Optimally Deployed Multistatic OTFS-ISAC Design With Kalman-Based Tracking of Targets

Jyotsna Rani; Kuntal Deka; Ganesh Prasad; Zilong Liu

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arXiv · 2602.09776

Optimally Deployed Multistatic OTFS-ISAC Design With Kalman-Based Tracking of Targets

Jyotsna Rani·Kuntal Deka·Ganesh Prasad·Zilong Liu

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Abstract

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.

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Jyotsna Rani, Kuntal Deka, Ganesh Prasad, Zilong Liu. 2026-02-10. Optimally Deployed Multistatic OTFS-ISAC Design With Kalman-Based Tracking of Targets. https://arxiv.org/abs/2602.09776

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