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 | Institute of Electrical and Electronic Engineers IEEE |
| 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 | |
| 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 |
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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. Institute of Electrical and Electronic Engineers IEEE, 2019. p. 730-735.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Angular resolution improvement by using multi-radar and FBSS MUSIC DoA estimation algorithm
AU - Paaso, Henna
AU - Hirvonen, Mervi
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.
UR - http://www.scopus.com/inward/record.url?scp=85072287125&partnerID=8YFLogxK
U2 - 10.1109/IVS.2019.8813780
DO - 10.1109/IVS.2019.8813780
M3 - Conference article in proceedings
SN - 978-1-7281-0561-1
SP - 730
EP - 735
BT - 2019 IEEE Intelligent Vehicles Symposium, IV 2019
PB - Institute of Electrical and Electronic Engineers IEEE
ER -