Abstract: Recent advances in radar technology have been driven by the increasing demand for improved detection accuracy and robustness in complex environments. Distributed multi-static radar systems, comprising spatially separated transmitters and receivers, offer significant advantages over conventional monostatic radars, including enhanced detection performance, improved resilience to single-point failures, and superior capability against stealth and intelligent targets. However, accurate multi-target data association, real-time tracking, and noncooperative target imaging remain key challenges.

The first part of this work focuses on advancing the core functionalities of multi-static radar systems. A novel Non-Parametric Data Association and Tracking (NPDAT) algorithm is proposed, which exploits the geometry of the multi-static measurement model. By jointly utilizing delay and bistatic Doppler measurements across multiple transmitter–receiver pairs, the algorithm accurately estimates and tracks the three-dimensional positions and velocities of multiple targets. The proposed approach achieves improved estimation accuracy and robust tracking performance while significantly reducing computational and implementation complexity. In addition, a low-complexity composite Radar Cross-Section (RCS) imaging technique is developed using an inverse synthetic aperture radar–oriented approach. The resulting RCS and shape representations provide distinctive target signatures that can serve as effective features for target classification.

The second part of this work addresses the design of an OTFS-based multi-static ISAC system for vehicular environments. ISAC enables joint communication and sensing within a single framework, leading to improved spectral efficiency, reduced hardware cost, and lower power consumption. Carefully designed pilot sequences ensure accurate parameter estimation while maintaining spectral efficiency. To address the challenge of multi-target association here, a joint association and localization framework based on Orthogonal Matching Pursuit (OMP) is proposed. Simulation results demonstrate improved accuracy with reduced computational complexity, supporting practical ISAC implementation. Furthermore, the framework is extended to incorporate fractional delay and bistatic Doppler effects, enabling reliable performance even under low-bandwidth constraints.

Overall, our work presents a unified and practically viable framework that advances multi-static radar systems and OTFS-based ISAC techniques, providing robust algorithmic solutions for next-generation V2I sensing and communication applications.

Event Details
Title: Advanced Multi-static Radar Systems: Novel Algorithms for Data Association, Multi-Target Tracking, RCS Imaging, and OTFS-based ISAC Techniques (PhD Viva Voce)
Date: January 12, 2026 at 10:30 AM
Venue: ESB-234 (Malaviya Hall)/ Google Meet (https://meet.google.com/dsk-bzuo-rsu)
Speaker: Ms. Sruti S (EE18D705)
Guide: Dr. Giridhar K
Type: PHD seminar

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