惯性/图像组合导航中的双模态双滤波器研究

在简要介绍了飞行器视觉图像定位导航原理及模型的基础上，针对其非线性模型的推广Kalman滤波的收敛与初始条件有关的问题，将其定位导航的两种模型（线性与非线性模型）组合，提出了双模态双滤波器滤波方法。这种滤波能很好地解决非线性推广Kalman滤波的收敛问题。通过第一个线性滤波器的滤波估计给第二个非线性滤波器提供滤波初值，使这一非线性滤波收敛，并能取得较高的滤波精度。     

简化七阶CQKF及其在SINS大失准角初始对准中的应用

针对捷联惯性导航系统（SINS）大失准角初始对准的滤波过程，提出简化七阶正交容积卡尔曼滤波算法（7th-SCQKF）。根据简化容积卡尔曼滤波(CKF)理论，推导出改进的简化七阶CKF算法（7th-MSSRCKF），改进了原简化七阶CKF（7th-SSRCKF）的性能；同时，在7th-SSRCKF和7th-MSSRCKF基础上，引入正交半径准则，提出简化七阶CQKF（7th-SCQKF）算法，提高了滤波精度；并将简化七阶CQKF（7th-SCQKF）算法应用到SINS的大失准角初始对准仿真中，结果表明，7th-SCQKF比7th-MSSRCKF的滤波精度高，验证了新算法的正确性和有效性。     

Kalman filter based estimation of differential hardware biases with triangular interpolation technique for IRNSS

Ionosphere delay correction is the main error correction to the computation of single frequency user position using satellite navigation. However ionosphere delay consists of not only delay but also frequency dependent differential hardware biases from satellite and receiver ends. For ionosphere point of view, Indian Regional Navigation Satellite System (IRNSS) service area comes in equatorial anomaly region. It is a unique satellite navigation system which operates at L5 and S frequencies and consists of Geostationary Earth Orbit (GEO) and Geo Synchronous Orbit (GSO) satellite constellation. With IRNSS measurements availability, there is a good opportunity to estimate and analyse differential hardware biases with GEO/GSO combination and with equatorial ionosphere variation. In this paper, Kalman filter based estimation with triangular interpolation technique is used to estimate differential hardware biases for all IRNSS satellites and reference receivers at L5 frequency. The standard deviation of the 15?days of daily estimation of satellite differential hardware biases is in the range of 0.32 to 1.17 TECU for all IRNSS satellites. Similarly, the standard deviation of the 15?days of daily estimation varies up to 2.85 and 6.0 TECU for receiver differential hardware biases during calm and stormy period respectively. The ionosphere delay computed using estimated differential hardware biases is compared with Global Ionosphere Map (GIM) data. A rigorous analysis is carried out to study the error in the estimation in terms of input data noise level, satellite constellation and effect of latitude. Our result reveals that over IRNSS service area, there is an exponential increase in the error in the estimation of receiver differential hardware biases with respect to latitude.     

The Western Crete geodetic infrastructure: Long-range power-law correlations in GPS time series using Detrended Fluctuation Analysis

The Global Positioning System makes it possible, nowadays, to measure crustal displacements with unprecedented accuracy. These measurements can improve our understanding of the spatio-temporal evolution of motion along tectonic plate boundaries, as well as deepen our comprehension for the nature of earthquake fault behavior and earthquake cycle. The Hellenic subduction zone and the earthquake-prone Crete, with large crustal motions of 3–4 cm/yr, may provide such a natural laboratory for this type of investigation. In this work, we examine the statistical structure and behavior of time series, as produced by permanent GPS sites, established on the islands of Crete and Gavdos.     

低成本IMU／GPS组合导航系统研究

ＧＰＳ／ＩＮＳ组合导航系统已在一定领域得到应用，而ＩＮＳ昂贵的价格限制了它的广泛应用，本文采用低成本惯性测量组件（ＩＭＵ）设计了低成本ＩＭＵ／ＧＰＳ组合系统的硬件和相应的软件，进行了静态实验和数据处理，系统的俯仰角和横滚角误差均小于０．２°，实验结果表明，低成本组合系统的性能较好，而其性能价格比更高。     

A Self-organizing Bearings-only Target Tracking Algorithm in Wireless Sensor Network

In the bearings-only target tracking, wireless sensor network (WSN) collects observations of the target direction at various nodes and uses an adaptive filter to combine them for target tracking. An efficient network management is necessary to gain an optimal tradeoff between locating accuracy and energy consumption. This article proposes a self-organizing target tracking algorithm to select the most beneficial subset of nodes to track the target at every snapshot. Compared with traditional methods, this scheme avoids the need for keeping global position information of the network as in greedy selection. Each node judges its future usefulness depending on the knowledge of its own position and using simple mathematics computation. Simulations indicate that this scheme has locating accuracy comparable to the global greedy algorithm. Also, it has good robustness against node failure and autonomous adaptability to the change of the network scale. Furthermore, this algorithm consumes limited energy because only a portion of nodes partakes in the selection at every snapshot.     

INVESTIGATION OF TIGHTLY COUPLED SINS/GPS INTEGRATION MIDCOURSE GUIDANCE FOR AIR-TO-AIR MISSILES

ＩＮＶＥＳＴＩＧＡＴＩＯＮＯＦＴＩＧＨＴＬＹＣＯＵＰＬＥＤＳＩＮＳ／ＧＰＳＩＮＴＥＧＲＡＴＩＯＮＭＩＤＣＯＵＲＳＥＧＵＩＤＡＮＣＥＦＯＲＡＩＲ┐ＴＯ┐ＡＩＲＭＩＳＳＩＬＥＳＦｕＬｉ（富立），ＦａｎＹａｏｚｕ（范耀祖），ＮｉｎｇＷｅｎｒｕ（宁文如）（Ｆ...     

Real-time coseismic wave retrieving by integrated Kalman filter with observations of GPS,Glonass and strong-motion sensor

A method of real-time coseismic wave retrieving was proposed based on the tight integration of GPS, Glonass and strong-motion sensor observations, the validation and precision analysis have been made by an experimental data. The series of results have been shown that: by the integrated Kalman filter and multi-sensors, the coseismic waves can be optimally recovered by complement the advantages of each other, especially when the observation conditions are very bad. In additional, the results are not significantly effected by different receiver clock error processes for the integration solution.     

基于神经网络的飞行科目模板样本集建立方法

为建立某一飞行科目的模板样本集,提出一套基于神经网络和卡尔曼滤波的数据处理方法。任选一次试飞样本,建立Kohonen自组织神经网络进行参数降维、聚类分析、特征提取等,使样本量缩减90%以上,得到该科目的模板样本集。用处理后的样本训练BP神经网络,对其他未经处理的试飞样本进行载荷预测,误差均在3%之内,说明处理后的样本能代表该科目的数据特点,即为模板样本集。方法可以为飞机载荷监控数据库的完善工作服务。     

变截面悬臂梁结构动载荷辨识方法

在航空航天领域，作用在结构上动载荷的确定对结构健康监测是非常必要和重要的。为此，本文以类似机翼结构的变截面悬臂梁结构为研究对象，提出了一种基于光纤光栅传感器与卡尔曼滤波器的动载荷识别方法。首先，根据变截面梁单元形式，推导出变截面梁的质量矩阵与刚度矩阵，建立动力学运动方程。然后，以光纤光栅传感器测得的应变信息作为观测信号，通过卡尔曼滤波器生成的增益矩阵、新息序列矩阵以及协方差矩阵，得到灵敏度矩阵和估计力的增益矩阵。在此基础上，利用广义回归模型及其最小二乘算法，估算出动载荷大小、判断出动载荷激励位置。借助数值仿真与实验手段，分别验证了该方法对于单点正弦激励、方波激励、锯齿波激励以及多点同时激励等工况下的动载荷识别效果。结果表明，本文所提算法具有较好的动载荷识别效果和噪声抑制能力，能够为未来风洞试验和真实飞行试验环境中诸如大展弦比机翼表面气动压力等载荷实时辨识、气动外形自适应控制以及结构健康监测提供技术支撑。