arXiv 2606.046982026-06eess.SP

面向集成感知与通信的自适应 $c_2$ 扰动 AFDM 波形设计

Adaptive $c_2$-Perturbed AFDM Waveform Design for Integrated Sensing and Communication

Beijing Institute of Technology（北京理工大学）；Tsinghua University（清华大学）；University of Essex, UK（埃塞克斯大学）

Shiqi Cui, Fan Zhang, Yuanshuo Gang, Zeping Sui, Tianqi Mao, Zhaocheng Wang

备注：: 6 pages, 3 figures, accepted by IEEE Globalcom 2026

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AI总结：

针对 AFDM 波形的高 PAPR 和随机数据符号导致的非理想自相关旁瓣问题，提出一种实时数据驱动框架，通过优化预啁啾参数 $c_2$ 来提升 ISAC 性能。

摘要：

仿射频分复用（AFDM）是一种有前途的集成感知与通信（ISAC）系统波形，因其在时频双弥散信道中的优越性能。然而，AFDM 仍面临两个挑战：高 PAPR 和随机数据符号产生非理想的自相关旁瓣。为了解决这些挑战，本文提出了一种实时数据驱动框架，优化预啁啾参数 $c_2$ 以增强 AFDM-ISAC 性能。具体而言，我们构建了一个无侧信息优化问题，以降低 PAPR 以及非周期和周期自相关函数的加权积分旁瓣水平，其复杂度与传统 AFDM 接收机相当。此外，通过利用闭式梯度，开发了一种高效的非单调线搜索谱投影梯度算法。仿真结果表明，所提方法实现了优越的感知与通信权衡，并在严重的功率放大器非线性情况下能够获得提升的误码率性能。

英文摘要：

Affine frequency division multiplexing (AFDM) is a promising waveform for integrated sensing and communication (ISAC) systems owing to its superior performance in time--frequency doubly dispersive channels. However, AFDM still faces a pair of challenges: high PAPR and random data symbols produce imperfect autocorrelation sidelobes. To address these challenges, this paper proposes a real-time data-driven framework that optimizes the pre-chirp parameter $c_2$ to enhance the AFDM-ISAC performance. Specifically, a side-information-free optimization problem is formulated to reduce PAPR and the weighted integrated sidelobe levels of both aperiodic and periodic autocorrelation functions, with complexity comparable to that of the conventional AFDM receiver. Furthermore, an efficient non-monotone line-search spectral projected-gradient algorithm is developed by exploiting closed-form gradients. Simulation results demonstrate that the proposed method achieves a superior sensing vs. communications trade-off and is capable of striking a promoted bit error rate performance in the presence of severe power amplifier nonlinearity.

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摘要：

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