In addition, a maneuvering target tracking algorithm using adaptive turn rate models are presented.
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。
The maneuvering target tracking(MTT) method includes variable dimension filter, input estimation and IMM, etc.
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。
To solve the problem of data association in maneuvering target tracking, a new method of data association 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。
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。
Tracking prediction tracking correlation and tracking detection are used in the method for multiple maneuvering target tracking.
利用航迹预测、航迹关联和航迹检测对目标进行跟踪。
Most of former studies on maneuvering target tracking are mainly taken for deterministic system, with few on random changing structures.
以往机动目标的跟踪问题大多是针对确定性系统，而对随机跳变系统的研究较少。
How to realize maneuvering target tracking quickly when target is maneuvering is one of problems that radar information processing system must solve.
当空中目标机动时，如何快速实现对机动目标的自适应跟踪，是雷达情报处理系统中必须解决的问题之一。
Maneuvering target tracking algorithm based on adaptive Gauss model and EKF was built for improving the tracking performance in Multi-static systems.
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。
Method for maneuvering target tracking in MPRF mode is analyzed emphatically. By use of this scheme, effective target detection is achieved in trial flight.
并着重讨论了中重复频率方式下，改善对近距离高机动目标检测性能的一些策略，且在实际飞行实验中得到初步验证。
The interacting multiple model(IMM) algorithm has been shown to be one of the most effective estimation algorithms in the field of maneuvering target tracking.
在交互式多模型算法中引入神经网络算法以改进目标跟踪的精度。
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.
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。
Aiming at the imprecision of maneuvering target tracking by using traditional input estimation algorithms, a modified maneuvering target tracking algorithm of ie is proposed.
针对传统输入估计算法跟踪机动目标时检测概率和估计精度不高的缺点，提出一种改进的输入估计跟踪算法。
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.
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。
In view of maneuvering target tracking in cluttered environment, this paper reviews two existing gating techniques, namely, Model Based gating (MBG) and Centralized gating (CG).
针对杂波环境下跟踪机动目标问题，研究了两种现行的跟踪门，模型跟踪门(mbg)和集中跟踪门(CG)。
One maneuvering target tracking method in which RBF neural network is applied to correct Kalman filter result in standard Interacting Multi Model (IMM) is proposed in this paper.
文中提出了一种应用rbf神经网络对标准IMM算法中的卡尔曼滤波结果进行校正的方法。
The results of simulation indicate that this new approach has a better accuracy than the traditional Kalman filter and strong tracking Kalman filter in the field of maneuvering target tracking.
仿真结果表明，该改进滤波器跟踪机动目标的精度高于常规卡尔曼滤波器和强跟踪卡尔曼滤波器。
A nonlinear predictive tracking filtering algorithm is presented for maneuvering target, which is an innovations-based scheme of maneuver estimation.
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 method of maneuvering target prediction is presented for image tracking system armored on armored vehicle.
针对装甲车上的图像跟踪系统，提出了一种机动目标预测方法。
To investigate the problem of tracking a high accelerating maneuvering target with netted radar system, the parallel extended Kalman filtering algorithm is derived.
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。
Because this algorithm USES precision normal acceleration model, precision of tracking maneuvering target of algorithm is very well.
由于该算法对法向加速度精确建模，所以对机动目标的跟踪精度较高。
Because this algorithm use precision normal acceleration model, precision of tracking maneuvering target of algorithm is very well.
由于该算法对法向加速度精确建模，所以对机动目标的跟踪精度较高。
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.
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。
In order to resolve the maneuvering problem in target tracking, an algorithm based on interacting multiple model (IMM) method was presented.
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。
On the base of it, a decentralized bearings-only tracking algorithm based on the current statistical model was deduced and used to track bearings-only maneuvering target.
在此基础上，推导了基于当前统计模型的分散式纯方位跟踪算法并对纯方位机动目标实施跟踪。
This paper presents a tracking algorithm for maneuvering target when the measurement noise is glint noise.
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。
The conventional bearing only measurement tracking filter is unable to track a maneuvering target.
传统的仅有角测量跟踪器不能跟踪机动目标。
The scheme of tracking maneuvering target based on neural fuzzy network with increased leaning is proposed.
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。
This paper proposes one kind of adaptive IMM algorithm based on kinematics parameters used for tracking the high speed and high maneuvering target.
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。
A fast Kalman filtering algorithm of netted radar system is presented for tracking a maneuvering target.
提出了一种快速卡尔曼滤波跟踪算法，用于组网雷达系统对机动目标的跟踪分析。
A fast Kalman filtering algorithm of netted radar system is presented for tracking a maneuvering target.
提出了一种快速卡尔曼滤波跟踪算法，用于组网雷达系统对机动目标的跟踪分析。
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