A high performance frequency offset estimator for OFDM

INTRODUCTION Orthogonal frequency division multiplexing (OFDM) has become a promising technology for future wireless communication systems (Kim et al., 2003; 3GPP TSG-RAN-1.TR, 2004) due to its ability to transform a wideband frequency selective channel to a set of parallel flat-fading narrow-band channels, which substantially simplifies the channel equaliza- tion problem. However, a critical weakness of OFDM is its sensitivity to carrier frequency offset (CFO) since it can only t…     

MIMO OFDM系统中基于多项式求根的频偏估计算法

基于频域训练序列,深入地分析了MIMO—OFDM系统中基于多项式建模的频偏估计问题．设计训练序列使其结构满足适当的条件,根据相应矩阵的厄尔密特属性和实对称属性,分析出代价函数多项式方程根的成对性,进而提出整数频偏与小数频偏可同时通过直接多项式求根方法估计出来．分析了导数多项式求根方法与直接多项式求根方法,研究出代价函数多项式与其导数多项式具有公共的多项式因子,且代价函数多项式可以表示成该公共多项式因子的二次型,并进一步揭示出二者在估计上的等效性以及后者在实现上的优越性．计算机仿真结果验证了该理论分析结果．     

Efficient timing and frequency offset estimation scheme for OFDM systems

A new training symbol weighted by pseudo-noise(PN) sequence is designed and an efficient timing and fre quency offset estimation scheme for orthogonal frequency division multiplcxing(OFDM)systems is proposed.The timing synchronization is accomplished by using the piecewise symmetric conjugate of the primitive training symbol and the good autocorrelation of PN weighted factor.The frequency synchronization is finished by utilizing the training symbol whose PN weighted factor is removed after the timing synchronization.Compared with conventional schemes,the proposed scheme can achieve a smaller mean square error and provide a wider frequency acquisition range.     

Particle filter for joint frequency offset and channel estimation in MIMO-OFDM systems

A particle filter is proposed to perform joint estimation of the carrier frequency offset (CFO) and the channel in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) wireless communication systems. It marginalizes out the channel parameters from the sampling space in sequential importance sampling (SIS), and propagates them with the Kalman filter. Then the importance weights of the CFO particles are evaluated according to the imaginary part of the error between measurement and estimation. The varieties of particles are maintained by sequential importance resampling (SIR). Simulation results demonstrate this algorithm can estimate the CFO and the channel parameters with high accuracy. At the same time, some robustness is kept when the channel model has small variations.     

一种新的OFDM系统信道盲估计的子空间算法

为提高OFDM系统的传输效率,提出了一种利用接收信号的二阶统计特性实现信道盲估计的子空间算法.首先将OFDM信号分成3部分,利用循环前缀(CP)引入的信息冗余,对OFDM系统的传输方程作矩阵变换,得到一个信道矩阵为Toeplitz矩阵的新方程.基于此方程推导出信道估计的子空间算法.Toeplitz矩阵结构使算法的推导和实际的计算大为简化.该算法不需要改变OFDM系统结构,不受信道零点位置的限制,在信道过估计的情况下也适用.实验结果验证了算法的有效性.     

利用一种新LDPC码的编码OFDM系统性能分析

提出了一种新的构造LDPC码的方法, 并把用该方法产生的LDPC码应用到编码正交频分复用(OFDM)系统中进行了研究. 该方法拓展了单位阵移位构造的LDPC码, 它利用简单的不等式可确保在置换单位阵构造中不会产生Tanner图中的短圈, 使得产生的LDPC码的Tanner图最小圈长为8. 由于该类码是准循环码以及其校验矩阵所固有的分层结构, 编码器和解码器都易于实现, 它们分别是线性可编和线性可译的. 所提出的LDPC码码率范围较大, 可以灵活选取. 利用迭代解码进行计算机仿真, 发现新的LDPC码比其他的规则LDPC码在编码OFDM系统中具有更好的性能.     

GPS软件接收机的构建及其精频捕获算法的实现

介绍了一种GPS软件接收机的设计方法.该设计采用软件无线电设计理念,主要包括前端模块、捕获模块、跟踪模块、同步模块、导航解算模块以及其他辅助模块.捕获模块采用基于圆周相关的捕获算法,通过FFT(快速傅立叶变换)分别作用于输入信号和本地码信号将运算变换到频域内处理.该算法可得到C/A码起始相位和分辨率为1 kHz的载波频率信号,但此载波频率精细度差,不能直接用于跟踪环路.为提高载波频率分辨率,采用基于相位关系计算的精频估计算法.实验表明应用精频捕获算法得到的载波精频估计误差在几赫兹以内,可直接用于后续跟踪环路.     

An algorithm for frequency estimation of signals composed of multiple single-tones

INTRODUCTION Frequency estimation is the basis of other pa- rameter measurements of signals in intelligent in- struments and meters. Frequency estimation of sinu- soidal or nonsinusoidal signals is easier to realize under non-noisy conditions than under noisy condi- tions. Under noisy conditions, the frequency estima- tion becomes more difficult work due to distortion in sample data. Some pioneering algorithms, such as zero crossing technique (Moore et al., 1996; Begovic et al., 1993), l…     

一种使用分档方式统计字符串频率的新算法

针对搜索引擎查询结果集中的相同记录出现次数的统计问题,提出了分档统计的算法。该算法在时间上比逐个字符统计频率快,能够达到O（n）的时间代价,算法还针对长字符串（字串的长度与字串的个数相差不多）进行了优化,降低了计算规模。     

视频与视频字符叠加实验仪的研制

介绍了视频与视频字符叠加实验仪的研制背景、组成、工作原理、主要电路的设计方法及应用情况。实验仪电路主要由三部分组成：信号分离电路、控制计数电路和切换开关电路。实验内容设计为开放式、研究性,因而通过本实验仪器,学生不仅可以巩固视频技术知识,了解该领域的最新研究和应用进展情况,而且在大规模可编程逻辑器件的应用和硬件描述语言方面的学习也将得到提高。教学实践表明学生通过该实验仪不但可以开阔视野,更有利于培养学生的创新意识和提高动手能力。     

采用Gd2O2S回热填料的带预冷4K斯特林型高频脉管制冷机性能研究

研究目的：研究新型磁性回热填料Gd2O2S对液氦温区高频脉管制冷机多级回热器损失特性的影响。 创新要点：确定了不同回热填料以及运行参数（频率、平均压力）下液氦温区多级脉管制冷机的制冷温度和各级预冷量,进一步明确了4K高频回热损失机理。 研究方法：采用理论研究与实验验证相结合的方法,基于一台两级G-M型低频脉管制冷机预冷的单极斯特林型高频脉管制冷机,研究多级回热器在高频以及4K温区下的损失特性。选取新型回热填料Gd2O2S替代部分回热填料HoCu2,比较回热器采用两种填料时在不吲运行频率及平均压力下的冷端制冷温度（图10）、各级预冷量和预冷温度（图1112）。 重要结论：采用孔隙率较小的新型磁性回热填料Gd2O2S可显著改善第一级回热器内压力波与质量流的相位关系,从而减小该级回热损失。减小平均压力可以降低制冷机无负荷制冷温度并减小第二级预冷量,但制冷工质氦的体积比热容会急剧增大,从而使低温级回热器的换热对频率非常敏感。此外,频率对高温级回热器的回热特性影响不明显。该方法可以为三级斯特林型4K多级脉管制冷机提供设计依据。     

用于下一代移动通信系统的6GHz频段时分双工射频收发信机的设计(英文)

介绍了一种应用于下一代移动通信系统的高性能宽带射频收发信机的实现.本射频收发信机工作在6～6.3GHz频段,信道带宽达到100MHz,工作在时分双工模式并支持IMT-advanced系统采用的多输入多输出(MIMO)技术.为了获得最佳的性能,采用了经典的超外差结构.详细介绍了系统关键部件如低噪声放大器、功率放大器以及本地振荡器的设计问题.测试结果表明,射频收发信机的最大线性输出功率大于23dBm,低噪声放大器的增益和噪声系数分别为大约24dB和小于1dB.此外,误差矢量幅度(EVM)的测试结果表明实现的射频收发信机的性能远超过LTE-advanced系统的要求.采用最大8×8的MIMO配置,本射频收发信机在现场试验中支持超过1Gbit/s的数据传输率.     

Redesign of a conformal boundary recovery algorithm for 3D Delaunay triangulation

INTRODUCTION The Delaunay criterion provides a good way to triangulate a given point set. However, the prede- fined point connectivity is not certainly preserved during the triangulation, and some boundary con- straints may be lost in the resulting triangulation. Therefore, the recovery of missing boundaries be- comes an important topic. 2D boundary recovery problem turns out to be much easier to resolve in theory and practice than its 3D counterpart. It has been shown that there are cer…     

曲面柔性制孔机器人末端执行器及其法向姿态调整的一种新算法(英文)

设计了一种曲面柔性制孔机器人末端执行器,并针对该末端执行器提出了一种法向姿态调整的新算法.空间不共面四点可以确定一个与之相切的球面,求出该球面的半径及球心位置,以该球面近似代表制孔点区域的曲面,联结制孔点与该球面球心的矢量即可近似代表制孔点曲面的法矢量.根据这一原理,该算法首先用4个位移传感器测量出曲面上制孔区域内4个点的坐标,并由此计算出制孔位置的法向矢量,然后计算出此法向矢量与末端执行器上电主轴的轴线矢量的误差.根据该误差,进一步计算出末端执行器上2个旋转轴的旋转角度及制孔机器人另外3个直线移动方向的移动距离,从而实现调整主轴在制孔点与曲面垂直的功能.针对2种类型曲面的仿真结果表明,根据该算法可以实现较高的调整精度和效率.     

用于再生伪码测距时钟恢复的新型码片跟踪环性能分析

为了提高低信噪比条件下再生伪码测距系统中的复合伪码时钟恢复性能,采用了一种新型的码片跟踪环.此码片跟踪环是一种改进型的数据转换跟踪环,两者之间的区别在于,码片跟踪环的Q路输出直接乘上了时钟分量,而数据转换跟踪环乘上了I路的转换检测器输出.在准方波伪码测距信号的情况下,详细分析了码片跟踪环的跟踪(均方定时抖动)性能.分析对比了不同码片信噪比条件下的码片跟踪环和数据转换跟踪环跟踪性能.分析表明,码片跟踪环和数据转换跟踪环在大信噪比条件下性能一致;而在小信噪比条件下,码片跟踪环性能明显好于数据转换跟踪环.     

Performance of LIDAR- and radar-based turbulence intensity measurement in comparison with anemometer-based turbulence intensity estimation based on aircraft data for a typical case of terrain-induced turbulence in association with a typhoon

The Hong Kong Observatory (HKO) provides low-level turbulence alerting service for the Hong Kong International Airport (HKIA) through the windshear and turbulence warning system (WTWS). In the WTWS, turbulence intensities along the flight paths of the airport are estimated based upon correlation equations established between the surface anemometer data and the turbulence data from research aircraft before the opening of the airport. The research aircraft data are not available on day-to-day basis. The remote sensing meteorological instruments, such as the Doppler light detection and ranging (LIDAR) and radar, may be used to provide direct measurements of turbulence intensities over the runway corridors. The performances of LIDAR- and radar-based turbulence intensity data are studied in this paper based on actual turbulence intensity measurements made on 423 commercial jets for a typical case of terrain-induced turbulence in association with a typhoon. It turns out that, with the tuning of the relative operating characteristic (ROC) curve between hit rate and false alarm rate, the LIDAR-based turbulence intensity measurement performs better than the anemometer-based estimation of WTWS for turbulence intensity at moderate level or above. On the other hand, the radar-based measurement does not perform as well when compared with WTWS. By combining LIDAR- and radar-based measurements, the performance is slightly better than WTWS, mainly as a result of contribution from LIDAR-based measurement. As a result, the LIDAR-based turbulence intensity measurement could be used to replace anemometer-based estimate for non-rainy weather conditions. Further enhancements of radar-based turbulence intensity measurement in rain would be necessary.