检测陀螺仪转子安装精度的一种新方法

陀螺仪转子的安装精度对其运行的稳定性和精确性有很大的影响。由于要求的安装误差很好，因此，对其误差的测量要求准则。其测量误差应经安装误差小1／10以及上，一般的检测方法很难达到要求，为此介绍了一种新型的光电检测方法，该方法利用狭缝的光学傅立叶变换提取陀螺仪转子的误差信息，采用计算机进行信息处理，从而完成陀螺仪转子的自动检测和分类，该方法也可用于其他一些精密年的自动检测处理。     

GFMIMU/GPS组合导航系统信息融合技术研究

GFMIMU/GPS(Gyroscope Free Micro Inertial Measurement Unit/Global Positioning System)组合导航系统具有抗高g值冲击、低成本、长寿命、较高精度等优点,在低成本精确制导武器和微小型无人机具有广阔的应用前景。针对工程应用中信息融合的精度和实时性两方面的要求,运用基于模型误差预测的扩展卡尔曼滤波MEP-EKF(Extended Kalman Filter base on Model Error Predictive)方法,将MEMS(Micro Electromechanical Systems)加速度计的误差作为模型误差来考虑,对GFMIMU/GPS组合导航系统进行建模仿真,将其与EKF和UKF(Unscented Kalman Filter)方法进行了仿真比较,在方位误差角的估计上取得了比他们精度高的仿真结果,而且MEP-EKF所需时间是UKF的10%.     

The detection of structural deformation errors in attitude determination

In the determination of the attitude parameters from a multi-antenna GPS array, one of the major assumptions is that the body frame is rigid at all times. If this assumption is not true then the derived attitude parameters will be in error. It is well known that in airborne platforms the wings often experience some displacement during flight, especially during periods of initializing maneouvres, such as taking off, landing,and banking. Often it is at these points in time that it is most critical to have the most precise attitude parameters.There are a number of techniques available for the detection of modeling errors.The CUSUM algorithm has successfully been implemented in the past to detect small persistent changes. In this paper the authors investigate different methods of generating the residuals, to be tested by the CUSUM algorithm, in an effort to determine which technique is best suited for the detection of structural deformation of an airborne platform. The methods investigated include monitoring the mean of the residuals generated from the difference between the known body frame coordinates, and those calculated from the derived attitude parameters. The generated residuals are then passed to a CUSUM algorithm to detect any small persistent changes. An alternative method involves transforming the generated residuals into the frequency domain through the use of the Fast Fourier Transform. The CUSUM algorithm is then used to detect any frequency changes. The final technique investigated involves transforming the generated residuals using the Haar wavelet. The wavelet coefficients are then monitored by the CUSUM algorithm in order to detect any significant change to the rigidity of the body frame.Detecting structural deformation, and quantifying the degree of deformation, during flight will ensure that these effects can be removed from the system, thus ensuring the most precise and reliable attitude parameter solutions. This paper, through a series ofsimulations, will assess the effectiveness of the above mentioned techniques for detecting structural deformation effects on a GPS multi-antenna array. These principles are then tested with experimental data.     

大惯性转台准确定位的自调整控制方法

对于大惯性转台的控制 ,提出了自调整控制算法 ,利用历史信息实现转台减速点的智能调整 ,给出了减速点计算公式 ,解决了大惯性转台快速运行与准确定位的矛盾 .利用Matlab对系统进行了建模仿真研究 ,得到了满意效果 ,证明了自调整算法的有效性 .     

Analysis and compare of location technologies supporting LBS

Location technology is the key part of location based service. Different technologies have different accuracy, modifying to network and cost of operating. Also these technologies have limitation to network. This paper compares existing popular location technologies and gives some suggestions about choosing of location technologies in GSM and CDMA systems.     

3S技术在土地资源管理中的应用

"3S"技术作为当前信息管理的高新技术,在土地资源管理中具有广阔的应用前景。本文在介绍RS,GIS,GPS及"3S"集成的基础上,从土地利用调查、土地利用总体规划、土地利用动态监测、土地资源评价和土地整理五个方面简要阐述了"3S"技术在土地管理中的应用,并展望了"3S"技术在土地管理中的应用前景。     

浅析GPS高程测量在水利工程中的应用

简要介绍了GPS高程测量的原理,结合其在水利工程中的应用实例,对GPS高程测量技术进行了探讨。     

吴江市D级地籍GPS控制网的数据处理与分析

介绍了吴江市D级GPS控制网改造过程中的数据处理，尤其是新旧控制网的衔接过程，探讨了选用起算点的方法，并对苏州独立坐标的使用提出了建议。该控制网的数据处理过程对其他城市做GPS控制网改造时有一定的参考价值。     

双机串口互联实现GPS数据的模拟读取

提出了一种利用两台以串口互相连接的计算机来实现对GPS全球定位系统定位信息的模拟发送和接收的方法。     

基于多维行为分析的窃电高风险客户精准定位方法

窃电行为对国家电力系统及供电公司造成了极大的损失,故反窃电技术是电力行业的重要研究方向之一。传统的窃电用户定位方法存在定位不准确、查处效率低等问题,为了解决上述问题,提出基于多维行为分析的窃电高风险客户精准定位方法。首先通过相关矩阵R及特征值谱熵正则化完成用户数据去噪,其次在UFS-MI模型内提取用户数据特征,分析用户用电的多维行为,最后根据逻辑回归算法完成窃电高风险客户的精确定位。实验结果表明,所提方法的窃电高风险客户定位精准度较高,误判率较低,整体定位效果较好。