【作者】 张嘉宇； 顾昌展； 毛军发；

【Author】 Jiayu Zhang;Changzhan Gu;Junfa Mao;State Key Laboratory of Radio Frequency Heterogeneous Integration (Shanghai Jiao Tong University);

【机构】 射频异质异构集成全国重点实验室(上海交通大学)；

【摘要】 本文设计了一款K波段2T4R稀疏MIMO FMCW雷达系统,应用于近距场景,构建了端到端的高性能感知链路。该稀疏MIMO雷达系统实现了8.97°的3 dB波束宽度和13.8°的空间角分辨率,分别比均匀阵列提高了29.8%和32.8%。系统的副瓣电平达到-10 dB,视场角为100°,为目标探测提供了坚实的基础。此外,本文还介绍了一种基于时域干扰去除技术的稀疏阵列雷达信号处理链路。通过利用中频信号的时域特性,有效抑制了射频泄漏和环境静态杂波,实现了14.21 dB的信干比提升,显著提高了目标探测精度。该系统展示了从射频端到数字端的卓越感知性能,具有广泛的应用前景,如近距多目标点云轨迹跟踪和生命体征探测等场景。更多还原

【Abstract】 This paper presents a K-band 2T4R sparse MIMO FMCW radar system, achieving a high-performance end-to-end sensing framework. The sparse MIMO radar achieves a measured 3dB beamwidth of 8.97° and an angular resolution of 13.8°, representing improvements of 29.8%and 32.8%, respectively, compared to a uniform array. Additionally, the system achieves a-10 dB sidelobe level(SLL) and a 100° field of view(FOV), providing a solid foundation for target detection. Furthermore, this paper introduces a signal processing chain for sparse array radar based on time-domain interference cancellation technique. By leveraging the time-domain characteristics of intermediate frequency(IF) signals, the proposed method effectively suppresses leakages and stationary clutters, achieving a 14.21 dB improvement in the signal-to-interference ratio(SIR) for precise target detection. The proposed system demonstrates outstanding sensing performance from the RF domain to digital domain and is suitable for various short-range applications, such as multi-target point cloud trajectory tracking and vital sign detection.更多还原