Multipath is a challenging problem for radar-based localization systems, especially in indoor
scenarios. Multipath is caused by the bounces from static objects like walls and furniture in …

Shape variance of target images, image overlapping for adjacent targets, and weak
scattering target detection are critical challenges of human target detection for through-the …

In this paper, an algorithm based on multiple-input-multiple-output (MIMO) through-wall-
radar is proposed to deal with the problem of the ground ghost influence in three …

Ultra‐wideband (UWB) radar is widely used in static through‐wall imaging (TWI). There are
still many imaging problems of motion through‐wall targets for complex system structure and …

Indoor human localization (IHL) is an important application of the Internet of Things.
Multipath effects are the most challenging problem for successful IHL when using radar, and …

Multipath is a significant challenge for indoor multiple-input-multiple-output (MIMO) radar
applications. It generates the so-called 'ghosts' in the radar detection, which represent the …

针对带标注实测样本受限情况下的遮蔽多目标高分辨成像问题, 提出一种基于迁移学习的穿墙
雷达成像方法. 首先, 搭建生成对抗子网络实现带标签仿真数据到实测数据的迁移 …

Colocated multiple-input multiple-output (MIMO) technology has been widely used in
automotive radars as it provides accurate angular estimation of the objects with relatively …

Colocated multiple-input multiple-output (MIMO) technology has been widely used in
automotive radars as it provides accurate angular estimation of the objects with a relatively …

Monitoring patient safety in high-risk mental health environments is a challenge for clinical
staff. There has been a recent increase in the adoption of contactless sensing solutions for …