一种基于子空间的OFDM系统半盲信道估计

提出了一种可用于色噪声背景的基于子空间的改进半盲信道估计算法。根据正交频分复用（OFDM）系统模型,利用所获色噪声背景的噪声向量与信道冲激响应矩阵的正交性估计信道冲激响应,给出了算法的步骤。仿真结果表明：算法有较好的收敛性和稳定性。     

高分辨率多径时延测量算法

提出一种基于最小二乘准则的高分辨率多径信号时延测量方法。对参考信号作三阶样条插值获得每条多径信号最小二乘意义的最优估计,用每条多径信号的测量值重构接收信号,通过反复迭代使重构信号是接收信号最小二乘意义的最优估计,实现多径信号的时延测量。仿真结果表明：新算法在低信噪比、窄带信号条件下仍能获得较高的时延测量精度,性能优于MUSIC类时差测量算法。     

基于全相位频谱插值的欠采样频率估计

提出利用两个独立欠采样通道输出信号的互谱函数实现对欠采样信号的无模糊频率估计,为了提高测频精度,需要对信号真实频率与最大频域输出幅值对应量化频率的偏差进行较高精度的估算,采用全相位FFT与传统FFT联合校正频率偏差的方法,提出了全相位Rife综合算法,根据全相位FFT输出的最大谱线和次大谱线的比值决定采用全相位Rife算法或修正的细化Rife算法,仿真结果验证了该方法的有效性及高精度特性。     

卫星多径信道下SOFDM插值估计算法的对比分析

在卫星多径衰落信道环境中传输正交频分复用信号时,工程上可以考虑采用以插值运算为核心的信道估计方法对接收信号进行信道估计。文章首先给出并研究了线性插值、三次样条插值和拉格朗日函数插值这三种插值估计算法的基本原理,然后对各种算法的计算复杂度、插值估计的均方误差以及系统的误比特率这三项性能指标进行了对比分析,最后通过综合评估总结出了＂在慢多径衰落信道环境下宜采用线性插值估计算法＂和＂在快多径衰落信道环境下宜采用三次样条插值估计算法或拉格朗日函数插值估计算法＂的结论。     

一种稀疏阵列下的二维DOA估计方法

研究了稀疏阵列下二维波达方向（DOA）的估计问题,提出一种基于不动点迭代的空间谱估计（FPC-MUSIC）算法。首先建立基于矩阵填充的DOA估计信号模型,并验证该信号模型满足零空间性质（NSP）,其次通过不动点迭代算法将稀疏阵列信号恢复为完整信号,最后利用恢复信号估计二维DOA。该算法可在稀疏阵列下大幅度降低谱估计平均副瓣,在大幅度降低阵元数的同时具有较高的估计精度。计算机仿真表明：FPC-MUSIC算法可在稀疏阵列下准确估计二维DOA,验证了该算法的有效性和优越性。     

非合作无源探测中的假设检验弱目标检测方法

在非合作无源探测系统中,弱目标回波不仅会受到强直达波、强多径的干扰,还会受到强目标的掩盖干扰,因此很难对其进行有效检测。为了解决这一问题,提出了一种基于多择复合假设检验的弱目标检测方法。首先将接收信号投影到多径干扰的正交补子空间内,以消除强直达波和强多径干扰,然后将目标检测看作一个多择复合假设检验问题,建立了与之相应的基本框架模型,利用最大后验估计方法对目标时延、多普勒频移及信号幅度等参数进行估计,构造检验统计量,设置相应的门限,根据假设检验结果,逐个消除强目标干扰从而达到检测弱目标的目的。仿真结果表明,本方法可以有效抑制强直达波、强多径及强目标干扰,有效检测出弱目标,且虚警率低。     

Weibull分布参数估计值对细节疲劳额定强度的影响

将新材料、新工艺应用于民机结构设计时,细节疲劳额定强度（DFR）法仍是重要的评估方法。根据新型铝合金疲劳试验数据,全面分析了Weibull分布形状参数对DFR计算参数的影响;分析标准S-N曲线斜度参数对DFR的影响时,应考虑可靠性寿命的变化,采用低可靠度寿命计算曲线斜度参数可降低Weibull分布形状参数的影响;比较了采用不同分布参数估计值与传统上采用波音公司给定值进行DFR计算的差异。结果表明,对于通过符合性检验的试验数据,使用不同Weibull分布的参数估计值计算得到的DFR都大于按传统方法（用波音公司给定值）的计算结果,其中,三参数Weibull分布计算的DFR最大,至少增加10%以上。     

基于可用度确定MSI维修间隔期的研究

可用度综合反映了系统可靠性和维修性水平,本文按最大可用度的原则确定民用飞机系统重要维修项的维修间隔期,并进一步讨论了该方法的适用范围,提供了可用于工程实践的方法。     

Adaptive path planning for unmanned aerial vehicles based on bi-level programming and variable planning time interval

This paper presents an adaptive path planner for unmanned aerial vehicles (UAVs) to adapt a real-time path search procedure to variations and fluctuations of UAVs’ relevant performances, with respect to sensory capability, maneuverability, and flight velocity limit. On the basis of a novel adaptability-involved problem statement, bi-level programming (BLP) and variable planning step techniques are introduced to model the necessary path planning components and then an adaptive path planner is developed for the purpose of adaptation and optimization. Additionally, both probabilistic-risk-based obstacle avoidance and performance limits are described as path search constraints to guarantee path safety and navigability. A discrete-search-based path planning solution, embedded with four optimization strategies, is especially designed for the planner to efficiently generate optimal flight paths in complex operational spaces, within which different surface-to-air missiles (SAMs) are deployed. Simulation results in challenging and stochastic scenarios firstly demonstrate the effectiveness and efficiency of the proposed planner, and then verify its great adaptability and relative stability when planning optimal paths for a UAV with changing or fluctuating performances.     

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.