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Title:A novel approach of radar noise removal via sensor fusion and neural networks
Author(s):Yao, Ruihao
Contributor(s):Patel, Sanjay
Subject(s):Millimeter-Wave
Imaging Radar
Noise Removal
Kalman Filter
Sensor Fusion
Abstract:Millimeter-Wave (mmWave) radar sensors are getting more popular for their increasing sensing capabilities especially in automotive fields. However, no matter how ideal the radar signal processing stack is, radar still suffers from internal and external noises which degrades its potential sensing solutions. There are certainly many traditional approaches to reduce radar noises like matched filter, but this paper will present a novel approach of noise removal via sensor fusion and artificial neural networks.
Issue Date:2020-05
Genre:Other
Type:Text
Language:English
URI:http://hdl.handle.net/2142/107251
Date Available in IDEALS:2020-06-11


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