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How Does CP Length Affect the Sensing Range for OFDM-ISAC?
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Orthogonal frequency division multiplexing (OFDM), which has been the dominating waveform for contemporary wireless communications, is also regarded as a competitive candidate for future integrated sensing and communication (ISAC) systems. Existing works on OFDM-ISAC usually assume that the maximum sensing range should be limited by the cyclic prefix (CP) length since inter-symbol interference (ISI) and inter-carrier interference (ICI) should be avoided. However, in this paper, we provide rigorous analysis to reveal that the random data embedded in OFDM-ISAC signal can actually act as a free ``mask" for ISI, which makes ISI/ICI random and hence greatly attenuated after radar signal processing. The derived signal-to-interference-plus-noise ratio (SINR) in the range profile demonstrates that the maximum sensing range of OFDM-ISAC can greatly exceed the ISI-free distance that is limited by the CP length, which is validated by simulation results. To further mitigate power degradation for long-range targets, a novel sliding window sensing method is proposed, which iteratively detects and cancels short-range targets before shifting the detection window. The shifted detection window can effectively compensate the power degradation due to insufficient CP length for long-range targets. Such results provide valuable guidance for the CP length design in OFDM-ISAC systems.
Forward citations
Cited by 2 Pith papers
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OFDM Based Bistatic Integrated Sensing and Communication: Sensing Beyond CP Limit
A pilot-only sliding-window detector is claimed to estimate bistatic OFDM target range and velocity beyond the cyclic-prefix duration, matching Cramer-Rao bounds in high SNR.
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Impact of Insufficient CP on Sensing Performance in OFDM-ISAC Systems
Closed-form expressions quantify how insufficient cyclic prefix raises sidelobes and degrades range-Doppler maps in OFDM-ISAC, revealing a noise-amplification versus inter-target-interference trade-off between recipro...
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