针对跟踪复杂机动目标过程中由于目标运动状态发生变化导致的跟踪误差较大的问题,提出一种自适应交互多模型无迹卡尔曼滤波(interacting multiple model unscented Kalman filter,IMM-UKF)算法,使用模型概率后验信息和模型似然函数自适...针对跟踪复杂机动目标过程中由于目标运动状态发生变化导致的跟踪误差较大的问题,提出一种自适应交互多模型无迹卡尔曼滤波(interacting multiple model unscented Kalman filter,IMM-UKF)算法,使用模型概率后验信息和模型似然函数自适应修正马尔可夫转移概率矩阵(transition probability matrix,TPM)。设计模型概率校正方法和模型转移加速方法,两种方法分别作用于模型稳定阶段和模型转移阶段,提高模型概率准确度和模型转移响应速度,减小状态估计误差。最后,通过两种场景下的实验验证所提算法在目标具有复杂运动状态下的性能,并与传统方法进行对比分析,在目标做机动运动时,位置精度和速度精度分别提高了15%和26%,验证了算法的有效性和可行性。展开更多
多功能相控阵雷达具有灵活性强、跟踪能力强的优势。为了提高相控阵雷达目标跟踪器精确度,进行相控阵雷达能量调节和任务执行的科学管理,通过合理调整机动目标和非机动目标的回访率,进而实现搜索、跟踪时间资源管理。设计了广义概率数...多功能相控阵雷达具有灵活性强、跟踪能力强的优势。为了提高相控阵雷达目标跟踪器精确度,进行相控阵雷达能量调节和任务执行的科学管理,通过合理调整机动目标和非机动目标的回访率,进而实现搜索、跟踪时间资源管理。设计了广义概率数据关联-交互式多模型(Generalized Probability Data Association-Interacting Multiple Model, GPDA-IMM)算法,GPDA运算量小,IMM综合了无迹和容积卡尔曼滤波和粒子滤波多模型滤波的特点,且优化权重因子,达到了较好跟踪性能。最后,通过仿真平台模拟8个运动目标的现实场景,结合时间管理和目标跟踪调整回访率,进行大量的仿真实验,证明了算法对不同目标类型和机动状态的有效性和实用性。展开更多
The potential clinical impact of enhancing antitumor immunity is increasingly recognized in oncology therapeutics for solid tumors.Colorectal cancer is one of the most studied neoplasms for the tumor-host immunity rel...The potential clinical impact of enhancing antitumor immunity is increasingly recognized in oncology therapeutics for solid tumors.Colorectal cancer is one of the most studied neoplasms for the tumor-host immunity relationship.Although immune cell populations involved in such a relationship and their prognostic role in colorectal cancer development have clearly been identified,still no approved therapies based on host immunity intensification have so far been introduced in clinical practice.Moreover,a recognized risk in enhancing immune reaction for colitis-associated colorectal cancer development has limited the emphasis of this approach.The aim of the present review is to discuss immune components involved in the host immune reaction against colorectal cancer and analyze the fine balance between pro-tumoral and anti-tumoral effect of immunity in this model of disease.展开更多
文摘针对跟踪复杂机动目标过程中由于目标运动状态发生变化导致的跟踪误差较大的问题,提出一种自适应交互多模型无迹卡尔曼滤波(interacting multiple model unscented Kalman filter,IMM-UKF)算法,使用模型概率后验信息和模型似然函数自适应修正马尔可夫转移概率矩阵(transition probability matrix,TPM)。设计模型概率校正方法和模型转移加速方法,两种方法分别作用于模型稳定阶段和模型转移阶段,提高模型概率准确度和模型转移响应速度,减小状态估计误差。最后,通过两种场景下的实验验证所提算法在目标具有复杂运动状态下的性能,并与传统方法进行对比分析,在目标做机动运动时,位置精度和速度精度分别提高了15%和26%,验证了算法的有效性和可行性。
文摘多功能相控阵雷达具有灵活性强、跟踪能力强的优势。为了提高相控阵雷达目标跟踪器精确度,进行相控阵雷达能量调节和任务执行的科学管理,通过合理调整机动目标和非机动目标的回访率,进而实现搜索、跟踪时间资源管理。设计了广义概率数据关联-交互式多模型(Generalized Probability Data Association-Interacting Multiple Model, GPDA-IMM)算法,GPDA运算量小,IMM综合了无迹和容积卡尔曼滤波和粒子滤波多模型滤波的特点,且优化权重因子,达到了较好跟踪性能。最后,通过仿真平台模拟8个运动目标的现实场景,结合时间管理和目标跟踪调整回访率,进行大量的仿真实验,证明了算法对不同目标类型和机动状态的有效性和实用性。
文摘The potential clinical impact of enhancing antitumor immunity is increasingly recognized in oncology therapeutics for solid tumors.Colorectal cancer is one of the most studied neoplasms for the tumor-host immunity relationship.Although immune cell populations involved in such a relationship and their prognostic role in colorectal cancer development have clearly been identified,still no approved therapies based on host immunity intensification have so far been introduced in clinical practice.Moreover,a recognized risk in enhancing immune reaction for colitis-associated colorectal cancer development has limited the emphasis of this approach.The aim of the present review is to discuss immune components involved in the host immune reaction against colorectal cancer and analyze the fine balance between pro-tumoral and anti-tumoral effect of immunity in this model of disease.
