TY - GEN
T1 - Adaptive simulator of power amplifier nonlinearity based on piecewise polynomial
AU - Zheng, Zhe
AU - Song, Li
AU - Zhou, Yang
PY - 2012
Y1 - 2012
N2 - In the wireless communication system, power amplifier nonlinearity has bad effects on transmitting signals and changes channel characteristics. In order to exactly estimate communication system performance, a channel simulator needs to simulate power amplifier nonlinearity. This paper proposes a novel adaptive simulator based on piecewise polynomial. Learning from the digital predistortion technique of power amplifier, the proposed method uses adaptive study structure. It adds a nonlinear preprocessing module before the radio power amplifier of channel simulator, and uses adaptive algorithm to make their cascading characteristics gradually approach to the simulated power amplifier nonlinearity. In order to solve the disadvantages in traditional polynomial and look-up table techniques, the proposed method uses multiple lower-odd-order polynomials to piecewise fit nonlinearity for improving simulation precision. And the look-up table is used to store polynomial coefficients for reducing the computational load. The simulation results indicate that the proposed method provides high simulation precision and fast convergence speed.
AB - In the wireless communication system, power amplifier nonlinearity has bad effects on transmitting signals and changes channel characteristics. In order to exactly estimate communication system performance, a channel simulator needs to simulate power amplifier nonlinearity. This paper proposes a novel adaptive simulator based on piecewise polynomial. Learning from the digital predistortion technique of power amplifier, the proposed method uses adaptive study structure. It adds a nonlinear preprocessing module before the radio power amplifier of channel simulator, and uses adaptive algorithm to make their cascading characteristics gradually approach to the simulated power amplifier nonlinearity. In order to solve the disadvantages in traditional polynomial and look-up table techniques, the proposed method uses multiple lower-odd-order polynomials to piecewise fit nonlinearity for improving simulation precision. And the look-up table is used to store polynomial coefficients for reducing the computational load. The simulation results indicate that the proposed method provides high simulation precision and fast convergence speed.
KW - look-up table
KW - memory polynomial
KW - nonlinearity simulation
KW - piecewise fitting
KW - power amplifier
UR - http://www.scopus.com/inward/record.url?scp=84874331084&partnerID=8YFLogxK
U2 - 10.1109/ICCECT.2012.111
DO - 10.1109/ICCECT.2012.111
M3 - Conference contribution
AN - SCOPUS:84874331084
SN - 9780769548814
T3 - Proceedings - 2012 International Conference on Control Engineering and Communication Technology, ICCECT 2012
SP - 685
EP - 688
BT - Proceedings - 2012 International Conference on Control Engineering and Communication Technology, ICCECT 2012
T2 - 2012 International Conference on Control Engineering and Communication Technology, ICCECT 2012
Y2 - 7 December 2012 through 9 December 2012
ER -