Improved Space-Time Selective Interference Cancellation Scheme for CDMA Systems

IntroductionAdaptiveantennaarrayscanreduceco channelinterference (CCI)fromotherusersaswellasmitigatetheeffectofmultipathfadinginwirelessenvironments .SinceCDMAsystemsareinterferencelimitedinnature ,smartantennahasbeenregardedasoneofthecoresystemcomponents…     

State inspection for transmission lines based on independent component analysis

Monitoring transmission towers is of great importance to prevent severe thefts on them and ensure the reliability and safety of the power grid operation. Independent component analysis (ICA) is a method for finding underlying factors or components from multivariate statistical data based on dimension reduction methods, and it is applicable to extract the non-stationary signals. FastICA based on negentropy is presented to effectively extract and separate the vibration signals caused by human activity in this paper. A new method combined empirical mode decomposition (EMD) technique with the adaptive threshold method is applied to extract the vibration pulses, and suppress the interference signals. The practical tests demonstrate that the method proposed in the paper is effective in separating and extracting the vibration signals.     

Robust ergodic rate transmission for time division duplex beamforming systems

In time division duplex(TDD)beamforming systems,the base station estimates the channel state information(CSI)at transmitter based on uplink pilots and then uses it to generate the beamforming vector in the downlink transmission.Because of the constraints of the TDD frame structure and the uplink pilot overhead,there inevitably exists CSI delay and channel estimation error between CSI estimation and downlink transmission channel,which would degrade system ergodic rate.In this paper,we propose a robust ergodic rate transmission scheme,in which the uplink pilot time interval(UPTI)of an active user is adaptively adjusted according to the changing channel conditions such as Doppler frequency shift,uplink pilot signal to noise ratio(SNR),to minimize the impact of CSI delay and channel estimation error on the ergodic rate of TDD beamforming systems.In order to get the optimal UPTI,we first derive the average post-processing SNR for TDD beamforming systems with channel estimation error and CSI delay.We then obtain the optimal UPTI,which maximizes the average post-processing SNR,given the normalized pilot overhead(the number of pilot symbols per data symbol).The numerical simulation results validate that the the proposed robust ergodic rate transmission scheme not only maximizes the average post-processing SNR but also maximizes the system ergodic rate.Moreover,the scheme can adapt well to the changing channel environments compared with the current fixed UPTI scheme.Especially our research is valuable for the uplink sounding reference signal design in long term evolution advanced(LTEAdvanced)system.     

Code-aided interference suppression in direct sequence spread spectrum systems with eigenvector sign spreading code

For direct sequence spread spectrum (DSSS) communication systems suffering interference, it is known that code-aided interference suppression technique outperforms all of the previous linear or nonlinear methods. In this paper, we proposed an improved code-aided technique which can improve the system performance greatly by using the eigenvector sign (EVS) spreading sequence which depends on the statistical characteristics of the interference and the thermal noise. Foundation item: the National Natural Science Foundation of China (No. 60772100)     

ANALYSIS OF A CUMULANT-BASED 2D-RAKE RECEIVER FOR CDMA SYSTEM OVER FREQUENCY-SELECTIVE FADING CHANNELS

Code divisionmultipleaccess (CDMA )isaspread spectrummultipleaccessschemethatisex pectedtogainasignificantshareofthecellularmar ket.CDMAhasseveralattractivepropertiesforper sonalcommunications.Andifallmobileradiosig nalsarrivingatthebasestationaresynchronizedtowithinafraction ,thesynchronousCDMA (S CD MA)systemscanenhancethebandwidthefficiencytoa greaterdegreebyemployingorthogonalcodewords.However,S CDMAsystemshavefunda mentaldifficultieswhenutilizedinafrequency se lectivefadingenviron…     

地铁乘客信息系统TDD无线通信方案浅析

针对地铁乘客信息系统建设的现状与存在问题,提出TDD无线通信方案。与目前常用的车地无线通信WEAN技术系统比较,TDD新技术更能满足地铁高速运行的需求,具有良好地应用前景。     

五电平变频器仿真模型的建立

变频器在工农业、国防等领域做出巨大贡献的同时,也产生了一些显著的负面效应。PWM变频器在应用中会产生共模电压。共模电压在IGBT的高速开关期间会产生高频充放电电流,这个电流通过电机内部的寄生电容产生流入地线的漏电流。漏电流过大将对电源产生电磁干扰;感应的轴电压过高还会使电机轴承过早损坏,从而影响系统运行的可靠性。提出了一种新的五电平变频器模型,与两电平逆变器和被常规的脉宽调制控制的嵌位电压相比,所提出的五电平变频器可以使产生的共模电压从最大值到最小值之间明显的降低,并且不会使交流驱动电机的控制效果下降。     

基于加权核密度估计的自适应运动前景检测方法

为解决监控视频背景初始化过程中前景干扰的问题,提出了一种基于加权核密度估计(KDE)的自适应运动前景检测方法.该方法对时间域变化稳定的像素值进行加权,并利用核密度估计构建背景模型,避免了背景初始化过程中前景的干扰.基于该背景模型,提出了一种新的阈值设定策略.该策略根据前景空间分布的连续性自适应获得前景阈值,填充前景中的"孔",并更新阈值.实验结果表明:即使场景中存在运动前景,该方法能够在多种场景下获得90%以上的查准率和查全率,其性能优于传统的背景差法.      

用于稀疏系统辨识的改进惩罚LMS算法研究

基于加权零吸引因子最小均方算法（RZA-LMS）,提出了一种应用于系统辨识的新型自适应滤波算法（ARZA-LMS）。RZA-LMS通过在标准LMS算法迭代过程中添加零吸引因子,促进了滤波器小权系数的收敛,从而在辨识稀疏系统时,加快了算法的整体收敛速度。但是RZA-LMS算法中的零吸引因子,选择了固定的e,过于武断,降低了算法的鲁棒性。通过在参数e与误差信号e之间建立非线性关系,使零吸引因子在最小化MSE更具有灵活性,提出了一种改进的RZA-LMS,提高了对系统辨识的收敛速度和稳定性。最后,计算机仿真验证了新算法的性能明显优于原算法和若干现有稀疏系统辨识的方法。     

PIC-MF-based Iterative Receiver for Multiuser Space Frequency Block Coding Systems

A novel low-complexity iterative receiver for multiuser space frequency block coding (SFBC) system was proposed in this paper. Unlike the conventional linear minimum mean square error (MMSE) detector, which requires matrix inversion at each iteration, the soft-in soft-out (SISO) detector is simply a parallel interference cancellation (PIC)-matched filter (MF) operation. The probability density function (PDF) of PIC-MF detector output is approximated as Gaussian, whose variance is calculated with a priori information fed back from the channel decoder. With this approximation, the log likelihood ratios (LLRs) of transmitted bits are under-estimated. Then the LLRs are multiplied by a constant factor to achieve a performance gain. The constant factor is optimized according to extrinsic information transfer (EXIT) chart of the SISO detector. Simulation results show that the proposed iterative receiver can significantly improve the system performance and converge to the matched filter bound (MFB) with low computational complexity at high signal-to-noise ratios (SNRs).     

An Iterative Power Allocation Algorithm for Group-wise Space-Time Block Coding Systems

An iterative transmit power allocation (PA) algorithm was proposed for group-wise space-time block coding (G-STBC) systems with group-wise successive interference cancellation (GSIC) receivers. Group-wise interference suppression (GIS) filters are employed to separate each group's transmit signals from other interferences and noise. While the total power on all transmit symbols is constrained, all transmit PA coefficients are updated jointly according to the channel information at each iteration. Through PA, each detection symbol has the same post-detection signal to interference-and-noise ratio (SINR). The simulation results verify that the proposed PA algorithm converges at the equilibrium quickly after few iterations, and it achieves much lower bit error rates than the previous single symbol SIC PA and the fixed ratio PA algorithms for G-STBC systems with GSIC receivers .     

一种散斑干涉条纹的细化处理

干涉条纹的细化可以减少数据存贮量、提高处理速度,同时最重要的是提高干涉条纹的判读精度.但由于散斑干涉条纹的信噪比较低,常用的图像分割算法对干涉条纹的二值化都会存在一部分失真,针对散斑干涉条纹的灰度级成规律分布的特点,提出一种不对其采用阈值分割即把干涉条纹二值化的算法,实验结果表明此算法能较好地对一幅散斑干涉条纹图像进行细化.     

港口群系统优化模型及其算法

为解决港口群系统规模、结构和布局的全局动态协调优化问题,基于复杂系统理论中的多智能体模拟方法,构建了港口群系统的双层规划模型,设计了多智能体遗传算法对模型进行优化求解。建立全局优化智能体以实现港口群各智能体间的协同优化,引入港口规模效应系数,构建了动态腹地中各港口的货运量分担模型,应用于下层港口智能体转换规则中。计算结果表明:60次迭代后,模型趋于最优解,港口群总效益增加了48%,结构和规模趋于合理,表明模型和算法具有可行性和高效性。     

A Practical Adaptive TuCM Scheme for Rayleigh Flat Fading Channels

IntroductionAs stated in Ref.[1 ],if the channel state isknown atthe transmitter,then channel capacity isachieved by adapting the transmit power,data rateand coding scheme relative to this fade state.Based on those results,an uncoded adaptive modu-lation was proposed[2 ] .This adaptive modulation is1 7d B more power efficientthan non- adaptive mod-ulation in fading.Combining trellis coded modula-tion ( TCM) with adaptive modulation,an adaptivecoded modulation was studied[3 ] .The results sh…     

基于ICA的MIMO系统空时盲均衡算法

多输入多输出系统的MMSE均衡中,由于接收端采样大小的限制,对观测信号协方差矩阵的估计和信道的盲辨识误差会严重影响均衡性能,采用独立分量分析作为一种辅助手段改进传统的均衡器,并选择最佳均衡时延优化算法。仿真结果表明,该算法提高了传统算法的鲁棒性,在大大降低计算复杂度的同时改善了均衡性能。     

基于ICA的MIMO系统空时盲均衡算法

多输入多输出系统的MMSE均衡中,由于接收端采样大小的限制,对观测信号协方差矩阵的估计和信道的盲辨识误差会严重影响均衡性能,采用独立分量分析作为一种辅助手段改进传统的均衡器,并选择最佳均衡时延优化算法。仿真结果表明,该算法提高了传统算法的鲁棒性,在大大降低计算复杂度的同时改善了均衡性能。     

Interference and Spectral Efficiency Analysis in Two-hop Cellular Network with Fixed Relays in FDD Mode

IntroductionRelaying is well known for its potential of ex-tending the high data rate coverage of a single basestation and reducing infrastructure deploymentcosts. Moreover, it is efficient in solving the cov-erage problem behind the obstacles and eliminatingblack spots, which even can not be solved by intro-ducing smart antenna technology[1,2]. Some dumbrelays (analog repeaters) have been adopted[1]in2 G and 3 G systems. But in such scenarios, thesignals received are forwarded without any si…     

Electrostatic Suspension System Nonlinear Character Analysis and Its Internal Model Control

Nonlinearity is an important characteristic in electrostatic suspension system (ESS). This paper concludes the nonlinear parts in ESS, which generally result from the relationships between rotor displacement and capacitance, rotor displacement and electrostatic force, and control voltage and electrostatic force. In terms of the nonlinearities, a new control method with modified internal model control (IMC) was proposed to analyze the ESS, deduce the transfer function of the modified IMC controller in ESS, and simulate this new application in ESS. Comparing with proportional integral derivative (PID) control, IMC has only a parameter, and has better performance. As a result, IMC solves nonlinearity error well in ESS with only one uncertain parameter, and performs well when the rotor has large displacement.     

Development of 2D hybrid equilibrium elements in large increment method

As a force-based finite element method (FEM), large increment method (LIM) has been developed in recent years. It has been shown that LIM provided prominent advantage of parallel computation with high efficiency and low time consumption for member structural system. To fully utilize its advantage in parallel computation, it is the time to extend LIM to 2D and 3D continua analysis. In this paper, a 2D finite element library with the capability of modeling arbitrary configurations is developed. Some illustrative numerical examples are solved by using the proposed library; the obtained results are compared with those obtained from both traditional displacement-based FEM and analytical solutions, which has clearly shown the advantages of LIM.     

Real-Time Discrete Adaptive Control of Robot Arm Based on Digital Signal Processing

A discrete model reference adaptive controller of robot arm is obtained by integrating the reduced dynamic model of robot, model reference adaptive control (MRAC) and digital signal processing (DSP) computer system into an electromechanical system. With the DSP computer system, the control signal of each joint of the robot arm can be processed in real time and independently. The simulation and experiment results show that with the control strategy, the robot achieved a good trajectory following precision, a good decoupling performance and a high real-time adaptivity.