Examination of Drone Micro-Doppler and JEM/HERM Signatures
Examination of Drone Micro-Doppler and JEM/HERM Signatures
复制标题
无人机微多普勒和 JEM/HERM 特征检查
DOI：
10.1109/radarconf2043947.2020.9266342
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
A. Balleri
中科院分区：
文献类型：
--
作者：
John Markow;A. Balleri
监测小目标的雷达通常必须增加其积分时间，以获得足够的信噪比（SNR）来保持可行的航迹。这些较长的积分时间可能会阻止微多普勒特征提取，而是导致多普勒特征由雷达的更高级别处理的谱线组成。雷达工作在微多普勒还是谱线状态取决于雷达参数（例如波形、波长和积分时间）以及目标参数（例如转子长度、旋转频率、目标反射率和几何形状）。此外，了解这些制度之间的过渡区可以进一步帮助目标识别算法。本文使用建模，模拟和实验数据，以完善理解一个特定的雷达将如何观察目标多普勒特征，在这些制度，突出两者之间的过渡区域。
Radars monitoring small targets often must increase their integration times to achieve sufficient signal-to-noise ratio (SNR) for maintaining a viable track. These longer integation times can prevent micro-Doppler signature extraction and instead result in Doppler signatures consisting of spectral lines to the radar's higher-level processing. Whether the radar operates in the micro-Doppler or spectral line regime depends on both radar parameters (e.g. waveforms, wavelengths and integration times) as well as target parameters (e.g. rotor length, rotational frequency, target reflectivity and geometry). Additionally, understanding the transition region between these regimes can further aid target recognition algorithms. This paper uses modelling, simulations and experimental data to refine the understanding of how a particular radar will observe a target Doppler signature in either of these regimes, highlighting the transition region between the two.
影响因子：
1.7
作者：
Balleri, A.;Chetty, K.;Woodbridge, K.
通讯作者：
Woodbridge, K.