Most of the target tracking algorithms is normal ones without consideration of ECM in our research.
目前国内对电子对抗下的目标跟踪算法研究较少， 一般都是常规算法。
The paper introduces the target tracking algorithms based on Bayesian inference, which can be applied in the systems of nonlinearity and non-Gaussianity.
该文描述了基于贝叶斯推理的目标跟踪算法，可应用于非线性、非高斯系统中。
According to the characters of the infrared target and the background figure, kinds of infrared target tracking algorithms are studied, and the suitable ones are selected.
本文研究了多种红外目标运动跟踪算法，结合本系统红外目标特性与图像背景特性，选取了适合本系统的算法。
This method can also be applicable to evaluate the performance of other algorithms in multi-target tracking.
该方法同样适用于对多目标跟踪算法的性能进行评估。
In order to improve the image discernment precision of infrared tracking system, the genetic algorithms based on wavelet transform is used in the processing of aerial target thermal image.
为了提高红外跟踪系统的图像识别精度，本文针对红外探测器生成的空中目标图像，提出用基于小波变换的遗传算法对红外热图像进行处理。
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。
The comparison of two algorithms performance in target tracking is presented and the simulation results are also given.
将两种算法在目标跟踪中的性能进行了比较。
This paper combines the above two algorithms to improve the target tracking algorithm in order to solve the problem that the target occluding and appearing a short time away.
本文将上述两种算法融合在一起对目标跟踪算法进行改进，解决了目标在被遮挡、出现短时间消失等问题。
The experiments show the proposed infrared target tracking method is effective and superior to the compared algorithms.
实验结果证明了所提出的红外图像目标跟踪方法是有效的，并且优于所比较的算法。
In order to overcome the target recognition difficulties caused by the noise, occlusion and the changing of the background, a lot of tracking algorithms have been proposed.
为了克服噪声、遮挡、背景的改变等对目标识别带来的困难，出现了很多的跟踪算法。
The developed algorithms are applied to a target identification problem with two sensors: millimeter wave radiometer, infrared searching and tracking.
改进的算法可有效地应用于采用两种探测器的目标识别：毫米波辐射计、红外搜索和跟踪探测器。
It did so by tracking "optical induction markers" on the target, then using algorithms to match those markers up with points on 3d computer models of the target.
它这样做是通过在目标跟踪“光感应标记”，然后使用算法来匹配这些标记与目标的三维计算机模型百分点。
Low observable small target detection, recognition and tracking algorithms are key technologies to extend the acceptance distance of guidance system and enhance the capacity of defense system.
低信噪（杂）比条件下运动点目标的检测、跟踪和识别技术是扩展制导武器系统作用距离，加强系统防御能力的关键技术之一。
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 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。
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