Title :
Fifth-order Volterra kernel estimation for a nonlinear communication channel with PSK and QAM inputs
Author :
Cheng, Chi-Hao ; Powers, Edward J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
A new approach, based on higher-order statistics, to estimate up to 5th-order Volterra kernels for a narrowband nonlinear communication channel is proposed. The approach is based on the characteristics of IID, circularly symmetric zero-mean complex-valued Gaussian random variables. The algorithm can also be used to identify a nonlinear channel with uniformly IID rectangular M-QAM (M⩾4) input, and with uniformly IID M-PSK input with some minor modification
Keywords :
Gaussian processes; Volterra series; higher order statistics; nonlinear estimation; phase shift keying; quadrature amplitude modulation; random processes; telecommunication channels; M-PSK; M-QAM; complex-valued Gaussian random variables; fifth-order Volterra kernel estimation; higher-order statistics; narrowband nonlinear communication channel; Artificial intelligence; Communication channels; High power amplifiers; Higher order statistics; Kernel; Narrowband; Phase shift keying; Power engineering and energy; Quadrature amplitude modulation; Random variables;
Conference_Titel :
Statistical Signal and Array Processing, 1998. Proceedings., Ninth IEEE SP Workshop on
Conference_Location :
Portland, OR
Print_ISBN :
0-7803-5010-3
DOI :
10.1109/SSAP.1998.739428
