Radio Environment Map Construction Method for Complex Scenes Based on Inverse Obstacle Distance Weighted

TAO Shifei; WU Yujiang; LUO Jia; DING Hao; WANG Yuanhe

doi:10.11999/JEIT231374

Volume 46 Issue 8

Aug. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(8): 3210-3218

TAO Shifei, WU Yujiang, LUO Jia, DING Hao, WANG Yuanhe. Radio Environment Map Construction Method for Complex Scenes Based on Inverse Obstacle Distance Weighted[J]. Journal of Electronics & Information Technology, 2024, 46(8): 3210-3218. doi: 10.11999/JEIT231374

Citation:

TAO Shifei, WU Yujiang, LUO Jia, DING Hao, WANG Yuanhe. Radio Environment Map Construction Method for Complex Scenes Based on Inverse Obstacle Distance Weighted[J]. Journal of Electronics & Information Technology, 2024, 46(8): 3210-3218. doi: 10.11999/JEIT231374

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Radio Environment Map Construction Method for Complex Scenes Based on Inverse Obstacle Distance Weighted

doi: 10.11999/JEIT231374 cstr: 32379.14.JEIT231374

1.
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, NanJing 210094, China
2.
National Key Laboratory of Electromagnetic Space Security, Chengdu 610036, China
3.
Engineering Training Center, Nanjing University of Science and Technology, NanJing 210094, China

Funds: The National Key Laboratory of Electromagnetic Space Secunrity

Received Date: 2023-12-13
Rev Recd Date: 2024-02-28

Available Online: 2024-03-08

Publish Date: 2024-08-30

Abstract

Abstract

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) interpolation,
- Obstacle distance,
- Complex scenarios

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References(22)

References

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