基于三维高斯波束的传播损耗快速预测算法

    Fast Prediction Method for Radio Propagation Loss Based on 3D Gaussian Beams Tracing

    • 摘要: 针对复杂城市环境下利用三维高斯波束跟踪进行电波传播预测时,由于波束数目多且传播场景复杂,碰撞检测耗时长,导致预测效率低的问题,提出了一种基于网格分区的有效区域选择加速算法,该方法先对传播场景进行三维网格分区,并根据有效射线集中区域选择有效场景区域,以减少无效射线的跟踪,同时通过准确定位射线所在分区,减少相交测试的数目。仿真结果表明,加速后模型预测误差小于8dB,满足工程实际精度需求,而预测效率可提高约85%,适用于大规模复杂场景下的无线网络的规划、设计和优化。

       

      Abstract: In traditional Gaussian beams tracing algorithms, a large number of beams need to be taken into consideration for accurate propagation loss prediction, which leads to high complexity and high computational consumption. An algorithm to speed up a beam tracing engine is described which allows to select arbitrary areas around transmitters and receivers combining with 3D mesh grid approach. By using a grid space division, the area selection is defined by the union of all voxels crossed by the straight lines linking the transmitter and each receiver. Then the BT engine will only search the rays which interact with facets contained in the selected area. The simulation results show that the precision of our method is almost the same as traditional beam tracing methods while the computation time is far less than the latter. The method is particularly suitable for evaluating propagation in urban scenarios where not all the objects are involved in the ray propagation between the transmitter and the receiver.

       

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