仅利用距离测量的移动目标定位与追踪
Localization and Pursuit of a Mobile Target using Distance-only Measurements
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中文总结 AI 辅助
本文提出一种无需GPS、角度传感或多锚节点的方法，通过距离测量实现二维平面内移动目标的定位与追踪，最多13步即可完成定位，智能体可从搜索顺利过渡到追踪并保持有界误差。
中文摘要 AI 辅助
本文研究在二维平面内仅通过距离测量实现线性移动目标的定位与追踪问题，目标到接收端的距离由路径损耗测量估算，且假设该距离无噪声。所提系统由位于原点的接收端和一个移动智能体组成，无需依赖GPS、角度传感或多个锚节点即可实现目标定位。所提方法首先识别目标所在象限并估算其位置，随后利用连续的目标位置估算值确定运动矢量，更新智能体的追踪轨迹。研究表明，定位目标并确定其运动矢量最多需要13步；仿真结果显示，智能体可成功从搜索阶段过渡到追踪阶段，且能保持有界的追踪误差。
英文摘要
This paper investigates localization and pursuit of a linearly moving target in a two-dimensional plane using distance measurements only. The distance from the target is estimated from pathloss measurements and is assumed to be noise-free. The proposed system consists of a receiver that is stationed at the origin and a mobile agent. The system does not rely on GPS, angle sensing, or multiple anchor nodes to localize the target. The proposed method first identifies the target quadrant and estimates its position. Consecutive target position estimates are then used to determine the motion vector and update the agent trajectory during pursuit. We show that a maximum of thirteen steps are required to localize the target and determine its motion vector. Simulation results show that the agent can successfully make a transition from search to pursuit phase, and also maintain a bounded tracking error.
