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2023 | OriginalPaper | Chapter

EDGE-Based ML in W-Band Target Micro-Doppler Feature Extraction

Authors : K. V. Abhishek Neelakandan, G. A. Shanmugha Sundaram

Published in: International Symposium on Intelligent Informatics

Publisher: Springer Nature Singapore

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Abstract

Artificial intelligence is making a huge impact in terms of accuracy, robustness, and real-time capabilities in advanced driver assist systems. The conventional RaDaR systems using routine signal processing (SP) techniques are not able to meet such high requirements when it comes to the classification of the target’s intent. Here a strategy that combines SP and machine learning (ML) techniques to detect dynamic changes in target morphologies with the help of micro-Doppler (MD) signatures is proposed. The target’s MD signatures are used to create target libraries, which will be further used to train the ML model for accurate classification of the target’s intent. Finally, the overall raw data generated is implemented on an edge computing platform aimed at a future deployment of the ML model in field-deployed computing devices.

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Metadata
Title
EDGE-Based ML in W-Band Target Micro-Doppler Feature Extraction
Authors
K. V. Abhishek Neelakandan
G. A. Shanmugha Sundaram
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
International Symposium on Intelligent Informatics

Print ISBN: 978-981-19-8093-0

Electronic ISBN: 978-981-19-8094-7

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-8094-7_30