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A Novel 3D Ray-tracing Acceleration Technique Based on Kd-tree Algorithm for Radio Propagation Prediction in Complex Indoor Environment

机译:基于KD树算法在复杂室内环境中的KD树算法的新型3D射线跟踪加速技术

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This paper presents a new 3D ray tracing acceleration technique based on the kd-tree algorithm for predicting the radio coverage in complex indoor environment. For each ray emitted from the transmitter, all the valid ray propagation paths can be searched for by the hybrid ray tracing model which combines the shooting and bouncing ray (SBR) and the image method. The kd-tree algorithm is mainly used to accelerate the intersection test of ray tracing. In addition, the receiver power strength can be calculated based on geometrical optics (GO) and uniform theory of diffraction (UTD). As expected, the proposed method performs higher superiority than the conventional ray tracing model in terms of computational efficiency. Meanwhile, it also shows good agreement with measurements and the Winprop's simulated results with respect to computational accuracy.
机译:本文介绍了一种基于KD树算法的新型3D射线跟踪加速技术,用于预测复杂室内环境中的无线电覆盖。对于从发射机发射的每次光线,可以通过混合射线跟踪模型来搜索所有有效的射线传播路径,其结合拍摄和弹跳射线(SBR)和图像方法。 KD树算法主要用于加速光线跟踪的交叉点测试。此外,可以基于几何光学(GO)和统一的衍射理论(UTD)来计算接收器功率强度。正如预期的那样,在计算效率方面,所提出的方法比传统的射线跟踪模型更高。同时,它还与测量和WinProp的模拟结果相对于计算准确性展示了良好的一致性。

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