基于曲线拟合的卫星通信信号参数盲估计

针对非协作卫星通信环境,提出了一种卫星通信信号参数盲估计方法。它利用线性调制信号功率谱形状的对称性及其与成型滤波器的关系,基于曲线拟合的思想进行功率谱包络的提取,进而实现载波频率、带宽等参数的盲估计。仿真结果验证了该方法对MPSK、MQAM等常用卫星通信信号的有效性,且能适应较低的信噪比,具有计算量小、易于实现等优点。     

基于前后向协方差矩阵投影的信源数估计算法

针对均匀线阵的信源数估计问题,提出了一种基于前向-后向采样协方差矩阵正交投影的多目标信源数快速估计算法。该算法将经过酉变换后的前向-后向采样协方差矩阵的列矢量做Gram-Schmidt (GS)正交化,并将正交化后矢量的模值与一个自适应判决门限做比较来估计信源个数。该判决门限根据阵列采样协方差矩阵估计误差的渐近分布特性推导得到。计算机仿真证明了该算法的正确性和有效性。     

Design and comparison of minimal symmetric model-subset for maneuvering target tracking

Model-set is utilized in state estimation for maneuvering target tracking.Two minimal symmetric model-subsets are designed and investigated by moment matching method,which include hypersphere-symmetric model-subset and axis-symmetric model-subset,if system mode is a random variable and obeys certain probability distribution.They can be used as the fundamental model-subset for multiple models estimation with fixed structure,variable structure and moving bank.The model-groups constructed by above designed subsets are given,which give the practical guidance for use of model-set in multiple models approach with a variable structure.Simulation results show that the performances of two minimal model-set significantly outperform the corresponding model-sets with fixed spacing.     

Person-independent expression recognition based on person-similarity weighted expression feature

A new method to extract person-independent expression feature based on higher-order singular value decomposition (HOSVD) is proposed for facial expression recognition. Based on the assumption that similar persons have similar facial expression appearance and shape, the person-similarity weighted expression feature is proposed to estimate the expression feature of test persons. As a result, the estimated expression feature can reduce the influence of individuals caused by insufficient training data, and henc...     

New method for passive radar seeker to antagonize non-coherent radar decoy

Using super resolution direction of arrival (DOA) estimation algorithm to reduce the resolution angle is an effective method for passive radar seeker (PRS) to antagonize non-coherent radar decoy. Considering the power and correlation property between radar and non-coherent decoy, an improved subspace DOA estimation method based on traditional subspace algorithm is proposed. Because this new method uses the invariance property of noise subspace, compared with traditional MUSIC algorithm, it shows not only better resolution in condition of closely spaced sources, but also superior performance in case of different power or partially correlated sources. Using this new method, PRS can distinguish radar and non-coherent decoy with good performance. Both the simulation result and the experimental data confirm the performance of the method.     

在ARFIMA模型中使用小波的另一种极大似然估计

用小波变换方法提出ARFIMA(p,d,q)模型中分形差分参数d的另一种极大似然估计(MLE).这种极大似然估计被证明是相合的和渐近正态的.仿真结果显示这种极大似然估计偏差较小,并且与Tse的估计值相比较有更小的根均方误差(RMSE),该方法估计长记忆时间序列是有效的.     

Research on the reconstruction of fast and accurate AFM probe model

The AFM image will be distorted due to the tip-broadening effect. It may be mathematically represented as the effect of the tip’s convolution on the real image. As a result, the true geometry of the sample surface can not be obtained. If the tip shape could be known accurately, such distortion can be eliminated with the adoption of disconvolution operation. It is of practical significance in the accurate reconstruction of the AFM image. Among the current tip modeling algorithms, the blind tip estimation algorithm based on mathematical morphology is widely applied. However, it takes much time and has difficulties in defining the optimal noise threshold. In view of the above problems, this paper proposes a new blind tip evaluation method to accelerate the speed of blind tip modeling calculation and realize the accurate reconstruction of the AFM image. The simulation and the experimental results demonstrate the feasibility and effectiveness of the above research method.     

广义极值分布参数估计方法的对比分析

简介了广义极值分布的3种参数估计方法:极大似然(ML)、线性矩(LM)和间隔最大积(MPS)方法的特点和计算方法,采用历年马口月最大径流量和广州日最大降水量作为广义极值分布不同参数估计方法的实证分析例子。分析结果表明,两实例各自3种参数估计方法得到的3个参数值较为接近,各种拟合优度检验结果表明两实例均服从广义极值分布,但MPS参数估计推算的设计值与观测值拟合更好。     

基于MAS的配电网三相状态估计

为了探索建立配电快速仿真与模拟(DFSM)并行分布式计算环境的有效方法,将Agent和多Agent系统(MAS)的理论和方法应用于DFSM的研究;并以基于支路电流的配电网三相状态估计(DSE)为具体的研究对象,提出了Agent的八元素实现结构描述框架;详细阐述了配电网的分割方法和有偏序关系的配电子网状态估计迭代计算算法;设计并实现了基于MAS的DSE并行分布式计算环境(masDSE).算例分析表明:在实验系统中,masDSE可以使计算效率至少提高50%.     

基于改进进化策略的线性参数估计方法

针对线性回归模型,在最小二乘意义下,提出一种基于改进进化策略的线性参数估计方法并用仿真实例检验其有效性.该方法是将进化策略与最小二乘法相结合并且对算法中的变异算子作了相应改进.算法参数估计精度较高,收敛速度快,自适应性强,能有效处理线性回归参数估计问题.