Angle estimation using mmWave RSS measurements with enhanced multipath information
(2024) 2024 IEEE Wireless Communications and Networking Conference- Abstract
- mmWave communication has come up as the unexplored spectrum for 5G services. With new standards for 5G NR positioning, more off-the-shelf platforms and algorithms are needed to perform indoor positioning. An object can be accurately positioned in a room either by using an angle and a delay estimate or two angle estimates or three delay estimates. We propose an algorithm to jointly estimate the angle of arrival (AoA) and angle of departure (AoD), based only on the received signal strength (RSS). We use mm-FLEX, an experimentation platform developed by IMDEA Networks Institute that can perform real-time signal processing for experimental validation of our proposed algorithm. Codebook-based beampatterns are used with a uniquely placed... (More)
- mmWave communication has come up as the unexplored spectrum for 5G services. With new standards for 5G NR positioning, more off-the-shelf platforms and algorithms are needed to perform indoor positioning. An object can be accurately positioned in a room either by using an angle and a delay estimate or two angle estimates or three delay estimates. We propose an algorithm to jointly estimate the angle of arrival (AoA) and angle of departure (AoD), based only on the received signal strength (RSS). We use mm-FLEX, an experimentation platform developed by IMDEA Networks Institute that can perform real-time signal processing for experimental validation of our proposed algorithm. Codebook-based beampatterns are used with a uniquely placed multi-antenna array setup to enhance the reception of multipath components and we obtain an AoA estimate per receiver thereby overcoming the line-of-sight (LoS) limitation of RSS-based localization systems. We further validate the results from measurements by emulating the setup with a simple ray-tracing approach. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/70d7d13d-e983-47ea-af54-397a5bbe2315
- author
- Valecha, Neharika
LU
; Lacruz, Jesus O.
; Lentmaier, Michael
LU
; Widmer, Joerg
and Tufvesson, Fredrik
LU
- organization
- publishing date
- 2024-04
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- in press
- subject
- keywords
- mmWave, MPC, RSS, Angle estimation
- host publication
- 2024 IEEE Wireless Communications and Networking Conference
- editor
- Valecha, Neharika ; Lacruz, Jesus Omar ; Lentmaier, Michael ; Widmer, Joerg and Tufvesson, Fredrik
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2024 IEEE Wireless Communications and Networking Conference
- conference location
- Dubai, United Arab Emirates
- conference dates
- 2024-04-21 - 2024-04-24
- language
- English
- LU publication?
- yes
- id
- 70d7d13d-e983-47ea-af54-397a5bbe2315
- date added to LUP
- 2024-02-22 15:14:06
- date last changed
- 2024-03-14 13:55:13
@inproceedings{70d7d13d-e983-47ea-af54-397a5bbe2315, abstract = {{mmWave communication has come up as the unexplored spectrum for 5G services. With new standards for 5G NR positioning, more off-the-shelf platforms and algorithms are needed to perform indoor positioning. An object can be accurately positioned in a room either by using an angle and a delay estimate or two angle estimates or three delay estimates. We propose an algorithm to jointly estimate the angle of arrival (AoA) and angle of departure (AoD), based only on the received signal strength (RSS). We use mm-FLEX, an experimentation platform developed by IMDEA Networks Institute that can perform real-time signal processing for experimental validation of our proposed algorithm. Codebook-based beampatterns are used with a uniquely placed multi-antenna array setup to enhance the reception of multipath components and we obtain an AoA estimate per receiver thereby overcoming the line-of-sight (LoS) limitation of RSS-based localization systems. We further validate the results from measurements by emulating the setup with a simple ray-tracing approach.}}, author = {{Valecha, Neharika and Lacruz, Jesus O. and Lentmaier, Michael and Widmer, Joerg and Tufvesson, Fredrik}}, booktitle = {{2024 IEEE Wireless Communications and Networking Conference}}, editor = {{Valecha, Neharika and Lacruz, Jesus Omar and Lentmaier, Michael and Widmer, Joerg and Tufvesson, Fredrik}}, keywords = {{mmWave; MPC; RSS; Angle estimation}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Angle estimation using mmWave RSS measurements with enhanced multipath information}}, url = {{https://lup.lub.lu.se/search/files/172527993/WCNC_2024_camera_ready.pdf}}, year = {{2024}}, }