IEICE TRANSACTIONS on Communications
Improving the Performance of DOA Estimation Using Virtual Antenna in Automotive Radar
Summary :
In this paper, the virtual antenna technique is applied to a single input multiple output (SIMO) radar system to enhance the performance of the conventional beamforming direction of arrival (DOA) estimation method. Combining the virtual array generated by the interpolated array technique and the real array, the angular resolution of the DOA estimation algorithm is improved owing to the extended number of antennas and aperture size. Based on the proposed interpolation technique, we transform the position of the antenna elements in a uniform linear array (ULA) to the arbitrary positions to suppress the grating lobe and side lobe levels. In simulations, the pseudo spectrum of the Bartlett algorithm and the root mean square error (RMSE) of the DOA estimation with the signal-to-noise ratio (SNR) are analyzed for the real array and the proposed virtually extended array. Simulation results show that the angular resolution of the proposed array is better than that of the real array using the same aperture size of array and the number of antennas. The proposed technique is verified with the practical data from commercialized radar system.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E100-B No.5 pp.771-778
- Publication Date
- 2017/05/01
- Publicized
- 2016/11/25
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2016EBP3368
- Type of Manuscript
- PAPER
- Category
- Antennas and Propagation
Authors
Seokhyun KANG
Seoul National University (SNU)
Seongwook LEE
Seoul National University (SNU)
Jae-Eun LEE
Mando Corporation
Seong-Cheol KIM
Seoul National University (SNU)
Keyword
Latest Issue
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Seokhyun KANG, Seongwook LEE, Jae-Eun LEE, Seong-Cheol KIM, "Improving the Performance of DOA Estimation Using Virtual Antenna in Automotive Radar" in IEICE TRANSACTIONS on Communications,
vol. E100-B, no. 5, pp. 771-778, May 2017, doi: 10.1587/transcom.2016EBP3368.
Abstract: In this paper, the virtual antenna technique is applied to a single input multiple output (SIMO) radar system to enhance the performance of the conventional beamforming direction of arrival (DOA) estimation method. Combining the virtual array generated by the interpolated array technique and the real array, the angular resolution of the DOA estimation algorithm is improved owing to the extended number of antennas and aperture size. Based on the proposed interpolation technique, we transform the position of the antenna elements in a uniform linear array (ULA) to the arbitrary positions to suppress the grating lobe and side lobe levels. In simulations, the pseudo spectrum of the Bartlett algorithm and the root mean square error (RMSE) of the DOA estimation with the signal-to-noise ratio (SNR) are analyzed for the real array and the proposed virtually extended array. Simulation results show that the angular resolution of the proposed array is better than that of the real array using the same aperture size of array and the number of antennas. The proposed technique is verified with the practical data from commercialized radar system.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3368/_p
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@ARTICLE{e100-b_5_771,
author={Seokhyun KANG, Seongwook LEE, Jae-Eun LEE, Seong-Cheol KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Improving the Performance of DOA Estimation Using Virtual Antenna in Automotive Radar},
year={2017},
volume={E100-B},
number={5},
pages={771-778},
abstract={In this paper, the virtual antenna technique is applied to a single input multiple output (SIMO) radar system to enhance the performance of the conventional beamforming direction of arrival (DOA) estimation method. Combining the virtual array generated by the interpolated array technique and the real array, the angular resolution of the DOA estimation algorithm is improved owing to the extended number of antennas and aperture size. Based on the proposed interpolation technique, we transform the position of the antenna elements in a uniform linear array (ULA) to the arbitrary positions to suppress the grating lobe and side lobe levels. In simulations, the pseudo spectrum of the Bartlett algorithm and the root mean square error (RMSE) of the DOA estimation with the signal-to-noise ratio (SNR) are analyzed for the real array and the proposed virtually extended array. Simulation results show that the angular resolution of the proposed array is better than that of the real array using the same aperture size of array and the number of antennas. The proposed technique is verified with the practical data from commercialized radar system.},
keywords={},
doi={10.1587/transcom.2016EBP3368},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Improving the Performance of DOA Estimation Using Virtual Antenna in Automotive Radar
T2 - IEICE TRANSACTIONS on Communications
SP - 771
EP - 778
AU - Seokhyun KANG
AU - Seongwook LEE
AU - Jae-Eun LEE
AU - Seong-Cheol KIM
PY - 2017
DO - 10.1587/transcom.2016EBP3368
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2017
AB - In this paper, the virtual antenna technique is applied to a single input multiple output (SIMO) radar system to enhance the performance of the conventional beamforming direction of arrival (DOA) estimation method. Combining the virtual array generated by the interpolated array technique and the real array, the angular resolution of the DOA estimation algorithm is improved owing to the extended number of antennas and aperture size. Based on the proposed interpolation technique, we transform the position of the antenna elements in a uniform linear array (ULA) to the arbitrary positions to suppress the grating lobe and side lobe levels. In simulations, the pseudo spectrum of the Bartlett algorithm and the root mean square error (RMSE) of the DOA estimation with the signal-to-noise ratio (SNR) are analyzed for the real array and the proposed virtually extended array. Simulation results show that the angular resolution of the proposed array is better than that of the real array using the same aperture size of array and the number of antennas. The proposed technique is verified with the practical data from commercialized radar system.
ER -
English
