ISAC-STAP: Space-time Adaptive Processing for ISAC Systems

Abstract

This paper proposes space-time adaptive processing (STAP) for integrated sensing and communication (ISAC) systems. In the scenarios where a moving ISAC transceiver is sensing targets, clutter with nonzero Doppler shift complicates the task of distinguishing targets from clutter. The proposed algorithm improves target sensing performance by suppressing clutter with nonzero Doppler shift via leveraging the STAP algorithm. Through pre-processing, the proposed algorithm converts the echo of the transmitted communication signal into a radar-like data cube. Then, the proposed algorithm utilizes the range cells near the target to suppress clutter in the target's range cell and estimate the target's parameters. Simulation results demonstrate the superiority of the proposed algorithm in clutter suppression and target sensing in mobile ISAC systems, providing a convincing case for its adoption over existing ISAC target sensing algorithms.