Wireless Interference Source Localization in Diverse Terrains: A C/N0 Weighted Clustering Centroids Approach

Abstract

The traditional methods for interference source localization often overlook actual terrain factors. In environments such as mountainous or urban areas, deviations in predicted positions occur due to factors like terrain and building obstructions. This discrepancy renders it challenging to select the most suitable suppression strategy for mitigating the impact of interference sources. This paper addresses the wireless radio wave propagation losses influenced by the superimposition of interference sources in varying terrain environments. It introduces path loss models adaptable to different terrains and conducts simulation and comparative analyses of signal losses in mountainous, urban, and plain terrains. Within the monitoring range, the paper proposes a method for partitioning anomalous areas based on simulated signal data and presents an interference source localization approach using the Carrier-to-Noise ratio (C/N0) weighted clustering centroids. The method involves setting thresholds for the C/N0 difference between interference and normal situations in different terrains, enabling the selection of effective receivers for centroid-weighted localization. Simulation results demonstrate the effectiveness of this approach across different terrains, monitoring ranges, and interference source quantities.