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arXiv 2503.08062eess.SPcs.ETcs.ITmath.IT
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循环前缀长度如何影响OFDM-ISAC的感知范围?

How Does CP Length Affect the Sensing Range for OFDM-ISAC?

Xiaoli Xu, Zhiwen Zhou, Yong Zeng

AI总结:

本文通过理论分析和仿真证明OFDM-ISAC的感知范围可远超CP长度限制,并提出滑窗感知方法以缓解远距离目标功率衰减,为CP长度设计提供指导。

摘要:

正交频分复用(OFDM)作为当代无线通信的主导波形,也被视为未来集成感知与通信(ISAC)系统的有力候选。现有关于OFDM-ISAC的研究通常假设最大感知范围应受循环前缀(CP)长度限制,因为需要避免符号间干扰(ISI)和载波间干扰(ICI)。然而,在本文中,我们通过严谨分析揭示,嵌入OFDM-ISAC信号中的随机数据实际上可以充当ISI的免费“掩码”,使ISI/ICI随机化,从而在雷达信号处理后大幅衰减。推导出的距离剖面中信干噪比(SINR)表明,OFDM-ISAC的最大感知范围可以大大超过受CP长度限制的无ISI距离,仿真结果验证了这一点。为了进一步缓解远距离目标的功率衰减,本文提出了一种新颖的滑窗感知方法,该方法在移动检测窗口之前迭代检测并消除近距离目标。移动后的检测窗口能够有效补偿因CP长度不足而对远距离目标造成的功率衰减。这些结果为OFDM-ISAC系统中的CP长度设计提供了有价值的指导。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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