This paper introduces some technologies of adaptive equalization used in the HF communication , and then provides the comparison of the LS Lattice algorithm and the Square - Root - Kalman algorithm.
对短波通信中的自适应信道均衡技术进行了讨论,比较说明了LS格型算法和平方根卡尔曼算法,同时给出了平方根卡尔曼均衡器的实际应用情况。
The calculation precision of Fourier algorithm,recursive least square algorithm and Kalman algorithm applied in the parameter identification of transformer winding was analyzed.
对辨识结果的误差分析表明,用卡尔曼算法进行参数辨识不仅计算精度较高而且计算结果比较稳定,卡尔曼相量测量算法在变压器绕组参数辨识中的应用为准确检测变压器绕组故障提供了基础依据。
Research on spatio-temporal topologies based on Cartesian operations;
基于笛卡尔运算的时空拓扑关系研究
Therefore,we transform the rotational velocity of propeller to the speed of AUV,use the method of data fuse and presents a Kalman filter algorithm of AUV/SINS integrated navigation to reduce navigation error.
针对由于复杂海洋环境导致的DVL失效,使整个导航精度急剧下降的情况,该文将螺旋桨转速变换成AUV航速,利用航速惯导组合系统信息融合方法,提出了一种通过航速惯导组合导航的卡尔曼滤波算法,可以减小导航误差。
Kalman filter algorithms for bearing-only target tracking are discussed.
本文介绍了纯方位目标运动分析的卡尔曼滤波算法,利用Lyapunov稳定性理论,通过计算算法的稳定性度量值,对三种卡尔曼滤波算法的稳定性进行了分析讨论,并通过仿真计算对各方法的估计性能进行了比较。
Adaptive α-β filter algorithm was introduced,and then it was compared to LSR filter algorithm and Kalman filter algorithm,the mean square deviation of distance,position,speed and direction of these algorithms on the flight line was analyzed to discuss the specific use of the three filters in straight-line flight and about-sh.
介绍了一种改进的α-β滤波算法,然后将它和最小二乘滤波算法、卡尔曼滤波算法进行比较,对三种算法跟踪空中目标的直线飞行、改变航向的直线飞行两种情况的距离、方位、速度和航向等参数的均方差加以分析,证明了改进的α-β滤波算法在直线飞行模型下有着很好的综合效果,且计算量小,更有利于系统建模与仿真。
Application of improved Kalman filter algorithm for the signal processing of electronic nose
改进卡尔曼算法在电子鼻信号处理中的应用
Study on Kalman Filtering in Real Time OD Estimation;
实时OD估计中卡尔曼滤波算法研究
Speech Enhacement Based on Kalman Filtering
基于卡尔曼滤波的语音增强算法研究
Weighted Minimum Mean Square Kalman Filter
基于加权最小二乘的卡尔曼滤波算法
Option Pricing Based on the Mixture Kalman Particle Filter
基于混合卡尔曼粒子滤波算法的期权定价方法
The Application of Adaptable Kalman Filter Algorithm to Vehicle Detecting Test
适应性卡尔曼滤波算法在汽车检测中的应用
EKF Based Acoustic Sensor Tracking Algorithm
基于扩展卡尔曼滤波的声传感器跟踪算法
Study of an Kalm an Filter Algorithm for System s with Unknow n Tim e-Varying Noise
带未知时变噪声系统的卡尔曼滤波算法研究
Asynchronous Motor Parameter Identification Based on EKF;
基于扩展卡尔曼滤波算法的异步电机参数辨识
Study on Kalman Filtering in GPS/DR Integrated Navigation for Vehicle;
车载GPS/DR组合导航卡尔曼滤波算法研究
A Neural Network Learning Algorithm Based on the Extended Kalman Filter Applied to Stock Prediction;
扩展卡尔曼滤波神经网络算法在股市的应用
Research of Kalman Filtering Algorithm in Vehicle Navigation System;
车辆定位导航中的卡尔曼滤波算法研究
State Estimation of Power System Based on Kalman Filtering Method under Colored Noise
有色噪声下卡尔曼滤波的状态估计算法研究
Research of Comparative Analysis of Extended kalman Filter and Particle Filter
扩展卡尔曼滤波和粒子滤波算法性能比较研究
Moving objects tracking algorithm based on Kalman filter
基于卡尔曼滤波器的运动目标跟踪算法
Parameters Estimation Algorithm by Kalman Filtering Based on GPS Measurement for Projectile Trajectory
基于GPS弹道测量的卡尔曼滤波参数估计算法
State Estimation with Colored Noise Based on Burg Algorithm and Kalman Filter
基于Burg算法与卡尔曼滤波的有色噪声状态估计
Learning Algorithm Based on Extended Kalman Filter for Functional Link Artificial Neural Networks
基于扩展卡尔曼滤波的FLANN网络学习算法
