Impact of Insufficient CP on Sensing Performance in OFDM-ISAC Systems
Peishi Li, Rang Liu, Qian Liu, and Ming Li

TL;DR
This paper develops a comprehensive analytical framework to quantify how insufficient cyclic prefix length in OFDM-ISAC systems affects sensing performance, revealing fundamental trade-offs and guiding system design.
Contribution
It introduces the first closed-form expressions for RDM moments under insufficient CP, characterizing ISI and ICI effects in multi-target scenarios.
Findings
Insufficient CP length degrades mainlobe and increases sidelobes in RDM.
Explicit formulas for PSLR and ISLR reveal trade-offs between noise and interference.
Numerical results confirm the impact of CP length on sensing accuracy.
Abstract
Orthogonal frequency-division multiplexing (OFDM) is widely considered a leading waveform candidate for integrated sensing and communication (ISAC) in 6G networks. However, the cyclic prefix (CP) used to mitigate multipath effects in communication systems also limits the maximum sensing range. Target echoes arriving beyond the CP length cause inter-symbol interference (ISI) and inter-carrier interference (ICI), which degrade the mainlobe level and raise sidelobe levels in the range-Doppler map (RDM). This paper presents a unified analytical framework to characterize the ISI and ICI caused by an insufficient CP length in multi-target scenarios. For the first time, we derive closed-form expressions for the second-order moments of the RDM under both matched filtering (MF) and reciprocal filtering (RF) processing with insufficient CP length. These expressions quantify the effects of CP…
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
TopicsGas Sensing Nanomaterials and Sensors · Analytical Chemistry and Sensors · Water Quality Monitoring and Analysis
