Integrate EVM about pylink HOT 3 OPEN

I ran a quick test as follows:

• The transmitter was modeled as a perfect sum of signal power and noise power

• I used the pre-existing power infrastructure to compute received signal and noise power

• I updated the received signal power to reflect the correct portion which is signal power from the transmitter vs amplified noise from the transmitter

• I computed the received amplified noise power from the transmitter by taking the noise portion of the received power at the demodulator

• That received noise power was spread across the allocation (not the occupied BW because of the issue with cycles there)

• The definition of EVM used was fairly simple: EVM = P_T,N / P_T,S, or noise power over signal power.

• The test at 5% EVM on a 2W transmission with realistic parameters yielded a 1dB difference in overall link margin.

• My mentor considers that to be a reasonable estimate.

from pylink.

Max bitrate should be calculable for a given modcode/cn0...just have to switch to linear space.

https://photos.app.goo.gl/BBumB8HxBfAczLog7

from pylink.

With a defined modcode, which can be computed with the above formulation for max possible bitrate, we can spread the amplified noise from the transmitter across the receive bandwidth and augment the noise spectral density to incorporate both the thermal noise and amplified noise from the transmitter.

This one is REALLY making me think it might be better to switch the entire computational chain over to a friis cascade starting with the transmitter.

from pylink.