本文提出了一种多机动目标跟踪的方法。
This paper proposes a way of multiple maneuvering target tracking.
本文提出了一种新的机动目标跟踪滤波的模型方法。
A new modeling filtering method for tracking manoeuvring targets is presented.
本文介绍了用于机动目标跟踪的自适应混合多模算法。
The paper describes an Adaptive Interacting Multiple-model(AIMM) algorithm for use in manoeuvring target tracking.
本文提出了基于增量学习神经模糊网络机动目标跟踪模型。
The scheme of tracking maneuvering target based on neural fuzzy network with increased leaning is proposed.
另外，还提出了一个自适应转弯速率模型的机动目标跟踪算法。
In addition, a maneuvering target tracking algorithm using adaptive turn rate models are presented.
机动目标跟踪在各个领域一直是人们密切关注的重要问题之一。
Maneuvering target tracking is one of important problems which receive close attention in many fields.
提出了一种直接根据新息的机动目标跟踪非线性预测跟踪滤波算法。
A nonlinear predictive tracking filtering algorithm is presented for maneuvering target, which is an innovations-based scheme of maneuver estimation.
并将其应用于机动目标跟踪中，使跟踪问题有了一种新的解决办法。
The new type fuzzy controller can be applied to tracking of maneuvering target, and supplies a new method in target tracking.
机动目标跟踪方法主要有变维滤波、输入估计方法和交互式多模方法。
The maneuvering target tracking(MTT) method includes variable dimension filter, input estimation and IMM, etc.
运用雷达量测原理和机动目标跟踪理论，建立地面警戒雷达的功能模型。
A simulation model of search radar is established based on radar measurement theory and moving target tracking theory.
给出了一种量测噪声为闪烁噪声情况下的模型集交互机动目标跟踪算法。
This paper presents a tracking algorithm for maneuvering target when the measurement noise is glint noise.
提出一种基于运动学参数的自适应IMM算法，进行高速高机动目标跟踪。
This paper proposes one kind of adaptive IMM algorithm based on kinematics parameters used for tracking the high speed and high maneuvering target.
针对转弯机动目标跟踪，提出了一种两层交互多模型(IMM)跟踪算法。
A novel two-layer interactive multiple model (IMM) tracking algorithm for turn maneuver is proposed.
为解决机动目标跟踪过程中的数据互联问题，该文提出了一种数据互联新方法。
To solve the problem of data association in maneuvering target tracking, a new method of data association is proposed.
变结构多模算法是最有效的机动目标跟踪滤波算法，其核心是模型集自适应策略。
The variable structure multiple-model estimation filtering is the most effective approach for tracking maneuvering target, and the model set adaptation algorithm is the core of it.
在应用NIFPAT算法对机动目标跟踪时存在计算量大和要求网络训练两个弱点。
In tracking a maneuvering target by NIFPAT algorithm, there are two shortcomings i. e. great computational burden and dependence on network training.
针对自主车辆的机动目标跟踪问题提出了一个利用雷达和图像传感器的融合跟踪方法。
A new fusion tracking system for maneuvering vehicle based on radar and image sensors is presented.
第四章，针对机动目标跟踪中的机动检测问题，提出了基于三阶累积量的机动检测算法。
Non maneuvering target tracking with high precision is achieved in the chapter. In chapter 4, the algorithm of maneuver detection based on higher-order cumulants is proposed.
机动目标跟踪是一个很具有挑战性的任务，即使是跟踪单目标也可能因为目标的逃避机动而失跟。
The maneuvering target tracking is a challenging task. Even if in single target tracking, it is likely to miss the target because of the escape maneuver of the target.
因此，杂波环境下的多机动目标跟踪问题需要同时解决多个目标的机动性以及测量和目标之间的关联问题。
So tracking multitarget with maneuverability in clutter has to tackle the maneuvering of multitarget as well as the association between measurements and targets.
文中给出了这种滤波增益的设计方法，并以一类机动目标跟踪问题为例，说明这种设计方法的直接性与有效性。
The design method for such a filter gain is given in the present paper. An example. dealing with the problem oft...
针对机动目标跟踪中常见的量测转换问题，提出了一种基于球坐标系下最优线性无偏估计滤波的交互多模型算法。
Aiming at the problem of measurement conversion within the target tracking, a new algorithm combined best linear unbiased estimation with interacting multiple model methods is derived.
从仿真结果可以看出，在杂波环境下用IMM-PDAF进行机动目标跟踪，TS-MPWG跟踪门优于其它方法。
The simulation results suggest that: tracking maneuvering targets in cluttered environment with IMM-PDAF, gating via TS-MPWG is preferable to other methods.
本文研究了支持向量回归(SVR)在机动目标跟踪中的应用，并与传统回归方法最小二乘法(LS)进行了比较。
Tracking random targets with Support Vector Regression (SVR) is studied and compared with the Least Square (LS) estimate in this paper.
提出了一种结合粒子滤波器和吉布斯采样器的多机动目标跟踪算法，可以很好地解决在杂波环境下的多机动目标跟踪问题。
So a new multitarget tracking algorithm is proposed, which combines the particle filter and the Gibbs sampler, and can track maneuvering multitarget in cluttered environment very.
提出了一种使用两个模型实现对机动目标跟踪的多模型算法，采用当前统计模型和扩展后的常速模型组成的模型集进行交互。
A new EMM algorithm for tracking maneuvering target is presented, which USES two models that consist of a normal CS model and an augmented CV model for interaction.
为改善多基地雷达系统对高机动目标的跟踪性能，提出了基于自适应高斯模型和扩展卡尔曼滤波(ekf)的机动目标跟踪算法。
Maneuvering target tracking algorithm based on adaptive Gauss model and EKF was built for improving the tracking performance in Multi-static systems.
该方法以球坐标系中三通道解耦自适应卡尔曼滤波为基础，结合最近邻（NN）方法或概率数据关联滤波（PDAF）方法实现杂波中的机动目标跟踪。
Based on adaptive Kalman filter in polar coordinates, the algorithm was implemented with NN method and PDAF to fuse sensors in clutter.
为了提高在杂波环境下跟踪强机动目标的精度，提出了一种新的基于期望极大化(EM)算法的机动目标状态估计方法。
To improve the accuracy of tracking the complex maneuver target in cluttered environment, a new state estimation algorithm based on the expectation maximization (EM) algorithm is presented.
给出了一种利用自适应转弯速率模型的IMM跟踪算法，可以用于机动目标的跟踪中。
This paper presents an interactive multiple model algorithm (IMM) utilizing adaptive turn rate models to track a maneuvering target.
应用推荐