eprintid: 10196817
rev_number: 6
eprint_status: archive
userid: 699
dir: disk0/10/19/68/17
datestamp: 2024-09-11 08:16:03
lastmod: 2024-09-11 08:16:03
status_changed: 2024-09-11 08:16:03
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Xia, W
creators_name: Lou, X
creators_name: Wong, KK
creators_name: Quek, TQS
creators_name: Zhu, H
title: Result Fusion for Integrated Active and Passive Sensing in DFRC Systems
ispublished: pub
divisions: UCL
divisions: B04
divisions: F46
keywords: Measurement, Heuristic algorithms, Symbols, Quality of service, Performance gain, Inference algorithms, Sensors
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Most existing works on dual-function radar-communication (DFRC) systems mainly focus on active sensing, but ignore passive sensing. To leverage multi-static sensing capability, we explore integrated active and passive sensing (IAPS) in DFRC systems to remedy sensing performance. The multi-antenna base station (BS) is responsible for communication and active sensing by transmitting signals to user equipments while detecting a target according to echo signals. In contrast, passive sensing is performed at the receive access points (RAPs). Considering the limited capacity of backhaul links, the signals received at the RAPs cannot be sent to the central controller (CC) directly. Instead, a novel metric of result aggregation for IAPS is proposed. Specifically, each RAP, as well as the BS, makes decisions independently and sends its binary inference results to the CC for result fusion via voting aggregation. Then, aiming at minimizing the probability of error at the CC under communication quality of service constraints, an algorithm of power optimization is proposed. Finally, numerical results validate the positive effect of dedicated sensing symbols and the potential of the proposed IAPS scheme.
date: 2024-08-20
date_type: published
publisher: IEEE
official_url: http://dx.doi.org/10.1109/icc51166.2024.10622321
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2311205
doi: 10.1109/ICC51166.2024.10622321
lyricists_name: Wong, Kai-Kit
lyricists_id: KWONG98
actors_name: Wong, Kai-Kit
actors_id: KWONG98
actors_role: owner
full_text_status: public
pres_type: paper
publication: IEEE International Conference on Communications
place_of_pub: Denver, CO, USA
pagerange: 1606-1611
event_title: ICC 2024 - IEEE International Conference on Communications
event_dates: 9 Jun 2024 - 13 Jun 2024
issn: 1550-3607
book_title: ICC 2024 - IEEE International Conference on Communications
citation:        Xia, W;    Lou, X;    Wong, KK;    Quek, TQS;    Zhu, H;      (2024)    Result Fusion for Integrated Active and Passive Sensing in DFRC Systems.                     In:  ICC 2024 - IEEE International Conference on Communications.  (pp. pp. 1606-1611).  IEEE: Denver, CO, USA.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10196817/1/a274-xia%20final.pdf