Effective Denoising of Firing Shock Force on Shoulder by Morphological Wavelet

Ye Lu,Peng-Han Gong,Ke-Dong Zhou,Bing Li

doi:10.1155/2018/4037835

Abstract

Wavelet transform is one of the most desirable tools for depressing noise. However, the traditional linear wavelets are not always suitable for any real world signals with strong background noises. In this work, we present a new morphological wavelet, named averaged dilation-erosion morphological wavelet (ADEMW), for depressing the noise in signals of firing shock force on the shoulder. Simulated signals with different SNRs are generated to evaluate and compare the proposed new wavelet scheme with the traditional linear wavelet and another two morphological wavelets presented in literature. Experimental results reveal that the presented ADEMW gives the most promising noise suppression performance. Then, the ADEMW is employed to process the real-world signals acquired from a firing shock force testing system. Processing results demonstrate that the ADEMW also outperforms another three wavelets obviously for depressing the strong background noise in the signals of firing shock force on the shoulder. The main impulsive components in the firing shock force can be clearly detected for analyzing the impacts on shoulder during the shooting process. The presented ADEMW scheme has provided a novel desirable tool for analyzing the complicated signals with strong noise.

Highlights

Firing shock force on shoulder is a human-rifle interaction force, which is generated between the buttstock and the shooter’s shoulder during the shooting process of a handheld rifle. e recoil force is the source power of firing shock force on the shoulder. e precise measurement of this force during shooting is one of the most significant issues in the research of human-rifle interaction system [1, 2]
E main advantage of Morphological wavelet (MW) presented before is its ability to preserve the edge or gradient in the image or signal with sudden changes. It is not suitable for denoising because the filters involved in the original MW are not designed for depressing the noise. us, a novel morphological wavelet, named averaged dilation-erosion morphological wavelet (ADEMW), is proposed for depressing noise in this work. Both simulated signals and real signals of firing shock force on the shoulder are utilized to verify the effectiveness of the presented scheme. e traditional linear wavelet and another two morphological wavelets are employed for a comparison. e experimental results have demonstrated the promising ability of our proposed ADEMW scheme to suppress the strong noise in firing shock force on the shoulder. erefore, we can analyze the main impact exerted on the shoulder during the shooting process more effectively
The morphological lifting schemes demonstrate various advantages in the field of signal analysis, there are still some limitations that exist in practice. e most significant advantage of the original MW is its excellent ability to process sudden changes, such as impulses and edges in the input signal. e filters designed by original MW are not specialized for suppressing noise. erefore, based on the morphological lifting wavelets described above, an averaged dilation-erosion morphological wavelet (ADEMW) is developed in this work to depress the noise, especially the background noise introduced in the firing shock force measuring process

Summary

Introduction

Firing shock force on shoulder is a human-rifle interaction force, which is generated between the buttstock and the shooter’s shoulder during the shooting process of a handheld rifle. e recoil force is the source power of firing shock force on the shoulder. e precise measurement of this force during shooting is one of the most significant issues in the research of human-rifle interaction system [1, 2]. Both simulated signals and real signals of firing shock force on the shoulder are utilized to verify the effectiveness of the presented scheme. E experimental results have demonstrated the promising ability of our proposed ADEMW scheme to suppress the strong noise in firing shock force on the shoulder.

Results

Conclusion