Author Archive: admin_kangliu

Paper accepted for IRS 2023

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Paper: Omega-K Algorithm extended with MIMO-SAR using Cascaded FMCW Radar

Author: Kang Liu, Yuanhui Zhang, Yu Cao, Yuqi Tian, Xiangcheng Zhu

This paper will be an oral presentation at International Radar Symposium IRS 2023 in Berlin on 24-26 May 2023.

Congratulations to our mmWave Radar Joint Lab.

Figure: Indoor and outdoor SAR imaging: glass wall and parking place. (a) Indoor scene – Glass wall , (b)
Imaging of glass wall in (a), (c) Outdoor scene – parking place, (d) Imaging of parking place in (c).

祝贺研究生田钰琪同学， 论文《基于毫米波雷达点云的人体动作识别》已被《中国计量大学学报》录用。

Two Journal Paper are accepted

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Congratulations

  1. Zixuan Zhao, Kang Liu, Yuanhui Zhang, “Design of digital-twin-based monitoring system for indoor pedestrian,”  Modern Electronics Technique, 2023, vol. 16.

    基于数字孪生的室内行人监测系统设计，<<现代电子技术>>

  2. Chengran Yu, Kang Liu, Yuanhui Zhang, Duo Fu, “Multi-millimeter wave radar localization method based on BA optimization,” Laser Journal, 2023，vol. 11.

    基于BA优化的多毫米波雷达定位方法，<<激光杂志>>

Radar Challenge Paper accepted

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Radar Challenge “Human Activity Classification with Radar”

The Radar Challenge is a new event hosted at 2020 IET International Radar Conference that enables participants to test their classification algorithms on a common, publicly available database of radar data in order to benchmark performances.

We achieved the 1st Place in the contest. The contest is described in the IEEE Journal.

S. Yang et al., “The Human Activity Radar Challenge: benchmarking based on the ‘Radar signatures of human activities’ dataset from Glasgow University,” in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2023.3240895.

Congratulations to the successful project and collaboration.

MIMO-SAR Imaging is accepted for IEEE Radar Conference 2023

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Congratulations!

Our paper titled “MIMO-SAR Image Antialiasing for Cascaded mmWave Radar Sensor“, has been accepted at the 2023 IEEE Radar Conference, to be held in San Antonio, Texas, USA from May 1-5, 2023.

This paper is collaborated by China Jiliang University, Andar Technologies  and Einstein E-Tech GmbH.

Authors

Kang Liu, Yuanhui Zhang, Yu Cao, Xiangcheng Zhu, Qiyang Ge

Fan Zhang, Shunan Wang, Zhijian Zhang

Abstract

This paper presents a cascaded mmWave Radar sensor system, which is able to generate MIMO SAR imaging. Two techniques are proposed in this paper, calibration and antialiasing. Since the cascaded radar has a big aperture, the data capture time is significantly reduced by MxN times, M and N are the number of Tx and Rx channels of the cascaded radar sensor, which enables real time SAR imaging acquisition. In order to generate focused SAR imaging, the calibration of cascaded radar is necessary. Furthermore, an antialiasing technique is proposed to enhance the SAR image by reducing the ghost image bands. The proposed algorithm is evaluated by both simulation and real data processing. The experimental results show that MIMO-SAR image by our cascaded Radar sensor has the potential in real time applications.

MIMO-SAR Antenna Layout and Virtual Array

Two Journal Papers accepted 01/2023

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  • Journal of Applied Sciences

Title: Design and Experiments of Autonomous Path Tracking based on Dead Reckoning
Authors: Songxiao Cao, Ye Jin, Toralf Trautmann, Kang Liu

https://www.mdpi.com/2076-3417/13/1/317

  • IEEE Robotics and Automation Letters (RA-L)

Title: Scan Denoising and Normal Distribution Transform for Accurate Radar Odometry and Positioning
Authors: Rongxi Zhang, Yuanhui Zhang, Duo Fu, Kang Liu

accepted date: 01/06/2023

https://doi.org/10.1109/LRA.2023.3236570

Congratulations to the students and staff at Sino-German Research Center and mmwave Radar joint lab!

RMA SAR Imaging

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A platform for SAR imaging is designed in our company. ADC raw data is captured and the SAR imaging is implemented.

As so far, the near field SAR imaging is developed.

Here we can show some results. left-up image shows the radar sensor, left-down image shows the scene of two corner reflectors, and the right image is the SAR.

We did some real scene test with our developed RMA SAR Imaging.

SAR Imaging of Parking Place

From the SAR image, we can see that the rear part of the car is clearly imaged. The left wall of the parking place echoes strong reflection. The ceiling beam above the car has also focused image at the distance of 6m downrange.

This algorithm is developed and tested for near field SAR imaging, which is very challenged for automotive short range radar.

The results will be published in the IEEE Radar conference in 2023.