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<p>Integrated Sensing and Communications (ISAC) will become a service in future mobile communication networks. It enables the detection and recognition of passive objects and environments using radar-like sensing. The ultimate advantage is the reuse of the mobile network and radio access resources for scene illumination, sensing, data transportation, computation, and fusion. It enables building a distributed, ubiquitous sensing network that can be adapted for a variety of radio sensing tasks and services. In this article, we develop the principles of multi-sensor ISAC (MS-ISAC). MS-ISAC corresponds to multi-user MIMO communication, which in radar terminology is known as distributed MIMO radar. First, we develop basic architectural principles for MS-ISAC and link them to example use cases. We then propose a generic MS-ISAC architecture. After a brief reference to multipath propagation and multistatic target reflectivity issues, we outline multilink access, coordination, precoding and link adaptation schemes for MS-ISAC. Moreover, we review model-based estimation and tracking of delay/Doppler from sparse OFDMA/TDMA frames. We emphasize Cooperative Passive Coherent Location (CPCL) for bistatic correlation and synchronization. Finally, issues of multisensor node synchronization and distributed data fusion are addressed.</p><p>Keywords: Integrated Sensing and Communication, distributed MIMO radar, Cooperative Passive Coherent Location, multidimensional target state vector estimation, distributed MS-ISAC radio access, ISAC precoding, resource allocation, link adaptation, and data fusion.</p>

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Distributed multisensor ISAC

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月4日

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  • Reiner Thomä,
  • Carsten Andrich,
  • Michael Döbereiner,
  • Reza Faramarzahangari,
  • Jonas Gedschold,
  • Marc Francisco Colaco Miranda,
  • Saw James Myint,
  • Steffen Schieler,
  • Christian Schneider,
  • Sebastian Semper,
  • Carsten Smeenk,
  • Gerd Sommerkorn,
  • Zhixiang Zhao

摘要

Integrated Sensing and Communications (ISAC) will become a service in future mobile communication networks. It enables the detection and recognition of passive objects and environments using radar-like sensing. The ultimate advantage is the reuse of the mobile network and radio access resources for scene illumination, sensing, data transportation, computation, and fusion. It enables building a distributed, ubiquitous sensing network that can be adapted for a variety of radio sensing tasks and services. In this article, we develop the principles of multi-sensor ISAC (MS-ISAC). MS-ISAC corresponds to multi-user MIMO communication, which in radar terminology is known as distributed MIMO radar. First, we develop basic architectural principles for MS-ISAC and link them to example use cases. We then propose a generic MS-ISAC architecture. After a brief reference to multipath propagation and multistatic target reflectivity issues, we outline multilink access, coordination, precoding and link adaptation schemes for MS-ISAC. Moreover, we review model-based estimation and tracking of delay/Doppler from sparse OFDMA/TDMA frames. We emphasize Cooperative Passive Coherent Location (CPCL) for bistatic correlation and synchronization. Finally, issues of multisensor node synchronization and distributed data fusion are addressed.

Keywords: Integrated Sensing and Communication, distributed MIMO radar, Cooperative Passive Coherent Location, multidimensional target state vector estimation, distributed MS-ISAC radio access, ISAC precoding, resource allocation, link adaptation, and data fusion.