Clutter Suppression Method of Iron Tunnel Using Cepstral Analysis for Automotive Radars

Han-Byul LEE; Jae-Eun LEE; Hae-Seung LIM; Seong-Hee JEONG; Seong-Cheol KIM

doi:10.1587/transcom.2016EBP3135

Clutter Suppression Method of Iron Tunnel Using Cepstral Analysis for Automotive Radars

Han-Byul LEE, Jae-Eun LEE, Hae-Seung LIM, Seong-Hee JEONG, Seong-Cheol KIM

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In this paper, we propose an efficient clutter suppression algorithm for automotive radar systems in iron-tunnel environments. In general, the clutters in iron tunnels makes it highly likely that automotive radar systems will fail to detect targets. In order to overcome this drawback, we first analyze the cepstral characteristic of the iron tunnel clutter to determine the periodic properties of the clutters in the frequency domain. Based on this observation, we suggest for removing the periodic components induced by the clutters in iron tunnels in the cepstral domain by using the cepstrum editing process. To verify the clutter suppression of the proposed method experimentally, we performed measurements by using 77GHz frequency modulated continuous waveform radar sensors for an adaptive cruise control (ACC) system. Experimental results show that the proposed method is effective to suppress the clutters in iron-tunnel environments in the sense that it improves the early target detection performance for ACC significantly.

Publication: IEICE TRANSACTIONS on Communications Vol.E100-B No.2 pp.400-406

Publication Date: 2017/02/01

Publicized: 2016/08/17

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2016EBP3135

Type of Manuscript: PAPER

Category: Sensing

Authors

Han-Byul LEE
  Mando Corporation
Jae-Eun LEE
  Mando Corporation
Hae-Seung LIM
  Mando Corporation
Seong-Hee JEONG
  Mando Corporation
Seong-Cheol KIM
  Seoul National University

Keyword

automotive radar, iron-tunnel, clutter suppression, adaptive cruise control (ACC)

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Han-Byul LEE, Jae-Eun LEE, Hae-Seung LIM, Seong-Hee JEONG, Seong-Cheol KIM, "Clutter Suppression Method of Iron Tunnel Using Cepstral Analysis for Automotive Radars" in IEICE TRANSACTIONS on Communications, vol. E100-B, no. 2, pp. 400-406, February 2017, doi: 10.1587/transcom.2016EBP3135.
Abstract: In this paper, we propose an efficient clutter suppression algorithm for automotive radar systems in iron-tunnel environments. In general, the clutters in iron tunnels makes it highly likely that automotive radar systems will fail to detect targets. In order to overcome this drawback, we first analyze the cepstral characteristic of the iron tunnel clutter to determine the periodic properties of the clutters in the frequency domain. Based on this observation, we suggest for removing the periodic components induced by the clutters in iron tunnels in the cepstral domain by using the cepstrum editing process. To verify the clutter suppression of the proposed method experimentally, we performed measurements by using 77GHz frequency modulated continuous waveform radar sensors for an adaptive cruise control (ACC) system. Experimental results show that the proposed method is effective to suppress the clutters in iron-tunnel environments in the sense that it improves the early target detection performance for ACC significantly.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3135/_p

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@ARTICLE{e100-b_2_400,
author={Han-Byul LEE, Jae-Eun LEE, Hae-Seung LIM, Seong-Hee JEONG, Seong-Cheol KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Clutter Suppression Method of Iron Tunnel Using Cepstral Analysis for Automotive Radars},
year={2017},
volume={E100-B},
number={2},
pages={400-406},
abstract={In this paper, we propose an efficient clutter suppression algorithm for automotive radar systems in iron-tunnel environments. In general, the clutters in iron tunnels makes it highly likely that automotive radar systems will fail to detect targets. In order to overcome this drawback, we first analyze the cepstral characteristic of the iron tunnel clutter to determine the periodic properties of the clutters in the frequency domain. Based on this observation, we suggest for removing the periodic components induced by the clutters in iron tunnels in the cepstral domain by using the cepstrum editing process. To verify the clutter suppression of the proposed method experimentally, we performed measurements by using 77GHz frequency modulated continuous waveform radar sensors for an adaptive cruise control (ACC) system. Experimental results show that the proposed method is effective to suppress the clutters in iron-tunnel environments in the sense that it improves the early target detection performance for ACC significantly.},
keywords={},
doi={10.1587/transcom.2016EBP3135},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - Clutter Suppression Method of Iron Tunnel Using Cepstral Analysis for Automotive Radars
T2 - IEICE TRANSACTIONS on Communications
SP - 400
EP - 406
AU - Han-Byul LEE
AU - Jae-Eun LEE
AU - Hae-Seung LIM
AU - Seong-Hee JEONG
AU - Seong-Cheol KIM
PY - 2017
DO - 10.1587/transcom.2016EBP3135
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2017
AB - In this paper, we propose an efficient clutter suppression algorithm for automotive radar systems in iron-tunnel environments. In general, the clutters in iron tunnels makes it highly likely that automotive radar systems will fail to detect targets. In order to overcome this drawback, we first analyze the cepstral characteristic of the iron tunnel clutter to determine the periodic properties of the clutters in the frequency domain. Based on this observation, we suggest for removing the periodic components induced by the clutters in iron tunnels in the cepstral domain by using the cepstrum editing process. To verify the clutter suppression of the proposed method experimentally, we performed measurements by using 77GHz frequency modulated continuous waveform radar sensors for an adaptive cruise control (ACC) system. Experimental results show that the proposed method is effective to suppress the clutters in iron-tunnel environments in the sense that it improves the early target detection performance for ACC significantly.
ER -