Relay selection based on MAP estimation for cooperative communication with outdated channel state information

In this paper, we consider an amplify-and-forward (AF) cooperative communication system when the channel state information (CSI) used in relay selection differs from that during data transmission, i.e., the CSI used in relay selection is outdated. The selected relay may not be actually the best for data transmission and the outage performance of the cooperative system will deteriorate. To improve its performance, we propose a relay selection strategy based on maximum a posteriori (MAP) estimation, where relay is selected based on predicted signal-to-noise ratio (SNR). To reduce the computation complexity, we approximate the a posteriori probability density of SNR and obtain a closed-form predicted SNR, and a relay selection strategy based on the approximate MAP estimation (RS-AMAP) is proposed. The simulation results show that this approximation leads to trivial performance loss from the perspective of outage probability. Compared with relay selection strategies given in the literature, the outage probability is reduced largely through RS-AMAP for medium-to-large transmitting powers and medium-to-high channel correlation coefficients.     

月球返回再入着陆场位置选择限定因素分析

月球返回再入着陆场不仅影响月-地返回转移和返回再入飞行,同时也影响整个月球飞行任务的规划和设计.文章首先分析了航天器与地-月间的相对位置关系;结合月-地返回转移及返回再入轨道特性,理清了月球、地球着陆场和航天器三者在惯性空间内相对位置的内在约束关系;最后分析并通过仿真研究,明确了制约航天器返回再入着陆场位置选择的限定因...     

基于突变理论的机场选址评价研究

针对机场选址评价中大多采用模糊评价方法需要确定指标体系权重,使得评价结果带有较强主观性的问题,将突变理论应用到民用机场选址的合理性及可持续发展评价中来。在对影响机场选址因素进行分析的基础上进行各因素的分解排序,将底层评价指标进行标准量化后,运用突变理论的归一化公式进行计算,得到机场选址合理性及可持续性的突变评价值。针对突变评价值偏高的缺点,给出转换公式,运用Matlab对评价值进行转换计算。实例计算验证了该方法的可行性、有效性和实用性。     

基于飞行品质的飞机控制增稳系统参数估计

提出了一种控制增稳系统参数的设计方法,即利用低阶等效系统和飞行品质边界,通过搜索算法确定满足对应飞行品质的参数集合,再利用多种飞行品质确定的参数集合的交集和数据的插值算法,确定控制增稳系统的控制律参数。通过纵向增稳系统设计仿真表明,所提方法简化了传统设计方法通过性能指标反复选择参数和验证系统飞行品质的过程,为控制增稳系统的设计提供一种简单有效的方法。     

A Fast Global Node Selection Algorithm for Bearings-only Target Localization

In the target tracking, the nodes aggregate their observations of the directions of arrival of the target. The network then uses an extended Kalman filter （EKF） to combine the measurements from multiple snapshots to track the target. In order to rapidly select the best subset of nodes to localize the target with the minimum mean square position error and low power consumption, this paper proposes a simple algorithm, which uses the location information of the target and the network. The lower botmd of localization error is utilized according to the distances between the target and the selected active nodes. Furthermore, the direction likelihoods of the active nodes is predicted by way of the node/target bearing distributing relationships.     

基于光谱信息散度的光谱解混算法

光谱解混是高光谱遥感定量化的关键,提出了一种基于光谱信息散度和光谱混合分析的光谱解混改进算法(SID-SMA,Spectral Information Divergence-Spectral Mixed Analysis).以光谱信息散度判定最优端元子集,端元选择时采用端元的初选和二次选择来提高端元选择的精度,得到较小的丰度估计误差.通过光谱库模拟数据的结果可以看出,SID-SMA的端元选择精度和丰度估计精度要优于其他算法,当信噪比为100∶ 1时,算法端元选择正确率达到了99.8%,29个端元的丰度估计总误差小于0.1,并且算法的速度较快.     

置信检验理论

本文提出了母体特征值置信分布的概念,建立了置信检验理论,该理论包括强检验、弱检验和弱强检验三种检验方法,分别满足了不同工程检验的需求。与假设检验相比,置信检验依据的是"大概率原则",而显著性假设检验依据的是"小概率原则",因此,置信检验能够以高概率确认工程中所关心的"条件"是否成立(如产品合格与否),能够对产品质量进行高精度的检验和控制,克服了显著性假设检验仅仅是一种拒绝检验,当接受一个假设时也只是意味着不拒绝该假设的缺点。置信检验不但能够大大提高工程检验精度,而且更加便于工程应用。      

基于黎曼距离的编队飞行卫星姿态控制系统故障检测数据优选方法

为突破星上资源的严苛约束、提升编队飞行卫星故障检测能力,提出了一种适用于编队飞行卫星姿态控制系统的故障检测数据优选方法,通过利用黎曼距离衡量无故障情况和故障情况下系统测量信息之间的差距,构建了编队飞行卫星姿态控制系统故障检测能力的评价指标。在此基础上,提出了故障检测数据优选方法,为系统输出信息结构优化提供了理论依据。仿真表明,所提出的方法能够在星上资源受限的情况下有效提升编队飞行卫星姿态控制系统的故障检测能力。     

基于相关与小波变换相结合的弱信号检测

针对强噪声背景中的弱信号检测问题,在传统的相关检测方法的基础上,利用小波良好的去噪性能,提出了相关检测与小波变换相结合的弱信号检测方法。仿真结果表明,该方法优于传统的相关检测方法,无须知道有用信号的先验知识和同步信号便可以有效的检测周期性弱信号,并获得更高的输出信噪比。     

Satellite selection methods for multi-constellation advanced RAIM

The increased number of potential threat modes under multi-constellation advanced receiver autonomy integrity monitoring (ARAIM) requires an increase in the number of subsets and a correspondingly high computational load. A new satellite selection method based on integrity support message (ISM) parameters is proposed and compared with GDOP-based selection. The performance was tested on five days of data measurements from 21 multi-global navigation satellite system experiment (MGEX) stations distributed around the world, as well as simulation using the broadcast ephemeris. The results show that the proposed ISM-based satellite selection method is highly compatible with the baseline ARAIM. This method could reduce the computational times by about 60–70% quickly, with minimising vertical protection level (VPL) loss, which was consistently within 1 m, even a reduced VPL value in some epochs, and resulting in an improved availability. The simulation results were similar to the MGEX data. It appears that the application of ISM-based satellite selection can effectively reduce computational burden with a minimal impact on availability.