This paper aims to introduce a new target tracking method based on risk theory in a 2-D discrete environment. After that, the related sensor scheduling method is proposed. This can make up the blank of target tracking and sensor management in the 2-D discrete environment.,The definition of risk is proposed based on risk decision theory firstly. Then the target tracking model in a two-dimensional discrete environment is built. The motion state updating and estimation method of target’s motion state based on Bayes theory is given. Thirdly, the method of computing sensor emission interception risk is provided. Afterwards, the optimization rule of obtaining the minimum risk is followed to model the sensor scheduling objective function. The lion algorithm is adjusted and improved combined with Chaos theory to generate the optimal sensor management projects.,The risk-based sensor target tracking method and sensor management method are both effective in a 2-D discrete environment.,To the best of the authors’ knowledge, this paper is the first to study the target tracking method and sensor scheduling method in a 2-D environment. Furthermore, the lion algorithm is improved combined with Chaos theory to show a better optimization performance.

中文翻译：

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目标跟踪中基于风险决策的传感器调度

本文旨在介绍一种在二维离散环境中基于风险理论的新目标跟踪方法。之后，提出了相关的传感器调度方法。这可以弥补二维离散环境中目标跟踪和传感器管理的空白。,首先基于风险决策理论提出了风险的定义。然后建立二维离散环境下的目标跟踪模型。给出了基于贝叶斯理论的目标运动状态更新与估计方法。第三，提供了计算传感器发射拦截风险的方法。之后，遵循获得最小风险的优化规则对传感器调度目标函数进行建模。结合混沌理论对lion算法进行了调整和改进，以生成最优的传感器管理项目。,基于风险的传感器目标跟踪方法和传感器管理方法在二维离散环境中都是有效的。,致作者最佳'知识，本文首次研究了二维环境中的目标跟踪方法和传感器调度方法。此外，Lion 算法结合混沌理论进行了改进，以显示出更好的优化性能。