We derive theoretical limits of estimation on the position and orientation of vehicles equipped with lens based arrays in cooperative Vehicle to Vehicle (V2V) scenario. Then, we analyze and compare its performance with conventional linear array. We determine a received signal of a lens-embedded antenna array and V2V geometric model, with which we next derive the Cramér-Rao lower bound (CRLB) on position and orientation estimation. We verify that a lens-based multiple-input multiple-output (MIMO) outperforms a conventional uniform linear array (ULA) in a certain constraint of a lens's structure.
|Title of host publication||APCC 2022 - 27th Asia-Pacific Conference on Communications|
|Subtitle of host publication||Creating Innovative Communication Technologies for Post-Pandemic Era|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2022|
|Event||27th Asia-Pacific Conference on Communications, APCC 2022 - Jeju Island, Korea, Republic of|
Duration: 2022 Oct 19 → 2022 Oct 21
|Name||APCC 2022 - 27th Asia-Pacific Conference on Communications: Creating Innovative Communication Technologies for Post-Pandemic Era|
|Conference||27th Asia-Pacific Conference on Communications, APCC 2022|
|Country/Territory||Korea, Republic of|
|Period||22/10/19 → 22/10/21|
Bibliographical noteFunding Information:
This research was a part of the project titled ’The advancement of smart aids to navigation facilities (20210636)’, funded by the Ministry of Oceans and Fisheries, Korea.
© 2022 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Hardware and Architecture
- Aerospace Engineering
- Automotive Engineering
- Control and Optimization