Document Type
Technical Report
Publication Date
2026
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 the unique ODDM waveform properties, such as local DD-domain bi-orthogonality and dual-resolution. Specifically, the dual-resolution property enables the generation of a range-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 antenna array towards the UAV through predictive beamforming to improve the performance of both sensing and communications. The sensing results further benefit communication performance by enabling delay-Doppler compensation to reduce DD-domain interferences. Simulation results demonstrate that the proposed DD-ISAC framework can effectively exploit the synergies between sensing and communications in UAV systems.
Citation
Mobin, M., Pan, Y., & Wu, J. (2026). Delay-Doppler Integrated Sensing and Communications (DD-ISAC) with Predictive Beamforming. Electrical Engineering and Computer Science Faculty Publications and Presentations. Retrieved from https://scholarworks.uark.edu/elcspub/15
Keywords
ISAC; Beamforming; Delay-Doppler domain; Sensing; Communication
