband regime. Finally, we consider a special case of the CSMU receiver, equivalent to a mismatched minimum mean-squared error (MMSE) receiver, in which the channel signal-to-noise ratio (SNR) is not known precisely. Using our general performance analysis results, we characterize the performance of the mismatched MMSE receiver. We then treat the case in which the SNR is known to lie in a given uncertainty range, and develop a robust mismatched MMSE receiver whose performance is very close to that of the MMSE receiver over the entire uncertainty range.     

水下复合信道对GMSK无线光通信系统性能的影响

The absorption and scattering of light in seawater channel cause signal attenuation, and the turbulence of seawater causes signal amplitude fluctuation, both of which will reduce the bit error rate (BER) performance of underwater wireless optical communication (UWOC) system. The effects of the two channel characteristics on the signal performance were considered comprehensively, and a method was proposed to equate the transmission distance and turbulence probability density function to the system signal-to-noise ratio (SNR) and turbulence noise, and then the signal attenuation and turbulence noise were combined into the signal waveform to establish the underwater composite channel signal transmission model. According to the experimental system parameters, the signal transmission waveforms of Gaussian minimum frequency shift keying (GMSK) modulation under composite channel were simulated, and the one-bit difference demodulation algorithm was used to compare the demodulated waveforms with the original waveform, and the influence relationships of composite channel on the system BER performance was analyzed. The simulation experiment results show that, compared with on-off keying modulation (OOK), pulse position modulation (PPM), GMSK system can obtain the SNR gain of 3.3 dB, 4.8 dB respectively only in the attenuation channel with seawater attenuation coefficient of 0.151 m?1. Under the composite channel, GMSK modulation performance is superior to OOK modulation and PPM modulation. When the water attenuation coefficient is 0.151 m?1, and turbulence intensity variance is smaller than 0.16, GMSK modulation system has no error rate limit, the system BER is decided by signal attenuation and turbulence noise and Gaussian noise together, GMSK modulation achieves SNR gain of 4.35 dB compared with PPM modulation. Furthermore, turbulence intensity variance is greater than 0.16, system BER arrives limit, which value is determined by the turbulence intensity, and the limit value of BER increases nonlinearly with the increase of turbulence intensity.     

EM‐based iterative receiver for coded MIMO systems in unknown spatially correlated noise

We present iterative channel estimation and decoding schemes for multi‐input multi‐output (MIMO) Rayleigh block fading channels in spatially correlated noise. An expectation‐maximization (EM) algorithm is utilized to find the maximum likelihood (ML) estimates of the channel and spatial noise covariance matrices, and to compute soft information of coded symbols which is sent to an error‐control decoder. The extrinsic information produced by the decoder is then used to refine channel estimation. Several iterations are performed between the above channel estimation and decoding steps. We derive modified Cramer–Rao Bound (MCRB) for the unknown channel and noise parameters, and show that the proposed EM‐based channel estimation scheme achieves the MCRB at medium and high SNRs. For a bit error rate of 10⁻⁶ and long frame length, there is negligible performance difference between the proposed scheme and the ideal coherent detector that utilizes the true channel and noise covariance matrices. Copyright © 2006 John Wiley & Sons, Ltd.     

Ultra‐wideband multiple‐access relay channel with correlated noises and its diversity analysis

In this study, we investigate a new and practical model, ultra‐wideband Slepian–Wolf multiple‐access relay channel (UWB‐SW‐MARC) with correlated noises at the relay and receiver, which includes two important models, that is, UWB‐SW multiple‐access channel with correlated noises and UWB relay channel with correlated noises, as its special cases. We derive a general rate region for UWB‐SW‐MARC and obtain an outer bound for this model and, thereby, prove two certain capacity theorems for two important and different classes of MARC. Also, we analyze outage probability and diversity gain as the practically important concepts in wireless communications and prove that adding a relay to the multiple‐access channel improves the diversity gain. Finally, we evaluate some results numerically and illustrate that the noise correlation coefficient plays an important role in determining the relay position, and show that the channel performance depends on the noise variances. Copyright © 2014 John Wiley & Sons, Ltd.     

基于跟踪微分器的模型参考自适应控制

为了处理二阶系统模型参数的大范围不确定性,提出了基于跟踪微分器的模型参考自适应控制,利用两个非线性跟踪微分器分别得到系统输出的微分信号和误差的微分信号,同时抑制了高频噪声放大效应。根据被控对象的数学模型,自适应调节律能自动实时调节控制律中的参数。实验结果表明,当雷达伺服系统被控对象模型的参数在较大范围内变化时,该新型控制器有效补偿了二阶系统参数的不确定性,提高了伺服系统稳态和动态跟踪精度,保证了系统的全局渐近稳定。     

Analytical modeling and simulation of phase noise interference inOFDM-based digital television terrestrial broadcasting systems

This paper deals with the problem of modeling of phase noise in OFDM systems and the impact it may have on the bit error rate performance of such systems subject to a number of system variables and to a number of channel conditions which may be encountered when such systems are deployed for certain applications such as high speed wireless LANs and Digital Television Terrestrial Broadcasting (DTTB). The phase noise processes, the sources of which are the transmitter's and receiver's local oscillator, are modeled using what is believed to be commercially realizable phase noise masks. Such masks represent the long-term averaged power spectral densities of the local oscillator output signal     

Adaptive rate Zigzag coding in interference channels

In practice, channels in wireless communication systems are time-variable. Because of the variability of the channels in wireless systems and networks, the performance of error-control coding can be improved by adapting the rate of the code to the channel conditions. Thus, the bit-error performance of error-control coding system can be improved. In this study, an adaptive rate error control coding with concatenated Zigzag coding is investigated. The bit-error-rate performance of the adaptive rate Zigzag coding system is evaluated for channels with interference and noise.     

Efficiency-Optimized Speed Control System with Feed-Forward Compensation

A partial-state and an output feedback control system synthesis method with feed-forward compensation, which doesn't make use of the state observer procedure, are proposed. These are applied to an efficiency-optimized speed control system of a dc motor system. This leads to a decrease in the number of current detectors of the motor system and the channel of the A/D converter. Although they are useful in practice, these control systems are, to some extent, susceptible to noise due to the inclusion of high-order difference actions in the controller. It is inevitable that the transient response becomes slow if the weighting factors in the performance index are chosen so that the influence of noise is decreased. The feed-forward compensation is useful for improvement on the transient response of the control system. But, the feed-forward compensation method for the partial-state or the output feedback control system has not been proposed until now. In this paper, the feed-forward compensation method, which can be applied to all the control systems, is proposed and the effectiveness is examined experimentally. Also, the influence of noise for each control system and the improvement of the efficiency are investigated experimentally.