Dr. David Tahmoush
at MITRE Corp
SPIE Involvement:
Conference Program Committee | Author | Instructor
Publications (32)

Proceedings Article | 14 June 2023 Poster + Paper
Kenneth Witham, Connor Robb, Dave Tahmoush
Proceedings Volume 12549, 125490T (2023) https://doi.org/10.1117/12.2666271
KEYWORDS: Machine learning, Neural networks, Feature extraction, Autoregressive models

Proceedings Article | 14 June 2023 Poster + Paper
Dave Tahmoush, Ken Witham
Proceedings Volume 12535, 125350W (2023) https://doi.org/10.1117/12.2666269
KEYWORDS: Unmanned aerial vehicles, Doppler effect, Radar, Windows, Feature extraction, Fourier transforms, Action recognition, Radar signal processing

Proceedings Article | 14 June 2023 Poster + Paper
Proceedings Volume 12535, 125350X (2023) https://doi.org/10.1117/12.2666281
KEYWORDS: Unmanned aerial vehicles, Radar, Decision trees, Feature extraction

Proceedings Article | 12 April 2021 Presentation + Paper
Proceedings Volume 11742, 1174215 (2021) https://doi.org/10.1117/12.2587214
KEYWORDS: Unmanned aerial vehicles, Radar, Optical simulations, Doppler effect, Beam analyzers

Proceedings Article | 12 May 2016 Paper
David Tahmoush, Claire Bonial
Proceedings Volume 9844, 98440U (2016) https://doi.org/10.1117/12.2228335
KEYWORDS: Video, Computer vision technology, Machine vision, Argon, Pattern recognition, Databases, Data modeling, RGB color model, Head, Feature extraction

Showing 5 of 32 publications
Conference Committee Involvement (16)
Radar Sensor Technology XXIX
13 April 2025 | Orlando, Florida, United States
Radar Sensor Technology XXVIII
22 April 2024 | National Harbor, Maryland, United States
Radar Sensor Technology XXVII
1 May 2023 | Orlando, Florida, United States
Radar Sensor Technology XXVI
4 April 2022 | Orlando, Florida, United States
Radar Sensor Technology XXV
12 April 2021 | Online Only, Florida, United States
Showing 5 of 16 Conference Committees
Course Instructor
SC1031: Radar Micro-Doppler Signatures - Principles and Applications
This course explains basic principles and applications of the micro-Doppler signatures of radar targets. A micro-Doppler signature is a distinctive characteristic of the intricate frequency modulations generated from each component part of a target and is represented in the joint time and Doppler frequency domain. Micro-Doppler signatures provide unique target features that are complementary to those made available by existing methods. The primary goals of the course are to describe the radar micro-Doppler effect, the mathematical and dynamic models of targets with various motions and the analysis of micro-Doppler signatures. The course will present current applications of radar micro-Doppler signature analysis to target detection, characterization, and classification. Radar data returned from rigid body motion and non-rigid body motion will be used in the presentation examples as well as simulations. Examples are shown from state-of-the-art radars in both anechoic chambers and realistic environments.
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