| 刘潺,陈洋溢,吴建波,黄思洋,吴鹏,巴俊皓,赵勇杰,黄泓赫.面向时分组网系统的差分到达时间差分布式定位算法[J].电子测量与仪器学报,2026,40(6):159-168 |
| 面向时分组网系统的差分到达时间差分布式定位算法 |
| Distributed differential time difference of arrival localizationfor time-division ad hoc networks |
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| DOI： |
| 中文关键词: 无源定位 分布式系统 到达时间差 差分到达时间差 自组网 |
| 英文关键词:passive localization distributed system time difference of arrival differential time difference of arrival ad hoc network |
| 基金项目:国家自然科学基金（52101377）项目资助 |
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| Author | Institution |
| Liu Chan | School of Intelligence Science and Technology, National University of Defense Technology, Changsha
410073,China |
| Chen Yangyi | School of Intelligence Science and Technology, National University of Defense Technology, Changsha
410073,China |
| Wu Jianbo | Unit 31608 of PLA, Quanzhou 362302, China |
| Huang Siyang | School of Intelligence Science and Technology, National University of Defense Technology, Changsha
410073,China |
| Wu Peng | School of Intelligence Science and Technology, National University of Defense Technology, Changsha
410073,China |
| Ba Junhao | School of Intelligence Science and Technology, National University of Defense Technology, Changsha
410073,China |
| Zhao Yongjie | School of Intelligence Science and Technology, National University of Defense Technology, Changsha
410073,China |
| Huang Honghe | School of Intelligence Science and Technology, National University of Defense Technology, Changsha
410073,China |
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| 摘要点击次数: 63 |
| 全文下载次数: 23 |
| 中文摘要: |
| 针对无人机蜂群等分布式探测场景下对时分组网通信系统的无源侦察需求，传统到达时间差（time difference of arrival, TDOA）定位算法应用于分布式平台时面临两大瓶颈分别为跨节点传输原始信号导致的高带宽开销，由于计算到达时间差需要跨节点传输原始信号进行互相关处理，在接收节点数量众多的情况下会造成很高的通信负载和时钟同步误差制约定位精度，到达时间差包含了不同接收节点之间的时钟同步误差，而提高同步时钟精度会大幅增加硬件成本。针对上述问题，提出了一种面向时分组网系统的差分到达时间差(differential time difference of arrival, DTDOA)定位算法，首先在节点内计算不同辐射源到本节点的差分到达时间（differential time of arrival, DTOA），然后在节点间根据差分到达时间差建立观测方程，最后采用带阻尼因子的高斯-牛顿迭代法解算目标位置。试验表明，算法通过差分观测结构消除了时钟同步误差，克拉美罗下界（Cramer-Rao lower bound, CRLB）仅与相关计算误差有关，并且规避了节点间传输原始信号的过程，大大降低了网络带宽开销。 |
| 英文摘要: |
| To address passive reconnaissance requirements in distributed detection scenarios such as drone swarms, traditional time difference of arrival (TDOA) localization faces two fundamental challenges. Firstly, high bandwidth consumption from cross-node raw signal transmission for correlation calculations. Secondly, clock synchronization constraints that inherently limit positioning accuracy. The TDOA measurements include clock synchronization errors among different receiving nodes, and improving synchronization precision would significantly increase costs. To address these issues, a differential time difference of arrival (DTDOA) localization algorithm is proposed for time-division ad hoc networks. The method first calculates the differential time of arrival from different radiation sources to the local node within each node. Then, observation equations are established across nodes based on the differential time difference of arrival. Finally, the target position is solved using a damped Gauss-Newton iteration method. Experiments demonstrate that the proposed algorithm eliminates clock synchronization errors through a differential observation structure, and its Cram-r-Rao lower bound depends solely on correlation calculation errors. Furthermore, it avoids the process of transmitting raw signals between nodes, significantly reducing network bandwidth overhead. |
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