Analysis of the fine structure of HF ground backscatter and ionospheric scatter signals based on EKB radar data

TL;DR

This paper analyzes HF ground backscatter and ionospheric scatter signals using EKB radar data, developing models and algorithms to distinguish between them based on statistical and Bayesian methods.

Contribution

It introduces a new model for ionospheric and ground backscatter signals and a Bayesian-based technique for their separation using extensive radar data.

Findings

Successful separation of ground backscatter and ionospheric signals

Development of a Bayesian algorithm for signal classification

Statistical validation of the separation technique

Abstract

The analysis was carried out of the scattered signal in the cases of ground backscatter and ionospheric scatter. The analysis is based on the data of the decameter coherent EKB ISTP SB RAS radar. In the paper the signals scattered in each sounding run were analysed before their statistical averaging. Based on the analysis and on previously studied mechanisms, a model is constructed for ionospheric scatter and ground backscatter signals. Within the framework of the Bayesian approach and based on a large amount of the data the technique and algorithm for separating these two types of signals are constructed. The statistical analysis of the results was carried out based on the EKB ISTP SB RAS data.