US Patent Issued on April 8 for "Integrating Volterra series model and deep neural networks to equalize nonlinear power amplifiers" (New York, Pennsylvania Inventors)

ALEXANDRIA, Va., April 9 -- United States Patent no. 12,273,221, issued on April 8.

"Integrating Volterra series model and deep neural networks to equalize nonlinear power amplifiers" was invented by Xiaohua Li (Johnson City, N.Y.) and Robert Thompson (Quakertown, Pa.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The nonlinearity of power amplifiers (PAs) has been a severe constraint in performance of modern wireless transceivers. This problem is even more challenging for the fifth generation (5G) cellular system since 5G signals have extremely high peak to average power ratio. Nonlinear equalizers that exploit both deep neural networks (DNNs) and Volterra series models are provided to mitigate PA nonlinear...