Grouped Pattern and Multi-Periodogram Algorithm for Range Estimation in ISAC Systems
For ISAC system designers, this method improves low-SNR target detection with fewer sensing resources, but it is an incremental improvement over existing approaches.
The paper proposes a grouped pattern (GP) for sensing signals and a multi-periodogram algorithm for range estimation in ISAC systems, achieving a 16.5% extended detection range and 61% reduced false alarm rate compared to conventional methods.
This paper proposes a grouped pattern (GP) for sensing signals and a corresponding multi-periodogram algorithm for range estimation in integrated sensing and communications (ISAC) systems. GP partitions subcarriers into groups with an identical intra-group configuration replicated across groups, producing range profiles with periodic peaks and a structured multi-peak signature that improves low-SNR target detection. By identifying targets via cross-pattern peak validation, the proposed approach reduces missed detections and false alarms while requiring fewer dedicated sensing resources. Extensive simulations demonstrate a 16.5% extended detection range and a 61% reduced false alarm rate compared to conventional methods.