I've been looking into class D amplifiers for a while now, and the hypex / purifi amps seem to always be on top. I know they use some aggressive feedback, but the main question I have is how they get high resolution from their somewhat low frequency delta sigma modulator. I assume they are using a 1-bit delta sigma modulator that they feed into the power stage and if you use some tools like delta sigma toolbox and input some parameters with low OSR that equates to around a 500khz sample rate then you will get a SNR that is low 50-80db.
Maybe I am thinking of this incorrectly, but as far as I can tell this low SNR is proportional to the OSR and is made up of random quantization noise in band. So how are they able to get higher resolution out of a signal that has random noise? Does the negative feedback directly modify the analog signal that is coming out? Is the noise no longer random when it is within a closed loop?
In delta sigma toolbox, the SNR is also proportional to the order of noise shaping. At some point with a 1-bit signal, saturation would occur with higher order noise shaping, but maybe the control loop is noise shaping itself? So maybe the control loop causes some better noise shaping than what can be calculated by the delta sigma toolbox? Or maybe you can't really compare delta sigma toolbox to the Hypex implementation because they are just functionally different?
It seems very hard to find information on this, and I can't say I understand it too well. Any feedback would be much appreciated.
Maybe I am thinking of this incorrectly, but as far as I can tell this low SNR is proportional to the OSR and is made up of random quantization noise in band. So how are they able to get higher resolution out of a signal that has random noise? Does the negative feedback directly modify the analog signal that is coming out? Is the noise no longer random when it is within a closed loop?
In delta sigma toolbox, the SNR is also proportional to the order of noise shaping. At some point with a 1-bit signal, saturation would occur with higher order noise shaping, but maybe the control loop is noise shaping itself? So maybe the control loop causes some better noise shaping than what can be calculated by the delta sigma toolbox? Or maybe you can't really compare delta sigma toolbox to the Hypex implementation because they are just functionally different?
It seems very hard to find information on this, and I can't say I understand it too well. Any feedback would be much appreciated.