Relay selection based on MAP estimation for cooperative communication with outdated channel state information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(CSI) used in relay selection differs from that during data transmission, i.e., the CSI used in relay selection is outdated.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.     

Autonomous navigation to quasi-periodic orbits near translunar libration points

Libration-point missions have been very useful and successful. Due to the unstable nat-ures of most of these orbits, the long-time stationkeeping demands frequent maneuvers and precise orbit determinat...     

Particle flters for probability hypothesis density flter with the presence of unknown measurement noise covariance

In Bayesian multi-target fltering,knowledge of measurement noise variance is very important.Signifcant mismatches in noise parameters will result in biased estimates.In this paper,a new particle flter for a probability hypothesis density（PHD）flter handling unknown measurement noise variances is proposed.The approach is based on marginalizing the unknown parameters out of the posterior distribution by using variational Bayesian（VB）methods.Moreover,the sequential Monte Carlo method is used to approximate the posterior intensity considering non-linear and non-Gaussian conditions.Unlike other particle flters for this challenging class of PHD flters,the proposed method can adaptively learn the unknown and time-varying noise variances while fltering.Simulation results show that the proposed method improves estimation accuracy in terms of both the number of targets and their states.     

基于相关向量机的MEMS加速度计零偏温漂补偿

应用相关向量机（RVM,Relevance Vector Machine）回归预测方法建立了基于RVM的零偏温漂预测补偿模型,利用温度值和温升速率作为输入可预测不同温变过程下的加速度计零偏温漂,探讨了不同训练样本数量、核函数类型和不同的核函数宽度对预测补偿效果的影响,最后应用环境温度试验数据对模型进行检验和验证.结果表明：基于RVM的零偏温漂预测补偿模型能够有效的预测微机械（MEMS,Micro Electro Mechanical Systems）加速度计零偏温漂,模型预测的均方根误差小于1%,补偿后滞环误差最大由0.06g缩减为0.015g.     

GPS转发式欺骗干扰原理与仿真研究

研究GPS转发式欺骗干扰的基本原理和理论模型,分析转发式欺骗干扰系统的实现结构,并通过仿真检测验证了干扰效果.仿真结果表明,对于无抗欺骗干扰措施的GPS C/A码接收机,转发式干扰机只需要很小的转发增益,即可达到干扰效果.     

从卫星照片看朝韩炮战:为何韩国炮兵打不准?

2010年11月23日,朝鲜与韩国在三八线附近西海岸争议海区发生了激烈炮战。朝鲜海岸炮兵对韩国占据的延坪岛进行了猛烈炮击。驻守延坪岛的韩军炮兵在13分钟后发动反击,在炮兵侦察校射雷达的引导下,韩军使用数门K-9式155毫米自行榴弹炮轰击了朝鲜军队的数个炮兵阵地。韩国军方消息说,朝鲜方面发射了170多发炮弹,韩国军方随即进行回击,韩国方面回击了80多发炮弹。     

基于过渡区的序列图像运动目标分割方法

序列图像运动目标检测技术是目标搜索与跟踪系统的一项核心技术.提出了一种基于过渡区的序列图像运动目标分割方法,该方法通过提取序列图像过渡区来进行目标分割,并与传统的阈值分割算法进行效果比较.实验结果表明,该方法能取得更好的序列图像运动目标分割效果.     

具有输入约束的飞机姿态L1自适应控制

针对具有模型不确定性、控制舵面故障以及非线性干扰的飞机俯仰姿态控制问题,基于L1自适应方法设计增广控制器。设计合适带宽的低通滤波器,以满足控制器快速自适应要求,保证系统输入输出信号的一致性能有界。考虑伺服控制实际存在的幅值约束,推导出所设计的自适应控制系统的稳定性条件及其性能界,即忽略幅值约束时,选择足够大的自适应增益,闭环系统性能能够任意接近参考系统;考虑幅值约束时,闭环系统的性能可以通过增大自适应增益得以改善,但是不能任意接近参考系统。仿真验证了所设计的飞机姿态控制系统的有效性,结果表明控制器对有界不确定性和干扰具有鲁棒性,同时满足输入约束要求。     

玻璃纤维表面处理技术研究进展

为了充分发挥玻璃纤维在玻璃纤维增强树脂基复合材料中的承载作用,需对其表面进行预处理,以便形成有效的界面粘结,可大大提高复合材料综合性能.本文阐述了玻璃纤维增强树脂基复合材料界面改性研究近况,并讨论了目前存在的主要问题及发展方向.     

基于CDMA蜂窝网的飞行器三维定位算法

针对中低空飞行器提出了一种将码分多址(CDMA)蜂窝网导频信号被动定位与惯性导航系统进行组合的导航定位方法。该定位方法是根据CDMA蜂窝网导频信号的到达时差（TDOA）进行两次加权最小二乘解算,并利用飞行器惯性组合的原始信息进行解模糊,从而实现中低空飞行器的三维实时定位。蒙特卡罗仿真证明：在高斯白噪声条件下,该算法运算速度快,精度高,其均方误差逼近克拉美罗下界（CRLB）,为组合导航实时性要求提供了理论参考。