一种用于解决粒子滤波粒子退化现象的重要性重采样算法的研究

粒子滤波通过蒙特卡罗模拟来实现递推贝叶斯估计,在非线性非高斯系统中体现出良好的特性;但粒子滤波存在粒子退化现象的缺陷,针对这一问题,提出一种新的重采样算法,即分区重采样算法,其主要思想是根据多项式重采样与分层重采样算法的特点,把随机数区间划分成若干个区,每个区内的随机数任意排列,而区与区之间按升序排列。与目前常用的其他重采样算法相比,该方法提高了粒子滤波的平均性能,仿真实验验证了该算法的有效性和实用性。     

Effect of scavenge port angles on flow distribution and performance of swirl-loop scavenging in 2-stroke aircraft diesel engine

Swirl-Loop Scavenging (SLS) improves the performance of 2-stroke aircraft diesel engine because the involved swirl may not only benefit the scavenging process, but also facilitate the fuel atomization and combustion. The arrangement of scavenge port angles greatly influences in-cylinder flow distribution and swirl intensity, as well as the performance of the SLS engine. However, the mechanism of the effect and visualization experiment are rarely mentioned in the literature. To further investigate the SLS, Particle Image Velocimetry (PIV) experiment and Computational Fluid Dynamics (CFD) simulation are adopted to obtain its swirl distribution characteristics, and the effect of port angles on scavenging performance is discussed based on engine fired cycle simulation. The results illustrate that Reynolds Stress Turbulence model is accurate enough for in-cylinder flow simulation. Tangential and axial velocity distribution of the flow, as well as the scavenging performance, are mainly determined by geometric scavenge port angles α_geom and β_geom. For reinforcement of scavenging on cross-sections and meridian planes, α_geom value of 27° and β_geom value of 60° are preferred, under which the scavenging efficiency reaches as high as 73.7%. Excessive swirl intensity has a negative effect on SLS performance, which should be controlled to a proper extent.     

欧洲计算流体力学——个人观点

介绍了70年代初到20世纪末欧洲科学家对CFD发展的主要贡献,并重点关注了对国际流体力学数值方法会议(ICNMFD)和国际计算力学学术会议(ISCFD)的成功举办具有重大贡献的科学家.ICNMFD始于1969年(新西伯利亚),由参与了美国和苏联太空竞赛的两国科学家联合创办,而ISCFD则作为ICNMFD在亚太地区的同类会议初创于1995年(东京).由Oshima教授和本人提议,得益于上述两个会议全体科学委员会成员的共同努力,ICNMFD和ISCFD自2000年开始,合并成为每两年举办一次的国际计算流体力学会议(ICCFD).绝大部分本文讨论所涉及的学者通常都在受邀进行大会报告后,成为了前述三大国际会议中的一个或多个科学委员会的成员.作者对文中讨论所涉及的研究人员的圈定负有全权责任,上述人员的选择更多地基于应用而非理论计算流体力学,因此尚存在不完善之处.此外由于文中所讨论的学者大都是作者在40多年计算流体力学研究生涯中的私交好友,因此并没有将年轻一代的科学家考虑进来,但这并非由于他们的贡献不重要.另外值得注意的是欧洲的计算流体力学同美国的计算流体力学有非常紧密的联系,本文讨论所涉及的研究学者有些最早从欧洲开始涉足计算流体力学而现在则生活和工作于美国(例如Glowinski,Roe,Van Leer等人),而有些则是在美国取得了博士学位(例如Launder,Napolitano),他们都同美国的科学家进行过合作,因此很难清晰地对欧洲和美国的计算流体力学进行界定.对那些现已移居美国的欧洲科学家们,本文优先考虑了他们移居之前的贡献.最后但并非是最不重要的,作者通过电子邮件一一联系了文中所涉及的科学家,希望他们本人能够给出其自身贡献的评价草稿,从而帮助作者以最权威的视角在文中相应章节对其工作进行评述.本文向提供自述评价的诸位致以谢意,同时也希望其他同仁能够对本人不恰当的擅自评述给予谅解.     

光电信息传输技术研究

文章对光电信息传输技术进行了研究,介绍了一种光电信息传输装置的组成和工作原理,并 对其关键技术进行了分析。     

可重复使用运载器机翼外形优化

研究了有翼可重复使用运载器机翼平面外形参数优化设计问题。在高超声速配平和低速水平着陆性能等约束条件下，利用混合遗传算法和粒子群优化算法来选择最优机翼外形参数，使机翼重量最小化。在已知的不同质心位置下求得相应的最小重量机翼外形。亚声速气动力采用面源法计算，高超声速气动力采用修正的牛顿流理论计算。为了降低计算耗费，使用均匀设计和逐步回归方法建立了低速气动力回归模型。整个优化过程在Matlab集成环境下完成。     

卡尔曼滤波中动态模型的分级解耦

本文对卡尔曼滤波中动态模型的解耦提一种新的方法，这种方法其实质是把对整个动态模型的并联滤波估计变成对整个动态模型的分级串联滤波估计。这种分解耦的方法即可用于线性动态模型又可用于非线性动态模型。对于阶数很高的非线性动态模型，这种方法对于提高估计精度，减少量和计算时间，更有其优越性。本文利用一个九阶非线性动态模型进行仿真计算。计算结果说明了这种方法的有效性。     

用渐消卡尔曼滤波器防止捷联惯导系统滤波发散

为有效防止捷联惯导系统滤波发散,根据卡尔曼滤波原理研究了滤波发散的原因,引入了渐消卡尔曼滤波和遗忘因子。对常规卡尔曼滤波器和渐消卡尔曼滤波器的滤波进行的仿真结果表明,采用渐消卡尔曼滤波器在工程上可解决捷联惯导系统滤波发散。     

A direct position determination method with combined TDOA and FDOA based on particle filter

The localization of a stationary transmitter using moving receivers is considered. The original Direct Position Determination (DPD) methods, with combined Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA), do not perform well under low Signal-to-Noise Ratio (SNR), and worse still, the computation cost is difficult to accept when the computational capabilities are limited. To get better positioning performance, we present a new DPD algorithm that proves to be more computationally efficient and more precise for weak signals than the conventional approach. The algorithm partitions the signal received with the same receiver into multiple non-overlapping short-time signal segments, and then uses the TDOA, the FDOA and the coherency among the short-time signals to locate the target. The fast maximum likelihood estimation, one iterative method based on particle filter, is designed to solve the problem of high computation load. A secondary but important result is a derivation of closed-form expressions of the Cramer-Rao Lower Bound (CRLB). The simulation results show that the algorithm proposed in this paper outperforms the traditional DPD algorithms with more accurate results and higher computational efficiency, and especially at low SNR, it is more close to the CRLB.     

Saw-tooth substorms: Inconsistency of repetitive bay-like magnetic disturbances with behavior of aurora

The relationships between the magnetic disturbance onsets, aurora dynamics and particles injections at the geostationary orbit have been analyzed in detail for 25 sawtooth substorms. It is shown that inconsistency between the above signatures of the substorms onset is typical of the powerful sawtooth substorms, unlike the isolated (“classical”) magnetospheric substorms. The distinguishing feature of the aurora in case of saw-tooth substorms is permanently high level of auroral activity irrespective of the magnetic disturbance onsets and the double oval structure of the aurora display. The close relationship between the aurora behavior and the particle injections at geostationary orbit is also broken. The conclusion is made, that the classical concept of the substorm development, put forward by Akasofu (1964) for isolated substorms, is not workable in cases of the sawtooth disturbances, when the powerful solar wind energy pumping into the magnetosphere provides a permanent powerful aurora particle precipitation into the auroral zone.     

遗传算法在弹道数据融合中的应用

目前靶场采用全测元融合滤波的方式确定目标飞行器弹道,为测控设备提供引导信息并为安全决策和指挥显示提供数据支持。随着靶场测控设备种类和数量越来越丰富,而新的试验任务又对实时弹道融合解算精度提出了更高的要求,全测元融合处理能否提供高精度的融合弹道和快速地从海量融合方案中寻找最优的方案是弹道测量数据融合急需解决的问题。本文提出了基于遗传算法的最优融合方案选择方法,利用该方法得到的融合弹道精度优于全测元融合方案,仿真结果表明了方法的有效性。