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- Aim To study algorithms of maneuvering target tracking. 目的研究机动目标跟踪算法。
- 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。
- 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。
- Maneuvering target tracking algorithms should estimate target motion mode and eliminate influence of glint noise at the same time. 机动目标跟踪算法应同时考虑目标运动模式变化和闪烁噪声出现对滤波过程的影响。
- 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。
- Traditional Extended Kalman Filter (EKE) is suitable for constant parameter system, it will cause greater error or even filtering divergence if it is applied in maneuvering target tracking. 传统的推广卡尔曼滤波适用于定系统定参数的情况，如果运用到机动目标跟踪上会导致误差增大甚至滤波发散。
- Doppler velocity measurement was applied to modify the PTLKF algorithm that was used to compensate the linearization errors,and then the modified acceleration variance adaptive algorithm was integrated for maneuvering target tracking. 以机动目标“当前”统计模型为基础,建立新的机动目标模型,加入多普勒速度测量对补偿线性化误差的跟踪算法(PTLKF)进行改进。
- 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。
- Maneuvering Target Tracking in TWS Radar TWS 雷达中的机动目标跟踪问题
- high maneuvering target tracking 高速机动目标跟踪
- high speed and high maneuvering target tracking 高速高机动目标跟踪
- Multiple maneuvering target tracking 多机动目标跟踪
- To avoid missing track caused by the target maneuvers in automatic target tracking system, a new maneuvering target tracking technique called threshold interacting multiple model (TIMM) is proposed. 针对如何避免或减少由于目标的机动运动所带来的估计误差问题;提出了具有门限的相互作用多模型估计(TIMM)的新算法.;该算法主要应用于雷达目标自动跟踪系统中
- A Novel Data Association Method for Maneuvering Target Tracking 机动目标跟踪中数据互联新方法
- IMM optimized model design method for maneuvering target tracking 一种机动目标跟踪的IMM模型优化设计方法
- Maneuvering target tracking under non-all measurement information 非全测状态下的机动目标跟踪
- Study on Maneuvering Target Tracking for State Bounding 跟踪机动目标研究
- Investigation of Maneuvering Target Tracking Alogrithm 机动目标跟踪算法研究
- The degeneracy problem of particle filter (PF) is overcome to some extent.Simulation results indicate that PF has higher precision than IMM in the application of maneuver target tracking. 仿真结果表明，采用PF跟踪机动目标，其跟踪精度要高于IMM，说明PF具有较强的处理非线性系统的能力；
