Anritsu MS46122A s-parameter change x-axis time to frequency

[Oh.MJ]

I am trying to import s-parameter data of Anritsu MS46122A in labview.

So I took the VNA MS46XXX driver example and used it.

The S parameter in the example is a graph with time on the x-axis.

What I want is a graph where the x-axis is frequency.
What should I do?
Thank you

[GerdW]

Hi Oh,

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@Oh.MJ wrote:

The S parameter in the example is a graph with time on the x-axis.

What I want is a graph where the x-axis is frequency.
What should I do?

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Change the X axis label to "frequency".

Set the X axis scaling properties as needed…

[Oh.MJ]

I've already tried to change it to frequency through the settings. But there is no frequency there.
Can you let me know if there is any other way to change it?
thank you

[GerdW]

Hi Oh,

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@Oh.MJ wrote:

I've already tried to change it to frequency through the settings.
Can you let me know if there is any other way to change it?

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To change the axis label you just need to double-click it - or use the corresponding property node…

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@Oh.MJ wrote:

But there is no frequency there.

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In your VI you set the frequency range for your data request, like 1E7 to 2E10 Hz. This is your scale range!

[Oh.MJ]

I tried it in various ways, but I think the 'Read s-parameter' function block itself exports data in the time-domain.
Can you check 'Read s-parameters' and sub-blocks?
thank you
* The first picture is 'Read s-parameter', the second picture is 'Read Double Arb' and the third picture is 'Read Arb'.

[GerdW]

Hi Oh,

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@Oh.MJ wrote:

I tried it in various ways, but I think the 'Read s-parameter' function block itself exports data in the time-domain.

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Read the manual of your device to learn about the data you receive!

Right now you get an array of values: you need to handle that data as is described in the manual…

[SKJJJ]

put one vi block from vna function pallet of FREQUENCY READ LIST , then take it as x axix  parameter,  S parameter out put is in mix mode real and imajinary both. separate them from cancatination in two different real and imajinary. then plot frequency vs real and frequency ve imajinary data.