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 |
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| Title of host publication | 2019 IEEE Intelligent Vehicles Symposium, IV 2019 |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 730-735 |
| 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 |
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| Country/Territory | France |
| City | Paris |
| Period | 9/06/19 → 12/06/19 |
Funding
This work has been performed in the framework of the H2020-ECSEL-2015 Project DENSE and HISENS project by Academy of Finland. 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.
Keywords
- OtaNano