Difference between revisions of "Radar Velocity"
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The XE132 was set up as per the user guide, as was the Acconneer portable exploration tool. | The XE132 was set up as per the user guide, as was the Acconneer portable exploration tool. | ||
| − | Of interest to our application is the sparse short-time FFT visualisation as it allows the speed to be determined at different distances from the sensor. | + | Of interest to our application is the sparse short-time FFT visualisation as it allows the speed to be determined at different distances from the sensor. As can be seen from the gallery there is an FFT for each of the 6cm distant ranges, a matrix plot of the velocity-speed readout of the sensor. |
| + | |||
| + | Open question which need to be answered for this sensor are of question of how the lens impacts performance, if the Doppler shift of water can be measured, and at what angle to the flow is the Doppler shift successfully measured. | ||
Revision as of 05:38, 27 January 2021
This page will be dedicated to a radar velocity sensor.
27th January 2020
We have ordered some radar sensors from Acconneer, namely the A111, in the XM132, and XE132. And some radar lenses for these.
XE132 Front
XE132 Back
Acconneer Python Portable Exploration Tool in sparse short time FFT mode
The XE132 from acconeer comes with pre-compiled binary software, that allow it to connect via micro USB to a computer and create visualizations of the data.
The XE132 was set up as per the user guide, as was the Acconneer portable exploration tool.
Of interest to our application is the sparse short-time FFT visualisation as it allows the speed to be determined at different distances from the sensor. As can be seen from the gallery there is an FFT for each of the 6cm distant ranges, a matrix plot of the velocity-speed readout of the sensor.
Open question which need to be answered for this sensor are of question of how the lens impacts performance, if the Doppler shift of water can be measured, and at what angle to the flow is the Doppler shift successfully measured.
