| 摘要 |
A method and apparatus for automated correlation of digital modulation impairment is described. The technique obtains soft decision data ( 116, 2502 ) and extracts signal space location information of sufficient resolution to distinguish different types of impairment to a digitally modulated signal. The technique applies an error vector magnitude mask ( 117, 502 ) and determines the signal-to-noise ratio of the digitally modulated signal. The technique applies impairment masks ( 118, 2504 ) and provides a characterization ( 119 ) of impairment affecting the digitally modulated signal ( 112 ). The technique determines a subset of the soft decision data ( 116, 2502 ) that falls within the impairment masks ( 118, 2505 ) and calculates correlation weights ( 2506 ). The technique may be used to identify, isolate, and classify different types of impairment. Given sufficient data collection, sources of impairments may be determined precisely.
|
