Graduate Reducing Gaussian Noise in Antenna Impedance Measurements

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The discussion focuses on measuring antenna impedance over time while dealing with Gaussian noise in the measurements. The user seeks an efficient method to extract the 'pure' impedance value from the noisy data, beyond simply averaging multiple samples. Suggestions include employing a Bayesian approach to leverage prior information and improving the measurement circuit to minimize noise. Additionally, there are inquiries about the measurement setup and environment, indicating that external factors may contribute to the noise. Overall, the conversation emphasizes finding effective noise reduction techniques in impedance measurements.
uzi kiko
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Hi

I am measuring the impedance of an operating antenna over time.
Assuming the environment is not changing and the antenna temperature remain constant (No thermal drift) I am receiving the impedance value and additional noise that I want to model as Gaussian noise.
So my simple model is:
Y = X + Z. Where Y is the output, X is the 'pure' impedance value and Z is the noise.
My question is what is the best way to extract X.

Obviously I can sample many samples and find the average value, but I am looking for a less wasteful way.

Thanks a lot
Mosh
 
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You could use a Bayesian approach where you account for whatever prior information you have.
 
uzi kiko said:
Hi

I am measuring the impedance of an operating antenna over time.
Assuming the environment is not changing and the antenna temperature remain constant (No thermal drift) I am receiving the impedance value and additional noise that I want to model as Gaussian noise.
So my simple model is:
Y = X + Z. Where Y is the output, X is the 'pure' impedance value and Z is the noise.
My question is what is the best way to extract X.

Obviously I can sample many samples and find the average value, but I am looking for a less wasteful way.

Thanks a lot
Mosh
Can you post diagrams of your setup and the schematic of the circuit you are using to monitor its impedance? Are you doing this in an anechoic chamber or shielded room? I'm guessing most of the noise you are seeing is coming from your measurement circuit, and you may be able to reduce the noise of that circuit with some attention to details...
 
Thanks a lot.
Dale said:
You could use a Bayesian approach where you account for whatever prior information you have.

Thanks. This is exactly the answer I looked for.
 
berkeman said:
Can you post diagrams of your setup and the schematic of the circuit you are using to monitor its impedance? Are you doing this in an anechoic chamber or shielded room? I'm guessing most of the noise you are seeing is coming from your measurement circuit, and you may be able to reduce the noise of that circuit with some attention to details...
Thanks a lot on your answer.
 
I do not have a good working knowledge of physics yet. I tried to piece this together but after researching this, I couldn’t figure out the correct laws of physics to combine to develop a formula to answer this question. Ex. 1 - A moving object impacts a static object at a constant velocity. Ex. 2 - A moving object impacts a static object at the same velocity but is accelerating at the moment of impact. Assuming the mass of the objects is the same and the velocity at the moment of impact...

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