Enhanced Performance of MUSIC Algorithm Using Spatial Interpolation in Automotive FMCW Radar Systems

Seongwook LEE; Young-Jun YOON; Seokhyun KANG; Jae-Eun LEE; Seong-Cheol KIM

doi:10.1587/transcom.2016EBP3457

Enhanced Performance of MUSIC Algorithm Using Spatial Interpolation in Automotive FMCW Radar Systems

Seongwook LEE, Young-Jun YOON, Seokhyun KANG, Jae-Eun LEE, Seong-Cheol KIM

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In this paper, we propose a received signal interpolation method for enhancing the performance of multiple signal classification (MUSIC) algorithm. In general, the performance of the conventional MUSIC algorithm is very sensitive to signal-to-noise ratio (SNR) of the received signal. When array elements receive the signals with nonuniform SNR values, the resolution performance is degraded compared to elements receiving the signals with uniform SNR values. Hence, we propose a signal calibration technique for improving the resolution of the algorithm. First, based on original signals, rough direction of arrival (DOA) estimation is conducted. In this stage, using frequency-domain received signals, SNR values of each antenna element in the array are estimated. Then, a deteriorated element that has a relatively lower SNR value than those of the other elements is selected by our proposed scheme. Next, the received signal of the selected element is spatially interpolated based on the signals received from the neighboring elements and the DOA information extracted from the rough estimation. Finally, fine DOA estimation is performed again with the calibrated signal. Simulation results show that the angular resolution of the proposed method is better than that of the conventional MUSIC algorithm. Also, we apply the proposed scheme to actual data measured in the testing ground, and it gives us more enhanced DOA estimation result.

Publication: IEICE TRANSACTIONS on Communications Vol.E101-B No.1 pp.163-175

Publication Date: 2018/01/01

Publicized: 2017/06/28

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2016EBP3457

Type of Manuscript: PAPER

Category: Antennas and Propagation

Authors

Seongwook LEE
  Seoul National University
Young-Jun YOON
  Seoul National University
Seokhyun KANG
  the Hyundai Mobis
Jae-Eun LEE
  the Mando Corporation
Seong-Cheol KIM
  Seoul National University

Keyword

automotive FMCW radar systems, MUSIC algorithm, SNR estimation, spatial interpolation

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Seongwook LEE, Young-Jun YOON, Seokhyun KANG, Jae-Eun LEE, Seong-Cheol KIM, "Enhanced Performance of MUSIC Algorithm Using Spatial Interpolation in Automotive FMCW Radar Systems" in IEICE TRANSACTIONS on Communications, vol. E101-B, no. 1, pp. 163-175, January 2018, doi: 10.1587/transcom.2016EBP3457.
Abstract: In this paper, we propose a received signal interpolation method for enhancing the performance of multiple signal classification (MUSIC) algorithm. In general, the performance of the conventional MUSIC algorithm is very sensitive to signal-to-noise ratio (SNR) of the received signal. When array elements receive the signals with nonuniform SNR values, the resolution performance is degraded compared to elements receiving the signals with uniform SNR values. Hence, we propose a signal calibration technique for improving the resolution of the algorithm. First, based on original signals, rough direction of arrival (DOA) estimation is conducted. In this stage, using frequency-domain received signals, SNR values of each antenna element in the array are estimated. Then, a deteriorated element that has a relatively lower SNR value than those of the other elements is selected by our proposed scheme. Next, the received signal of the selected element is spatially interpolated based on the signals received from the neighboring elements and the DOA information extracted from the rough estimation. Finally, fine DOA estimation is performed again with the calibrated signal. Simulation results show that the angular resolution of the proposed method is better than that of the conventional MUSIC algorithm. Also, we apply the proposed scheme to actual data measured in the testing ground, and it gives us more enhanced DOA estimation result.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3457/_p

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@ARTICLE{e101-b_1_163,
author={Seongwook LEE, Young-Jun YOON, Seokhyun KANG, Jae-Eun LEE, Seong-Cheol KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Enhanced Performance of MUSIC Algorithm Using Spatial Interpolation in Automotive FMCW Radar Systems},
year={2018},
volume={E101-B},
number={1},
pages={163-175},
abstract={In this paper, we propose a received signal interpolation method for enhancing the performance of multiple signal classification (MUSIC) algorithm. In general, the performance of the conventional MUSIC algorithm is very sensitive to signal-to-noise ratio (SNR) of the received signal. When array elements receive the signals with nonuniform SNR values, the resolution performance is degraded compared to elements receiving the signals with uniform SNR values. Hence, we propose a signal calibration technique for improving the resolution of the algorithm. First, based on original signals, rough direction of arrival (DOA) estimation is conducted. In this stage, using frequency-domain received signals, SNR values of each antenna element in the array are estimated. Then, a deteriorated element that has a relatively lower SNR value than those of the other elements is selected by our proposed scheme. Next, the received signal of the selected element is spatially interpolated based on the signals received from the neighboring elements and the DOA information extracted from the rough estimation. Finally, fine DOA estimation is performed again with the calibrated signal. Simulation results show that the angular resolution of the proposed method is better than that of the conventional MUSIC algorithm. Also, we apply the proposed scheme to actual data measured in the testing ground, and it gives us more enhanced DOA estimation result.},
keywords={},
doi={10.1587/transcom.2016EBP3457},
ISSN={1745-1345},
month={January},}

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TY - JOUR
TI - Enhanced Performance of MUSIC Algorithm Using Spatial Interpolation in Automotive FMCW Radar Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 163
EP - 175
AU - Seongwook LEE
AU - Young-Jun YOON
AU - Seokhyun KANG
AU - Jae-Eun LEE
AU - Seong-Cheol KIM
PY - 2018
DO - 10.1587/transcom.2016EBP3457
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2018
AB - In this paper, we propose a received signal interpolation method for enhancing the performance of multiple signal classification (MUSIC) algorithm. In general, the performance of the conventional MUSIC algorithm is very sensitive to signal-to-noise ratio (SNR) of the received signal. When array elements receive the signals with nonuniform SNR values, the resolution performance is degraded compared to elements receiving the signals with uniform SNR values. Hence, we propose a signal calibration technique for improving the resolution of the algorithm. First, based on original signals, rough direction of arrival (DOA) estimation is conducted. In this stage, using frequency-domain received signals, SNR values of each antenna element in the array are estimated. Then, a deteriorated element that has a relatively lower SNR value than those of the other elements is selected by our proposed scheme. Next, the received signal of the selected element is spatially interpolated based on the signals received from the neighboring elements and the DOA information extracted from the rough estimation. Finally, fine DOA estimation is performed again with the calibrated signal. Simulation results show that the angular resolution of the proposed method is better than that of the conventional MUSIC algorithm. Also, we apply the proposed scheme to actual data measured in the testing ground, and it gives us more enhanced DOA estimation result.
ER -