Optimization of MQAM Modulation Schemes in Mobile Communications(Ⅰ)——Analysis of MQAM BER Performance in AGWN Channel Based on Signal Space

Based on signal space concepts, a transmission error code performance for MPSK, square MQAM and star MQAM modulation schemes on the AGWN channel is analyzed. The corresponding BER formulas and computer aided numeric results are also given. Therefore it provides a theoretical basis for choosing MQAM modulation schemes in mobile communications.

Efficient practical codebook-precoding MIMO scheme based on signal space diversity

A novel practical codebook-precoding multiple-input multiple-output（MIMO） system based on signal space diversity（SSD） with the minimum mean squared error（MMSE）receiver is proposed.This scheme utilizes rotation modulation and space-time-frequency component interleaving.A novel precoding matrix selection criterion to maximize the average signal to interference plus noise ratio（SINR） is also put forward for the proposed scheme,which has a larger average mutual information（AMI）.Based on the AMI- maximization criterion,the optimal rotation angles for the proposed system are also investigated.The new scheme can make full use of space-time-frequency diversity and signal space diversity,and exhibit high spectral efficiency and high reliability in fading channels.Simulation results show that the proposed scheme greatly outperforms the conventional bit- interleaved coded modulation（BICM） MIMO-orthogonal frequency division multiplexing（OFDM） scheme without SSD,which is up to4.5 dB signal-to-noise ratio（SNR） gain.

Nonbinary ldpc-coded probabilistic shaping scheme for MIMO systems based on signal space diversity

This paper first describes a binary Low-Density Parity-Check(LDPC)-coded Probabilistic Shaping(PS)scheme for Multiple-Input Multiple-Output(MIMO)systems based on Signal Space Diversity(SSD).Second,a Nonbinary(NB)LDPC-coded PS scheme for MIMO systems based on SSD is proposed.The first scheme can be used to obtain a shaping gain,whereas the second can also realize a coding gain.The theoretical average mutual information of the optimized rotated quadrature amplitude modulation constellations is analyzed and the simulated error per-formance with 22 and 44 MIMO schemes is investigated.The theoretical average mutual information analysis and simulation results show that the proposed NB LDPC-coded PS scheme for MIMO systems based on SSD is reliable and robust,and is therefore suitable for future wireless communication systems.

LARGE SIGNAL THEORY OF OROTRON IN CONSIDERATION OF SPACE CHARGE FIELD

An approximate formula of space charge field of orotron in rectangular coordinate system,when one of the boundaries is infinite, is derived. Using this model the self-consistant large signal interactionof orotron with space charge is calculated, and the effect of this charge on the performance of the device isdiscussed.

SELECTION OF PROPER EMBEDDING DIMENSION IN PHASE SPACE RECONSTRUCTION OF SPEECH SIGNALS

In phase space reconstruction of time series, the selection of embedding dimension is important. Based on the idea of checking the behavior of near neighbors in the reconstruction dimension, a new method to determine proper minimum embedding dimension is constructed. This method has a sound theoretical basis and can lead to good result. It can indicate the noise level in the data to be reconstructed, and estimate the reconstruction quality. It is applied to speech signal reconstruction and the generic embedding dimension of speech signals is deduced.

Enhanced quadrature signaling-based cooperative transmission with full rate and full diversity

Quadrature signaling-based cooperative transmission is an efficient and simple scheme to obtain spatial diversity.However,this scheme causes date rate loss compared with direct transmission.In this work,our focus is on recovering from the data rate loss while simultaneously achieving spatial diversity.Particularly,an enhanced quadrature signaling-based cooperative scheme was designed,which can realize full-rate transmission by using the signal space diversity(SSD)technique.Then,accurate bit error rate(BER)expression for the full-rate scheme was derived over independent and non-identically distributed(INID)Rayleigh fading channels.Specifically,a closed-form BER expression is obtained,which is quite tight over the whole SNR range,and thus allows for rapid and efficient evaluation of system performance under various channel conditions.Moreover,an asymptotic approximation of the BER was derived to show that the full-rate scheme can achieve full diversity.Simulation results verify the tightness of the analysis and show that the full-rate scheme significantly outperforms the traditional quadrature signaling-based scheme by about 2 dB with the same complexity order.

An Adaptive Transmission Scheme for Deep Space Communication

Deep space communication is quite different from conventional ground communication due to its time-varying,complexity and large signal delay,which consequently affects communication quality and system efficiency.Adjusting the transmission parameters when the channel environment changes during the communication can guarantee the performance index of the system,and therefore improve communication efficiency. An adaptive transmission scheme of transceiver based on Consultative Committee for Space Data Systems(CCSDS)protocols is proposed in this paper. According to the variation of the deep space channel,the symbol rate of transmission data is adjusted dynamically by estimating the signal-to-noise ratio(SNR) of the receiver in real time and adjusting the channel environment. This scheme can improve the channel utilization and system throughput under the premise of limiting the system bit error rate. Furthermore,this scheme is successfully implemented in Xilinx Virtex-5 FPGA board.

A Virtual TDOA Localization Scheme of Chinese DTMB Signal in Radio Monitoring Networks

As the radio communications technology widely used,wireless location technology plays a more important role in maintaining the order of the air waves.However concretely effective symbol calibration method with regard to Chinese DTMB signal of different frame mode is quite under research due to the multiple structure of DTMB signal.In this paper,we propose a Time Difference of Arrival(TDOA)-based passive location scheme using least square principle.Utilizing the large number of anchor nodes in wireless monitoring network,a novel algorithm is formulated to solve the None-LineOf-Sight problem.The derived Cramer Rao Lower Bound of the localization method guides to the accuracy of the position outcome with regards to the calibration precision.In contrast with traditional multi-terminal location schemes,our location scheme can reduce calculation complexity and location costs abruptly.A twostep NLOS identification algorithm is proposed.Computer simulation is employed to verify the well performance of the calibration method of3-4 dB superiority than normal method and also the whole localization scheme for less than 50 meters through channel of SNR lower than dB.Simulation also shows that our algorithm can effectively identify NLOS path and improve positioning accuracy.

优化MRI T_(2)-3D-SPACE的序列成像在外周神经扫描中的应用

目的研究优化核磁共振成像(MRI)T_(2)-三维快速自旋回波序列(T_(2)-3D-SPACE)的序列成像在外周神经扫描中的应用效果。方法选择江门市新会区人民医院2019年7月至2020年12月收治的42例单侧臂丛神经病变患者,按照随机数表法均分A组、B组和C组,各14例,分别接受T_(2)-3D-SPACE常规平扫、增强扫描、优化T_(2)-3D-SPACE序列扫描。对比三种方式成像的图像质量评分、图像背景抑制评分、神经干对比噪声比(CNR)及信噪比(SNR),以及对臂丛神经锁骨上下段的显示情况。结果A组患者的图像质量评分为(3.45±0.42)分,明显低于B组的(3.78±0.31)分和C组的(3.81±0.29)分,差异有统计学意义(P<0.05);A组患者的图像背景抑制评分为(3.01±0.33)分,明显高于B组的(2.27±0.21)分和C组的(2.61±0.28)分,而C组的图像背景抑制评分又明显高于B组,差异均有统计学意义(P<0.05);A组患者的SNR值及CNR值分别为(14.88±1.22)、(18.13±1.68),明显低于B组的(16.75±1.67)、(19.44±1.39)和C组的(17.29±1.41)、(19.05±1.53),差异均有统计学意义(P<0.05);A组患者的锁骨上段和下段显示率分别为42.86%、35.71%,明显低于B组的92.86%、85.71%和C组的85.71%及78.57%,差异均有统计学意义(P<0.05)。结论优化MRI T_(2)-3D-SPACE的序列成像与常规增强扫描T_(2)-3D-SPACE均可清晰显示臂丛神经,但优化MRI T_(2)-3D-SPACE序列无需注射对比剂,更适用于对比剂禁忌证患者。

A Modal Identification Algorithm Combining Blind Source Separation and State Space Realization

A modal identification algorithm is developed, combining techniques from Second Order Blind Source Separation (SOBSS) and State Space Realization (SSR) theory. In this hybrid algorithm, a set of correlation matrices is generated using time-shifted, analytic data and assembled into several Hankel matrices. Dissimilar left and right matrices are found, which diagonalize the set of nonhermetian Hankel matrices. The complex-valued modal matrix is obtained from this decomposition. The modal responses, modal auto-correlation functions and discrete-time plant matrix (in state space modal form) are subsequently identified. System eigenvalues are computed from the plant matrix to obtain the natural frequencies and modal fractions of critical damping. Joint Approximate Diagonalization (JAD) of the Hankel matrices enables the under determined (more modes than sensors) problem to be effectively treated without restrictions on the number of sensors required. Because the analytic signal is used, the redundant complex conjugate pairs are eliminated, reducing the system order (number of modes) to be identified half. This enables smaller Hankel matrix sizes and reduced computational effort. The modal auto-correlation functions provide an expedient means of screening out spurious computational modes or modes corresponding to noise sources, eliminating the need for a consistency diagram. In addition, the reduction in the number of modes enables the modal responses to be identified when there are at least as many sensors as independent (not including conjugate pairs) modes. A further benefit of the algorithm is that identification of dissimilar left and right diagonalizers preclude the need for windowing of the analytic data. The effectiveness of the new modal identification method is demonstrated using vibration data from a 6 DOF simulation, 4-story building simulation and the Heritage court tower building.

Kravchenko atomic transforms in digital signal processing

The modified atomic transformations are constructed and proved. On their basis the new complex analytic wavelets are obtained. The proof of the Fourier transforms existence in L~ and L2 on the basis of the theory of atomic functions （AF） are presented. The numerical experiments of digital time series processing and physical analysis of the results confirm the efficiency of the proposed transforms.

PHASE RETRIEVAL OF TIME-LIMITED SIGNALS

The problem of reconstructing a signalφ（x） from its magnitude ｜φ（x）] isof considerable interest to engineers and physicists. This article concerns the problem of determining a time-limited signal f with period 2π when ｜f（eix）l is known for x∈[-π,π]. It is shown that the conditions ｜g（eix）｜ = ｜f（eix）｜ and ｜g（ci（x＋b）） -g（eix）｜ =f（ei（x＋b）） - f（eix）｜, b ≠ 27π, together imply that either g = wf or g = v f, where both w and v have period b. Furthermore, if b/2π is irrational then the functions w and v b is rational then w takes the form reduce to some constants c1 and c2, respectively; ifb/2π is rational then w takes the form w=elexB1（e1x）B2（elx）and v takes the form ei（x2πN/b＋a）B1（elx）B2（elx）,where B1 and B2 are Blaschke products.

基于改进无参尺度空间经验小波变换的变压器高频电流局放噪声抑制研究

变压器是电力系统中的关键设备,局部放电(PD)是致使变压器绝缘劣化的主要原因,也是绝缘劣化的重要表现形式。针对高频PD信号中复杂的噪声信息,提出一种基于互信息和峭度优化的改进无参经验小波变换的降噪方法。该方法以经验小波变换(EWT)分解为基础,构造高斯核函数平滑频谱生成尺度空间,利用k-means聚类对边界点进行筛选得到频带分界点,然后提取无参尺度空间EWT分解的模式分量的互信息值和峭度值进行合并优化,排除冗余的频谱划分点并对频谱重新分割,利用新的频谱边界进行划分得到有价值的分量,在有价值的分量中去除噪声分量并将剩余分量进行通用阈值降噪然后重构信号达到PD信号降噪效果。文中方法不需要人工参与且解决了模态混叠问题,仿真和实验室、现场测试表明,与现有小波变换降噪和基于经验模态分解降噪的方法进行对比,文中的方法能够更加有效抑制PD信号中的噪声信息。

基于神经网络的WiFi信号度量学习方法

WiFi室内定位中,信号空间度量主要为先验距离度量及其组合。然而实际情况中,最佳信号空间距离度量与先验的距离度量不存在显式联系。文中提出一种基于神经网络的信号空间距离度量方法,通过样本训练,得到对位置空间近邻关系的估计,从而进行定位。通过开源数据集实验,证明了本方法相比于传统的基于欧式距离、Jaccard距离、基于秩的距离以及CMD复合距离的度量方式,平均定位误差分别下降了0.6 m,1.8 m,1.3 m和0.4 m,能有效提高定位精度。

基于Duffing振子的铁路轨道移频信号测量系统设计

铁路轨道作为移频信号的传输载体,其对于信号对象传输轨迹疏密度的辨别能力,决定了轨道体系对移频信号的测量准确性;为实现对信号对象传输频率的准确辨别,设计基于Duffing振子的铁路轨道移频信号测量系统;将电源模块输出的电量信号,按需分配至STM32F103微处理器、移频信号辨别模块与DSP测量单元之中,完善各级应用部件之间的连接关系,实现铁路轨道移频信号测量系统的硬件方案设计;确定移频信号的Duffing振子描述条件,针对其定义形式,构造移频信号的相空间,完成对铁路轨道移频信号的提取;求解铁路轨道的Lyapunov指数,并构建移频信号的Duffing方程,确定混沌测量参数的取值范围,实现对铁路轨道移频信号的测量,联合各级应用部件,完成基于Duffing振子的铁路轨道移频信号测量系统设计;实验结果表明,上述系统测量所得信号传输轨迹疏密度与真实轨迹疏密度相似度较高,并且测量结果准确率最高值达到了84%左右,说明其能够实现对铁路轨道移频信号的准确测量。

交通规划导向的科技赋能交通小区划分方法

文章以手机信令、路网大数据为基础,提出了针对交通规划的科技赋能交通小区划分方法,以路网数据划分聚类单元,利用手机信令数据准确识别聚类单元内居民出行时空分布特征,基于改进耦合空间聚类算法进行聚类,借助现状路网对聚类结果进行修正得到交通小区划分结果。宁波市实例研究表明,科技赋能交通小区划分方法能兼顾居民出行时空特征和城市路网匹配,并能较好保证交通小区的整体连续性,该方法适用性强,可为交通规划的科学制定提供借鉴。

基于谐波状态空间理论的12脉动换流站阻抗建模

为分析谐波对电网换相型换流器高压直流输电系统(line commutated converter based high voltage direct current,LCC-HVDC)稳定性的影响,亟需建立一个考虑谐波耦合效应的LCC-HVDC精确模型。基于谐波状态空间(harmonic state space,HSS)理论,考虑频率耦合效应和控制系统建立了12脉动LCC的阻抗模型,所建交直流谐波阻抗模型能在更宽的频带与扫频结果吻合。最后通过PSCAD电磁暂态仿真结果与HSS阻抗模型计算结果对比,验证了所提出的LCC-HSS阻抗模型的正确性。LCC-HSS阻抗建模方法提高了对LCC换流站进行数学建模的精确性,且可以适应多种模式下LCC换流站阻抗建模,为LCC系统稳定性分析及参数优化提供了较为精确的模型。

Research on Superscalar Digital Signal Processor

Under the direction of design space theory,in this paper we discuss the design of a superscalar pipelining using the way of multiple issues,and the implement of a superscalar based RISC DSP architecture,SDSP.Furthermore,in this paper we discuss the validity of instruction prefetch,the branch prediction,the depth of instruction window and other issues that can affect the performance of superscalar DSP.

小间距LED屏幕在广电监管业务中的应用设计

大屏幕显示系统在广电监管业务中发挥重要作用。针对原有显示系统核心组件光引擎老化、无法全要素还原8K超高清节目信号等问题,结合新技术和显示技术发展趋势,通过分析比较小间距LED屏幕并结合实际业务需求,对原有集中显示系统中的显示单元和信号处理单元进行了升级改造设计。

考虑交直流谐波耦合的并网逆变器建模与分析

可再生能源的大规模开发利用使得逆变器在电网中的比例越来越高,逆变器与电网间谐波交互作用也愈加频繁和复杂。针对传统的建模方法无法体现逆变器与电网间谐波交互耦合的问题,文中基于谐波状态空间(HSS)理论对三相并网逆变器进行建模,该模型将交直流侧的多个频次谐波考虑在内,具有较高的精度。基于HSS模型推导出输入到输出的谐波传递函数矩阵,建立逆变器交直流谐波耦合导纳幅值图,探究交直流谐波耦合关系。然后,提出了一种适用于闭环控制系统的三相并网逆变器小信号HSS建模方法,通过计算特征值对系统稳定性进行评估以及对振荡频率进行预测。最后与MATLAB/Simulink仿真结果进行对比,验证了所建立HSS模型的准确性和系统稳定性分析的正确性。