A direct position determination method with combined TDOA and FDOA based on particle filter

The localization of a stationary transmitter using moving receivers is considered. The original Direct Position Determination (DPD) methods, with combined Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA), do not perform well under low Signal-to-Noise Ratio (SNR), and worse still, the computation cost is difficult to accept when the computational capabilities are limited. To get better positioning performance, we present a new DPD algorithm that proves to be more computationally efficient and more precise for weak signals than the conventional approach. The algorithm partitions the signal received with the same receiver into multiple non-overlapping short-time signal segments, and then uses the TDOA, the FDOA and the coherency among the short-time signals to locate the target. The fast maximum likelihood estimation, one iterative method based on particle filter, is designed to solve the problem of high computation load. A secondary but important result is a derivation of closed-form expressions of the Cramer-Rao Lower Bound (CRLB). The simulation results show that the algorithm proposed in this paper outperforms the traditional DPD algorithms with more accurate results and higher computational efficiency, and especially at low SNR, it is more close to the CRLB.     

去中心化时差频差直接定位方法

针对原始利用时差频差的直接定位(DPD)方法存在数据传输量和计算量大的瓶颈,提出了两种去中心化直接定位方法。第1种方法采用去中心化配对方案,只将各观测站截获信号在站间进行一次传输,将数据传输和计算分散到各观测站间并行计算互模糊函数(CAF),构造仅满足满秩条件的互模糊矩阵(CAM)。第2种方法根据推导的任意互模糊函数间关系公式,采用归约方式去中心化的在各观测站并行计算余下互模糊函数,补全互模糊矩阵。两种方法都降低了直接定位数据传输量,提高了计算效率。性能分析和仿真实验表明本文两种方法精度性能优于两步定位方法,在低信噪比时两种方法都可达到比较理想的精度性能,在高信噪比时第2种方法与原始直接定位方法的精度性能相当。     

Relative position and attitude estimation of spacecrafts based on dual quaternion for rendezvous and docking

The capacity to acquire the relative position and attitude information between the chaser and the target satellites in real time is one of the necessary prerequisites for the successful implementation of autonomous rendezvous and docking. This paper addresses a vision based relative position and attitude estimation algorithm for the final phase of spacecraft rendezvous and docking. By assuming that the images of feature points on the target satellite lie within the convex regions, the estimation of the relative position and attitude is converted into solving a convex optimization problem in which the dual quaternion method is employed to represent the rotational and translational transformation between the chaser body frame and the target body frame. Due to the point-to-region correspondence instead of the point-to-point correspondence is used, the proposed estimation algorithm shows good performance in robustness which is verified through computer simulations.     

INTERNET网检工具逻辑算符及检索表达式优化

对ＩＮＴＥＲＮＥＴ网检工具逻辑算符进行分析和比较。在此基础上，提出制定和优化检索表达式的方法。     

共信道干扰环境下星基ADS-B系统监视性能

星基广播式自动相关监视系统（星基ADS-B）是实现广域范围内航空器监视的主要技术手段。为揭示星基ADS-B系统共信道干扰对系统监视性能的影响，提出了星基ADS-B系统监视容量的计算方法。首先给出了星基ADS-B系统模型，随后理论分析给出消息正确接收概率、位置消息更新间隔及位置报告更新间隔的计算公式，以此为基础给出了星基ADS-B系统监视容量的计算公式，最后基于SNS软件构建了星基ADS-B仿真系统，仿真验证了理论结果的正确性。研究表明：星基ADS-B系统的监视容量由ADS-B应用子系统所要求的航空器位置报告更新间隔、航空器-卫星链路的误码率、星-地面站链路的误码率及卫星数目联合确定。     

梳状电容式微加速度计温度性能优化

零偏温度漂移是影响高精度MEMS加速度计整体性能的关键指标，敏感结构机械零位的温度漂移和电路零位(电容检测电路）的温度漂移是加速度计零偏温度漂移的直接原因。分析了影响加速度计零偏温度系数的3种主要影响因素，提出了某型加速度计伺服电路温度性能测试筛选方法，有效减小了电路零位的温度漂移。采用了全硅表头，同时对表头封装粘接方式进行优化，大幅减小了表头机械零位的温度漂移。经过这些优化措施后，加速度计的温度性能得到了明显改善，零偏温度系数由1.3mg/℃减小到0.5mg/℃，零偏的常温稳定性(1h）达到0.108mg，重复性(6次）达到0.141mg。     

基于共轭次梯度算法的磁传感器安装误差校正

随着头盔显示技术的发展,对头盔电磁定位的精度要求越来越高,在现有的加工工艺和机上安装条件下,要提高定位精度,必须对传感器安装误差进行校正。通过坐标转换原理对安装误差进行建模,在此基础上利用最小二乘原则选取目标函数,将校正过程抽象为最优化问题求解。提出一种基于共轭次梯度算法的最优化问题求解方法,实现了传感器安装误差校正。利用MATLAB上对校正算法进行仿真,仿真结果表明,共轭次梯度算法简洁易用、校正精度高、收敛速度快,能够明显提高磁场测量精度。     

以作战结果向量分析飞机1对1空战效能

给出了作战歼击机作战结果向量模型，并以此作为衡量歼击机作虎效能的指标。通过战例分析，指出了抢先发射对提高飞机的作战效能起着重要的作用。并根据现代歼击机及其装备的飞行战术，技术特性，分析讨论了影响抢先发射以及作战结果向量的可能因素。给了的模型，可为新一代战斗机设计提供理论依据。     

回转体类零件四自由度姿态调整解耦问题的研究

为减小测量误差，对高准确度回转体类零件的形位误差测量必须进行姿态调整，即四自由度α－β（倾角）、ｘ－ｙ（偏心）调整，当各调整功能之间存在“耦合”影响时，使得调整费时甚至调不出预定的定位准确度。为此，提出解决调整功能之间耦合问题的方法和模型，较系统地解决了这一问题。