The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kertas kerja ini membentangkan teknik penindasan gangguan dan pemulihan isyarat yang boleh mencipta isyarat bersih yang diperlukan oleh sistem radar gelombang berterusan termodulat frekuensi automotif. Apabila isyarat radar daripada sistem radar lain mengganggu isyarat radar yang dihantar sendiri, prestasi pengesanan sasaran akan menurun. Ini kerana kekerapan rentak yang sepadan dengan sasaran tidak boleh dianggarkan disebabkan oleh peningkatan lantai hingar. Dalam kes ini, normalisasi sampul surat berwajaran lanjutan atau penyahnoikan wavelet boleh digunakan untuk mengurangkan kesan gangguan; walau bagaimanapun, kaedah ini juga boleh menyebabkan kehilangan isyarat yang dikehendaki yang mengandungi maklumat julat dan halaju sasaran. Oleh itu, kami mencadangkan kaedah berdasarkan model autoregresif untuk memulihkan isyarat yang rosak akibat gangguan bersama. Kaedah ini menggunakan isyarat yang tidak dipengaruhi oleh gangguan untuk memulihkan isyarat. Dalam eksperimen yang dijalankan menggunakan dua sistem radar automotif yang berbeza, kaedah cadangan kami ditunjukkan untuk menyekat gangguan dengan berkesan dan memulihkan isyarat yang diingini. Akibatnya, tingkat hingar yang terhasil daripada gangguan bersama telah direndahkan dan kekerapan degupan sepadan dengan sasaran yang dikehendaki dianggarkan dengan tepat.
Sohee LIM
Seoul National University
Seongwook LEE
Samsung Advanced Institute of Technology (SAIT)
Jung-Hwan CHOI
Mando Corporation
Jungmin YOON
Seoul National University
Seong-Cheol KIM
Seoul National University
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Salinan
Sohee LIM, Seongwook LEE, Jung-Hwan CHOI, Jungmin YOON, Seong-Cheol KIM, "Mutual Interference Suppression and Signal Restoration in Automotive FMCW Radar Systems" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 6, pp. 1198-1208, June 2019, doi: 10.1587/transcom.2018EBP3175.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3175/_p
Salinan
@ARTICLE{e102-b_6_1198,
author={Sohee LIM, Seongwook LEE, Jung-Hwan CHOI, Jungmin YOON, Seong-Cheol KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Mutual Interference Suppression and Signal Restoration in Automotive FMCW Radar Systems},
year={2019},
volume={E102-B},
number={6},
pages={1198-1208},
abstract={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.},
keywords={},
doi={10.1587/transcom.2018EBP3175},
ISSN={1745-1345},
month={June},}
Salinan
TY - JOUR
TI - Mutual Interference Suppression and Signal Restoration in Automotive FMCW Radar Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 1198
EP - 1208
AU - Sohee LIM
AU - Seongwook LEE
AU - Jung-Hwan CHOI
AU - Jungmin YOON
AU - Seong-Cheol KIM
PY - 2019
DO - 10.1587/transcom.2018EBP3175
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2019
AB - 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.
ER -