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

Fuente: arXiv
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Main Authors: Rani, Jyotsna, Deka, Kuntal, Prasad, Ganesh, Liu, Zilong
Format: Preprint
Published: 2026
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author Rani, Jyotsna
Deka, Kuntal
Prasad, Ganesh
Liu, Zilong
author_facet Rani, Jyotsna
Deka, Kuntal
Prasad, Ganesh
Liu, Zilong
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2602_09776
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Optimally Deployed Multistatic OTFS-ISAC Design With Kalman-Based Tracking of Targets
Rani, Jyotsna
Deka, Kuntal
Prasad, Ganesh
Liu, Zilong
Networking and Internet Architecture
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.
title Optimally Deployed Multistatic OTFS-ISAC Design With Kalman-Based Tracking of Targets
topic Networking and Internet Architecture
url https://arxiv.org/abs/2602.09776