Cube Coordinate Subspaces for Nonlinear Digital Predistortion

Power amplifiers are a crucial part of many systems such as broadcasting and radio communications. However, they often possess nonlinearities that can cause system inefficiencies and output distortion. Linearizing these wideband power amplifiers is therefore essential to ensure their optimal performance and the overall efficiency of the systems into which they are embedded. Current approaches to this problem include predistortion methods that proactively counteract the negative effects of these nonlinearities. However, these methods often require a high degree of computational complexity, making them unwieldy and inefficient, especially for systems that utilize wideband power amplifiers. Limitations in hardware implementation, cost-efficiency, and scalability pose significant challenges, necessitating the development of an alternative solution.

Technology Description

This invention encompasses a method for handling a mathematical approach that enables efficient search for and  identification of particular regions in a multidimensional signal space. Using this approach, the inversion of power amplifier nonlinearities is enabled with a remarkable reduction in computational complexity, making its hardware implementation more manageable and efficient. It specializes in linearizing a wideband power amplifier by representing its response with certain coefficients within a cube coefficient subspace and subsequently performing a search over the full multidimensional subspace. This technology stands out because of its ability to identify a vector of cube coefficient subspace coefficients. These identified coefficients are then used to linearize the wideband power amplifier. This innovative approach, therefore, greatly simplifies and expedites the process of wideband power amplifier linearization while keeping the computational complexity at a minimum. This realization of maximizing efficiency and reducing resources distinguishes the technology from the existing solutions in the market.