Teradyne, Inc.
Determining error vector magnitude using cross-correlation

Abstract:

An example method determines an error vector magnitude using automatic test equipment (ATE). The method includes demodulating data received at a first receiver to produce first symbol error vectors, where each first symbol error vector represents a difference between a predefined point on a constellation diagram and a first measured point on the constellation diagram generated based on at least part of the data received by the first receiver; demodulating the data received at a second receiver to produce second symbol error vectors, where each second symbol error vector represents a difference between the predefined point on the constellation diagram and a second measured point on the constellation diagram generated based on at least part of the data received by the second receiver; and determining the error vector magnitude for the data based on the first symbol error vectors and the second symbol error vectors.