Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills
  1. Research Outputs

Deterministic Signal Processing Techniques for OFDM-Based Radar Sensing: An Overview

Academic Article
Publication Date:
2023
Short description:
Deterministic Signal Processing Techniques for OFDM-Based Radar Sensing: An Overview / Mirabella, M.; Di Viesti, P.; Davoli, A.; Vitetta, G. M.. - In: IEEE ACCESS. - ISSN 2169-3536. - 11:(2023), pp. 68872-68889. [10.1109/ACCESS.2023.3292937]
abstract:
In this manuscript, we analyze the most relevant classes of deterministic signal processing methods currently available for the detection and the estimation of multiple targets in a joint communication and sensing system employing orthogonal frequency division multiplexing. Our objective is offering a fair comparison of the available technical options in terms of required computational complexity and accuracy in both range and Doppler estimation. Our numerical results, obtained in various scenarios, evidence that distinct algorithms can achieve a substantially different accuracy-complexity trade-off.
Iris type:
Articolo su rivista
Keywords:
Dual-function radar-communication; frequency estimation; harmonic retrieval; joint communication and sensing; maximum likelihood estimation; orthogonal frequency division multiplexing; radar processing; spectral analysis
List of contributors:
Mirabella, M.; Di Viesti, P.; Davoli, A.; Vitetta, G. M.
Authors of the University:
DI VIESTI PASQUALE
MIRABELLA MICHELE
VITETTA Giorgio Matteo
Handle:
https://iris.unimore.it/handle/11380/1314608
Full Text:
https://iris.unimore.it//retrieve/handle/11380/1314608/586292/Deterministic_Signal_Processing_Techniques_for_OFDM-Based_Radar_Sensing_An_Overview.pdf
Published in:
IEEE ACCESS
Journal
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.4.4.0