Specifically, the angle-range-velocity information of potential targets is jointly extracted by utilizing all the received echo signals within a coherent processing interval (CPI). The proposed joint estimation algorithm can achieve larger signal-to-noise-ratio (SNR) processing gains and higher resolution by fully exploiting the echo signals ...

Combining the information theory and the Nyquist sam-pling theorem, we develop an information model for band-limited discrete-time ISAC systems, which cap-tures the features of both time, frequency, and spa-tial domains.

In this paper, we introduce a novel joint angle-range-velocity estimation algorithm for MIMO-OFDM ISAC systems. This approach exclusively depends on the format of conventional MIMO-OFDM waveforms that are widely adopted in wireless communications.

当所有这些参数几乎保持不变时，定义了一个相干处理间隔（cpi）。cpi的长度取决于通道中物体的移动，当物体以每秒数十米的速度移动时，cpi的长度通常为几毫秒。 宽带信道矩阵： 对于宽带ofdm系统，与（1）对应的第n个子载波处的频域信道矩阵为

Abstract—Orthogonal frequency division multiplexing (OFDM)-based integrated sensing and communication (ISAC) is promising for future sixth-generation mobile communication systems. Existing works focus on the joint estimation of the targets’ …

Abstract: This paper proposes a cooperative integrated sensing and communication (ISAC) scheme for low-altitude sensing scenario, aiming at estimating the parameters of the unmanned aerial vehicles (UAVs) and enhancing the sensing performance via cooperation. The proposed scheme consists of two stages.

2023年7月27日 · DIR (Data information rate)：用于评估ISAC信号的通信效率。 LFM信号能够增加信号的time-bandwidth product（时间带宽积）。 OFDM与LFM结合能提高多普勒灵敏度，降低速度估计误差。 OFDM-LFM信号可以分为两种：载波调制和非载波调制. 载波调制： Z. Zhang, Y. Qu, Z. Wu, M. J. Nowak, J. Ellinger, and M. C. Wicks, “RF steganography via LFM chirp radar signals,” IEEE Trans. Aerosp. Electron. Syst., vol. 54, no. 3, pp. 1221–1236, Jun. 2018.

Must-Reading Papers on Integrated Sensing and Communications (ISAC) Other Terms : Joint Radar Communications (JRC) / Joint Communication and Radar Sensing (JCAS) / Dual-Functional Radar Communications (DFRC)

通信感知一体化（Integrated Sensing And Communications，ISAC）被认为是第六代移动通信（6G）的重要候选技术之一，能充分共享无线通信和雷达感知的空时频等维度的资源，实现两者的共存、互助与共惠。

在ISAC系统中，包含了通信和感知两个大方面的性能指标（Performance criteria），注意一下这里感知的性能指标可以是通信系统信道估计里的信道状态信息（Channel statement information），这里我先简要介绍一下感知中雷达探测的性能指标：