I simulated the measurement that calculated the waveform quanlity of the random signal, and have some problems about the value of the waveform quanlity.
I refered to the article "Overview of code-domain power, timing, and phase measurements" from the Hewlett-Packard Journal, and simulated the processing of calculating the waveform quanlity under the environment of the matlab software.
First, i generated the random signal through interpolating and filting, and the signal is 1.6 MHz bandwidth, 2.56 MHz sampling rate, and produced the reference data by took a section of the random signal. Then, i calculated the Rho by the reference data and the randsom signal, and got the ideal value that equal to 1 at a synchronous point.
Second, i interpolated the random signal by 2 factor, afterward, i decimated the signal that been interpolated by 2 factor, so the sampling rate of the final signal was equal to the reference. I calculated the Rho by the same method with the first step, and the value is much less than 1.
Third, i interpolated the orignal random signal, and calculated the Rho by reference data, and find the more larger multiples of the interpolation, the more closed to 1.
Why did i get the much less than 1 at the second step, and the influence of interpolation?
I refered to the article "Overview of code-domain power, timing, and phase measurements" from the Hewlett-Packard Journal, and simulated the processing of calculating the waveform quanlity under the environment of the matlab software.
First, i generated the random signal through interpolating and filting, and the signal is 1.6 MHz bandwidth, 2.56 MHz sampling rate, and produced the reference data by took a section of the random signal. Then, i calculated the Rho by the reference data and the randsom signal, and got the ideal value that equal to 1 at a synchronous point.
Second, i interpolated the random signal by 2 factor, afterward, i decimated the signal that been interpolated by 2 factor, so the sampling rate of the final signal was equal to the reference. I calculated the Rho by the same method with the first step, and the value is much less than 1.
Third, i interpolated the orignal random signal, and calculated the Rho by reference data, and find the more larger multiples of the interpolation, the more closed to 1.
Why did i get the much less than 1 at the second step, and the influence of interpolation?
A human can get a good estimate of Rho by plotting the ideal and measured results on the same trace, and visually estimating how much overlap there is between the two traces. If you use matlab to plot your results, does the calculated Rho correlate with your visual impression?