UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

ISAC Super-Resolution Receivers: The Effect of Different Dictionary Matrices

Valiulahi, I; Masouros, C; Petropulu, AP; (2025) ISAC Super-Resolution Receivers: The Effect of Different Dictionary Matrices. In: 2025 IEEE International Radar Conference (RADAR). (pp. pp. 1-6). IEEE: Atlanta, GA, USA. Green open access

[thumbnail of Conference_LANM.pdf]
Preview
PDF
Conference_LANM.pdf - Accepted Version

Download (553kB) | Preview

Abstract

This paper presents an off-the-grid estimator for ISAC systems using lifted atomic norm minimization (LANM). The main challenge in the ISAC systems is the unknown nature of both transmitted signals and radar-communication channels. We use a known dictionary to encode transmit signals and show that LANM can localize radar targets and decode communication symbols when the number of observations is proportional to the system's degrees of freedom and the coherence of the dictionary matrix. We reformulate LANM using a dual method and solve it with semidefinite relaxation (SDR) for different dictionary matrices to reduce the number of observations required at the receiver. Simulations demonstrate that the proposed LANM accurately estimates communication data and target parameters under varying complexity by selecting different dictionary matrices.

Type: Proceedings paper
Title: ISAC Super-Resolution Receivers: The Effect of Different Dictionary Matrices
Event: 2025 IEEE International Radar Conference (RADAR)
Dates: 3 May 2025 - 9 May 2025
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/RADAR52380.2025.11031966
Publisher version: https://doi.org/10.1109/radar52380.2025.11031966
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Dictionaries, Parameter estimation, Superresolution, Radar, Receivers, Integrated sensing and communication, Minimization, Complexity theory, Communication symbols, Signal to noise ratio
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10219251
Downloads since deposit
1Download
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item