推广卡尔曼滤波 meaning in English
ekf
Examples
- ( 2 ) a method of regarding the target speed constraints as additional measures and addsing it to measure equation is presented , the constraints intensity is decided by noise variance . it can improve the location precision of the modified gain extended kalman filter
2给出一种把运动目标(敌舰艇)的航速约束当作增加的测量值加入到测量方程的方法，约束的强度由约束条件的噪声方差确定，可提高修正增益推广卡尔曼滤波定位算法的定位精度。 - The major research works are divided into five sections , including warship bearings - only tracking maneuver research , warship bearings - only tracking research , multi - warships passive data association research , multi - warships passive location research and the engineering implementation of bearings - only passive location systems . the detailed research works are outlined as follows : ( 1 ) a method of evasion factor matrix is presented , which can add the possible patrol zone of targets ( enemy ' s warships ) according to intelligence , and the land and island information provided by electronic chart to the modified gain extended kalman filter , and modifies state equation . it can improve the location precision of the modified gain extended kalman filter
研究内容共分五个方面，分别是单舰纯方位无源定位机动研究、单舰纯方位无源定位跟踪研究、多舰无源数据关联研究、多舰纯方位无源定位研究以及舰艇纯方位无源定位系统的工程实现，主要完成了如下的工作： 1提出一种规避因子矩阵的方法，把根据情报获得的目标(敌舰艇)可能活动区域，以及电子海图提供的陆地岛礁信息加入修正增益推广卡尔曼滤波器中，对目标状态方程进行修正处理，可提高修正增益推广卡尔曼滤波定位算法的定位精度。 - For large errors introduced by nonlinear state - space model in passive locating and tracking problems , various suboptimal recursive filtering algorithms are aralyzed and summarized , such as the extended kalman filtering ( ekf ) , the modified gain extended kalman filtering ( mgekf ) , the second order filtering and the adaptive extended kalman filtering ( aekf )
摘要针对被动定位跟踪中状态空间模型非线性程度较高所引发的滤波精度偏低的问题，分析和总结了已有的包括推广卡尔曼滤波( ekf ) 、修正增益的推广卡曼滤波( mgekf ) 、二阶滤波、自适应推广卡尔受滤波( aekf )等各种次优递推滤波算法的特点。 - Based on extended kalman filter ( ekf ) algorithm , an traditional attitude determination scheme using star sensors and gyros was studied , and proved not able to achieve the required precision . so a new idea called instrument - in - loop was presented what using the attitude information contained in the payload ' s data for the control loop . the simulation proved that the instrument - in - loop method can greatly improve the precision of attitude determination with low cost
建立了svom卫星各种姿态敏感器的测量模型，研究了基于推广卡尔曼滤波算法的“星敏感器+光纤陀螺”定姿方案，指出了其无法满足svom卫星的定姿精度要求，并提出了instrument - in - loop的思想，即利用卫星有效载荷测量数据中蕴含的高精度姿态信息来滤波定姿，从而在避免使用昂贵的星敏感器的同时大大提高了系统的定姿精度。