Waveform design for joint communication and sensing (JCAS) is an important research direction, focusing on providing an optimal tradeoff between communication and sensing performance. In this paper, we first describe the conventional grid-type waveform structure and the corresponding two-dimension (2D)-discrete Fourier transform (DFT) algorithm. We then introduce an emerging diagonal scheme, including a diagonal waveform structure and corresponding 1D-DFT diagonal algorithm. The diagonal scheme substantially reduces the signaling overhead and computational complexity compared to the conventional 2D-DFT algorithm while still achieving the same radar performance. But the previous study of diagonal waveform used a single target to evaluate the performance of the diagonal scheme. This paper verifies the diagonal waveform with simulations demonstrating its feasibility in a traffic monitoring scenario with multiple vehicles.

翻译：联合通信与感知（JCAS）的波形设计是重要研究方向，重点在于提供通信与感知性能之间的最优权衡。本文首先阐述了传统栅格型波形结构及其对应的二维离散傅里叶变换（2D-DFT）算法，接着引入一种新兴的对角线方案，包括对角线波形结构和相应的一维离散傅里叶变换（1D-DFT）对角线算法。与传统2D-DFT算法相比，该对角线方案在保持相同雷达性能的同时，显著降低了信令开销和计算复杂度。然而，先前关于对角线波形的研究仅使用单个目标来评估该方案性能。本文通过多车辆交通监控场景的仿真验证了对角线波形的可行性。