Junkai Hou

Junkai Hou

BUPT 2026 Ph.D

Brief Introduction / 个人简介

侯君恺，北京邮电大学未来学院2022级电子信息类（元班）本科生，教育部全国大学生职业规划大赛北京邮电大学总决赛评审专家组成员，北京市自然科学基金本科生“启研”计划项目负责人，北京邮电大学2025年度“校园十大先锋人物”，北京市教育委员会、北京高校大学生就业创业指导中心特邀报告嘉宾。教育部全国大学生职业规划大赛金奖暨北京赛区成长赛道总冠军、2023—2024年度国家奖学金、2024中国国际大学生创新大赛北京赛区一等奖（项目负责人），2024年1月随北京市卓越工程师教育培养计划高校联盟（BUAEEE）代表北京邮电大学赴法国巴黎交流访问，担任北京化工大学、北京工业大学等京内十余所高校、企业的特邀报告嘉宾。

Junkai Hou, a 2022 undergraduate student majoring in Electronic Information at the Future College of Beijing University of Posts and Telecommunications, is a member of the expert review panel for the National College Students’ Career Planning Competition Finals at Beijing University of Posts and Telecommunications, the project leader of the Beijing Natural Science Foundation Undergraduate “Qiyan” Program, and one of the “Top Ten Campus Pioneers” of Beijing University of Posts and Telecommunications in 2025. Special guest speaker invited by the Beijing Municipal Education Commission and the Beijing College Students’ Employment and Entrepreneurship Guidance Center. Gold Award of the National College Students’ Career Planning Competition of the Ministry of Education and the Champion of the Growth Track in Beijing Region, National Scholarship for 2023-2024, First Prize of the 2024 China International College Students’ Innovation Competition in Beijing Region (Project Leader). In January 2024, he represented Beijing University of Posts and Telecommunications on an exchange visit to Paris, France, as part of the Beijing Outstanding Engineers Education and Training Program University Alliance (BUAEEE), and served as a special guest speaker at over ten universities and enterprises in Beijing, including Beijing University of Chemical Technology and Beijing University of Technology.

Education Background / 教育背景

高中

大学

  • 北京邮电大学
    • 本科: 未来学院, 2022-2026
    • 博士: 人工智能学院, 2026-

Senior High School

  • Harbin Deqiang Senior High School Senior High
    • Deputy Director of the Youth League Committee

University

  • Beijing University of Posts and Telecommunications (BUPT)
    • UnderGraduate: School of Future, 2022-2026
    • Ph.D: School of Artificial Intelligence, 2026-

Research Field / 研究方向

  1. 计算机视觉，参考多目标跟踪，图像美学评估 CV (Computer Vision)，RMOT (Referring Multi-Object Tracking), IAA(Image Aesthetic Assessment)
  2. 雷达技术，杂波抑制，室内人体目标检测 Radar Technologies, Radar Clutter Suppression, Indoor Human Target Detection

Beijing Natural Science Foundation / 北京市自然科学基金

Project Leader / 项目负责人

Mimicking Bats’ Echolocation: A Biomimetic Approach for Indoor Human Target Detection , Junkai Hou, Chunpeng Lu, Hanbin Guo, Yuan He* , Accepted by IET Interntional Radar Conference 2025
Paper
Project

Wall-penetrating Radar Clutter Suppression Method Based on Spatial Frequency Diversity / 基于空间频率分集的穿墙雷达杂波抑制方法

In the complex urban environment, the dense buildings and obstacles pose a huge challenge to target detection. Wall-penetrating radar technology can detect targets behind walls by penetrating non-metallic obstacles, but the strong background noise caused by walls and the ground seriously affects the target detection effect. The existing research on clutter suppression for through-wall radar has consistently failed to address two extremely crucial issues: clutter suppression in complex environments and the distinction of low-speed moving targets. To overcome these two major bottlenecks and enhance the target detection performance of the through-wall radar, this project proposes a clutter suppression method based on spatial frequency diversity. The core of the project is to draw on the principle of bat sonar, design multi-band radar signal waveforms and antenna beamforming methods, and effectively suppress background noise through spatial frequency diversity technology. The specific research contents include: 1) Multi-band radar signal waveform optimization design to meet the requirements of low side lobes and good Doppler tolerance; 2) Antenna beamforming technology optimization, design antenna beam arrays based on the antenna pattern of signals of different frequencies; 3) Signal processing based on multi-band arrays distinguishes the target signal from background noise by comparing the gain or power ratio of signals of different frequencies in different directions. Ultimately, this study will address the issues of clutter suppression in complex environments and the discrimination of low-speed moving targets.

在城市复杂环境中，建筑物密集和障碍物遮挡给目标探测带来了巨大挑战。穿墙雷达技术能够穿透非金属障碍物实现墙后目标探测，但墙体和地面等引起的强烈背景杂波严重影响了目标检测效果。现有的穿墙雷达杂波抑制研究始终未能解决两个极为关键的问题：复杂环境杂波抑制和低速运动目标区分。 为了攻克这两大瓶颈，提高穿墙雷达的目标检测性能，本项目提出了一种基于空间频率分集的杂波抑制方法。
项目的核心是借鉴蝙蝠声呐原理，设计多频带雷达信号波形和天线波束形成方法，通过空间频率分集技术实现对背景杂波的有效抑制。具体研究内容包括：1) 多频带雷达信号波形优化设计，以满足低旁瓣和良好的多普勒耐受性；2) 天线波束形成技术优化，根据不同频率信号的天线方向图设计天线波束阵列；3) 基于多频带阵列的信号处理，通过比较不同频率信号在不同方向上的增益或功率比，实现对目标信号和背景杂波的区分。最终，本研究将解决复杂环境杂波抑制和低速运动目标区分问题。

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