Geolocation of multiple noncooperative transmitters using array processing

使用阵列处理对多个非合作发射机进行地理定位

• 批准号: 534556-2018
• 负责人: Roy, Sébastien
• 金额: $ 0.79万
• 依托单位: Université de Sherbrooke
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=663845
• 关键词: Geolocation; multiple; noncooperative; transmitters; using

In phase 1 of this research endeavor (original Engage grant) the research problem was reformulated as the**simultaneous geolocation of multiple noncooperative transmitters existing in the same frequency band. This**functionality is pursued both in terms of devising appropriate and robust algorithms, and developing associated**hardware implementations to be validated on a hardware testbed according to a software-defined radio (SDR)**methodology. The plurality of transmitters requires the acquisition stations (at least 2-3 of them being required**for triangulating positions) to be equipped with antenna arrays. In order to implement this functionality in a**manner that is practical and robust in a multipath-rich propagation environment with modest antenna array**sizes (4-8 elements), a two-step process was proposed in phase 1 and validated in simulation consisting of 1-**applying a blind source separation (BSS) algorithm to extract the spatial signature of every transmitter and 2-**estimating the main direction of arrival (DOA) - presumably corresponding to the line of sight - from each**spatial signature. Given a DOA estimate from each acquisition station, triangulating a position becomes trivial.**In this proposed second phase, development of the two-step approach and its variants will continue in**simulation, and an efficient hardware architecture will be derived for the BSS algorithm in the first step.**Furthermore, another novel and simpler approach will be explored which utilizes the same BSS algorithm as a**first step, but does away with DOA estimation altogether, thus not requiring array calibration or a specific array**topology. Within the scope of phase 2, this second approach will be entirely implemented in hardware and**validated on the test bed.

在这项研究奋进的第一阶段（原始Engage补助金），研究问题被重新表述为存在于同一频带中的多个非合作发射机的同时地理定位。这种 ** 功能的追求既包括设计适当和强大的算法，也包括开发相关的 ** 硬件实现，以便根据软件定义无线电（SDR）** 方法在硬件测试平台上进行验证。多个发射机要求采集站（其中至少2-3个需要 ** 用于三角测量位置）配备有天线阵列。为了在具有适度天线阵列 ** 尺寸的多径丰富传播环境中以实用且稳健的 ** 方式实现此功能，（4-8个元素），在第一阶段提出了一个两步过程，并在仿真中得到了验证，该过程包括：1-** 应用盲源分离（BSS）算法来提取每个发射机的空间特征; 2-** 估计主要到达方向（DOA）-大概对应于视线-来自每个 ** 空间签名。给定来自每个采集站的DOA估计，三角测量位置变得微不足道。**在这个提议的第二阶段中，两步方法及其变体的开发将在 ** 仿真中继续进行，并且在第一步中将为BSS算法导出一个有效的硬件架构。此外，将探索另一种新颖且更简单的方法，其利用相同的BSS算法作为第一步骤，但完全不需要DOA估计，因此不需要阵列校准或特定的阵列拓扑。在第2阶段的范围内，第二种方法将完全在硬件中实现，并在测试台上进行验证。