静叶栅上游端壁双射流气膜冷却特性实验

为了进一步挖掘上游端壁气膜冷却的潜力,在低速叶栅风洞的静叶片上游端壁上,实验研究了双射流构型的气膜冷却特性,并与双排圆孔进行了对比。探究了吹风比(M=0.5,1.0,1.5,2.0)、密度比(Rd=1.0,1.5)的效应。端壁表面的气膜冷却效率通过压力敏感漆(PSP)测得。结果表明,吹风比的增大虽然会加剧吹离现象,但同时也会促进叶栅通道中、后段的气膜覆盖。密度比的增大会抑制气膜吹离,促进气膜横向覆盖和提高平均冷却效率。双射流孔相比于圆形孔,冷却气流在孔下游形成了反肾形涡,较好抑制了气膜吹离;但从双射流孔喷出的冷却气流对于叶栅通道内的涡系也更加敏感。在高吹风比下,双射流孔的冷却效率相对于圆形孔有一定的优势,特别是双射流I构型。     

激波/湍流边界层干扰物面剪切应力统计特性

为了揭示激波/湍流边界层干扰区内物面剪切应力统计特性的演化规律,采用直接数值模拟方法对来流马赫数2.9、12°激波角的入射激波与平板湍流边界层相互作用问题进行了研究。通过与风洞试验数据的比较分析,验证了计算结果的可靠性。系统地探究了干扰区内物面剪切应力的典型特征,如预乘谱、概率密度分布和相干结构等。研究结果表明,分离激波的低频振荡运动对流向及展向分量的预乘谱均没有实质影响,其脉动仍以高频特征为主,低频能量变化较小。干扰区内流向剪切应力概率密度函数分布变化剧烈,分离泡内对数正态分布规律不再适用,而展向剪切应力在干扰区内与正态分布较为接近。相较于上游湍流边界层,分离泡内物面剪切应力矢量夹角与幅值的联合概率密度变化显著,峰值概率降低,峰值范围增大。此外,流向剪切应力脉动场的本征正交分解分析指出,主能量模态与分离激波的低频振荡以及下游再附边界层内的Görtler-like流向涡结构密切相关。     

Cardinality compensation method based on information-weighted consensus filter using data clustering for multi-target tracking

In this paper, a cardinality compensation method based on Information-weighted Consensus Filter(ICF) using data clustering is proposed in order to accurately estimate the cardinality of the Cardinalized Probability Hypothesis Density(CPHD) filter. Although the joint propagation of the intensity and the cardinality distribution in the CPHD filter process allows for more reliable estimation of the cardinality(target number) than the PHD filter, tracking loss may occur when noise and clutter are high in the measurements in a practical situation. For that reason, the cardinality compensation process is included in the CPHD filter, which is based on information fusion step using estimated cardinality obtained from the CPHD filter and measured cardinality obtained through data clustering. Here, the ICF is used for information fusion. To verify the performance of the proposed method, simulations were carried out and it was confirmed that the tracking performance of the multi-target was improved because the cardinality was estimated more accurately as compared to the existing techniques.     

基于改进层次分析法对航天发射安全风险的评估

针对航天发射安全风险评估涉及因素较多和等级划分的模糊性,提出了航天发射安全风险递阶层次的评估指标体系,并利用正态分布密度函数对层次分析法确定的权重指标进行修正,使风险评估结果更加科学合理。可以为航天发射确定安全风险管控重点、优化防控措施提供重要技术支撑。     

Variations in the thermosphere and ionosphere response to the 17–20 April 2002 geomagnetic storms

The responses of the thermospheric density and ionospheric foF2 to the intense magnetic storms event on 17–20 April were analyzed by using data from CHAMP/STAR and ionosonde stations respectively, and NRLMSISE-00 and IRI-2007 models were used to simulate. The models can capture the tendency of changes, especially under quiet or moderate geomagnetic conditions, but are less accurate under geomagnetic storms. The thermospheric density is sensitive to the EUV emission and geomagnetic activity, and double-peak structure appeared in the dayside. On 19 April dayside, TADs traveled toward the equator with phase speeds of the order of 300–750 m/s, interfered near the equator to produce a total density perturbation of 25%, and then passed through each other and into the opposite hemisphere. For ionospheric foF2, there are non-symmetric hemispheres’ features during the intense geomagnetic activities. In details, middle latitudes in the north and high latitudes in both hemispheres are negative ionospheric storms, and the maximum amplitudes of δfoF2$\delta \mathit{foF}2$ is about 60%, but the amplitudes decrease from the higher to lower latitudes in the Southern Hemisphere. Meanwhile, the equatorial station shows positive phase, and the maximum value is about 100%. Finally, the mechanisms for these features will be discussed in this study.     

基于Gabor滤波器的航空图像居民区域提取

中低分辨率航空图像中居民区域的自动提取对地理信息系统更新和无人机导航具有重要作用.详细分析了Gabor滤波器参数对纹理提取的影响,提出了一种基于Gabor滤波器的居民区快速提取算法.算法包含4步:运用Gabor滤波器分析图像纹理,采用核密度估计生成居民区域置信图像,进而计算自适应阈值分割置信图得到候选区域,最后根据区域几何形状去除干扰得到居民区.算法平均运算时间为0.42s,实验结果表明了算法的高效性和准确性.     

Static Frame Model Validation with Small Samples Solution Using Improved Kernel Density Estimation and Confidence Level Method

An improved method using kernel density estimation (KDE) and confidence level is presented for model validation with small samples. Decision making is a challenging problem because of input uncertainty and only small samples can be used due to the high costs of experimental measurements. However, model validation provides more confidence for decision makers when improving prediction accuracy at the same time. The confidence level method is introduced and the optimum sample variance is determined using a new method in kernel density estimation to increase the credibility of model validation. As a numerical example, the static frame model validation challenge problem presented by Sandia National Laboratories has been chosen. The optimum bandwidth is selected in kernel density estimation in order to build the probability model based on the calibration data. The model assessment is achieved using validation and accreditation experimental data respectively based on the probability model. Finally, the target structure prediction is performed using validated model, which are consistent with the results obtained by other researchers. The results demonstrate that the method using the improved confidence level and kernel density estimation is an effective approach to solve the model validation problem with small samples.     

Performance of GPS-based accelerometry: A simulation experiment

Recent studies have shown that with the availability of high-quality CHAMP and GRACE gravity field models, it is feasible to determine accurate non-gravitational accelerations for low Earth orbiting satellites indirectly from precise GPS satellite-to-satellite observations. Possible applications of this so-called GPS-based accelerometry approach consist of accelerometer calibration and atmospheric density and wind computations. With the growing number of high-quality space-borne GPS receivers, this method could be applied to a large range of satellites. In this paper an extensive simulation study has been carried out, based on real accelerometer data from the GRACE mission, in order to determine the optimal processing strategy and the resulting accuracy of the estimated non-gravitational accelerations. It is shown that the optimal processing strategy consists of a piecewise linear parameterization of the estimated empirical accelerations, together with short 6-h orbit arcs. The GPS-based accelerometry approach makes use of triple-differenced GPS observations and the impact of considering the correlated observation noise was found to be marginal in the presence of other error sources such as GPS ephemeris errors. Using a priori non-gravitational force models improves the recovery of low temporal resolution accelerations, except during huge geomagnetic storms. With this strategy, non-gravitational accelerations can be recovered during high solar activity with an accuracy of better than 10% of the total signal in along-track direction and around 25–40% in cross-track direction, at time resolutions of around 8–20 min. During solar minimum conditions, the relative recovery error will increase to approximately 50% in along-track direction and around 60–70% in cross-track direction, due to the reduced atmospheric drag signal. Unfortunately, GPS-based accelerometry is hardly sensitive in the radial direction.     

强地震活动事件期间热层大气密度异常变化的探测结果

地震活动一直是人类非常关注的自然灾害事件, 其对热层大气密度的影响还不是非常清楚. 2008年5月12日中国四川汶川发生震级8.0级强震事件, 随后, 在6月14日日本本州东部, 7月5日鄂霍次克海和7月19日日本本州东海岸发生震级7.0~7.6级强震事件, 利用期间中国星载大气密度探测器在630 km高度上就位探测的热层大气密度对探测结果进行综合分析, 结果表明, 强地震震源中心区域上空附近热层大气密度出现异常降变. 在时间上, 强地震发生前1~3天内就已开始出现大气密度降变, 强地震发生日附近降变达到谷值, 降变比达0.40~0.65. 这种降变的纬度区域范围震前位于强震中心所处纬度的±3o~±9o, 强震发生当日扩大到±8o~±20o.      

高效多码率LDPC码译码器结构设计

设计了一种高效的多码率LDPC(Low Density Parity Check)码译码器结构,提出了一种校验节点更新单元(CNU,Check Node Updating Units)与变量节点更新单元(VNU,Variable Node Updating Units)的设计方法.按照"化整为零"的思想,将CNU与VNU分成若干小的运算单元,在不同码率下对这些运算单元进行动态组合构成新的CNU与VNU,从而减少不同码率下硬件资源的冗余,提高了译码速率.最后,按照本文提出的译码器结构,使用Altera公司Stratix系列的FPGA EP1S80实现了中国数字电视地面广播传输标准中使用的0.4,0.6和0.8三种码率LDPC码的译码器.实现结果表明:该结构的多码率译码器仅比单码率译码器多耗用12％的硬件逻辑资源,存储器相当;而相对于传统的多码率译码器结构,本结构在不增加硬件资源的情况下,将0.4码率码字的译码速率提高了100％,将0.6码率码字的译码速率提高了50％.