How to get Z parameter?

ads 1-port z-parameter

Hi everybody!

If I do on wafer measurement with Cascade and HP8510C vector network analyzer (1-port measurement), and I only have S11 data from S parameter, how am I going to get Z parameter or Y parameter from S11 only?

Can anybody kindly help me, please? Thanks.

Dear,

Check Attached PDF File.This is an application note from HP(Agilent) about

S-Parameters that contains formulas & Relationship between S-Param with

Z,Y & H Params.

Good Luck!

Can you please convert the file into other format since i cannot open .rar files. Or how can I open it? Anyway, thanks for your help.

fazlina said:

Can you please convert the file into other format since i cannot open .rar files. Or how can I open it? Anyway, thanks for your help.

Click to expand...

Dear,

Same file in zip format. for openning you can use winzip or winrar( trial versions)

(winrar : zip & rar,winzip nly zip) zip files also opened without any utility with

WinXP.

note : You can Also use FREE 7-ZIP from www.7-zip.org to open Zip and Rar Files.

it is also available for Various OS ( Windows,Linux,...)

The main features of 7-Zip:

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Good Luck!

You are being a little sloppy with your terminology, and it is getting you into big trouble.

You did not measure S11 on your one port device. You measured the reflection coefficient. To measure "S11" you needed to start with a 2 port device, and to put a 50 ohm load on the unused port. Clearly, you just measured the reflection coefficient (which is load independent, as there is no port to add a load to).


Similarly, you can not convert a reflection coefficient into Z11, since such a Z matrix assumes a two port device again. Z11 would be the impedance of port 1 with port 2 set so I2=0.

What you CAN do is to convert reflection coefficient data on a 1 port into impedance data for that 1 port.

Assuming you did your measurement on a 50 ohm network analyzer, then the complex impedance of the device is:

Z = 50 * [(1+ρ)/(1-ρ)] where ρ is the reflection coefficient. (ρ is, of course, a complex number).