The dominating waveform in 5G is orthogonal frequency division multiplexing (OFDM). OFDM will remain a promising waveform candidate for joint communication and sensing (JCAS) in 6G since OFDM can provide excellent data transmission capability and accurate sensing information. This paper proposes a novel OFDM-based diagonal waveform structure and corresponding signal processing algorithm. This approach allocates the sensing signals along the diagonal of the time-frequency resource block. Therefore, the sensing signals in a linear structure span both the frequency and time domains. The range and velocity of the object can be estimated simultaneously by applying 1D-discrete Fourier transform (DFT) to the diagonal sensing signals. Compared to the conventional 2D-DFT OFDM radar algorithm, the computational complexity of the proposed algorithm is low. In addition, the sensing overhead can be substantially reduced. The performance of the proposed waveform is evaluated using simulation and analysis of results.
翻译:5G 中以波形为主的波形在 5G 中将波形为正方形,是 垂直频率分数多重化(OFDM) 。 OFDM 仍将是 6G 中联合通信和遥感(JCAS) 的有希望的波形候选方,因为 FDM 能够提供极佳的数据传输能力和准确的遥感信息。本文件提出了一个新的基于 DMD 的对角波形结构和相应的信号处理算法。这个方法沿时频资源区块的对角分配感测信号。因此,线形结构中的感测信号将覆盖频率和时间范围。该天体的广度和速度可以通过对对二等感信号应用 1D-dcrete Fourier 变换(DFT) 来同时估算。 与传统的 2D-DFT DMDM 雷达算法相比, 拟议的算法的计算复杂性较低。 此外, 遥感高位值可以大大降低。 拟议的波形的性能通过模拟和结果分析来评估。