MATLAB Simulation of LANDMARC Algorithm with Source Code

This MATLAB source code simulates the LANDMARC positioning algorithm, which estimates target locations by computing weighting factors, k-values, and positioning errors. The implementation begins by reading and preprocessing input data, including filtering and noise reduction operations to ensure data quality. The core algorithm then calculates dynamic weighting factors and optimal k-values by analyzing multiple parameters such as signal strength indicators and reference point coordinates. During computation, the program utilizes Euclidean distance measurements and nearest-neighbor selection mechanisms to determine reference point influence. Finally, the system calculates positioning errors through comparative analysis with ground truth data and implements error correction routines to optimize localization accuracy. The complete simulation provides an effective framework for target localization with high-precision results, demonstrating practical implementation of fingerprint-based positioning methodology.