主成分估计的发展和完善及其在制导工具误差分离中的应用

本丈针对制导工具误差模型的特点,对[4]的主成分估计法作了深入的理论研究,发展和完善了[4]的方法,得到了一种适用于制导工具误差系数分离的方法。     

A novel target detection approach based on adaptive radar waveform design

To resolve problems of complicated clutter, fast-varying scenes, and low signal-clutterratio (SCR) in application of target detection on sea for space-based radar (SBR), a target detection approach based on adaptive waveform design is proposed in this paper. Firstly, complicated sea clutter is modeled as compound Gaussian process, and a target is modeled as some scatterers with Gaussian reflectivity. Secondly, every dwell duration of radar is divided into several sub-dwells. Regular linear frequency modulated pulses are transmitted at Sub-dwell 1, and the received signal at this sub-dwell is used to estimate clutter covariance matrices and pre-detection. Estimated matrices are updated at every following sub-dwell by multiple particle filtering to cope with fast-varying clutter scenes of SBR. Furthermore, waveform of every following sub-dwell is designed adaptively according to mean square optimization technique. Finally, principal component analysis and generalized likelihood ratio test is used for mitigation of colored interference and property of constant false alarm rate, respectively. Simulation results show that, considering configuration of SBR and condition of complicated clutter, 9 dB is reduced for SCR which reliable detection requires by this target detection approach. Therefore, the work in this paper can markedly improve radar detection performance for weak targets.     

航天测控系统卫星鉴定技术研究

针对基于卫星的航天测控系统精度鉴定技术开展了深入的分析和研究,提出了较为全面的卫星鉴定的思路和技术途径。在时序比对统计方法的基础上对利用卫星进行系统误差分离的方法展开了深入研究,并将比对估计统计方法和"EMBET"自鉴定方法有机结合起来。通过可行性分析和工程应用充分验证了利用卫星对航天测控系统进行精度鉴定的可行性、正确性和优越性。     

Two-dimensional ionospheric total electron content map (TEC) seismo-ionospheric anomalies through image processing using principal component analysis

This paper examines China’s Wenchuan Earthquake of 12 May 2008 (UTC) (M_w = 7.9) using principal component analysis and image processing of the global ionospheric map (GIM) for the region. Transforms are conducted for 4, 8, and 9 May 2008. The GIMs are subdivided into 100 (36° in Long. and 18° in Lat.) smaller maps. The smaller maps (71 × 71 pixels) form the transform matrices of corresponding dimensions (2 × 1) through image processing. The transform allows for principle eigenvalues to be assigned to TEC anomalies for May 8 and 9. These may represent the seismo-ionospheric signature described by Zhao et al. (2008). The May 4 result shows no evidence of TEC anomalies. These results are in keeping with the findings of Liu et al. (2009). It is evident in this research that PCA could have the capacity to detect both the seismo-ionospheric signature and determine the approximate location of an earthquake’s epicenter prior to nucleation.     

位次加权复合评价模型的构想

在多指标体系评价方法的研究中，不同研究者根据自身数据资料、时间等有限条件，选择或主观赋权评价或客观评价，但仅仅采用一种方法进行评价，结果很难令人满意。为了解决这一问题，提出了结合国内外学术界盛行的以主观赋权来进行评价的层次分析法（AHP）和以客观赋权来进行评价的主成分分析法（PCA）两种方法，通过位次进行最终评价的加权评价模型，命名为“位次加权复合评价模型”。该模型是两种基本方法的组合，能达到优势互补的目的，全面、准确地做出评价。     

线性模型的BL估计和BP估计

线性模型最小二乘方估计的改进大致有两条途径：利用验前信息，如贝叶斯估计，改变估计形式，如特征根估计，主成分估计，本文提出ＢＬ（贝叶斯加特征根）估计和ＢＰ（贝叶斯加主成分）估计，实现两类途径的综合，有实用和理论价值。     

基于主成分分析的航天企业风险评价研究

基于我国我数航天企业正处于从计划经济到市场经济转轨阶段的现实，对比航天企业经济效益综合评估的诸多方法，综合考虑主成分分析法具有全面性、可比性、合理性和可行性等优点，建立了一套较为科学的航天企业风险评价方法，即在确立航天企业风险评价指标体系的基础上，运用主成分分析方法对风险指标体系进行科学的分析化筒，通过资信评价对航天企业风险状况展开评判。最后，结合实例作了进一步具有的说明。     

Use of principal component analysis in the identification of the spatial pattern of an ionospheric total electron content anomalies after China’s May 12, 2008, M = 7.9 Wenchuan earthquake

This paper uses principal component analysis (PCA) to determine the spatial pattern of total electron content (TEC) anomalies in the ionosphere post the China’s Wenchuan Earthquake of 12 May, 2008 (UTC) (M_w = 7.9). PCA and image processing are applied to the global ionospheric map (GIM) with transforms conducted for the time period 08:00–10:00 UT on 12 May 2008. Results show that at a height of approximately 200 km the anomaly is widespread and less intense; however, it becomes more localized with height reaching maximum intensity and localization at an altitude of 300 km. The spatial distribution is remarkably similar to that reported for a TEC anomaly previously identified as a precursor anomaly on May 9, 2008 for the same time period. Potential causes of the results are discussed with emphasis given to vertical acoustic gravity waves based on the spatial pattern identified.     

确定自旋航天器旋转轴的动平衡方法

本文研究自旋航天器的旋转轴的试验测定方法，给出自旋轴方向的表示方法及其与转动惯量，惯性积的关系，建立了利用动平衡试验的不平衡量确定自旋轴相对平衡旋转轴偏差的计算机公式，从而可以利用动平衡试验的测试结果确定自自旋轴的方向，文末的例中讨论了动平衡机的最小可达剩余不平衡量对试验结果的影响。