Radio Environment Map Construction Method for Complex Scenes Based on Inverse Obstacle Distance Weighted
Addressing the issues of inadequate performance in constructing Radio Environment Maps(REMs)in complex scenarios due to non-penetrable obstacles for electromagnetic waves,and the arbitrary selection of interpolation neighborhoods imposed by Inverse Distance Weighted(IDW),a Voronoi-based Inverse Obstacle Distance Weighted algorithm(VIODW)is proposed in this paper.This algorithm adaptively defines interpolation neighborhoods for each interpolation point by creating Voronoi diagrams incorporating obstacles for numerical computation.Then,using the ANY-Angle(ANYA)Algorithm to calculate the obstacle distance between the interpolation point and each monitoring station within the interpolation neighborhood.Finally,by calculating the weighted mean with the inverse power of the obstacle distance as the weight,the value at the point is obtained,achieving high-precision construction of REMs in complex scenarios.Both theoretical analysis and simulation results demonstrate that this method offers excellent construction accuracy and can accurately model the power distribution of electromagnetic waves in complex scenarios.Hence,it provides an effective approach for high-precision REM construction in complex scenarios.
Radio Environment Map(REM)Inverse Distance Weighted(IDW)interpolationObstacle distanceComplex scenarios