Quoi de neuf 2017
From Eric
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* [[Quoi de neuf 2012 | 2012]] | * [[Quoi de neuf 2012 | 2012]] | ||
* [[Quoi de neuf 2011 | 2011]] | * [[Quoi de neuf 2011 | 2011]] | ||
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| + | == June 2017 == | ||
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| + | * I have managed to use the fantastic DWM1000 chip: | ||
| + | [[File:dw1000m.jpg|200px|thumb|none]] | ||
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| + | ** This chip, manufactured by [https://www.decawave.com/products/dwm1000-module Decawave] can be used for in-door localization. It is based on the measurement of the time of flight of radio waves. | ||
| + | ** I have used small Arduino pro mini at 3.3V to drive the chips. Hopefully, all the dirty work has been done by Thotro who provides a nice librabry, see [https://github.com/thotro/arduino-dw1000/wiki/Testbed-and-Adapter-board here] and there. | ||
| + | ** To solder the chip, I use a [https://oshpark.com/shared_projects/UvijZHUf breakout board] designed by [Wayne https://sites.google.com/site/wayneholder/uwb-ranging-with-the-decawave-dwm1000] and manufactured on demand by [https://oshpark.com/shared_projects/UvijZHUf OSH park]. | ||
| + | ** One VERY important thing to now: the power supply must be strong enough to support the peak current demands of the DWM1000. If the power supply is too weak, it will work very erratically. By the way, if you use one of those small breadboard power supply, do not forget to add a LARGE CAPACITOR (see the pictures). | ||
| + | ** Up to now, I only use the existing library which gives me 3 distances. Now, I have to implement some smart trilateration algorithm. | ||
| + | ** Here is a picture of the 3 "anchors" and the tag: | ||
| + | [[File:dw1000m_3a_1t.jpg|200px|thumb|none]] | ||
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| + | == May 2017 == | ||
| + | |||
| + | == April 2017 == | ||
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| + | == March 2017 == | ||
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| + | == February 2017 == | ||
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| + | == January 2017 == | ||
Revision as of 10:08, 24 June 2017
Experiments carried out in the past (from 2011) are described hereafter:
Contents |
June 2017
- I have managed to use the fantastic DWM1000 chip:
- This chip, manufactured by Decawave can be used for in-door localization. It is based on the measurement of the time of flight of radio waves.
- I have used small Arduino pro mini at 3.3V to drive the chips. Hopefully, all the dirty work has been done by Thotro who provides a nice librabry, see here and there.
- To solder the chip, I use a breakout board designed by [Wayne https://sites.google.com/site/wayneholder/uwb-ranging-with-the-decawave-dwm1000] and manufactured on demand by OSH park.
- One VERY important thing to now: the power supply must be strong enough to support the peak current demands of the DWM1000. If the power supply is too weak, it will work very erratically. By the way, if you use one of those small breadboard power supply, do not forget to add a LARGE CAPACITOR (see the pictures).
- Up to now, I only use the existing library which gives me 3 distances. Now, I have to implement some smart trilateration algorithm.
- Here is a picture of the 3 "anchors" and the tag:
