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A Low-Complexity Sensing Framework for ODDM-Based ISAC Systems
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DOI：10.1109/twc.2026.3712022.png)
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Abstract
En 中文
Orthogonal delay-Doppler division multiplexing (ODDM) is considered as a candidate waveform for integrated sensing and communication (ISAC) systems due to its robustness in high-mobility scenarios. Nevertheless, existing ODDM-based sensing schemes either require high computational complexity or suffer from a limited unambiguous sensing region (USR). This work first analyzes the ambiguity limits of ODDM in range and velocity estimation, and shows that an extended USR can be achieved by exploiting i.i.d. random information symbols. Next, to enable a flexible USR for diverse sensing requirements, we propose a low-complexity sensing framework in which an ODDM frame is divided into multiple single-carrier (SC) blocks for radar channel extraction. To reduce inter-block interference (IBI) and inter-carrier interference (ICI) within each block, we adjust both the block duration and the intended delay-Doppler offset applied to the reference signal, and derive optimal adjustment parameters for both discovery and tracking modes. Furthermore, we develop a high-precision delay-Doppler estimator that successively suppresses IBI and ICI to eliminate the estimation error floor. Finally, simulation results demonstrate the superior performance of the proposed sensing framework compared to state-of-the-art baselines.
Keywords:
Delays
Interference
US Department of Transportation
Doppler effect
Integrated sensing and communication
Manganese
Printing
Timing
Symbols
Distance measurement
orthogonal delay-Doppler division multiplexing
active sensing
range-Doppler maps
ambiguity limits
Journal
IF:
10.7
Papers:
1.3W
Citations:
5.3W
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