一种稳健的自适应波束形成方法

基于线性约束最小方差(linearlyconstrainedminimumvariance,LCMV)波束形成原理,根据贝叶斯估计理论,提出了一种基于加权的波束形成方法。该波束形成方法能够很好地克服LCMV波束形成对期望信号DOA误差特别敏感的弱点。仿真试验表明,该方法性能稳定,对期望信号DOA误差具有很好的稳健性。     

地理信息系统与作战仿真的集成

分析了地理信息系统和作战仿真的共性以及地理信息系统对作战仿真的作用，提出了地理信息系统与作战仿真三种集成方式即独立模式、嵌入模式和无缝集成模式，以及三种集成模式的基本框架，并分析了各种方式的优缺点。最后讨论了集成的关键技术并对二者的集成进行了展望。     

MAPGIS平台下获取地理信息系统数据探讨

为了满足实际工作中获取地理信息数据的需要,通过具体获取实验,对在MAPGIS平台下获取地理信息系统数据进行了研究,得到了利用国产地理信息系统软件MAPGIS获取基础地理信息数据的多种实用方法,该方法在实际工作中是可行的,可以根据具体情况进行选择;通过进一步对各种方法进行比较分析,得出各种方法优缺点和实际工作中方法选择的一般规律,为类似工作提供了借鉴.     

某办公建筑热舒适及能耗的正交法优化

以重庆某采用地板送风加辐射供冷空调系统办公房间为研究对象,考虑送风速度、送风温度、辐射顶板温度、辐射顶板安装高度等影响因素,以房间热舒适度和能量利用系数的综合评分为优化目标,运用正交法建立4因素3水平正交方案,通过数值计算和极差、方差分析得到各因素对综合评分影响次序,从而得到最优方案,并为此类型空调系统设计提供了参考.     

空间数据与GIS技术支撑的重庆市县域旅游竞争力研究

以第一次全国地理国情普查数据资料为基础,构建了一套融合空间数据与GIS分析技术的县域旅游竞争力评价指标体系,从旅游资源产品竞争力、市场服务竞争力、旅游保障竞争力3个方面对重庆市各区县旅游竞争力差异进行定量化分析,了解各区县旅游产业发展的优劣势.加权综合发现,各区县综合旅游竞争力划分为3类:一类包括渝中、九龙坡、渝北等12个区县;二类包括大足、万州、巴南等9个区县;三类包括开州、丰都、铜梁等17个区县.最后提出重庆市县域旅游竞争力提升策略.     

Reproductive ecology of the glass frog Espadarana prosoblepon (Anura: Centrolenidae) in an urban forest of the Central Andes of Colombia

Population and reproductive behaviour aspects of the glass frog Espadarana prosoblepon are well known for populations from Central America, but similar information is lacking for populations from South America. We recorded the reproductive ecology of a population of the glass frog E. prosoblepon in the city of Armenia, Central Andes of Colombia. With weekly surveys with mark-recapture between December 2013 and November 2015, we monitored activity patterns and evaluated if the probability of males mating is associated to their body size or to chorus tenure (i.e. the number of nights a same individual is calling for attracting a mate). In addition, upon observing an amplexus, we recorded the behaviour of the individuals until oviposition and noted characteristics of egg clutch. We recorded 47 males and 32 females, nine amplexus events, eight ovipositions, and 21 egg clutches (35.4 ± 4.79 eggs per clutch, N = 29). Activity of males and females and the number of egg clutches were positively correlated to rainfall. Mating success of males was not associated to their body size, but it was positively associated to longer chorus tenure; clutches from large females had a higher number of eggs than clutches from small females. Oviposition occurred on average 3.76 ± 1.74 hours after we first observed the amplexus, occurring 93.1% of the time in fronds of Selaginella geniculata at an average height of 1.58 ± 0.44 m. After the oviposition, the male left the site, while the female remained between 30 and 45 min, partially covering the eggs. The reproductive behaviour of E. prosoblepon did not vary widely between a population in Costa Rica and our population in time to oviposition, and mating success of males associated to chorus tenure; however, in our study population we recorded a larger clutch size and the preference for S. geniculata fronds as oviposition substrate.     

Predicting Stock Return Volatility: Can We Benefit from Regression Models for Return Intervals?

We study the performance of recently developed linear regression models for interval data when it comes to forecasting the uncertainty surrounding future stock returns. These interval data models use easy‐to‐compute daily return intervals during the modeling, estimation and forecasting stage. They have to stand up to comparable point‐data models of the well‐known capital asset pricing model type—which employ single daily returns based on successive closing prices and might allow for GARCH effects—in a comprehensive out‐of‐sample forecasting competition. The latter comprises roughly 1000 daily observations on all 30 stocks that constitute the DAX, Germany's main stock index, for a period covering both the calm market phase before and the more turbulent times during the recent financial crisis. The interval data models clearly outperform simple random walk benchmarks as well as the point‐data competitors in the great majority of cases. This result does not only hold when one‐day‐ahead forecasts of the conditional variance are considered, but is even more evident when the focus is on forecasting the width or the exact location of the next day's return interval. Regression models based on interval arithmetic thus prove to be a promising alternative to established point‐data volatility forecasting tools. Copyright ©2015 John Wiley & Sons, Ltd.     

基于MVDR波束形成的FDA平台外干扰抑制

针对频控阵(frequency diverse array, FDA)在对与目标位置相近的平台外干扰进行抑制时, 传统FDA与非线性频偏结合不能实现距离-角度去耦合、对数递增FDA主瓣展宽较大和汉明窗加权FDA距离维旁瓣过高的问题, 在充分研究汉明窗加权的线性FDA(Hamming linear FDA, HL-FDA)方案的基础上, 对4种频偏方案的性能进行了分析, 提出采用FDA多输入多输出结构代替传统的一维均匀线性FDA结构, 通过结合最小方差无失真响应(minimum variance distortion free respinse, MVDR)准则, 将HL-FDA应用到MVDR自适应波束形成层面, 对平台外干扰进行抑制。仿真验证了HL-FDA在结合MVDR自适应波束形成算法后能有效地对抗距离-角度二维平台外干扰。     

基于REST的地理信息系统的开发与研究

通过REST的介绍和分析,提出了利用REST开发地理信息系统的问题。在开发时要充分利用API带来的便利;在性能方面,要利用缓存来提升用户体验。     

基于模糊综合评价的基本功能岸段划分方法研究

基本功能岸段划分涉及的因素很多,诸多因素错综复杂.为避免功能岸段划分的主观性,以辽宁省基本功能岸段划分为例,从海岸自然环境特征、海岸开发利用现状、海岸资源社会经济需求和相关的海洋功能区划/规划等方面构建了基本功能岸段综合评价指标体系,建立了以模糊综合评价方法为主体的海岸基本功能综合评价方法,并采用GIS技术实现了评价过...