Method for designing complex-valued channel equalizer
US11909566B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 28, 2021 |
| Grant date | Feb 20, 2024 |
| Priority date | — |
| Expiry date | Jul 21, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L25/03019
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present invention discloses a method for the design of complex-valued channel equalizer of digital communication systems, including: constructing a channel equalizer by using a complex-valued neural network; collecting the output signal y(n)=[y(n), y(n−1), . . . , y(n−m+1)]T of the nonlinear channel of the underlying digital communication system as the input of complex-valued neural network and s(n−τ) as the desired output, and taking the mean squared error as the loss function for the training of complex-valued neural network, which is optimized by the proposed adaptive complex-valued L-BFGS algorithm, and finally using it to implement the design of channel equalizer for digital communication systems. The present invention proposes the use of a multi-layer feedforward complex-valued neural network to construct complex-valued channel equalizer. A new adaptive complex-valued L-BFGS algorithm is proposed for efficient training of complex-valued neural network, which is eventually applied to facilitate the design of the channel equalizer for digital communication systems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.