Bistatic Doppler Estimation Based on Extremely Large Aperture Arrays

Future networks are expected to leverage joint communication and sensing (JCS) enabled by advances such as extremely large aperture arrays (ELAAs) and high-frequency operations. These technologies introduce significant near-field propagation effects, which can be exploited to enhance sensing performance. This paper investigates velocity sensing through Doppler analysis in bistatic radar systems. By leveraging ELAAs, we demonstrate how velocity components can be accurately estimated. Performance bounds are derived to quantify the influence of system parameters and bistatic geometries on Doppler-based velocity estimation. The results highlight the advantages of bistatic sensing with ELAAs, offering new insights to drive the design and optimization of JCS for 6G networks.

Authors

Institutions

Publication Details

Published
2025-09-08
DOI
https://doi.org/10.23919/eusipco63237.2025.11226468
Primary Topic
Direction-of-Arrival Estimation Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bistatic Doppler Estimation Based on Extremely Large Aperture Arrays

Nicolò Decarli, Andrea Giorgetti, Caterina Giovannetti, Davide Dardari et al.
Direction-of-Arrival Estimation Techniques
article

Bistatic Doppler Estimation Based on Extremely Large Aperture Arrays

Nicolò Decarli, Andrea Giorgetti, Caterina Giovannetti, Davide Dardari, Tommaso Bacchielli
article en

Abstract

Future networks are expected to leverage joint communication and sensing (JCS) enabled by advances such as extremely large aperture arrays (ELAAs) and high-frequency operations. These technologies introduce significant near-field propagation effects, which can be exploited to enhance sensing performance. This paper investigates velocity sensing through Doppler analysis in bistatic radar systems. By leveraging ELAAs, we demonstrate how velocity components can be accurately estimated. Performance bounds are derived to quantify the influence of system parameters and bistatic geometries on Doppler-based velocity estimation. The results highlight the advantages of bistatic sensing with ELAAs, offering new insights to drive the design and optimization of JCS for 6G networks.

Institute of Electronics, Computer and Telecommunication Engineering (IT), National Research Council (IT)
Openalex Percentile: Top 53%
Direction-of-Arrival Estimation Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.