A Novel ISAC Waveform Based on Orthogonal Delay-Doppler Division Multiplexing with FMCW
Kehan Huang, Akram Shafie, Min Qiu, Elias Aboutanios, Jinhong Yuan

TL;DR
This paper introduces a new ISAC waveform combining orthogonal delay-Doppler division multiplexing with FMCW, featuring low PAPR and enhanced sensing and communication performance through innovative waveform design and analysis.
Contribution
The paper proposes the ODDM-FMCW waveform with a novel DD domain embedding and a DD chirp compression receiver, improving integrated sensing and communication capabilities.
Findings
Low peak-to-average power ratio achieved
Enhanced delay-Doppler estimation accuracy
Improved bit error rate performance
Abstract
In this work, we propose the orthogonal delay-Doppler (DD) division multiplexing (ODDM) modulation with frequency modulated continuous wave (FMCW) (ODDM-FMCW) waveform to enable integrated sensing and communication (ISAC) with a low peak-to-average power ratio (PAPR). We first propose a square-root-Nyquist-filtered FMCW (SRN-FMCW) waveform to address limitations of conventional linear FMCW waveforms in ISAC systems. To better integrate with ODDM, we generate SRN-FMCW by embedding symbols in the DD domain, referred to as a DD-SRN-FMCW frame. A DD chirp compression receiver is designed to obtain the channel response efficiently. Next, we construct the proposed ODDM-FMCW waveform for ISAC by superimposing a DD-SRN-FMCW frame onto an ODDM data frame. A comprehensive performance analysis of the ODDM-FMCW waveform is presented, covering peak-to-average power ratio, spectrum, ambiguity…
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Taxonomy
TopicsPAPR reduction in OFDM · Radar Systems and Signal Processing · Sparse and Compressive Sensing Techniques
