A novel method for radio propagation simulation based on automatic 3D environment reconstruction
Summary (2 min read)
1. Introduction
- It consists of two steps: 3D scenario reconstruction and radio propagation simulation.
- The recognized objects are segmented and then vectorized to build the 3D environment database, in which the locations and materials of different objects are stored.
- The results from the proposed model indicate both efficiency and accuracy by comparing it to other advanced methods in the Munich scenario [1] .
- In Section 3, the authors describe the ray-tracing based radio propagation model, from which the evaluation procedure is implemented on the Munich scenario.
2. 3D Reconstruction Method
- In Fig. 2 (b), although most of the pixels are classified correctly, the edges between adjacent objects are not accurate enough.
- The authors in [6] solve this problem by manually indicating the misclassified parts, and then another classifier is used to adjust those pixels into the right classes.
- As it's intended to finish this procedure automatically in this work, the performance is improved by using color cues, which are frequently used for edge detection.
- A graph cut algorithm [8], [9] is employed to smoothly cut the edges based on cluster information.
- Dominant class is calculated by selecting maximum likelihood among all the classes for each cluster (see ( 3) and ( 4)),.
5. Each virtual point serves as new transmitter, and the
- All the reflected points are seen as virtual sources with same transmission power as real source, while with constraints in transmission angle.
- As shown in Fig. 8 , the reflection region is constrained by combining maximum transmission range and angle ¿V\0'V2-According to the Geometrical Theory of Diffraction [16] , diffracted rays are produced by incident rays which hit edges, corners or vertices of boundary surfaces.
- All the vertices and corners are obtained as a form of V¿ while searching for the reflected rays.
- Therefore, those vertices are automatically introduced as diffracted virtual sources.
3.2 Radio Propagation Model
- For a direct path d is the distance between TX and RX, for a reflected path and diffracted path, d is the distance between the virtual source and RX.
- This is calculated by accumulating the power reduction of each obstacle along the path.
- A(/) !_1 decreases when / increases, which means that the first object, with which the signal intersects, produces the most significant power loss.
- The signal first penetrates through a glassmade object, then through a concrete obstacle.
- At the end, the power loss at the receiver is the accumulated value among the directed, reflected and diffracted paths.
4. Experimental Results
- Tab. 2 compares the proposed method with other stateof-the-art technologies.
- The STD and ME of the proposed method are the smallest on METRO 200 and METRO 201, while they are slightly greater than CNET in METRO 202.
- The experimental results indicate that this novel approach has good efficiency and accuracy.
- A quantitative explanation for this improvement can be directed towards three reasons: the construction accuracy of the environment database is 82 %, the miss-classified pixels are 18 %.
- Furthermore, the propagation model is adequate in describing reduced dimensionality environments, and most of the.
Did you find this useful? Give us your feedback
Citations
Cites methods from "A novel method for radio propagatio..."
...The radio propagation model which is developed by us in [10], is used to estimate power loss of direct path between TX and RX....
[...]
...The automatic 3D outdoor environment reconstruction method proposed in [10] is efficient in modeling the outdoor scenes....
[...]
...Inspired by the work proposed in [10], a method is developed to automatically model the 3D indoor environment from a scanned 2D map without considering furniture for preliminary results....
[...]
Additional excerpts
...5D map with uniform height information [38]....
[...]
Cites methods from "A novel method for radio propagatio..."
...Using a computer vision and three-dimensional modeling software, combined with scenario data from the channel measurement campaign, reconstruct three-dimensional typical HST radio propagation environment, to construct an HST scenario library (He et al., 2012)....
[...]
References
7,413 citations
6,693 citations
"A novel method for radio propagatio..." refers background in this paper
...In [2] and [3], the identification of objects is made by shape feature descriptor....
[...]
6,598 citations
"A novel method for radio propagatio..." refers methods in this paper
...The estimated confidence value can be reinterpreted as a probability distribution using soft max transformation [7] to give the texture layout potentials:...
[...]
4,463 citations
3,199 citations