ロボット支援ISACにおける不規則参照信号を用いたマルチピリオドグラム速度推定
Multi-Periodogram Velocity Estimation with Irregular Reference Signals for Robot-Aided ISAC
移動ロボットがセンシングノードとして機能するISAC環境で、不規則な5G/6G参照信号から速度を推定する新しいアルゴリズムを提案。従来法より低SNRでのロバスト性が向上し、誤警報も削減される。
著者: Yi Geng, Pan Cao, Ting Zeng, Yongqian Deng
分類: cs.RO, cs.IT, math.IT
原文アブストラクト
This paper addresses velocity estimation within robot-aided integrated sensing and communications (ISAC), where mobile robots act as sensing nodes but can only opportunistically reuse irregular 5G/6G reference signals (RSs). We show that the velocity profile induced by such irregular time-domain patterns can be decomposed into a periodic-peak component and an amplitude-shaping (weighting) component. Leveraging this structure, we propose a multi-periodogram velocity estimation algorithm that is standard-compliant and does not require new sensing-dedicated RSs or 3GPP modifications. Simulation results demonstrate that, compared with conventional periodogram processing, the proposed method improves low-SNR robustness by achieving a 3 dB SNR gain at the 10% missed-detection rate and reducing false alarms by 51%.