OK - After looking at the diagram you posted (thanks) and thinking about it further, I do think that it makes sense to me. How it's implemented is detail and it would be fascinating to know the details and results showing front/back sensing efficiency and IQ loss, which should be considerable.It’s not a guess, it's optics. In-focus subjects have no phase difference, out-of-focus subjects do, and that difference is proportional to the magnitude of the defocus. The phase difference is a vector quantity – it has magnitude and direction, so the AF system can calculate how far and in which direction to move the focal plane. That’s the fundamental principle of phase detect AF.
In a DSLR, the dedicated AF sensor has lines of pixels to accommodate the spread of the phase difference. In a DPAF sensor, separated pixels are used for the same purpose. The separation is not that large a distance for PDAF (a few pixels apart), in a DSLR AF system there is a secondary image-forming lens in front of the AF sensor that is some distance away, which means greater physical separation of the phases.
But I now contend that it's not "phase difference" that being sensed at all, and thus the name is misleading. It is instead sensing the different direction of photos coming from the left vs right of the front of the camera lens. The different angle of travel is what's being sensed. This is not the phase. If you had an (ideal) wide laser beam with a perfectly parallel travel and flat plane of phase syncronized intensity and it reaches the (ideal) camera lens which has it perfectly focused (at infinity), then the photons hitting the edge of the lens have a much further distance to travel to the focus point compared to those hitting the center of the lens. Extra travel can be measured in many wavelengths of light (Eg. green). These waveforms would indeed interfere with each other and would start self-cancelling the strength at the (ideal) focal point. But that's not what is being sensed here - that would be better termed as "geometric difference" detection, or maybe something like baseline distance detection.
Or, If I'm completely wrong on this (I often am), then as Rosanna Rosanna-Danna once said, "Never Mind"
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