Detection of moving human micro-Doppler signature in forest environments with swaying tree components by wind

Author:

Kilic Ozlem1,Garcia-Rubia Jose M.1,Tran Nghia1,Dang Vinh1,Nguyen Quang1

Affiliation:

1. Electrical Engineering and Computer Science Department; Catholic University of America; Washington District of Columbia USA

Publisher

American Geophysical Union (AGU)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Condensed Matter Physics

Reference44 articles.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On Modeling Antennas Using MoM-Based Algorithms: Wire-Grid versus Surface Triangulation;Algorithms;2023-04-07

2. Time‐frequency characterisation of bistatic Doppler signature of a wooded area walk at L‐band;IET Radar, Sonar & Navigation;2021-06-18

3. Range-Max Enhanced Ultra-Wideband Micro-Doppler Signatures of Behind-the-Wall Indoor Human Motions;IEEE Transactions on Geoscience and Remote Sensing;2021

4. Characterization of the Walking Activity Within the Forest by Using a Doppler Analysis in the UHF-Band;IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium;2020-09-26

5. Noncontact Human Gait Analysis and Limb Joint Tracking Using Doppler Radar;IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology;2019-03

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