This paper studies orthogonal time-frequency space (OTFS) modulation aided multistatic integrated sensing and communication (ISAC) in vehicular networks, whereby its delay-Doppler robustness is exploited for enhanced communication and high-resolution sensing. We present a triangulation-based deployment framework combined with Kalman filtering (KF) that enables accurate target localization and velocity estimation. In addition, we assess the ISAC performance in the multistatic topology to determine its effectiveness in the dynamic environment. Further, a suboptimal placement strategy for the multistatic receivers is devised to reduce the targets' localization error. Numerical results demonstrate significant reductions in the sensing error and bit error rate (BER) performances.

翻译：本文研究车载网络中正交时频空间（OTFS）调制辅助的多基地一体化感知与通信（ISAC）技术，利用其延迟-多普勒鲁棒性以增强通信性能并实现高分辨率感知。我们提出一种结合卡尔曼滤波（KF）的三角定位部署框架，能够实现精确的目标定位与速度估计。此外，我们评估了多基地拓扑下的ISAC性能，以确定其在动态环境中的有效性。进一步地，本文设计了一种多基地接收器的次优部署策略，以降低目标定位误差。数值结果表明，该方案在感知误差与误码率（BER）性能方面均实现了显著降低。