Jinpeng Guo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Jinpeng Guo has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Fawei Yang
Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
1 shared publication - Julien Le Kernec
School of Engineering, University of Glasgow, UK
1 shared publication - Quanhua Liu
School of Information and Electronics, Beijing Institute of Technology, Beijing, China
1 shared publication - Rui Zhu
Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing, China
1 shared publication - Tao Zeng
Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
1 shared publication
Latest Publications
- Open Access
- 1 December 2022
- Published by MDPI AG in Remote Sensing
- Vol. 14 (23) , 6098
Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis
The detection of low, slow and small (LSS) targets, such as small drones, is a developing area of research in radar, wherein the presence of ground clutter can be quite challenging. LSS targets, because of their unusual flying mode, can be easily shadowed by ground clutter, leading to poor radar detection performance. In this study, we investigated the feasibility and performance of a ground clutter mitigation method combining slow-time multiple-input multiple-output (st-MIMO) waveforms and independent component analysis (ICA) in a ground-based MIMO radar focusing on LSS target detection. The modeling of ground clutter under the framework of st-MIMO was first defined. Combining the spatial and temporal steering vector of st-MIMO, a universal signal model including the target, ground clutter, and noise was established. The compliance of the signal model for conducting ICA to separate the target was analyzed. Based on this, a st-MIMO-ICA processing scheme was proposed to mitigate ground clutter. The effectiveness of the proposed method was verified with simulation and experimental data collected from an S-band st-MIMO radar system with a desirable target output signal-to-clutter-plus-noise ratio (SCNR). This work can shed light on the use of ground clutter mitigation techniques for MIMO radar to tackle LSS targets.
- 1 December 2022
- Published by MDPI AG in Remote Sensing
- Vol. 14 (23) , 6098
Open AccessGround Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis
The detection of low, slow and small (LSS) targets, such as small drones, is a developing area of research in radar, wherein the presence of ground clutter can be quite challenging. LSS targets, because of their unusual flying mode, can be easily shadowed by ground clutter, leading to poor radar detection performance. In this study, we investigated the feasibility and performance of a ground clutter mitigation method combining slow-time multiple-input multiple-output (st-MIMO) waveforms and independent component analysis (ICA) in a ground-based MIMO radar focusing on LSS target detection. The modeling of ground clutter under the framework of st-MIMO was first defined. Combining the spatial and temporal steering vector of st-MIMO, a universal signal model including the target, ground clutter, and noise was established. The compliance of the signal model for conducting ICA to separate the target was analyzed. Based on this, a st-MIMO-ICA processing scheme was proposed to mitigate ground clutter. The effectiveness of the proposed method was verified with simulation and experimental data collected from an S-band st-MIMO radar system with a desirable target output signal-to-clutter-plus-noise ratio (SCNR). This work can shed light on the use of ground clutter mitigation techniques for MIMO radar to tackle LSS targets.