Target Detection in ISAC Systems with Active RISs: A Multi-Perspective Observation Approach
Shoushuo Zhang, Rang Liu, Ming Li, Wei Wang, Qian Liu

TL;DR
This paper proposes a multi-perspective observation framework for ISAC systems with active RISs, enhancing target detection accuracy by exploiting diverse observation paths and advanced signal processing techniques.
Contribution
It introduces a novel multi-perspective observation approach combined with joint waveform and RIS reflection design for improved target detection in ISAC systems.
Findings
Significantly improved target detection accuracy in simulations.
Effective joint optimization of waveform, RIS coefficients, and receive filters.
Enhanced target-clutter separation using multi-perspective observations.
Abstract
Integrated sensing and communication (ISAC) has emerged as a transformative technology for 6G networks, enabling the seamless integration of communication and sensing functionalities. Reconfigurable intelligent surfaces (RIS), with their capability to adaptively reconfigure the radio environment, have shown significant potential in enhancing communication quality and enabling advanced cooperative sensing. This paper investigates a multi-RIS-assisted ISAC system and introduces a novel multi-perspective observation framework that leverages the diversity of multiple observation paths, each exhibiting distinct spatial, delay, and Doppler characteristics for both target and clutter. The proposed framework integrates symbol-level precoding (SLP) and space-time adaptive processing (STAP) to fully exploit the benefits of multi-perspective observations, enabling superior target-clutter…
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