In this paper, we address the problem of blind denoising for laser detection and ranging equipment(Li DAR) based on estimating noise level from Li DAR pulse echo. We first provide rigorous statistical analysis on the ...In this paper, we address the problem of blind denoising for laser detection and ranging equipment(Li DAR) based on estimating noise level from Li DAR 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 Li DAR 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.展开更多
基金supported by the Science and Technology Project of Tianjin(No.18ZXZNGX00230)
文摘In this paper, we address the problem of blind denoising for laser detection and ranging equipment(Li DAR) based on estimating noise level from Li DAR 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 Li DAR 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.
