Joe Smith 2021/09/16 10:04
On Thu, Sep 16, 2021 at 10:10 AM, John Galbreath wrote:
>
> No, I do know what a log or linear sweep is, and I know about octaves and
> decades, but I do not understand what effect the number of samples per
> decade has on the inverse FFT to convert the frequency domain operation of
> the VNA to the time domain operation of the resulting reflectometry
> information.
>From your original comment of "...however I still do not understand it and I think it would be beneficial if I could understand it." you leave it up to readers to guess at what you are not understanding. I suggest in the future, think about what it is you are wanting to ask, then provide the details up front.
When I came up with the idea of a quasi log and segmented sweeps, I was very limited with what I could do with the old HP8754A. You have no remote control over the frequency range. The HP8501A nomalizer had a very limited number of points it could collect. The only way to make narrow band measurement was to use an external RF generator. I learned a lot of the basics from that system.
Compared with my first VNA, the original NanoVNA offers some advantages when trying to control it with a PC. Still, it had a lot of the same problems. A very limited number of data points and no log sweep. Something I had worked around 15 plus years ago, still hunting me... Then again, it's only $50.
PDNs are also feature rich at lower frequencies and having a log sweep can really improve the measurement by reducing the time and processing required.
You won't find any mention of log or linear segmented sweeps in section 18 where the manual covers the TDR measurements. While the paper you linked and I assume read, mentions the bandpass mode not requiring frequencies that are harmonically related. I'm assuming there's something you are wanting to exploit. Just keep in mind as I mentioned earlier, the log isn't really a log but rather a sequence of segments just like with the linear mode. The difference being that each segments start frequency is based on a log rather than a linear function.