Implementation of Adaptive-Bayesian DStoch technique for obtaining winds from MST radar covering higher altitudes.

ABSTRACT: It is challenging to estimate winds accurately from higher altitudes using VHF-MST radar. The current study introduces the Adaptive-Bayesian Deterministic Stochastics Technique (ADStoch), which implements an Empirical Bayesian 1D prediction method using stochastics to analyze radar signals. A new and robust estimator for empirical wavelet shrinkage with Gaussian prior of the nonzero mean for wavelet coefficients is presented, which makes the current prior different from other priors. The mean parameters and the prior covariance hyperparameters follow a pseudo maximum likelihood method for computation. Details on the implemented algorithm developed from scratch using C# are also presented. This technique outperforms contemporary techniques discussed in this context that can recover signals

SUBMITTER: Padhy MR 

PROVIDER: S-EPMC10900930 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature