AI 中文总结
提出基于DFT-p-FDMA的ISAC框架，用于CP-OFDM多址通信系统，利用部分频率资源传线性调频信号，确保其他频段数据传输无干扰。分析信道行为，展示处理接收符号提高多普勒分辨率，可灵活调整距离-多普勒分辨率，仿真验证其性能。
AI 中文摘要
我们提出了一种集成感知与通信（ISAC）框架，该框架支持在基于CP-OFDM的多址通信系统中传输线性调频信号，实现通信与感知能力的高效共存。我们的框架采用离散傅里叶变换相位旋转和置换频分多址（DFT-p-FDMA）波形，利用部分频率资源传输线性调频信号，同时确保其他频段上CP-OFDM数据传输无干扰并发。我们分析了DFT-p-FDMA波形下的有效信道行为，表征了延迟和多普勒频移如何影响雷达目标回波。我们还展示了在实际场景中处理多个接收符号如何提高多普勒分辨率。我们的框架允许通过优化时频资源分配灵活调整距离-多普勒分辨率，为ISAC应用提供了通用解决方案。仿真结果验证了该框架在延迟和多普勒估计方面的性能，凸显了其在下一代无线网络中支持ISAC的潜力。
英文摘要
We propose an integrated sensing and communications (ISAC) framework that supports chirp signal transmission in CP-OFDM-based multiple access communication systems, enabling efficient coexistence of communication and sensing capabilities. Our framework employs the discrete Fourier transform phase rotated and permuted frequency division multiple access (DFT-p-FDMA) waveform to transmit chirp signals using a portion of the frequency resources, while ensuring interference-free concurrent CP-OFDM data transmissions on other bands. We analyze the effective channel behavior under the DFT-p-FDMA waveform, characterizing how delays and Doppler shifts impact radar target echoes. We also show how processing multiple received symbols improves Doppler resolution in practical scenarios. Our framework allows flexible adjustment of range-Doppler resolution through optimized time-frequency resource allocation, offering a versatile solution for ISAC applications. Simulation results validate the framework's performance in delay and Doppler estimation, highlighting its potential to support ISAC in next-generation wireless networks.
CommentsAccepted to IEEE VTC2026-Fall
