一种大规模多输入多输出系统信道反馈算法

针对在大规模多输入多输出(multiple-input multiple-output,MIMO)系统中,信道状态信息(channel state information,CSI)反馈量过大以及反馈的CSI过时的问题,提出一种基于自回归(autoregressive,AR)模型和主成分分析(principal component analysis,PCA)方法的反馈算法。接收端进行信道估计获得CSI后,先利用AR模型预测出反馈所需时间之后的CSI;在此基础上计算压缩矩阵,然后利用PCA方法对预测的CSI进行压缩,再反馈给基站;最后基站端对接收到的CSI进行重构。从理论分析和仿真结果可以看出,该算法可以在降低反馈量的同时提高系统容量和信道恢复的准确性。     

大规模MIMO系统信道状态信息反馈开销降低方法

针对大规模多输入多输出(massive-multiple input multiple output,massive MIMO)系统,结合离散余弦变换(discrete cosine yransform,DCT)和快速傅里叶变换(fast fourier transform,FFT)基,研究了基于压缩感知的信道状态信息(channel state information,CSI)反馈开销降低方法。首先在用户端,该方法基于压缩感知理论对三维(three dimension,3D)CSI采用不同稀疏基组合进行表示,进而形成两种不同的观测矩阵对其进行观测,其中方法 1基于3D CSI直接形成观测矩阵,而方法 2则基于垂直维CSI和水平维CSI分别形成两个中间观测矩阵,进而通过Kronecker积形成最终观测矩阵。最后,将观测值经矢量化后反馈给基站端;基站端则通过正交追踪匹配算法(orthogonal matching pursuit,OMP)重构CSI。仿真结果表明,基于两种稀疏基的组合可以使得CSI反馈开销得到大幅度降低,同时,基于方法 1生成的观测矩阵所重构CSI性能明显优于基于方法2的。     

基于压缩感知的OFDM稀疏信道估计导频优化算法

研究了在正交频分复用（OFDM）系统中基于压缩感知信道估计的导频图案设计问题.为了优化信道估计的性能,提出了优化算法,在基于压缩感知的测量矩阵互相关最小化准则的基础上,通过增大随机生成数进行分组,分别计算每组的互相关值,再进行比较求互相关的最大值从而获得导频图案.仿真结果表明,与使用基于测量矩阵互相关最小化准则的导频图案相比,该优化算法得到的信道估计的最小均方误差要低30%.      

一种多点协作压缩感矢卩信道估计伪随机导频图案生成算法

为了减少集中式/协作式/云计算无线接入网(centralized,cooperative,cloud radio access network,C-RAN)平台多点协作通信的信道估计中插入导频的数量,引入了压缩感知技术,进而提出一种伪随机导频图案生成算法,生成一种导频图案设计方案.由该算法生成的导频图案能满足压缩感知的观测矩阵条件,可以使得收发两端能同步计算出导频位置信息,克服了传统压缩感知信道估计因采用随机导频图案使得接收端很难确定导频的插入位置信息,进而很难分离导频与数据的问题.此外,该算法还能根据实际硬件条件,在性能与计算时间上进行权衡.通过在数字信号处理(digital signal process,DSP)芯片上进行硬件验证和Matlab软件上进行仿真验证,仿真结果表明,在C-RAN平台的多点协作通信的信道估计中,提出的方案具有较好的性能.     

OFDM系统中最优导频序列的设计方案

在正交频分复用(OFDM)系统中,接收信号易受频率选择性衰落信道的影响产生失真,准确的信道估计变得必不可少。考虑到无线信道的内在稀疏性、压缩感知技术挖掘信道稀疏特征的有效性,研究了基于压缩感知技术的OFDM稀疏信道估计。针对导频位置影响信道估计性能的问题,提出了一种反馈型的导频优化算法,该算法基于离散傅里叶变换(DFT)子矩阵中各个列之间互相干性最小的原则,同时结合信道状态信息的反馈机制,实现了对导频序列的联合优化。仿真结果表明,与当前的随机优化算法、传统最小二乘信道估计相比,该优化方法有效降低干扰和噪声对信道估计的影响,从而改善了信道估计的性能。     

基于压缩感知的OFDM稀疏信道估计导频图案设计

针对OFDM系统基于压缩感知的频率选择性衰落信道估计,提出了一种基于压缩感知测量矩阵互相关最小的导频设计准则.仿真结果表明,与使用其他导频图案相比,使用此准则设计出的导频图案使信道估计均方误差和系统的误比特率更小.     

一种大规模MIMO系统信道反馈算法

针对在大规模多输入多输出（Multiple-Input Multiple-Output,MIMO）系统中,信道状态信息（Channel State Information,CSI）反馈量过大以及反馈的CSI过时的问题,提出一种基于自回归（Autoregressive,AR）模型和主成分分析（Principal Component Analysis,PCA）方法的反馈算法。接收端进行信道估计获得CSI后,先利用AR模型预测出反馈所需时间之后的CSI,在此基础上计算压缩矩阵,然后利用PCA方法对预测的CSI进行压缩,再反馈给基站,最后基站端对接收到的CSI进行重构。从理论分析和仿真结果可以看出,该算法可以在降低反馈量的同时提高系统容量和信道恢复的准确性。     

基于二进制粒子群算法的OFDM稀疏信道导频优化

在正交频分复用(orthogonal frequency division multiplexing,OFDM)稀疏信道中,合理的导频设计可以提高信道估计的性能,以测量矩阵的互相关最小化作为目标,提出一种基于二进制粒子群算法的导频优化方案,引入混沌初始化机制来保证初始粒子均匀地分散在解空间里,通过粒子变异机制来保证种群的快速收敛.根据实验和仿真结果可以看出,与随机搜索导频优化算法、逐位置导频优化算法以及最小二乘法相比,该算法能够有效节省导频的开销,提高频谱利用率,具有更好的信道估计性能.     

基于改进的离散随机近似方案的导频研究

为解决传统信道估计方法在稀疏信道估计的性能不够理想,许多算法没有考虑到导频放置等问题,将压缩感知理论(Compressed Sensing,CS)应用到稀疏信道估计中.基于CS理论测量矩阵互相关最小化的导频图案设计的分析,提出信道估计均方误差最小准则来选择CS算法的方法,建立OFDM系统模型和导频设计方案.仿真结果表明:改进的离散随机近似方案的导频设计,比遍历性搜索收敛更快更有效,对基于OMP算法的信道估计性能有较大幅度提升.     

水声OFDM信道压缩感知估计研究

针对传统最小二乘(least square,LS)算法估计时变水声OFDM信道误差较大问题,提出一种基于压缩感知的准确估计方法.首先导出了水声OFDM系统接收序列、发送序列及信道传输矩阵之间的关系;在此基础上利用水声信道稀疏特征,探讨了采用正交匹配追踪(orthogonal matching pursuit,OMP)算法估计水声OFDM信道的方法;分析了导频插入方式、导频数及径数等对水声OFDM信道估计均方误差(mean square error,MSE)的影响.研究表明:当导频随机插入时,OMP算法用较少导频即可准确估计水声OFDM信道的传输矩阵.当信噪比大于10dB时,OMP算法的MSE小于-24dB,比传统的LS算法小18dB.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.