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

01/06/2023
by   Weicheng Gao, et al.
0

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) data augmentation method. Specifically, the TWR-MCAE algorithm is jointly constructed by a singular value decomposition (SVD)-based data preprocessing module, an improved coordinate attention module, a compressed sensing learnable iterative shrinkage threshold reconstruction algorithm (LISTA) module, and an adaptive weight module. The data preprocessing module achieves wall clutter, human motion features, and noise subspaces separation. The improved coordinate attention module achieves clutter and noise suppression. The LISTA module achieves human motion feature enhancement. The adaptive weight module learns the weights and fuses the three subspaces. The TWR-MCAE can suppress the low-rank characteristics of wall clutter and enhance the sparsity characteristics in human motion at the same time. It can be linked before the classification step to improve the feature extraction capability without adding other prior knowledge or recollecting more data. Experiments show that the proposed algorithm gets a better peak signal-to-noise ratio (PSNR), which increases the recognition accuracy and speeds up the training process of the back-end classifiers.

READ FULL TEXT

page 1

page 4

page 8

page 10

page 11

page 12

page 17

research
11/07/2021

CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals

mmWave FMCW radar has attracted huge amount of research interest for hum...
research
04/05/2022

Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition

With the rapid development of deep learning, automatic modulation recogn...
research
04/15/2022

Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network

This paper proposes a knowledge-and-data-driven graph neural network-bas...
research
04/25/2023

On the Use of Singular Value Decomposition as a Clutter Filter for Ultrasound Flow Imaging

Filtering based on Singular Value Decomposition (SVD) provides substanti...
research
04/15/2023

FSDNet-An efficient fire detection network for complex scenarios based on YOLOv3 and DenseNet

Fire is one of the common disasters in daily life. To achieve fast and a...
research
07/24/2023

Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA

The detection of multiple targets in an enclosed scene, from its outside...
research
08/11/2020

Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection

Echocardiogram (echo) is the earliest and the primary tool for identifyi...

Please sign up or login with your details

Forgot password? Click here to reset