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Beamforming and Filter Design for Bistatic ISAC under Known and Unknown Transmit Symbols — arXiv:2608.16290

Source
arXiv (en)
Original
https://arxiv.org/abs/2608.16290
License (as archived)
CC0-1.0
Archived
2026-10-19T02:16:09.472Z
SHA-256 of the archived text
67b131bb0e317c2c3744979eb5df7ac1fbd75907340b52d0b6a4e8db443b8a04
Stable URL of this page
https://metraipolis.com/documento/dc_ee0ff51687cb

How to cite

Beamforming and Filter Design for Bistatic ISAC under Known and Unknown Transmit Symbols — arXiv:2608.16290 — arXiv (en), https://arxiv.org/abs/2608.16290 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ee0ff51687cb (Metraipolis archive dc_ee0ff51687cb, sha256 67b131bb0e317c2c3744979eb5df7ac1fbd75907340b52d0b6a4e8db443b8a04)
BibTeX
@misc{dcee0ff51687cb,
  title = {Beamforming and Filter Design for Bistatic ISAC under Known and Unknown Transmit Symbols — arXiv:2608.16290},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.16290},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ee0ff51687cb; sha256 67b131bb0e317c2c3744979eb5df7ac1fbd75907340b52d0b6a4e8db443b8a04},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.16290. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

This paper investigates the joint design of beamforming and radar receive filters in a multiuser bistatic integrated sensing and communications (ISAC) system, aiming to maximize the minimum radar signal-to-interference-plus-noise ratio (SINR) under communications SINR and transmit power constraints. We consider two scenarios: transmitted signals are either known or unknown at the radar receiver. We develop tractable solutions to the resulting non-convex optimization problems in both cases. For the known-signal case, we derive closed-form radar receive filters and iteratively design beamforming using fractional programming (FP) and successive convex approximation (SCA). For the unknown case, we adopt an alternating optimization (AO) approach to jointly design the beamforming and receive filters. Numerical results demonstrate that, while both approaches achieve comparable performance under per-slot optimization, knowledge of the transmitted symbols provides significant gains in multi-slot processing via coherent integration. Moreover, the proposed ISAC designs perform close to the radar-only benchmark under moderate communication requirements.

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-08-18 in eess.SP).
Categorie arXiv: Signal Processing (eess.SP).
Pagina del lavoro: https://arxiv.org/abs/2608.16290 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T01:25:14.327Z dalla pagina https://arxiv.org/catchup/eess.SP/2026-08-18?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).