分布式天线系统中的仅多普勒扩展目标跟踪
Doppler-Only Extended Target Tracking in a Distributed Antenna System
浏览论文内容
中文总结 AI 辅助
针对分布式天线系统中仅有多普勒测量的扩展目标跟踪问题，提出改进的Rao-Blackwellised粒子滤波器，通过粒子特定扩展卡尔曼更新和重新线性化处理非线性，实现精确跟踪。
中文摘要 AI 辅助
在现代雷达和集成感知与通信（ISAC）系统中，由于更高的空间分辨率，传统的点散射体假设变得越来越不准确。在此背景下，扩展目标跟踪（ETT）近年来引起了越来越多的关注。然而，由于多基地场景中测距和测角所需的精细时间同步或每节点天线阵列，大多数现有的ETT工作是为单基地系统设计的。相比之下，本文提出了一种在分布式天线系统中进行扩展目标跟踪的新方法，其中仅可获得双基地多普勒频率测量。仅多普勒跟踪特别具有吸引力，因为它避免了上述两个问题。为了解决这一仅多普勒扩展目标跟踪问题，我们开发了一种改进的Rao-Blackwellised粒子滤波器（RBPF），该滤波器用粒子特定的扩展卡尔曼滤波器更新以及随后的重新线性化步骤取代了标准卡尔曼更新，从而处理刚性扩展目标动力学和观测模型中的非线性。数值模拟表明，在该仅多普勒设置下，所提出的算法能够有效地实现精确的扩展目标跟踪。
英文摘要
In modern radar and Integrated Sensing and Communication (ISAC) systems, the conventional point-scatterer assumption becomes increasingly inaccurate due to higher spatial resolution. In this context, Extended Target Tracking (ETT) has grown interest in recent years. However, most existing ETT works are designed for monostatic systems due to the fine time synchronisation or per-node antenna arrays required for ranging and angle estimation in multistatic scenarios. In contrast, this paper proposes a novel approach to extended target tracking in a distributed antenna system, where only bistatic Doppler frequency measurements are available. Doppler-only tracking is particularly attractive as it avoids the two aforementioned issues. To address this Doppler-only extended target tracking problem, we develop a modified Rao-Blackwellised Particle Filter (RBPF) that replaces the standard Kalman update with a particle-specific Extended Kalman Filter update followed by a relinearisation step, handling the non-linearities of both the rigid extended target dynamics and the observation model. Numerical simulations show the effectiveness of the proposed algorithm for accurate extended target tracking under this Doppler-only setting.
发表机构
- ICTEAM, UCLouvain（ICTEAM，南鲁汶大学）
机构由 AI 辅助整理，请以论文原文为准。
