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arXiv · 2604.22525

Grouped Pattern and Multi-Periodogram Algorithm for Range Estimation in ISAC Systems

Yi Geng·Pan Cao
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Abstract

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.

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Yi Geng, Pan Cao. 2026-04-24. Grouped Pattern and Multi-Periodogram Algorithm for Range Estimation in ISAC Systems. https://arxiv.org/abs/2604.22525

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