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