PA非线性对AFDM感知的影响：匹配滤波视角
Impact of PA Nonlinearities on AFDM Sensing: A Matched Filtering Perspective
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中文总结 AI 辅助
本文研究PA非线性对AFDM感知性能的影响，通过Bussgang分解分析匹配滤波模糊函数，发现AFDM旁瓣几乎不受影响，且在高多普勒和非线性放大下优于OFDM，适用于ISAC感知任务。
中文摘要 AI 辅助
仿射频分复用（AFDM）因其多普勒鲁棒性，成为一种有前景的集成感知与通信（ISAC）波形。然而，此类波形具有较高的峰均功率比（PAPR），需要高度线性的功率放大器（PA），这与ISAC的需求相冲突，因为在感知中高发射功率总是有益的。本文研究了PA非线性对AFDM感知性能的影响。利用非线性放大AFDM信号的Bussgang分解，我们分析了用于感知匹配滤波的时延-多普勒模糊函数，并表明AFDM的旁瓣几乎不受影响。仿真结果证实，在高多普勒和非线性放大条件下，AFDM在目标检测方面优于OFDM，突显了其适用于感知任务。
英文摘要
Affine Frequency Division Multiplexing (AFDM) is a promising waveform for integrated sensing and communications (ISAC) due to its Doppler resilience. However, such waveforms exhibit a high peak-to-average power ratio (PAPR), and they require highly linear Power Amplifiers (PAs), which conflicts with ISAC requirements, where high transmit power for sensing is always beneficial. This paper investigates the impact of PA nonlinearities on the sensing performance of AFDM. Using the Bussgang decomposition of the nonlinearly amplified AFDM signal, we analyze the delay-Doppler ambiguity function for the sensing matched filtering and show that AFDM's sidelobes remain nearly unaffected. Simulation results confirm that AFDM outperforms OFDM in target detection under high Doppler and nonlinear amplification, highlighting its suitability for the sensing task.
