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.
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]
Deterministic Signal Processing Techniques for OFDM-Based Radar Sensing: An Overview
Mirabella M.Investigation
;Di Viesti P.Investigation
;Davoli A.Software
;Vitetta G. M.Writing – Review & Editing
2023
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.File | Dimensione | Formato | |
---|---|---|---|
Deterministic_Signal_Processing_Techniques_for_OFDM-Based_Radar_Sensing_An_Overview.pdf
Open access
Tipologia:
Versione pubblicata dall'editore
Dimensione
1.32 MB
Formato
Adobe PDF
|
1.32 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris