We've routinely posted on how you can characterize your total measurement system to gain important "situational awareness" when using an oscilloscope to make sensitive measurements. The knowledge gained from these tests helps you properly interpret your measurement results so that you can deduce what is actually going on with your circuit, versus what is an artifact of the measurement system. Listed here are nine important things you should know before making sensitive measurements with your oscilloscope, with links to blog posts that instruct you how to test them.
You need to test, we're here to help.
You need to test, we're here to help.
Showing posts with label RF pickup. Show all posts
Showing posts with label RF pickup. Show all posts
01 February 2021
Situational Awareness: RF Noise in the Lab
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| Fig. 1. Time domain (top) and spectral (bottom) views of signal shown in SPECTRUM-1 on a WaveSurfer 4000HD. |
One way to read RF is through spectral analysis of Fourier transforms (DFT and FFT). FFTs take a time domain view of a signal (e.g, amplitude versus time trace) and change it into a spectrum of amplitude plotted as a function of frequency. Frequency spectrums are great for observing signals than are asynchronous with the process being measured. They have a lower noise floor and offer better dynamic range than do time domain plots. Consider the views of the same signal shown in the time domain and frequency domain in Fig. 1.
12 December 2018
Squeezing More Bandwidth From a 10x Passive Probe
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| Figure 1: Shown is a comparison of inherent oscilloscope noise and noise at the shorted tip of a 10x passive probe |
22 January 2018
Power-Rail Noise: Small Signal, Big DC Offset
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| Figure 1: Your scope's vertical adjust has its limits |
18 January 2018
Understand RF Pickup When Measuring Power Rails
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| Figure 1: Teledyne LeCroy's HDO8108A sports a very low noise floor of about 145 μV |
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