Enhancing Outdoor Moving Target Detection: Integrating Classical DSP with mmWave FMCW Radars in Dynamic Environments
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Published:2023-12-16
Issue:24
Volume:12
Page:5030
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ISSN:2079-9292
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Container-title:Electronics
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language:en
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Short-container-title:Electronics
Author:
Chowdhury Debjyoti1ORCID, Melige Nikhitha Vikram23ORCID, Pal Biplab23ORCID, Gangopadhyay Aryya23ORCID
Affiliation:
1. Heritage Institute of Technology, Kolkata 700107, India 2. Department of Information Systems, University of Maryland Baltimore County, Baltimore, MD 21250, USA 3. Center for Real-Time Distributed Sensing and Autonomy, University of Maryland Baltimore County, Baltimore, MD 21250, USA
Abstract
This paper introduces a computationally inexpensive technique for moving target detection in challenging outdoor environments using millimeter-wave (mmWave) frequency-modulated continuous-wave (FMCW) radars leveraging traditional signal processing methodologies. Conventional learning-based techniques for moving target detection suffer when there are variations in environmental conditions. Hence, the work described here leverages robust digital signal processing (DSP) methods, including wavelet transform, FIR filtering, and peak detection, to efficiently address variations in reflective data. The evaluation of this method is conducted in an outdoor environment, which includes obstructions like woods and trees, producing an accuracy score of 92.0% and precision of 91.5%. Notably, this approach outperforms deep learning methods when it comes to operating in changing environments that project extreme data variations.
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
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