Multiscale NLOS Mitigation Algorithm Based on Haar Wavelet

In our research on the Haar wavelet-based multiscale NLOS suppression algorithm, we developed a comprehensive program that generates RMSE plots and processes data across different NLOS environments and signal distributions. The implementation utilizes Haar wavelet decomposition to analyze NLOS signals at multiple scales, enabling effective denoising and error mitigation. The core algorithm involves wavelet coefficient thresholding and multiscale reconstruction techniques to suppress NLOS interference while preserving signal integrity. Through this program, we can perform detailed analysis of NLOS signal characteristics and patterns across various scenarios, providing valuable insights for further research and practical applications. The code structure includes modules for signal preprocessing, wavelet transformation, threshold optimization, and performance evaluation using RMSE metrics. Overall, this algorithm's research and development establish a solid foundation for advancements in wireless communication technology, particularly in challenging NLOS conditions.