stellar_amateur/omniyagi
stellar_amateur/omniyagi
2
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

CENTER THE FUCKING IMAGE

Browse Source
This commit is contained in:
Boyan 2022-12-02 19:59:51 +01:00
parent 0ed8e45578
commit 6c4198a30b
1 changed files with 8 additions and 18 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

26
README.md
View File

@ -1,31 +1,22 @@
<style>
img {
display:flex;
justify-content:center;
}
.divvy {
width:100%;
}
</style>
<div class="divvy">
# Omniyagi
<sub>Disclaimer: This is just an opinion.</sub>
<sub>Disclaimer: This is just an opinion.</sub>
## Introduction
The usual omnidirectional antenna has a radiation pattern of:
<img src="https://upload.wikimedia.org/wikipedia/commons/e/e1/L-over2-rad-pat-per.jpg"/>
<img style="display:flex; justify-content:center" src="https://upload.wikimedia.org/wikipedia/commons/e/e1/L-over2-rad-pat-per.jpg"/>
The usual yagi antenna has a radiation pattern as shown in:
<img src="https://external-content.duckduckgo.com/iu/?u=http%3A%2F%2Fwww.raymaps.com%2Fwp-content%2Fuploads%2F2012%2F02%2FYagi-Antenna-3D-Radiation-Pattern.jpg&f=1&nofb=1&ipt=fe9716b06b1dcb895fc304ee63e020191fc69416890aca1aecc2fe073115926c&ipo=images"/>
<img style="display:flex; justify-content:center" src="https://external-content.duckduckgo.com/iu/?u=http%3A%2F%2Fwww.raymaps.com%2Fwp-content%2Fuploads%2F2012%2F02%2FYagi-Antenna-3D-Radiation-Pattern.jpg&f=1&nofb=1&ipt=fe9716b06b1dcb895fc304ee63e020191fc69416890aca1aecc2fe073115926c&ipo=images"/>
For the sake of brevity, let these simplifications of said radiation patterns be true(within the thought experiment).
<img src="images/omni.png"/>
<img src="images/yagi.png"/>
<img style="display:flex; justify-content:center" src="images/omni.png"/>
<img style="display:flex; justify-content:center" src="images/yagi.png"/>
## Problem
@ -44,11 +35,11 @@ We know the distances between each of the points.
Both strategies involve direction finding of some sort. [Direction finding](https://en.wikipedia.org/wiki/Direction_finding) using vector intersection is quite self explanatory, you take the antenna in which the signal is the strongest, take the two nearest antennas and find the point in which the vectors overlap. The point left at the end is our location.
<img src="https://upload.wikimedia.org/wikipedia/commons/thumb/c/cd/Triangulation.svg/800px-Triangulation.svg.png"/>
<img style="display:flex; justify-content:center" src="https://upload.wikimedia.org/wikipedia/commons/thumb/c/cd/Triangulation.svg/800px-Triangulation.svg.png"/>
When it comes to circles, however, the strategy is different. [Trilateration](https://en.wikipedia.org/wiki/Trilateration) is a way of pinpointing a location using ranges. The approach is different from the usual, as we do not have multiple antennas, but rather a single moving one. Trilateration goes like: Get readings from 3 different points(it would help if they were polar opposites). Find the intersection of the three circles that you have. That's the point we're looking for.
<img src="https://www.researchgate.net/profile/Constantinos-Patsakis/publication/277077361/figure/fig1/AS:613444243968081@1523267913923/Trilateration-attack-with-exact-distances.png"/>
<img style="display:flex; justify-content:center" src="https://www.researchgate.net/profile/Constantinos-Patsakis/publication/277077361/figure/fig1/AS:613444243968081@1523267913923/Trilateration-attack-with-exact-distances.png"/>
### Expected results
YS is not as effective, however it is way more efficient than OMS on many levels. At least on paper. A list of all the theoretical pros of YS over OMS:
@ -81,4 +72,3 @@ That is not to say that OMS does not have pros:
Graphs made with GeoGebra
</div>