Analysis of Non-Homogenous Multiple Target Sparse Reconstruction in Through-the-Wall-Radar Imaging with Path-Loss Compensation

This study evaluates the effectiveness of a path-loss compensator model for Through-the-Wall Radar Imaging (TWRI) to improve target detection in rescue and military operations. While the existing model assumes target homogeneity, this study assesses its effectiveness for non-homogeneous targets using MATLAB software. The results indicate that the path-loss compensator increases the Probability of Detection by 1.2% for two targets and by 0.9% for three targets with Gaussian distribution. Additionally, it improves the Signal-to-Clutter Ratio by 16.3% and 4% for configurations involving two and three targets, respectively. These enhancements highlight the model’s potential for detecting targets with varying reflectivity, rendering it applicable to practical TWRI scenarios.