A novel approach of radar noise removal via sensor fusion and neural networks

Yao, Ruihao

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https://hdl.handle.net/2142/107251 Copy

Description

Title

A novel approach of radar noise removal via sensor fusion and neural networks

Author(s)

Yao, Ruihao

Contributor(s)

Patel, Sanjay

Issue Date

2020-05

Keyword(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.

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/107251

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