An extended chirp scaling algorithm for spaceborne sliding spotlight synthetic aperture radar imaging

A system impulse response with low sidelobes is critical in synthetic aperture radar（SAR） images because sidelobes contribute to noise and interfere with nearby scatterers. However,the conventional tricks of sidelobe suppression are unable to be exactly applied to the case of spaceborne sliding spotlight SAR due to great azimuth shifts in both time and frequency domains. In this paper, an extended chirp scaling algorithm is presented for spaceborne sliding spotlight SAR data imaging. The proposed algorithm firstly uses the spectral analysis（SPECAN） technique to avoid the azimuth spectrum folding effect and then employs the chirp scaling（CS） algorithm to achieve data focusing, i.e., the so-called two-step approach. To suppress the sidelobe level, an efficient strategy for the azimuth spectral weighting which only involves matrix multiplications and short fast Fourier transformations（FFTs） is proposed, which is a post-process executed on the focused SAR image and particularly simple to be implemented. The SAR image processed by the proposed extended CS algorithm is very precise and perfectly phase-preserving. In the end, computer simulation results verify the analysis and confirm the validity of the proposed algorithm.     

Improved bolometric corrections for WR stars

Evolutionary models allow an assignment of both a mass and a luminosity to a Wolf-Rayet (WR) star in a cluster, and hence allow a determination of the Bolometric Correction (B.C.). The B.C.'s derived for WN stars range from –4.0 to –6.0 with the expected trend of larger values (in absolute values) for stars with higher excitation spectra. For WC stars, there is little evidence for a similar trend; most observations presented here are consistent with B.C.=–4.5, as found by Smith and Maeder (1989). The convergence of B.C. values derived from evolutionary and atmospheric models is extremely satisfactory, giving increased confidence in both methods.     

Oxygen and carbon abundances for the WO stars

We present relative carbon and oxygen abundances derived via an optically thin recombination line analysis for five WO stars, and compare the derived abundances to recent evolutionary models. New recombination coefficients for O⁴⁺, O⁵⁺ and O⁶⁺ ions have allowed total oxygen abundances to be derived. The final C/He values range between 0.4 and 0.8 by number, consistent with C/He ratios previously derived for WC stars. O/He values range between 0.1–0.4, with C/O ratios between 2.1–4.8.A comparison of the derived abundances with the evolutionary models of Maeder (1990) and Schaller et al. (1992) shows promising agreement. We find reasonably tight agreement between the abundances derived for the WO stars. The degree of enhancement for the oxygen abundances in regions of low metallicity predicted by Maeder (1990) is not corroborated by our results.Additionally we present a revised, quantified classification scheme for WO subtypes. We extend the class to lower excitation, WO5, and place MS 4 (=WR 30a) in this class. Equivalent widths of the strongest lines of MS 4 are also presented. Finally, we present new observations of DR 1, a WO3 star located in the dwarf irregular galaxy IC 1613.     

Line blanketed non-LTE atmosphere models for Wolf-Rayet stars

A standard non-LTE Wolf-Rayet star atmosphere model is compared with an identical model but including line-blanketing. The structures of the two models are presented in detail and the implications of blanketed models for spectroscopic analyses are discussed.     

HD 190918: Arbiter between models for Wolf-Rayet stars

New orbital elements for the 112.4 day WN4.5+O9.5Ia spectroscopic binary HD 190918 are presented. Solutions consistent with the O star being a main sequence star or a supergiant are obtained wheni=25° or 20°, respectively. We predict the X-ray flux to be expected from this system and note how an observation of the X-ray flux from HD 190918 would help one to choose the most probable value of the inclination.     

A parallel square-root algorithm for modified extended Kalmanfilter

A parallel square-root algorithm and its systolic array implementation are proposed for performing modified extended Kalman filtering (MEKF). The proposed parallel square-root algorithm is designed based on the singular value decomposition (SVD) and the Faddeev algorithm, and a very large scale integration (VLSI) systolic array architecture is developed for its implementation. Compared to other square root Kalman filtering algorithms, the proposed method is more numerically stable. The VLSI architecture described has good parallel and pipelining characteristics in applying to the MEKF and achieves higher efficiency. For n-dimensional state vector estimations, the proposed architecture consists of O(2n²) processing elements and uses O ((s+17)n) time-steps for a complete iteration at each instant, in contrast to the complexity of O((s+6) n³) time-steps for a sequential implementation, where s≈log n     

Tests for coalescing binary neutron stars as cosmological origin of gamma-ray bursts

Theoretical logN-logS distributions and (V/V _max) tests of gamma-ray bursts in the model of coalescence of neutron star (NS+NS) and/or NS+black hole (NS+BH) binaries are calculated for a flat Universe (=1) with different values of the cosmological constant and under various assumptions about the star formation history. The observed logN-logS distribution and value of (V/V _max)=0.33 for 411 bursts with knownC _max/C _lim from the 2d BATSE catalogue are best fitted with a model for which = 0.2 and primary star formation occurs at redshiftsz5–6.     

三维裂纹整体参数化模化方法

发展一种独立于几何结构基于参数设计的三维平片裂纹扩展有限元模拟通用方法.该方法通过包含整个裂纹面的镶嵌裂纹模型,具有裂纹体自动形成,模拟裂纹多自由度扩展的能力.通过多个典型的工程裂纹扩展模拟算例,说明该方法的精度、效率与通用性.      

整体壁板压弯成形的形状控制

针对整体壁板压弯成形过程中由于回弹导致的压弯成形精度低和不可控问题,提出整体壁板压弯成形形状控制方法。以铝合金（7050-T7451）机翼整体壁板为研究对象,设计了整体壁板缩比试件模型,基于弹塑性变形理论和几何分析建立了压弯成形局部变形下压量解析预测模型,基于有限元法建立了压弯成形整体变形有限元仿真预测模型,并将模拟结果与实验结果进行了对比;在压弯成形局部-整体变形预测模型的基础上,综合考虑局部-整体变形精度,利用迭代补偿机制与逐步逼近思想,构建了压弯成形轮廓曲线迭代模型。通过与传统的试错法进行对比,研究结果表明所提方法能够以更高的精度、更快的收敛速度有效控制压弯件的成形形状。     

Discrete extended Kalman filter for radar point error reduction

A recently proposed method of reducing target glint errors in radar systems is further enhanced with the development of a discrete target model and discrete Kalman filter (DKF). Simulation results demonstrating the DKF are presented, and the limits of the usefulness of this method are investigated. The major advantage of the DKF is that it can be implemented in software in the digital processor of the radar offering flexibility over continuous-time filters     

Parameter extraction for the extended cantilever model of magneticcomponent windings

The extended cantilever model (ECM) for transformer or inductor windings is convenient from the parameter extraction standpoint since, theoretically, each model parameter can be extracted from a single measurement of an open-circuit voltage or a short-circuit current. The impedance of the sensor used to measure a short-circuit current, however, makes the “short” less ideal, and it has been believed that each parameter in the ECM cannot be directly measured unless the impedance of the current sensor is negligible. It is shown that as long as the ECM parameters are reactive (inductive or capacitive) and the current sensor resistive, the current-sense resistance does not have to be restrictively small for the ECM parameters to be directly measurable. A linear, broadband formulation is also presented for extraction of the model admittances using current sensors with significant impedances     

Robust extended Kalman filter with input estimation for maneuver tracking

This study investigates the problem of tracking a satellite performing unknown continuous maneuvers. A new method is proposed for estimating both the state and maneuver acceleration of the satellite. The estimation of the maneuver acceleration is obtained by the combination of an unbiased minimum-variance input and state estimation method and a low-pass filter. Then a threshold-based maneuver detection approach is developed to determinate the start and end time of the unknown maneuvers. During the maneuvering period, the estimation error of the maneuver acceleration is modeled as the sum of a fluctuation error and a sudden change error. A robust extended Kalman filter is developed for dealing with the acceleration estimate error and providing state estimation. Simulation results show that, compared with the Unbiased Minimum-variance Input and State Estimation (UMISE) method, the proposed method has the same position estimation accuracy, and the velocity estimation error is reduced by about 5 times during the maneuver period. Besides, the acceleration detection and estimation accuracy of the proposed method is much higher than that of the UMISE method.     

Quadratic extended Kalman filter approach for GPS/INS integration

GPS/INS integration system has been widely applied for navigation due to their complementary characteristics. And the tightly coupled integration approach has the advantage over the loosely coupled approach by using the raw GPS measurements, but hence introduces the nonlinearity into the measurement equation of the Kalman filter. So the typical method for navigation using measurements of range or pseudorange is by linearizing the measurements in an extended Kalman filter (EKF). However, the modeling errors of the EKF will cause the bias and divergence problems especially under the situation that the low quality inertial devices are included. To solve this problem, a quadratic EKF approach by adding the second-order derivative information to retain some nonlinearities is proposed in this paper. Simulation results indicate that the nonlinear terms included in the filtering process have the great influence on the performance of integration, especially in the case that the low quality INS is used in the integrated system. Furthermore, a two-stage cascaded estimation method is used, which circumvents the difficulty of solving nonlinear equations and greatly decreases the computational complexity of the proposed approach, so the quadratic EKF approach proposed in this paper is of great value in practice.     

Loopy belief propagation based data association for extended target tracking

The data association problem of multiple extended target tracking is very challenging because each target may generate multiple measurements. Recently, the belief propagation based multiple target tracking algorithms with high efficiency have been a research focus. Different from the belief propagation based Extended Target tracking based on Belief Propagation(ET-BP) algorithm proposed in our previous work, a new graphical model formulation of data association for multiple extended target tracki...     

大型整体金属结构增材制造技术适航验证

针对民用飞机主承力结构金属增材制造技术适航验证方面存在的问题,开展金属结构增材制造技术适航验证研究。通过增材制造技术适用适航条款分析,给出了民用飞机金属结构增材制造技术适航验证思路,包括材料规范的建立、增材制造工艺的认证、材料强度性能的确定、结构特殊系数的选取和结构性能的验证,对每项验证方法给出了具体实施途径。以某型号前起落架支柱外筒增材制造A-100超高强度钢为例,给出了大型整体金属结构增材制造技术适航验证具体实施方案。     

Radio emission from EA eclipsing binaries: Evidence for kilogauss early- and late-type stars

Space Science Reviews -     

基于模糊积分的航空发动机MTBF动态评估方法

针对传统评估方法无法解决航空发动机可靠性评估的滞后问题,采用模糊积分方法建立航空发动机动态可靠性评估模型.引入故障强度因子,建立降半正态型分布的故障强度因子函数表示故障纠正过程.通过故障强度因子得到模糊密度,采用Choquet模糊积分方法融合发动机各阶段可靠性指标,解决了航空发动机可靠性指标的动态评估问题.对在研的某小型涡扇发动机进行了应用研究,结果表明采用Choquet模糊积分数据融合方法进行动态评估能考虑到不同阶段故障数据的重要性,对发动机当前的可靠性水平能给予更加科学的评价.      

三元整体叶轮的曲面造型及其计算机辅助制造技术

针对一种三元整体叶轮,采用B样条方法对叶片中性面上顶部和根部的两组数据点进行了插值曲线的反算,进而构造出直纹面形式的叶片中性面和叶片曲面;研究了在五坐标机床上采用球头棒铣刀侧铣加工叶轮时的刀位计算方法,给出了在UG环境下的叶轮曲面建模方法及其数控加工仿真步骤。