Dynamic behavioral modeling of 3G power amplifiers using real-valued time-delay neural networks

By Taijun Liu, Slim Boumaiza, Fadhel M. Ghannouchi. IEEE transactions on microwave theory and techniques, 2004

314 citations recorded by the source corpus.

Subfields: Condensed Matter Physics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/92b17b212c8f0e35640660cd2f2fa101466cb4e6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Condensed Matter Physics

1. Daniel Rönnow
2. Magnus Isaksson
3. David H. Wisell
4. Fadhel M. Ghannouchi
5. Slim Boumaiza
6. Taijun Liu

In Electrical and Electronic Engineering

1. Fadhel M. Ghannouchi
2. Daniel Rönnow
3. Magnus Isaksson
4. David H. Wisell
5. Slim Boumaiza
6. Taijun Liu
7. Anding Zhu
8. Oualid Hammi

Citations in the corpus

• Wide-band dynamic modeling of power amplifiers using radial-basis function neural networks (2005, methodology): “A second set of input–output signals was measured and used for validation.”
• Deembedding static nonlinearities and accurately identifying and modeling memory effects in wide-band RF transmitters (2005, background): “[3] proposed a real-valued time-delay neural network to establish a dynamic behavioral model of 3G power amplifiers.”
• Complex-Chebyshev Functional Link Neural Network Behavioral Model for Broadband Wireless Power Amplifiers (2012, methodology): “boxes in the model and the different model structure, these reported models can be categorized as memoryless look-up table model [6], [7], Volterra model [8]–[11], Wiener and augmented Wiener model [12], [13], Hammerstein and Enhanced Hammerstein model [14], generalized memory polynomial model [15]–”