Track Ⅷ

Intelligent MIMO Radar Sensing: Target Detection, Imaging, and Multimodal Recognition (Submission Deadline: October 31, 2026) MIMO雷达智能感知：目标探测、成像与多模态识别

Chair:	Co-chairs:

Biao Xue	Xiangfeng Qiu	Mingxing Wang
Xiamen University, China	‌National University of Defense Technology‌, China	University of Electronic Science and Technology of China‌, China

Topics:
MIMO Radar (MIMO雷达) Radar Signal Processing (雷达信号处理) Radar Imaging (雷达成像) Target Detection (目标探测) Parameter Estimation (参数估计) Target Tracking (目标跟踪) Interference Countermeasures (干扰对抗) Intelligent Recognition (智能识别) Multimodal Image Processing (多模态图像处理) Multisource Information Fusion (多源信息融合)

Summary:
This track focuses on key technologies for MIMO radar signal processing, target detection, radar imaging, and intelligent recognition in complex environments. It covers MIMO radar waveform and system design, multichannel signal processing, synthetic aperture radar imaging, moving-target detection and parameter estimation, target localization and tracking, interference countermeasures, and intelligent target recognition. The track also addresses the collaborative processing of radar, optical, infrared, and other multimodal imagery, exploring the use of multisource data for image enhancement, feature fusion, target recognition, and scene understanding. It aims to promote the integration of MIMO radar signal processing, image processing, and artificial intelligence, thereby advancing the intelligent development of MIMO radar for low-altitude sensing, remote-sensing monitoring, intelligent transportation, and autonomous systems.

面向复杂环境下的目标感知需求，本专题聚焦MIMO雷达信号处理、目标探测、雷达成像与智能识别等关键技术，涵盖MIMO雷达波形与系统设计、多通道信号处理、合成孔径雷达成像、运动目标检测与参数估计、定位跟踪、干扰对抗以及智能目标识别等研究方向。同时，专题关注雷达图像与光学、红外等多模态图像信息的协同处理，探索多源数据在图像增强、特征融合、目标识别和场景理解中的应用。专题旨在促进MIMO雷达信号处理、图像处理与人工智能技术的交叉融合，推动MIMO雷达在低空感知、遥感监测、智能交通和无人系统等领域的智能化发展。