| 1. | It is to expound in this paper the application of the theory and method of regionalized variables and kriging to analyze water quality parameters of lake and the spatial optimal estimation on the water quality parameters of lake is also approached
本文著重阐述了区域化变量理论和克立格法在湖泊水质参数分析研究中的应用，并对湖泊水质参数空间优化估算的方法进行了探讨。 |
| 2. | The basic idea behind the proposed method is that the identification is converted to an on - line optimization of nonlinear functions , and then the hybrid particle swarm optimization algorithm is used to find the optimal estimation of the time - varying parameters
方法的实质是将时变动态系统的辨识问题转化为非线性函数的在线优化问题，然后利用混合粒子群优化算法获得时变参数的最优估计。 |
| 3. | The problems of nonlinear system identification are cast as optimization problems in parameter space , and then the particle swarm optimization algorithm is used to search the parameter space parallel and efficiently in order to find the optimal estimation of the system parameters
Hammersteln两类非线性系统模型的辨识。方法的基本思想是将非线性系统的辨识问题转化为非线性函数的优化问题，然后利用粒子群优化获得系统参数的最优估计。 ” |
| 4. | The multiscale model is not only capturing the several important ways in which a data analysis or signal processing problem can have multiscale characteristic , but also leading to an efficient and highly parallelizable algorithm for optimal estimation of stochastic processes
此模型的的建立不仅是获取具有多尺度特征的数据分析或信号处理问题的一种重要方式，同时，利用它还可以为最优估计随机过程的状态变量诱导出高度有效、并行迭代算法。 |
| 5. | This paper presents and probes into several filtering schemes for the deep space explores attitude measurement system composed of star sensors and gyros . under the stellar - inertial modes , two attitude determination algorithms are designed which use the extended kalman filter . one of the algorithms is to linearized the state equation based on the optimal estimation
本文中以星敏感器和光纤陀螺为基本配置组成的深空探测器姿态测量系统为对象,针对星敏感器与光纤陀螺联合定姿模式和基于星敏感器的定姿模式,对深空探测器的三轴姿态滤波技术方案进行了设计与研究。 |
| 6. | Using the relation between spectrum width and entropy and the different contributions devoted by each angle motion parameter to the echo spectrum width of the difference beam , the global optimal estimation is obtained through searching the angle motion parameters of zero and higher order via max - entropy and min - entropy respectively
该方法利用了各阶运动参数对差波束回波谱宽度的不同贡献以及熵与谱宽度的关系，通过最大熵和最小熵分别对0阶和1阶以上角运动参数进行搜索，得到全局最优估计。 |
| 7. | The deducing of the algorithms has very practical value in state estimation for systems under the complex environments . in the instance of complicated multi - channel system with multiplicative noise , the dissertation discusses the optimal estimation of state filtering and smoothing and the stochastic input signal with the technique of innovation and projection theorem of hilbert space . the main study of the dissertation is introduced as follows : 1 according to the practical requirement of complicated multi - channel system with multiplicative noise , the dissertation broadens rajasekaran filtering algorithm
本文针对复杂多通道带乘性噪声系统，应用新息的方法和hilbert空间的投影定理，对状态最优滤波和平滑估计、随机输入信号的最优估计等理论与应用方面的问题，进行了进一步的探讨，着重完成了以下工作：第一，根据复杂多通道乘性噪声系统问题的实际需要，推广了rajasekaran滤波算法。 |
| 8. | Some modeling of maneuvering target tracking is introduced in this thesis , and current statistical model is used as a basic target model . the arithmetic of kalman filtering based on the model is listed . on the foundation of state vector optimal estimation error matrix theory , the arithmetic of optimal estimation is presented , and target tracking simulation is taken
本文首先介绍了几种常用的机动目标跟踪模型,并把现在较为常用的“当前”统计模型作为本文研究的目标模型,并列出了基于该模型下的卡尔曼滤波算法;此外,在状态矢量最优加权估计理论的基础上,引入了目标状态最优估计误差协方差矩阵,提出了一种最优加权估计算法,并进行了目标跟踪仿真。 |
| 9. | Thus the number of targets in the same approximate cluster is not so large , which reduce the computational cost for the plot - track association . to compute the position estimation amsjpda takes into consideration all the measurements in the validation gate . added all the measurements multiplied by their power , which is taken as the coefficient in computation , the nea r optimal estimation can be achieved
基于近似聚，利用完全联合概率关联算法中的关联计算方法，考虑目标相关门内所有的回波，根据相关程度不同赋给每个回波不同的权值，通过加权计算得到近似最优的目标状态估计。 |
