利用神经网络预报中国地区电离层f0F2

利用神经网络技术并考虑太阳和地磁活动对电离层的影响,提出了一种提前5 h预报中国地区电离层临界频率f0F2的方法.网络输入包括时间、季节、地理纬度、太阳天顶角、最近一天的12个观测值(F-23,F-22,F-21,F-20,F-19,F-18,F-5,F-4,F-3,F-2,F-1,F0)和前30天滑动平均值(A-24,A-23,A-22,A-4,A-3A-2,A-1,A0),网络输出分别为未来5 h的f0F2值F+1,F+2,F+3,F+4,F+5.选取乌鲁木齐、长春、重庆和广州站1958-1968年间的数据训练网络,利用中国9个电离层站的历史数据检验网络,根据均方根误差衡量网络性能的好坏.结果表明,神经网络的预报结果能较好地符合实测数据.这说明利用神经网络实现中国地区电离层f0F2的时空预报是可行的.     

Solar activity variations of equatorial spread F occurrence and sustenance during different seasons over Indian longitudes: Empirical model and causative mechanisms

A comprehensive analysis using nearly two decades of ionosonde data is carried out on the seasonal and solar cycle variations of Equatorial Spread F (ESF) irregularities over magnetic equatorial location Trivandrum (8.5°N, 77°E). The corresponding Rayleigh Taylor (RT) instability growth rates (γ) are also estimated. A seasonal pattern of ESF occurrence and the corresponding γ is established for low solar (LSA), medium solar (MSA) and high solar (HSA) activity periods. For LSA, it is seen that the γ maximizes during post sunset time with comparable magnitudes for autumnal equinox (AE), vernal equinox (VE) and winter solstice (WS), while for summer solstice (SS) it maximizes in the post-midnight period. Concurrent responses are seen in the ESF occurrence pattern. For MSA, γ maximizes during post-sunset for VE followed by WS and AE while SS maximises during post-midnight period. The ESF occurrence for MSA is highest for VE (80%), followed by AE (70%), WS (60%) and SS (50%). In case of HSA, maximum γ occurs for VE followed by AE, WS and SS. The concurrent ESF occurrence maximizes for VE and AE (90%), WS and SS at 70%.The solar cycle variation of γ is examined. γ shows a linear variation with F10.7?cm flux. Further, ESF percentage occurrence and duration show an exponential and linear variation respectively with γ. An empirical model on the solar activity dependence of ESF occurrence and sustenance time over Indian longitudes is arrived at using the database spanning two solar cycles for the first time.     

电离层峰下结构的数值模拟

在考虑由扩散与中性风引起的动力学输运与有原子离子Ｏ＾＋（＾４Ｓ），Ｏ＾＋（＾２Ｄ）与Ｏ＾＋（＾２Ｐ）以及分子离子Ｏ２＾＋，ＮＯ＾＋，Ｎ２＾＋参加光化学反应的电离层－热层体系中，提出一个一维时变的电离层剖面数值模型，通过数值计算着重讨论了武昌地区Ｆ２层峰以下，尤其是Ｅ／Ｆ与Ｆ１／Ｆ２谷区的电离层形态与有关过程，得到如下结论：（１）对于原子离子，单一成分Ｏ＾＋（＾４Ｓ）的光化学反应与输运，也有助于形成     

LSTM神经网络在太阳F10.7射电流量中期预报中的应用

F_10.7指数作为大气密度经验模型的重要输入参量,其预报精度直接影响航天器轨道预报精度.研究发现,太阳活动表现出长时间尺度上平均11年和中短时间尺度平均27天的周期性变化特征.依据这一观测事实,基于长短期记忆单元（Long Short-term Memory,LSTM）递归神经网络方法进行F_10.7指数未来27天的中期预报.利用一个连续长时段F_10.7数据作为训练数据,构建LSTM神经网络训练和预测模型,分别预测太阳活动高低年未来27天的F_10.7指数.结果表明,太阳活动高年的第27天F_10.7指数预报平均相对误差最优可达10%以内,低年最优可达2%以内.      

Time series modeling and analysis of trends of daily averaged ionospheric total electron content

A 10.7 cm solar radio flux F10.7, geomagnetic planetary equivalent amplitude (Ap index), and period variations were considered in this paper to construct a linear model for daily averaged ionospheric total electron content (TEC). The correlation coefficient of the modeled results and International GNSS Service (IGS) observables was approximately 0.97, which implied that the model could accurately reflect the realistic variation characteristics of the daily averaged TEC. The influences of the different factors on TEC and its characteristics at different latitudes were examined with this model. Results show that solar activity, annual and semiannual cycles are the three most important factors that affect daily averaged TEC. Solar activity is the primary determinant of TEC during periods with high solar activity, whereas periodic factors primarily contribute to TEC during periods with minimum solar activity. The extent of the influences of the different factors on TEC exhibits obvious differences at varying latitudes. The magnitude of the semiannual variation becomes less significant with the increase in latitude. Furthermore, a geomagnetic storm causes an increase in TEC at low latitudes and a decrease at high latitudes.     

Algorithm and experiments of six-dimensional force/torque dynamic measurements based on a Stewart platform

Stewart platform (SP) is a promising choice for large component alignment, and interac-tive force measurements are a novel and significant approach for high-precision assemblies. The designed position and orientation (P&O) adjusting platform, based on an SP for force/torque-driven (F/T-driven) alignment, can dynamically measure interactive forces. This paper presents an analytical algorithm of measuring six-dimensional F/T based on the screw theory for accurate determination of external forces during alignment. Dynamic gravity deviations were taken into con-sideration and a compensation model was developed. The P&O number was optimized as well. Given the specific appearance of repeated six-dimensional F/T measurements, an approximate cone shape was used for spatial precision analysis. The magnitudes and directions of measured F/Ts can be evaluated by a set of standards, in terms of accuracy and repeatability. Experiments were also performed using a known applied load, and the proposed analytical algorithm was able to accu-rately predict the F/T. A comparison between precision analysis experiments with or without assem-bly fixtures was performed. Experimental results show that the measurement accuracy varies under different P&O sets and higher loads lead to poorer accuracy of dynamic gravity compensation. In addition, the preferable operation range has been discussed for high-precision assemblies with smal-ler deviations.     

基于双DSP的惯性导航计算机平台设计

为满足某战车用定位定向装置向其核心部件———惯性导航计算机提出的强实时、高精度的定位和导航信息处理要求,介绍了一种采用双DSP＋FPGA的嵌入式计算机平台设计方法。从硬件设计、可编程逻辑设计、软件设计三个方面详细说明基于双TMS320 C6713 B＋FPGA的惯性导航系统计算机平台的实现。针对正交方波、正负脉冲、同步方波等惯导信号的特点展开硬件和可编程逻辑设计。从而满足了系统要求,对同类产品的工程设计具有一定的参考价值。     

TMS320C62x的并行性和应用研究

TMS32 0 C62 x在信号处理领域得到广泛的应用,也提出了高度并行处理在 DSP的实现问题。给出如何实现高性能 C62 x应用的一般性方法,并比较了 3种高速 DSP的典型性能指标,最后给出用 C62 0 1实现了SAR信号处理机的预处理模块的实例。     

DFT算法并行性分析与实现研究

针对离散Fourier变换(DFT)在实时信号处理中具有广泛应用、而其运算速度又受到DSP器件性能限制的情况,进行了DFT的并行性研究及并行性能分析;并在基于并行多处理机平台-TMS320C80的编程结构基础上,实现了两种并行DFT算法。基于TMS320C80进行的试验表明:所开发的并行DFT算法的运行结果与理论分析吻合,该并行算法的速度和精度都得到了保证。     

Wave-like perturbations in the ionospheric F2-layer observed after the Ms8.1 Samoa earthquake of September 29, 2009

A study of the critical frequency foF2 variations after the large earthquake (M_s = 8.1) which occurred on 29 September, 2009 in the region of Samoa Islands in the Pacific Ocean is carried out using data of the ionospheric station of Kwajalein. The epicenter of the earthquake was located at about 184 km southwest from Apia (the capital of West Samoa). It was found that wave-like perturbations of foF2 were observed for ∼3 h above the station (located approximately 3560 km northwest from the epicenter). The amplitude of the disturbance was as large as ∼20% of the average magnetic quiet day foF2 values. A comparison of the observed perturbations of foF2 with the ones detected at Stanford ionospheric station after the Alaska earthquake of 28 March 1964 (M_s = 8.4) showed a close similarity of the wave-like perturbations of foF2 in both cases.