Date of Graduation

7-2026

Document Type

Thesis

Degree Name

Master of Science in Electrical Engineering (MSEE)

Degree Level

Graduate

Department

Electrical Engineering

Advisor/Mentor

Wu, Jingxian

Committee Member

McCann, Roy

Second Committee Member

Pan, Yanjun

Keywords

Communication; ISAC; ODDM; Sensing; UAV

Abstract

A new delay-Doppler (DD) integrated sensing and communications (ISAC) framework is proposed for unmanned aerial vehicle (UAV) systems. In the DD-ISAC framework, both sensing and communications are performed by using the orthogonal delay Doppler division multiplexing (ODDM) waveforms, which unify sensing and communication designs through their unique properties, such as local bi-orthogonality and dual-resolution in the DD domain. Specifically, the dual-resolution property enables the generation of delay-Doppler map for accurate and low complexity sensing, and the bi-orthogonality minimizes interference for both sensing and communications. The ODDM waveforms are used in combination with the phase comparison monopulse technique and a scaled square root extended Kalman filter (SSR-EKF) to dynamically track the mobility parameters of the UAV. Enabled by the sensing results, the ground station dynamically steers its beam towards the UAV through predictive beamforming to improve the performance of both sensing and communications. The sensing results might benefit communication performance by enabling delay-Doppler compensation at the communication transmitter to reduce DD-domain interference. Simulation results demonstrate that the proposed DD-ISAC framework can accurately obtain the desired sensing parameters and dynamically track the trajectory of high mobility UAVs.

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