Group matching method for search-space reduction, development, proof, and comparison

This paper proposes the Group Matching Method (GMM), an interpretable RSS fingerprint matching framework for indoor localization. The method reduces irrelevant training samples before KNN inference, improving localization accuracy and computational efficiency while maintaining model transparency.