• It is similar to a tracking filter in electronic circuit.

    它类似于电子电路中的跟踪滤波器。

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  • Finally, some solutions to improve prediction accuracy of the tracking filter are given.

    最后给出了提高滤波预测精度的一些解决方法。

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  • 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。

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  • Tactical information of the certain air target can be used to improve the performance of the tracking filter.

    可以利用战术背景下做战术机动空中目标的特性来提高跟踪效果。

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  • A new kind of training method of RBF neural network is given, which is a method based on strong tracking filter.

    文中给出了一种新的RBF神经网络训练方法,即基于强跟踪滤波器的训练方法。

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  • To improve the precision of multisensor data fusion, data or track association becomes the key of target tracking filter.

    为了提高多传感器数据融合的精度,数据或航迹关联成为对目标跟踪滤波的关键。

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  • But to the CW pulse signal with changing frequency, it is difficulte to realize tracking filter with common narrowband filter.

    但是,对于中心频率不断变化的CW脉冲信号,使用常规的硬件窄带滤波器很难实现对其跟踪滤波。

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  • When faults arise in the control systems, PI Strong Tracking filter can detect, locate and estimate the faults at the same time.

    在系统发生故障时,比例积分强跟踪滤波器不仅能够快速检测、定位故障,而且还能估计出故障的大小。

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  • Then two better methods that one of correction of model error and the other of nonlinear filter by Strong Tracking Filter were proposed.

    本文提出了一种基于强跟踪滤波器的自适应故障预报方法,能够对一类带时变参数的非线性系统进行故障预报。

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  • Based on the dynamic balancing of rigid rotors, an integral digital tracking filter method is put forward for fundamental frequency detection.

    以刚性转子现场动平衡为背景,提出了用于基频检测的积分型数字跟踪滤波法。

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  • This paper presents an adaptive fault prediction method based on strong tracking filter, which can predict faults in a class of nonlinear time varying systems.

    本文提出了一种基于强跟踪滤波器的自适应故障预报方法,能够对一类带时变参数的非线性系统进行故障预报。

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  • Vehicle real driving investigation comes up with time section cross method, and USES advanced instruments such as non-contacted speed sensor with tracking filter etc.

    车辆行驶状况路上调查采用分时段交错法进行,并使用具有高精度的可跟踪滤波的非接触式速度传感器等先进设备采集数据。

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  • This paper presents a simple tracking filter circuit, which is applicable to Doppler radar sets and consists mainly of a switched bandpass filter and a phase-locked loop.

    本文提出一种简单的跟踪滤波器电路,该电路可用于多普勒雷达,主要由开关式带通滤波器和锁相环组成。

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  • A digital tracking filter method is put forward, its approach realizing adaptive tracking ability is simple and easy, and good effect of noise cancellation can be obtained.

    提出了数字跟踪窄带滤波方法,实现的自适应跟踪方法简便,消噪效果良好。

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  • Strong Tracking Filter (STF) for AUV propulsive system fault diagnosis and fault tolerance is used to overcome the negative affects of the nonlinearities and uncertainties of AUV motion.

    针对AUV运动严重的非线性和不确定性,对AUV推进系统的故障诊断采用了强跟踪滤波器的方法。

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  • By combining the strong tracking filtering theory with data fusion estimation approaches, we put forward a new fusion estimation algorithm of multi sensor based on strong tracking filter.

    将强跟踪滤波理论与多传感器数据融合估计方法相结合,提出基于强跟踪滤波器的多传感器数据融合估计新算法。

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  • The correlations between measurement noises and processing noises are added to the gain matrix of tracking filter, so information that can describe multi-sensors fusion systems is increased.

    在跟踪滤波器的增益阵中引入测量噪声与过程噪声的相关量和测量噪声之间的相关量,增加了描述多传感器融合系统的信息量。

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  • Single-radar target correlation and tracking filter research: In tracks correlation, it is most important that design a correct correlation gate size and paring algorithm for observation and tracks.

    对于航迹相关算法给出了一种比较实用的单雷达航迹和系统航迹相关的算法,该算法消除了实际应用中出现的航迹相关错误。

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  • The improved particle filter tracking algorithm not only keeps the high efficient operation, but also improves stability of target tracking.

    改进后的粒子滤波跟踪算法不但保持了较高的运算效率,而且还较好地提高了跟踪的稳定性。

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  • Experimental results show that particle filter tracking algorithm is more stable and more accurate than traditional particle filter tracking algorithm.

    试验表明,改进后的粒子滤波跟踪算法目标跟踪更加稳定,目标定位更加准确。

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  • A new approach that incorporates robust appearance filter with a particle filter to realize robust object tracking is presented in this paper.

    本文提出一种新的目标跟踪算法,将鲁棒外观滤波与粒子滤波器相结合,从而实现稳定的目标跟踪。

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  • The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.

    实验结果表明,在非线性系统模型的仿真中,贝叶斯预测滤波框架能够较好的实现对简单物体运动的跟踪和方位的预测。

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  • Incorporating color distribution and spatial layout, this paper proposes a sequential Monte Carlo filter tracking face algorithm using color and spatial information in HSV color space.

    结合图像的色彩分布和空间布局,提出了一种基于HSV色彩和空间信息的序列蒙特卡罗滤波人脸跟踪算法。

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  • Studies the resonator frequency temperature characteristic, then designs the middle-frequency tracking band pass filter.

    研究了谐振子频率的温度特性并设计了频率跟踪带通滤波器。

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  • To improve the performance of passive tracking, the Gaussian sum particle filter (GSPF) was proposed.

    为提高被动跟踪性能,提出了一种高斯和粒子滤波方法。

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  • The scheme also adopts tracking differentiator to filter the signal.

    并采用跟踪-微分器对信号进行了滤波。

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  • Hybrid particle filter based flame tracking algorithm is proposed in this paper.

    提出一种基于混合粒子滤波的运动火焰跟踪算法。

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  • According to the system bandwidth, the low pass filter was added in controller to assure the tracking effect of system and filter the super-high frequency in control singles.

    根据系统的带宽,在控制器中加入低通滤波器,以保证系统跟踪效果,过滤控制信号中频率过高部分。

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  • After studying particle filter technology, a moving object tracking algorithm based on a particle filter was developed, integrating foreground information, color features and an integral image method.

    通过粒子滤波技术,研究了如何整合颜色特征、前景信息和积分图运算等技术实现视频目标跟踪的粒子滤波算法。

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  • In the tracking stage, track face using kalman filter and skin-color feature, if fail to track then turn into detecting stage.

    跟踪阶段用卡尔曼滤波器结合肤色特征跟踪人脸,如果跟踪失败,转入检测阶段。

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