Title :
Embedded system to characterize HPA and calculate nonlinear predistortion neural network´s weights for HPA
Author :
Tran, Lan H. ; Mai, Trang V. ; Molnar, Joseph A.
Author_Institution :
Naval Res. Lab., Washington, DC, USA
Abstract :
A major concern relating to the transmission of satellite has been the linearity of available high power amplifier (HPA). Travelling wave tube amplifier (TWTA) offer the greatest efficient and power capacity, but are some limited in linearity. The paper discuss the development a synthetic instrument with most advance DSP, FPGA and very fast DAC - A/D to generate, capture and calculation for BER, EVM as stated in L.H. Tran et al. (2003).The system can configurable to calculate nonlinear pre-distortion neural network´s weights for RF power amplifier.
Keywords :
analogue-digital conversion; digital signal processing chips; digital-analogue conversion; embedded systems; error statistics; field programmable gate arrays; instruments; neural nets; travelling wave amplifiers; ADC; BER; BP; DAC; DSP; DVB; FPGA; OFDM; QAM; QPSK; RF power amplifier; embedded system; high power amplifier; nonlinear predistortion neural network; synthetic instrument; travelling wave tube amplifier; Digital signal processing; Embedded system; Field programmable gate arrays; High power amplifiers; Instruments; Linearity; Neural networks; Power amplifiers; Predistortion; Satellites;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Print_ISBN :
0-7803-8248-X
DOI :
10.1109/IMTC.2004.1351078
