一种改进的交错脉冲解速度模糊方法

研究了脉冲多普勒气象雷达中用于解速度模糊的交错脉冲方法，理论分析了时域脉冲对处理中速度估计公式的局限性，同时对该公式进行了修正。仿真结果表明，改进的交错脉冲方法具有更好的解速度模糊性能，而且易于实时处理。     

Semantic analysis in XTRA,an English — Chinese machine translation system

This paper concerns the resolution of lexical ambiguity in a machine translation environment. We describe the integration of principles of selection restrictions. Preference Semantics, and intelligent relaxation of constraints in handling lexical ambiguity. The approach differs from many previous MT systems in that it is more powerful than brute force systems, while more realistic than systems that assume a large degree of coded encyclopedia information for full understanding.     

利用置信规则库构建WSN节点故障检测模型

在无线传感器网络(wireless sensor network, WSN)节点故障检测领域的研究过程中,故障检测准确率会受节点数据的不确定性和专家知识模糊性的影响。针对这一问题,本文提出了一种基于置信规则库(belief rule base, BRB)的WSN节点故障检测方法。首先,根据WSN工作原理及节点工作特性描述WSN节点故障检测过程;然后,从空间和时间2个维度对节点数据提取特征,建立基于空间和时间相关性的WSN节点故障检测模型;最后,利用Intel Lab Data无线传感器数据集进行案例研究以验证模型的有效性。结果证明,本文方法能够统筹利用专家知识和节点数据实现WSN节点故障检测。     

ISAR imaging algorithm for targets with the complex motion based on the high-order ambiguity function-Lv's distribution

In ISAR imaging for targets with the complex motion, since the azimuth high order phase terms caused by the time-varying rotation vector will deteriorate the azimuth focusing quality, the traditional RD algorithm and LFM model are not appropriate. Thereby, in the case when the received signal can be modeled as cubic phase signals (CPSs), this paper proposes an ISAR imaging algorithm based on HAF-LVD (high-order ambiguity function-Lv's distribution). First, this algorithm defines a novel double lag parametric instantaneous autocorrelation function, and then applies the scaling operator to remove the coupling and utilizes FFT to achieve the energy accumulation. Finally, the non-searching estimation of the moving parameter and the ISAR images for targets are accomplished by the obtained HAF-LVD. Because of the introduction of the scaling factor, this algorithm can flexibly deal with more changeful and hostile ISAR environment without loss of the anti-noise performance and computational efficiency. Simulation results validate the effectiveness of the ISAR imaging approach.     

英语句法歧义成因及排歧方法之探讨

歧义是一种普遍的语言现象,英语中就存在很多歧义句.造成歧义的原因很多,有语音、词汇、句法等因素,其中句法歧义是重要组成部分.研究英语句法歧义现象的主要原因,提出相应的排歧方法,对英语教学翻译,和跨文化交际等活动都具有重要作用.     

基于宽带相关处理的连线干涉测量

载波时延整周模糊解算是目前连线干涉测量（connected elements interferometry,CEI）中的瓶颈问题。针对扩频信号、数传信号等常见的航天器信号类型,提出了基于宽带信号相关处理的连线干涉测量方案。该方案首先通过对宽带信号进行相关处理得到群时延信息;然后再进行载波提取得到载波差分相位信息;最后以群时延进行载波时延整周模糊解算,实现CEI测量。理论分析和仿真结果表明了所提方案的正确性,并对嫦娥二号宽带数据进行处理,得到了载波时延估计,精度较群时延提高了24dB。     

一种动态窗口PCA运动方向估计算法

首先针对个人航位推算系统中计步算法的阈值设定问题,提出了一种基于有限状态机的阈值自学习算法.通过该算法可以在较短的时间内(10s)获得自适应阈值,提高计步算法的准确性.然后在利用该阈值进行计步的同时,对连续步态进行分割,并以分割结果作为动态窗口进行主成分分析,可以获取目标运动的方向.此外,通过利用运动步态模型中加速度变化的规律可以有效解决180°模糊问题.实验分析结果表明,相比于固定窗口的 PCA 分析方法,基于动态窗口的 PCA 在数据处理量降低61.2%的情况下,其准确度提高了11.1%.     

基于DBF技术的星载SAR宽测绘带实现方法

在研究距离向使用数字波束形成(Digital Beanforming,DBF)实现星载SAR宽测绘带原理的基础上,分析了星载DBF-SAR距离模糊与传统星载SAR距离模糊的不同,并利用阵列天线零点指向技术实现宽零陷的原理,展宽模糊点所对应位置零陷宽度,从而在提高星载SAR宽测绘带基础上有效地减小距离模糊,提高成像质量.通过仿真和比较分析,表明使用具有宽零陷指向特性的DBF技术实现星载SAR宽测绘带模式的可行性.     

Factors impacting the perceived organizational support of IT employees

Organizations today face shortages of IT personnel. We investigated workplace factors in one state government in hope of identifying factors that influence perceived organizational support (POS) within an IT work environment. A combination of job characteristics (challenging job and perceived workload), job stressors (work exhaustion, role conflict, and role ambiguity), and the organization’s discretionary actions (pay-for-performance and mentoring opportunities) were measured and hierarchical regression was used to determine the relationships. Four control variables were also included (age, gender, organizational tenure, and professional versus administrator status). Role ambiguity, role conflict, work exhaustion, career mentoring, and pay-for-performance together explained 62% of the variance in the IT employees’ POS. Career mentoring and role ambiguity explained most of the variance.     

高脉冲重复频率雷达混合滤波解距离模糊方法

针对高脉冲重复雷达距离模糊问题,提出一种新的混合滤波解距离模糊方法.通过把脉冲间隔数和脉冲间隔变化量作为目标待估计状态,对离散的脉冲间隔数、间隔变化量和连续的目标状态(位置和速度)进行混合滤波,从而将解距离模糊问题转换为对脉冲间隔数的估计问题.初始时刻,由于距离量测模糊,利用多个高脉冲重复频率(HPRF)采用欧氏距离对混合状态进行初始化.在滤波过程中,为了避免门限选择,首先根据脉冲间隔变化量的有限个离散取值,将六维向量的混合滤波模型等效为有限个五维向量的混合滤波模型;然后对量测分别进行混合滤波;最后通过对各模型得到的新息的2范数进行比较获得混合状态估计,从而实现解距离模糊.混合滤波解距离模糊方法为实现高脉冲重复频率雷达实时解距离模糊提供了一种新的研究思路,仿真结果表明,本文提出的混合滤波方法在只有一个脉冲重复频率获得目标量测时较现有多假设方法收敛速度快,并且可以克服多假设方法在脉冲间隔数变化时发生的解模糊错误.