Integrated Long-range Sensing and Communications in Multi Target Scenarios using CP-OFDM
Benedikt Geiger, Silvio Mandelli, Marcus Henninger, Daniel Gil, Gaviria, Charlotte Muth, Laurent Schmalen

TL;DR
This paper introduces a novel multi-target coherent compensation algorithm for OFDM-based sensing in 6G systems, enabling efficient long-range detection of multiple targets with minimal resource use, even in legacy networks.
Contribution
The paper proposes a new multi-target coherent compensation method and a generalized SNR metric, improving long-range sensing performance in multi-target scenarios using OFDM signals.
Findings
Achieves detection at long distances with only 3.6% of radio resources
Outperforms state-of-the-art methods in multi-target scenarios
Enables resource-efficient sensing in legacy communication networks
Abstract
6G communication systems promise to deliver sensing capabilities by utilizing the orthogonal frequency division multiplexing (OFDM) communication signal for sensing. However, the cyclic prefix inherent in OFDM systems limits the sensing range, necessitating compensation techniques to detect small, distant targets like drones. In this paper, we show that state-of-the-art coherent compensation methods fail in scenarios involving multiple targets, resulting in an increased noise floor in the radar image. Our contributions include a novel multi target coherent compensation algorithm and a generalized signal-to-interference-and-noise ratio for multiple targets to evaluate the performance. Our algorithm achieves the same detection performance at long distances requiring only 3.6% of the radio resources compared to classical OFDM radar processing. This enables resource efficient sensing at…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Indoor and Outdoor Localization Technologies · Optical Wireless Communication Technologies
