Mutual Interference Suppression and Signal Restoration in Automotive FMCW Radar Systems

This paper presents an interference suppression and signal restoration technique that can create the clean signals required by automotive frequency-modulated continuous wave radar systems. When a radar signal from another radar system interferes with own transmitted radar signal, the target detectio...

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Veröffentlicht in:IEICE Transactions on Communications 2019/06/01, Vol.E102.B(6), pp.1198-1208
Hauptverfasser: LIM, Sohee, LEE, Seongwook, CHOI, Jung-Hwan, YOON, Jungmin, KIM, Seong-Cheol
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container_end_page 1208
container_issue 6
container_start_page 1198
container_title IEICE Transactions on Communications
container_volume E102.B
creator LIM, Sohee
LEE, Seongwook
CHOI, Jung-Hwan
YOON, Jungmin
KIM, Seong-Cheol
description This paper presents an interference suppression and signal restoration technique that can create the clean signals required by automotive frequency-modulated continuous wave radar systems. When a radar signal from another radar system interferes with own transmitted radar signal, the target detection performance is degraded. This is because the beat frequency corresponding to the target cannot be estimated owing to the increase in the noise floor. In this case, advanced weighted-envelope normalization or wavelet denoising can be used to mitigate the effect of the interference; however, these methods can also lead to the loss of the desired signal containing the range and velocity information of the target. Therefore, we propose a method based on an autoregressive model to restore a signal damaged by mutual interference. The method uses signals that are not influenced by the interference to restore the signal. In experiments conducted using two different automotive radar systems, our proposed method is demonstrated to effectively suppress the interference and restore the desired signal. As a result, the noise floor resulting from the mutual interference was lowered and the beat frequency corresponding to the desired target was accurately estimated.
doi_str_mv 10.1587/transcom.2018EBP3175
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1745-1345
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source Alma/SFX Local Collection
subjects Automotive radar
automotive radars
Autoregressive models
Beat frequencies
Continuous wave radar
Floors
frequency modulated continuous wave (FMCW)
Interference
Military communications
mutual interference suppression
Noise reduction
Performance degradation
Radar detection
Radar equipment
Radar systems
Restoration
signal restoration
System effectiveness
Target detection
Wavelet analysis
title Mutual Interference Suppression and Signal Restoration in Automotive FMCW Radar Systems
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