1) bearings-only
纯方位
1.
Application of nonlinear least square based on genetic algorithms in bearings-only target motion analysis;
基于遗传算法的非线性最小二乘在纯方位系统中的应用
2.
Algorithms of bearings-only target motion analysis by two observers;
纯方位两站协同目标运动分析算法研究
3.
Algorithm study of anti-outliers for bistatic bearings-only target tracking;
双基阵纯方位目标跟踪的抗野值算法研究
2) bearing-only
纯方位
1.
Analysis of single-station bearing-only passive location on sea moving radiators
海上运动辐射源单站纯方位无源定位分析
2.
For overcoming the shortcoming of extended Kalman filter,the paper applies unscented Kalman filter on bearing-only target tracking problem.
为克服扩展卡尔曼滤波算法的缺陷,将UKF算法应用于纯方位目标跟踪问题中。
3.
This paper puts forward a new linear model for bearing-only single-target tracking problem, discusses its observability, gives its solution of filtering and analytic solution of discrete-time system.
给出了纯方位系统（第二类系统）单目标定位与跟踪的１种线性时变模型，讨论了它的 可测性。
3) Bearing only
纯方位角
1.
Bearing only target tracking, or target motion analysis (TMA), is a classic problem of estimating the target motion state (such as position, velocity etc.
纯方位角目标跟踪是指利用传感器被动接收的电磁波或声波信号的含噪声方位角信息对发出信号的目标运动状态，如位置速率等进行估计的一类问题，又被称为目标运动分析。
4) Bearings-only localization
纯方位定位
1.
In virtue of the information of azimuth and its changing ratio coming from the passive acoustic target, the article puts forward an improved algorithm of passive bearings-only localization and tracking in single sensor single target system.
该文利用被动声目标的方位角以及方位角变化率信息,提出了无源单传感器单目标纯方位定位与跟踪算法,与现有算法相比,在保证定位精度的情况下,该算法提前一个周期完成对第一个点的定位,加快了系统响应速度,减小数据的时滞。
5) bearings-only tracking
纯方位跟踪
1.
Optimal observer trajectory and simulation analysis for bearings-only tracking of constant acceleration target
常加速目标纯方位跟踪最优观测者轨迹及仿真分析
2.
Descriptions are made about the bearings-only tracking problems.
对纯方位问题进行了描述,对解纯方位跟踪问题的传统最小二乘滤波方法进行了研究,并给出了具体的计算模型。
3.
Generally,the land observer platform is stationary,a single stationary observer′s bearings-only tracking(BOT)′s precision is too low and its error is too big.
针对陆地固定观测器单站纯方位跟踪的精度不高、误差大,完全依靠被动的纯方位跟踪无法获得目标的唯一跟踪解这一问题,提出了一种纯方位跟踪信息融合方法。
6) bearing-only tracking
纯方位跟踪
1.
According to the characteristic of bearing-only tracking system,in this paper some typical algorithms for passive sensor tracking are presented in detail,such as the modified gain extended Kalman filtering,pseudo linear Kalman filtering,unscented Kalman filtering,extended Kalman filtering under modified Spherical Coordinates and Kalman filtering only by only angle information.
针对纯方位跟踪系统的特点,对修正增益扩展卡尔曼滤波、伪线性滤波、基于无迹变换的卡尔曼滤波、修正球坐标系下的扩展卡尔曼滤波、直接对角度信息建模的卡尔曼滤波等被动目标跟踪算法予以详细的讨论,并在满足可比性的条件下,对各个跟踪算法进行了仿真实验,比较和分析了仿真结果,指出了修正增益扩展卡尔曼滤波的算法优势,对实际工程应用中算法选择问题提出了参考性建议。
2.
It provides a fast and exact track initiation solution for the bearing-only tracking system using a single passive sensor.
该方法有效地解决了角度坐标系下机动目标的航迹起始分辨率下降的问题,为基于单个被动传感器纯方位跟踪系统进行快速、准确的航迹起始提供了新的思路。
补充资料：纯纯
1.诚挚貌。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条