不同星座下OFDM ISAC系统中基于子空间的检测
Subspace-Based Detection in OFDM ISAC Systems under Different Constellations
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中文总结 AI 辅助
针对不同星座调制导致OFDM ISAC系统峰值旁瓣电平波动、影响多目标检测的问题，提出基于子空间的分步检测法以消除已检测目标干扰，经仿真验证该方法在多种星座下均能保持稳定的高检测性能。
中文摘要 AI 辅助
本文研究了正交频分复用（OFDM）集成感知与通信（ISAC）系统中基于子空间的目标检测，同时考虑了多种星座的影响。为满足多样化通信需求，可采用具有不同调制阶数的各类星座方案（如PSK、QAM），这进而会导致雷达功能中的峰值旁瓣电平（PSL）产生变化。这些PSL波动在多目标检测场景中构成了重大挑战，尤其是在出现强旁瓣遮蔽效应的场景下。为应对这一挑战，我们设计了一种基于子空间的方法用于分步目标检测流程，系统性地消除来自已检测目标的干扰。仿真结果证实了所提方法的有效性，其在OFDM ISAC系统的多种星座方案下均能实现持续稳定的高目标检测性能。
英文摘要
This paper investigates subspace-based target detection in OFDM integrated sensing and communications (ISAC) systems, considering the impact of various constellations. To meet diverse communication demands, different constellation schemes with varying modulation orders (e.g., PSK, QAM) can be employed, which in turn leads to variations in peak sidelobe levels (PSLs) within the radar functionality. These PSL fluctuations pose a significant challenge in the context of multi-target detection, particularly in scenarios where strong sidelobe masking effects manifest. To tackle this challenge, we have devised a subspace-based approach for a step-by-step target detection process, systematically eliminating interference stemming from detected targets. Simulation results corroborate the effectiveness of the proposed method in achieving consistently high target detection performance under a wide range of constellation options in OFDM ISAC systems.
