A Background Spread-Spectrum Radio Frequency Nonlinear Parameter Measurement Technique

Autor: Lawrence E. Larson, Adam R. Wichman
Rok vydání: 2018
Předmět:
Zdroj: IEEE Transactions on Signal Processing. 66:4516-4526
ISSN: 1941-0476
1053-587X
Popis: We report a new correlation-based direct sequence spread-spectrum technique that estimates low-pass-equivalent Volterra coefficients for weakly nonlinear RF systems. The methodology provides robust coefficient estimates at test signal amplitudes well below the operating signal level during normal system operation, demonstrating that the technique can be used for “background” nonlinearity measurement. We demonstrate the methodology by measuring third-order Volterra kernels for a power amplifier chain operated in compression with a 10 MHz bandwidth signal at 1960 MHz.
Databáze: OpenAIRE