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Integrated sensing and communication (ISAC), has many potential applications, like localization, environment reconstruction, imaging, and communication assistance purposes. Also, it has been adopted as one of the key 6 usage scenarios specified in the IMT-2030 (6G) framework by ITV. ISAC performance evaluation depends critically on channel modeling, but because traditional models are oriented only to communication, such models cannot meet the requirements imposed by ISAC. Consequently, we need to explore a new channel model for ISAC. In this paper, we first present a hybrid channel modeling method that incorporates statistical and deterministic modeling. This modeling method independently considers sensing targets and background channels and adopts the multi-scattering center theory to model the target's electromagnetic features. Second, we present a multi-scattering center model and parameter estimation algorithm to extract multi-scattering centers, which are then verified through electromagnetic (EM) simulation.
Chen et al. (Sun,) studied this question.
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