Výsledky vyhledávání - "YANG, Xiaopeng"

Report

Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition

Autor: Gao, Weicheng, Qu, Xiaodong, Yang, Xiaopeng

Through-the-Wall radar (TWR) human activity recognition (HAR) is a technology that uses low-frequency ultra-wideband (UWB) signal to detect and analyze indoor human motion. However, the high dependence of existing end-to-end recognition models on the

Externí odkaz: http://arxiv.org/abs/2410.07543

Zobrazit plný text záznamu

Report

Generalizable Indoor Human Activity Recognition Method Based on Micro-Doppler Corner Point Cloud and Dynamic Graph Learning

Autor: Yang, Xiaopeng, Gao, Weicheng, Qu, Xiaodong, Meng, Haoyu

Through-the-wall radar (TWR) human activity recognition can be achieved by fusing micro-Doppler signature extraction and intelligent decision-making algorithms. However, limited by the insufficient priori of tester in practical indoor scenarios, the

Externí odkaz: http://arxiv.org/abs/2410.07542

Zobrazit plný text záznamu

Report

Through-the-Wall Radar Human Activity Micro-Doppler Signature Representation Method Based on Joint Boulic-Sinusoidal Pendulum Model

Autor: Yang, Xiaopeng, Gao, Weicheng, Qu, Xiaodong, Ma, Zeyu, Zhang, Hao

With the help of micro-Doppler signature, ultra-wideband (UWB) through-the-wall radar (TWR) enables the reconstruction of range and velocity information of limb nodes to accurately identify indoor human activities. However, existing methods are usual

Externí odkaz: http://arxiv.org/abs/2408.12077

Zobrazit plný text záznamu

Report

Moving Target Detection Method Based on Range? Doppler Domain Compensation and Cancellation for UAV-Mounted Radar

Autor: Qu, Xiaodong, Sun, Xiaolong, Liu, Feiyang, Zhang, Hao, Zhong, Shichao, Yang, Xiaopeng

Combining unmanned aerial vehicle (UAV) with through-the-wall radar can realize moving targets detection in complex building scenes. However, clutters generated by obstacles and static objects are always stronger and non-stationary, which results in

Externí odkaz: http://arxiv.org/abs/2407.04746

Zobrazit plný text záznamu

Report

TWR-MCAE: A Data Augmentation Method for Through-the-Wall Radar Human Motion Recognition

Autor: Gao, Weicheng, Yang, Xiaopeng, Qu, Xiaodong, Lan, Tian

Publikováno v: in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022, Art no. 5118617

To solve the problems of reduced accuracy and prolonging convergence time of through-the-wall radar (TWR) human motion due to wall attenuation, multipath effect, and system interference, we propose a multilink auto-encoding neural network (TWR-MCAE)

Externí odkaz: http://arxiv.org/abs/2301.02488

Zobrazit plný text záznamu