Echo Signal Extraction Based on Improved Singular Spectrum Analysis and Compressed Sensing in Wavelet Domain

IEEE Access

Jian Yang¹  Min Zhang²  Minzhou Luo²  Qinyang Qu²  Hao Yang²  Xiaobin Xu²  Zhiying Tan² 

[1] College of Mechanical Engineering, Yangzhou University, Yangzhou, China;College of Mechanical and Electrical Engineering, Hohai University, Changzhou, China;

关键词: Laser radar;    signal denoising;    singular spectrum analysis;    compressed sensing;    wavelet transforms;   

DOI  :  10.1109/ACCESS.2019.2918218

来源: DOAJ

【 摘 要 】

A novel framework of signal extraction is proposed based on improved singular spectrum analysis (SSA) and compressed sensing (CS) for laser radar. The improved signal selection method, which locates a cut-off point on the singular spectrum curve, is fused into the SSA to reduce the noise. Afterward, the CS in the wavelet domain is employed to acquire the observation vector, and the improved reconstruction algorithm with a hard threshold denoising method reduces the noise furthermore. The simulations and experiments are performed to verify the superiority of the proposed algorithm compared with other algorithms. The proposed algorithm can enhance a signal-to-noise ratio while reducing the distortion of the received signal.

【 授权许可】

Unknown