Angular resolution improvement by using multi-radar and FBSS MUSIC DoA estimation algorithm

Henna Paaso; Mervi Hirvonen

doi:10.1109/IVS.2019.8813780

Angular resolution improvement by using multi-radar and FBSS MUSIC DoA estimation algorithm

BA191D Antennas and RF technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

74 Downloads (Pure)

Abstract

In this paper, our goal is to improve angular resolution of 77 GHz radar with eight receiver channel by using a multi-radar system and high-resolution direction-of-arrival (DoA) estimation algorithm. The theoretical and experimental results show that angular resolution can be improved 42.6 % with multi-radar system compared to a single radar system when two targets have exact the same distances from the radar. In this paper, we also show experimental studies for forward backward spatial smoothing (FBSS) multiple signal classification (MUSIC) DoA estimation algorithm. The algorithm is demonstrated in a real world indoor environment and the results of the estimated DoAs showed considerably good agreement with the predicted angles. By using this algorithm, angular resolution can be improved 40.8% compared to fast Fourier transform (FFT) beamforming (BF) algorithm.

Original language	English
Title of host publication	2019 IEEE Intelligent Vehicles Symposium, IV 2019
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	730-735
Number of pages	6
ISBN (Electronic)	978-1-7281-0560-4, 978-1-7281-0559-8
ISBN (Print)	978-1-7281-0561-1
DOIs	https://doi.org/10.1109/IVS.2019.8813780
Publication status	Published - Jun 2019
MoE publication type	A4 Article in a conference publication
Event	30th IEEE Intelligent Vehicles Symposium, IV 2019 - Paris, France Duration: 9 Jun 2019 → 12 Jun 2019

Conference

Conference	30th IEEE Intelligent Vehicles Symposium, IV 2019
Country	France
City	Paris
Period	9/06/19 → 12/06/19

Keywords

OtaNano

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10.1109/IVS.2019.8813780

Angular_resolution_improvementSubmitted manuscript, 3.88 MB

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title = "Angular resolution improvement by using multi-radar and FBSS MUSIC DoA estimation algorithm",

abstract = "In this paper, our goal is to improve angular resolution of 77 GHz radar with eight receiver channel by using a multi-radar system and high-resolution direction-of-arrival (DoA) estimation algorithm. The theoretical and experimental results show that angular resolution can be improved 42.6 % with multi-radar system compared to a single radar system when two targets have exact the same distances from the radar. In this paper, we also show experimental studies for forward backward spatial smoothing (FBSS) multiple signal classification (MUSIC) DoA estimation algorithm. The algorithm is demonstrated in a real world indoor environment and the results of the estimated DoAs showed considerably good agreement with the predicted angles. By using this algorithm, angular resolution can be improved 40.8% compared to fast Fourier transform (FFT) beamforming (BF) algorithm.",

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author = "Henna Paaso and Mervi Hirvonen",

note = "Funding Information: ACKNOWLEDGMENT We would like to express our great appreciation to the whole DENSE project (Grant Agreement number: 692449) consortium for valuable discussions on the designing of the weather robust radar for automotive use. The project has been co-funded by ECSEL Joint Undertaking and national funding agencies like Business Finland and the Federal Ministry of Education and Research in Germany. The work was also partly funded by the HISENS-project (310879) by Academy of Finland. Publisher Copyright: {\textcopyright} 2019 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 30th IEEE Intelligent Vehicles Symposium, IV 2019 ; Conference date: 09-06-2019 Through 12-06-2019",

year = "2019",

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doi = "10.1109/IVS.2019.8813780",

language = "English",

isbn = "978-1-7281-0561-1",

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booktitle = "2019 IEEE Intelligent Vehicles Symposium, IV 2019",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

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Angular resolution improvement by using multi-radar and FBSS MUSIC DoA estimation algorithm. / Paaso, Henna ; Hirvonen, Mervi.

2019 IEEE Intelligent Vehicles Symposium, IV 2019. IEEE Institute of Electrical and Electronic Engineers, 2019. p. 730-735.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Hirvonen, Mervi

N1 - Funding Information: ACKNOWLEDGMENT We would like to express our great appreciation to the whole DENSE project (Grant Agreement number: 692449) consortium for valuable discussions on the designing of the weather robust radar for automotive use. The project has been co-funded by ECSEL Joint Undertaking and national funding agencies like Business Finland and the Federal Ministry of Education and Research in Germany. The work was also partly funded by the HISENS-project (310879) by Academy of Finland. Publisher Copyright: © 2019 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2019/6

Y1 - 2019/6

N2 - In this paper, our goal is to improve angular resolution of 77 GHz radar with eight receiver channel by using a multi-radar system and high-resolution direction-of-arrival (DoA) estimation algorithm. The theoretical and experimental results show that angular resolution can be improved 42.6 % with multi-radar system compared to a single radar system when two targets have exact the same distances from the radar. In this paper, we also show experimental studies for forward backward spatial smoothing (FBSS) multiple signal classification (MUSIC) DoA estimation algorithm. The algorithm is demonstrated in a real world indoor environment and the results of the estimated DoAs showed considerably good agreement with the predicted angles. By using this algorithm, angular resolution can be improved 40.8% compared to fast Fourier transform (FFT) beamforming (BF) algorithm.

AB - In this paper, our goal is to improve angular resolution of 77 GHz radar with eight receiver channel by using a multi-radar system and high-resolution direction-of-arrival (DoA) estimation algorithm. The theoretical and experimental results show that angular resolution can be improved 42.6 % with multi-radar system compared to a single radar system when two targets have exact the same distances from the radar. In this paper, we also show experimental studies for forward backward spatial smoothing (FBSS) multiple signal classification (MUSIC) DoA estimation algorithm. The algorithm is demonstrated in a real world indoor environment and the results of the estimated DoAs showed considerably good agreement with the predicted angles. By using this algorithm, angular resolution can be improved 40.8% compared to fast Fourier transform (FFT) beamforming (BF) algorithm.

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ER -

Angular resolution improvement by using multi-radar and FBSS MUSIC DoA estimation algorithm

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