Optimally Deployed Multistatic OTFS-ISAC DesignWith Kalman-Based Tracking of Targets

This paper studies orthogonal time-frequency space(OTFS) modulation aided multistatic integrated sensing andcommunication (ISAC) in vehicular networks, whereby its delay-Doppler robustness is exploited for enhanced communicationand high-resolution sensing. We present a triangulation-baseddeployment framework combined with Kalman filterin (KF)that enables accurate target localization and velocity estimation.In addition, we assess the ISAC performance in the multi-static topology to determine its effectiveness in the dynamicenvironment. Further, a suboptimal placement strategy for themultistatic receivers is devised to reduce the targets’ localizationerror. Numerical results demonstrate significan reductions in thesensing error and bit error rate (BER) performances.