A Flexible Matrix Structure for Superresolution Delay Estimation
Li Z, Nimr A, Schulz P, Fettweis G (2023)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2023
Publisher: IEEE
Conference Proceedings Title: IEEE ICC 2023 2nd Workshop on Synergies of communication, localization, and sensing towards 6G
Event location: Rome, Italy
URI: https://ieeexplore.ieee.org/abstract/document/10283645
DOI: 10.1109/ICCWorkshops57953.2023.10283645
Abstract
High-resolution and accurate path delay estimation (PDE) is a prerequisite for channel impulse response (CIR)-based localization. Several superresolution path delay estimation (SPDE) algorithms are proposed to provide precise path delay estimates while utilizing limited bandwidth. Moreover, multi-band SPDE enables the combination of frequency resources on non-consecutive bands. However, such combination may result in a hidden ambiguity problem related to the matrix structure and the underlying channel. In this paper, we propose a flexible PDE matrix structure that clearly identify the ambiguity. Conse-quently, the ambiguous estimates can be mitigated, benefiting from this flexibility. In addition, we provide examples and performance evaluations showing the impact of ambiguity on the performance and the corresponding solution.
Authors with CRIS profile
Involved external institutions
Germany (DE)How to cite
APA:
Li, Z., Nimr, A., Schulz, P., & Fettweis, G. (2023). A Flexible Matrix Structure for Superresolution Delay Estimation. In IEEE ICC 2023 2nd Workshop on Synergies of communication, localization, and sensing towards 6G. Rome, Italy, IT: IEEE.
MLA:
Li, Zhongju, et al. "A Flexible Matrix Structure for Superresolution Delay Estimation." Proceedings of the IEEE International Conference on Communications Workshops, ICC, Rome, Italy IEEE, 2023.
BibTeX: Download