In millimeter wave (mmWave) systems, analog beam steering (i.e., direction of arrival (DOA) estimation) is an essential operation for subsequent channel estimations. In this paper, we propose a framework of incorporating a monopulse ratio (MR) concept, originally developed for radar systems, into an orthogonal frequency division multiplexing (OFDM) mmWave systems with cyclic prefix (CP) for DOA estimation. It is shown that CP can be used for DOA estimation in general OFDM mmWave systems by employing the MR concept. Based on performance analysis and simulation results, the proposed method can be considered as a practical and robust DOA estimation method for single RF chain analog beamforming systems.
|Title of host publication||9th International Conference on Information and Communication Technology Convergence|
|Subtitle of host publication||ICT Convergence Powered by Smart Intelligence, ICTC 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2018 Nov 16|
|Event||9th International Conference on Information and Communication Technology Convergence, ICTC 2018 - Jeju Island, Korea, Republic of|
Duration: 2018 Oct 17 → 2018 Oct 19
|Name||9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018|
|Other||9th International Conference on Information and Communication Technology Convergence, ICTC 2018|
|Country/Territory||Korea, Republic of|
|Period||18/10/17 → 18/10/19|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This research was supported by Institute of Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIP). (2015-0-00300, Multiple Access Technique with Ultra-Low Latency and High Efficiency for Tactile Internet Services in IoT Environments, and 2016-0-00208, High Accurate Positioning Enabled MIMO Transmission and Network Technologies for Next 5GV2X(vehicle-to-everything) Services).
© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Information Systems and Management
- Artificial Intelligence