XIA Xian-zhao,CHEN Rui,WANG Pin-quan,ZHAO Yi-qiang.Blind denoising for LiDAR signal based on high dimensional eigenvalue analysis[J].Optoelectronics Letters,2019,15(6):406-410 Blind denoising for LiDAR signal based on high dimensional eigenvalue analysis Author Name Affiliation XIA Xian-zhao  School of Microelectronics, Tianjin University, Tianjin 300072, China  CHEN Rui  School of Microelectronics, Tianjin University, Tianjin 300072, China  WANG Pin-quan  School of Microelectronics, Tianjin University, Tianjin 300072, China  ZHAO Yi-qiang  School of Microelectronics, Tianjin University, Tianjin 300072, China  Abstract:       In this paper, we address the problem of blind denoising for laser detection and ranging equipment (LiDAR) based on estimating noise level from LiDAR pulse echo. We first provide rigorous statistical analysis on the eigenvalue distributions of a sample covariance matrix. Then we propose an interval-bounded estimator for noise variance in high dimensional setting. To this end, an effective blind denoising filtering method for LiDAR is devised based on the adaptive estimation noise level. The estimation performance of our method has been guaranteed both theoretically and empirically. The analysis and experiment results have demonstrated that the proposed algorithm can reliably infer true noise levels, and outperforms the relevant existing methods. Hits: 755 Download times: 0 View Full Text    Download reader