Identification of Pedestrian and Bicyclist through Range Micro Doppler Signatures

Yangyu FAN; Rui DU; Jianshu WANG

doi:10.1587/transinf.2017EDL8192

Identification of Pedestrian and Bicyclist through Range Micro Doppler Signatures

Yangyu FAN, Rui DU, Jianshu WANG

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Summary :

Identification of urban road targets using radar systems is usually heavily dependent on the aspect angle between the target velocity and line of sight of the radar. To improve the performance of the classification result when the target is in a cross range position relative to the radar, a method based on range micro Doppler signature is proposed in this paper. Joint time-frequency analysis is applied in every range cell to extract the time Doppler signature. The spectrograms from all of the target range cells are combined to form the range micro Doppler signature to allow further identification. Experiments were conducted to investigate the performance of the proposed method, and the results proved the effectiveness of the method presented.

Publication: IEICE TRANSACTIONS on Information Vol.E101-D No.2 pp.552-555

Publication Date: 2018/02/01

Publicized: 2017/11/07

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2017EDL8192

Type of Manuscript: LETTER

Category: Pattern Recognition

Authors

Yangyu FAN
  Northwestern Polytechnical University
Rui DU
  Northwestern Polytechnical University
Jianshu WANG
  Northwestern Polytechnical University

Keyword

urban road target, identification, range micro Doppler signature

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Yangyu FAN, Rui DU, Jianshu WANG, "Identification of Pedestrian and Bicyclist through Range Micro Doppler Signatures" in IEICE TRANSACTIONS on Information, vol. E101-D, no. 2, pp. 552-555, February 2018, doi: 10.1587/transinf.2017EDL8192.
Abstract: Identification of urban road targets using radar systems is usually heavily dependent on the aspect angle between the target velocity and line of sight of the radar. To improve the performance of the classification result when the target is in a cross range position relative to the radar, a method based on range micro Doppler signature is proposed in this paper. Joint time-frequency analysis is applied in every range cell to extract the time Doppler signature. The spectrograms from all of the target range cells are combined to form the range micro Doppler signature to allow further identification. Experiments were conducted to investigate the performance of the proposed method, and the results proved the effectiveness of the method presented.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017EDL8192/_p

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@ARTICLE{e101-d_2_552,
author={Yangyu FAN, Rui DU, Jianshu WANG, },
journal={IEICE TRANSACTIONS on Information},
title={Identification of Pedestrian and Bicyclist through Range Micro Doppler Signatures},
year={2018},
volume={E101-D},
number={2},
pages={552-555},
abstract={Identification of urban road targets using radar systems is usually heavily dependent on the aspect angle between the target velocity and line of sight of the radar. To improve the performance of the classification result when the target is in a cross range position relative to the radar, a method based on range micro Doppler signature is proposed in this paper. Joint time-frequency analysis is applied in every range cell to extract the time Doppler signature. The spectrograms from all of the target range cells are combined to form the range micro Doppler signature to allow further identification. Experiments were conducted to investigate the performance of the proposed method, and the results proved the effectiveness of the method presented.},
keywords={},
doi={10.1587/transinf.2017EDL8192},
ISSN={1745-1361},
month={February},}

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TY - JOUR
TI - Identification of Pedestrian and Bicyclist through Range Micro Doppler Signatures
T2 - IEICE TRANSACTIONS on Information
SP - 552
EP - 555
AU - Yangyu FAN
AU - Rui DU
AU - Jianshu WANG
PY - 2018
DO - 10.1587/transinf.2017EDL8192
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2018
AB - Identification of urban road targets using radar systems is usually heavily dependent on the aspect angle between the target velocity and line of sight of the radar. To improve the performance of the classification result when the target is in a cross range position relative to the radar, a method based on range micro Doppler signature is proposed in this paper. Joint time-frequency analysis is applied in every range cell to extract the time Doppler signature. The spectrograms from all of the target range cells are combined to form the range micro Doppler signature to allow further identification. Experiments were conducted to investigate the performance of the proposed method, and the results proved the effectiveness of the method presented.
ER -