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| Analysis and Modeling on Expanding Volterra-Series Behavior Model for Nonlinear Power Amplifier with Memory Effects |
| Nan Jing-chang①②; Liu Yuan-an①; Li Xin-chun②; Gao Jin-chun① |
①Beijing University of Posts and Telecommunications, Beijing 100876, China;
②School of Electrics and Information Engineering, Liaoning Technical University, Huludao 125105, China |
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Abstract Volterra-series behavioral model for Radio Frequency (RF) power amplifier is limited to “weak” nonlinearity because of high computational complexity. In order to reduce computational complexity or the number of coefficient of Volterra-series kernels, the two approaches, based on Chebyshev orthogonal polynomials function and Laguerre orthogonal polynomials function, are proposed, and the mathematical expressions of Volterra-Chebyshev and Volterra-Laguerre behavioral model is derived, and Volterra-laguerre model is simulated. Mathematical analysis and simulation results show that Volterra-Chebyshev and Volterra-Laguerre behavioral model have a simplified structure and reductive coefficients than general Volterra-series model.
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Received: 19 January 2007
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2008, Vol. 30 
