Multi-Dimensional Data Processing ADS (Advanced Design System) is very important, as it can help us analyze and visualize the impact of multiple parameters on circuit performance.

In the previous section, we simulated the three-dimensional parameters (frequency, myL, myC) and obtained the following results:

We can get a very complex image.

To make it easier to understand, we analyze it step by step. First, we disable the two PARAMETER SWEEPs and then simulate:

At this point, we have a very typical frequency response graph. Double-click the graph, select S(2,1), and then click :

As you can see, S(2,1) depends on frequency (freq), has 101 data points, and the data type is complex. If we want to display this information on the page, we can choose to draw a table, select S(2,1), and note that we should not click “OK” directly . Double-click S(2,1) in Traces, and then change Trace Expression to what(S(2,1)):

Then click “OK”:

At this point, the information is already presented in the table.

Next, we enable both PARAMETER SWEEPs and run the simulation:

At this point we can see that S(2,1) depends on three parameters, namely myC, myL and freq. In fact, the trace we see is composed of a series of points. In this case, there are 19*19* 101 points. We can double-click the label of the y-axis of the plot , then select Trace Expression and change it to dB(S(2,1)[0,0,::]) (a specific value in a three-dimensional array, where :: refers to a wildcard, meaning all data in the range), and then we can see that there is only one curve on the plot:

If we want to know where this curve is in the original plot, we can continue to interpolate S(2,1):

But now, the red curve is covered. At this time, we double-click the blue curve cluster, and then in the “Trace Options”, change the line type to “DotDot”, change the line thickness (Thickness) to 0.1, and then change it to an inconspicuous color like gray:

If it is still not very obvious, we can bold the red curve, or double-click to highlight the curve.

Next article: ADS Tutorial (XVI) Using Sliders for Data Processing