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- Combining real-time input estimation algorithm, a novel maneuvering target model named adap-tive input statistics model is deve loped based on current statistics model. 在“当前”统计模型的基础上,结合实时输入估计算法,提出了一种新的机动目标模型--自适应输入统计模型。
- Maneuvering target modeling and target information processing is the most important development direction of the armored vehicle fire control system. 机动目标建模与目标信息处理是当前战车火控系统的重要发展方向。
- Firstly, the maneuvering target models and the measurement equations are established.Secondly, the MLE algorithm is derived in detail.Finally, the computer simulations are made. 首先建立了机动目标模型与观测方程,然后详细推导了定位算法,并进行了仿真实验。
- maneuvering target model 机动目标模型
- Some shortcomings of "current" statistical model for maneuvering target are discussed. 讨论了机动目标加速度的“当前”统计模型问题。
- In view of the problem of maneuvering target tracking, an adaptive tracking algorithm based on curvilinear model was presented. 摘要针对机动目标跟踪问题,提出了一种基于曲线模型的自适应跟踪算法。
- Aim To study algorithms of maneuvering target tracking. 目的研究机动目标跟踪算法。
- in this paper, the writers analyse the current maneuvering target models and their Kalman filtering algorithms, and experiment on a practical algorithm with DSP. 分析了现有机动目标数学模型及其卡尔曼滤波算法;并用数字信号处理器(DSP)对一个实际算法进行了实验.
- Abstract Abstract:A fast efficient algorithm is developed for multiple model adaptive estimation in the terminal interception of randomly maneuvering target scenario. 摘要 摘要:针对随机机动目标末端制导拦截问题,提出了一种快速有效多模型自适应估计算法。
- A new IMM algorithm for tracking maneuvering target is proposed, which uses a CS(Current Statistical) model with a fading factor and a CV(Constant Velocity) model for interaction. 采用带渐消因子的“当前”统计模型与匀速运动模型进行交互,设计了一种新的机动目标跟踪的交互式多模型算法。
- This algorithm (mode-measurement-enhanced interacting multiple model generalized filtering algorithm, namely mme-IMM-gfa) is derived by Bayes theory, and is illustrated via a maneuvering target tracking simulation example. 基于贝叶斯估计理论,推导滤波公式,给出了模式观测增强的交互式多模型广义滤波算法。 机动目标跟踪的仿真算例表明其有效性。
- Aiming at the existing problems of current multi-model algorithm for maneuvering target tracking, the paper proposes a model adaptive maneuvering target tracking algorithm based on particle filtering. 摘要针对当前机动目标跟踪领域中多模型算法存在的问题,提出一种基于粒子滤波的模型自适应机动目标跟踪算法。
- A new motion model with a tracking algorithm is introduced in this paper to track a maneuvering target such as a sea skimming anti ship cruise missile (ASCM) in spherical coordinates. 这个新的模型着重于对球坐标系中目标运动模式和加速度非线性关系的深入分析。
- A terminal guidance model is designed for air-to-air missile (AAM)to intercept maneuvering targets in this paper. 构造了拦截加速机动目标的空空导弹末制导状态模型。
- Then, the maneuvering target tracking algorithms based on temporal domain multi-resolution approach are studied. 其次 具体研究了时间多分辨率方法在机动目标跟踪方面的应用。
- Therefore, it is proposed to use Strong Tracking Filter (SIT) in maneuvering target tracking. 基于此,将强跟踪滤波运用到机动目标跟踪上。
- The glint result of the two-ball target model was compared with the measured result and proved its validity. 选用了两球标准体进行角闪烁校模,计算结果与测量结果一致,证明了此方法的准确性。
- The simulation results show that this algorithm can exactly estimate the track of the maneuvering target. 仿真试验表明,该算法能很好地对机动目标的速度和航迹进行估计和跟踪。
- The essay then elaborates on the three phases for the realization of the said target model and the strategic policies thereon. 本文还论述了实现目标模式的三个发展阶段及其战略对策。
- To improve the performance of passive tracking for maneuvering target in clutter,a new particle filtering algorithm for passive tracking is proposed. 为提高杂波条件下的机动目标被动跟踪的性能,提出了一种新的粒子滤波目标被动跟踪算法。