Contribution to Drone Detection by Exploiting Parameter Estimation for a Prototype mm-Wave Radar System
Contribution to Drone Detection by Exploiting Parameter Estimation for a Prototype mm-Wave Radar System
复制标题
利用原型毫米波雷达系统的参数估计对无人机检测做出贡献
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Jan Goerlich
中科院分区：
文献类型：
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作者：
S. Hafner;Matthias Röding;G. Sommerkorn;R. Müller;R. Thomä;G. D. Galdo;Jan Goerlich
提出了一种从雷达测量值中推断参数的估计器，可用于无人机系统的进一步检测和定位。参数估计的问题作为一个逆问题，需要一个模型的测量数据。基于数据模型，最大似然为基础的目标函数。目标函数最小化的框架类似于RIMAX框架，包括联合参数和模型阶估计。一个SIMO雷达系统，并采用测试和演示的估计能力，在模拟以及测试测量飞行的无人机。
An estimator to infer parameters from radar measurements is presented, applicable for further detection and localisation of unmanned aircraft systems. The problem of parameter estimation is presented as an inverse problem, necessitating a model of the measurement data. Based on the data model, a maximum-likelihood based objective function is derived. The objective function is minimised by a framework similar to the RIMAX framework, including joint parameter and model order estimation. A SIMO radar system is presented and employed to test and demonstrate the estimators capability in simulations as well as test measurements with flying UASs.