发表机构
University of Technology Sydney; University of Wollongong; University of Oulu（悉尼科技大学; 伍伦贡大学; 奥卢大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出基于WL-NLMS算法的FASIC框架，实现波形鲁棒的模拟SIC，可稳定抑制约30-34 dB自干扰，低PAPR波形底噪更深，为6G波形选择提供依据。
AI 中文摘要
单站集成感知与通信（ISAC）需要带内全双工工作，其中自干扰消除（SIC）必须在抑制强发射泄漏的同时保留弱感知回波。在模拟域中，该任务因发射机损伤（会产生共轭和非线性自干扰分量）以及统计特性差异极大的波形而变得复杂。本文基于广泛线性归一化最小均方（WL-NLMS）算法，开发了一种用于单站ISAC的灵活模拟自干扰消除（FASIC）框架。FASIC在数字基带生成消除信号，在射频域进行减法，并通过可配置的消除范围实现灵活的感知范围控制。其归一化自适应在峰均功率比（PAPR）差异显著的波形上保持稳定，而固定步长自适应在此类波形上可能变得不稳定。我们进一步将发射波形统计特性与模拟SIC性能关联起来，并预测依赖波形的消除底噪。仿真验证了该分析，并展示了约30至34 dB的稳定模拟SIC，其中低PAPR波形因高阶振幅矩较小而实现了3.3 dB更深的底噪。消除范围内的近场静态反射被抑制，而延迟和多普勒频移的回波则被保留。这些结果确立了FASIC作为一种波形鲁棒的模拟SIC解决方案，并将波形统计特性确定为第六代（6G）波形选择的关键考量因素。
英文摘要
Monostatic integrated sensing and communication (ISAC) requires in-band full-duplex operation, where self-interference cancellation (SIC) must suppress the strong transmit leakage while preserving weak sensing echoes. In the analog domain, this task is complicated by transmitter impairments, which generate conjugate and nonlinear SI components, and by waveforms with widely different statistics. This paper develops a flexible analog self-interference cancellation (FASIC) framework for monostatic ISAC based on the widely linear normalized least-mean-square (WL-NLMS) algorithm. FASIC generates the cancellation signal in digital baseband, subtracts it in the radio-frequency domain, and enables flexible sensing-range control via a configurable cancellation span. Its normalized adaptation remains stable across waveforms with substantially different peak-to-average power ratios (PAPRs), for which fixed-step adaptation can become unstable. We further relate transmit-waveform statistics to analog SIC performance and predict the waveform-dependent cancellation floor. Simulations validate the analysis and demonstrate stable analog SIC of approximately $30$--$34$ dB, with the low-PAPR waveforms achieving a $3.3$ dB deeper floor owing to their smaller high-order amplitude moments. Near-field static reflections within the cancellation span are suppressed while delayed and Doppler-shifted echoes are preserved. These results establish FASIC as a waveform-robust analog SIC solution and identify waveform statistics as a key consideration for sixth-generation (6G) waveform selection.
