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.
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.
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.
针对多基地雷达系统跟踪近距离高加速机动目标的场合，提出了一种并行扩展卡尔曼滤波算法。
To investigate the problem of tracking a high accelerating maneuvering target with netted radar system, the parallel extended Kalman filtering algorithm is derived.
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.
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.
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.
针对目标跟踪中的目标机动问题提出了一种“基于自适应相互作用多模型”的算法。
In order to resolve the maneuvering problem in target tracking, an algorithm based on interacting multiple model (IMM) method was presented.
机动检测是多模型目标跟踪中的一个关键问题。
Maneuver detection is a key issue in the multiple-model target tracking applications.
探讨了一种利用单个观测站对机动辐射源目标进行无源定位与跟踪的交互式多模型（IMM）算法。
The Interacting Multiple-Model (IMM) algorithm for passive localization of maneuvering emitter by mono-static is discussed in this paper.
同时还研究了多传感器跟踪多机动目标过程中的数据关联方法。
Data association method in multi sensor multi maneuver target tracking is simultaneously argued.
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.
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.
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.
将当前统计模型和变结构多模型估计算法相结合，阐述了变结构多模型算法的基本思想，研究和设计了一种用于跟踪机动目标的变结构交互多模型算法。
The basic idea of the variable-structure multiple model algorithm is expatiated. A variable-structure IMM algorithm for tracking a maneuvering target is studied and designed.
内容包括单机动目标的跟踪和估价，多机动目标的跟踪和估价问题。
Includes a single maneuvering target tracking and valuation, tracking multiple maneuvering targets and valuation issues.
内容包括单机动目标的跟踪和估价，多机动目标的跟踪和估价问题。
Includes a single maneuvering target tracking and valuation, tracking multiple maneuvering targets and valuation issues.
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