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Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars
In automotive radar systems, a limited number of antenna elements are used to estimate the angle of the target. Therefore, array interpolation techniques can be used for direction of arrival (DOA) estimation to achieve high angular resolution. In general, to generate interpolated array elements from...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566708/ https://www.ncbi.nlm.nih.gov/pubmed/31137796 http://dx.doi.org/10.3390/s19102410 |
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author | Lee, Seongwook Kim, Seong-Cheol |
author_facet | Lee, Seongwook Kim, Seong-Cheol |
author_sort | Lee, Seongwook |
collection | PubMed |
description | In automotive radar systems, a limited number of antenna elements are used to estimate the angle of the target. Therefore, array interpolation techniques can be used for direction of arrival (DOA) estimation to achieve high angular resolution. In general, to generate interpolated array elements from original array elements, the method of linear least squares (LLS) is used. When the LLS method is used, the amplitudes of the interpolated array elements may not be equivalent to those of the original array elements. In addition, through the transformation matrix obtained from the LLS method, the phases of the interpolated array elements are not precisely generated. Therefore, we propose an array transformation matrix that generates accurate phases for interpolated array elements to improve DOA estimation performance, while maintaining constant amplitudes of the array elements. Moreover, to enhance the effect of our interpolation method, a power calibration method for interpolated received signals is also proposed. Through the simulation, we confirm that the array interpolation accuracy and DOA estimation performance of the proposed method are improved compared to those of the conventional method. Moreover, the performance and effectiveness of our proposed method are also verified using data obtained from the commercial radar system. Because the proposed method exhibits better performance when applied to actual measurement data, it can be utilized in commercial automotive radar systems. |
format | Online Article Text |
id | pubmed-6566708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65667082019-06-17 Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars Lee, Seongwook Kim, Seong-Cheol Sensors (Basel) Article In automotive radar systems, a limited number of antenna elements are used to estimate the angle of the target. Therefore, array interpolation techniques can be used for direction of arrival (DOA) estimation to achieve high angular resolution. In general, to generate interpolated array elements from original array elements, the method of linear least squares (LLS) is used. When the LLS method is used, the amplitudes of the interpolated array elements may not be equivalent to those of the original array elements. In addition, through the transformation matrix obtained from the LLS method, the phases of the interpolated array elements are not precisely generated. Therefore, we propose an array transformation matrix that generates accurate phases for interpolated array elements to improve DOA estimation performance, while maintaining constant amplitudes of the array elements. Moreover, to enhance the effect of our interpolation method, a power calibration method for interpolated received signals is also proposed. Through the simulation, we confirm that the array interpolation accuracy and DOA estimation performance of the proposed method are improved compared to those of the conventional method. Moreover, the performance and effectiveness of our proposed method are also verified using data obtained from the commercial radar system. Because the proposed method exhibits better performance when applied to actual measurement data, it can be utilized in commercial automotive radar systems. MDPI 2019-05-27 /pmc/articles/PMC6566708/ /pubmed/31137796 http://dx.doi.org/10.3390/s19102410 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lee, Seongwook Kim, Seong-Cheol Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars |
title | Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars |
title_full | Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars |
title_fullStr | Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars |
title_full_unstemmed | Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars |
title_short | Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars |
title_sort | logarithmic-domain array interpolation for improved direction of arrival estimation in automotive radars |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566708/ https://www.ncbi.nlm.nih.gov/pubmed/31137796 http://dx.doi.org/10.3390/s19102410 |
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