Dynamic Volterra Kernel Selection for Digital Pre-Distortion

The patent implements dynamic selection of Volterra kernels based on current operating conditions (modulation scheme, power level, carrier configuration). Instead of using a fixed large set of kernels for all scenarios, the system adaptively determines which kernels are needed for the current state, reducing computational complexity while maintaining versatility across different modulation standards and configurations.

The patent extracts and selects only the dominant Volterra kernels that are most relevant to the current power amplifier operating conditions. By identifying and removing unnecessary kernels from the computational set, the system maintains accurate modeling of PA non-linearities while significantly reducing the number of computations required for adaptation convergence.

The patent removes redundant kernel forms from the orthogonal polynomial expansion by selectively including only the necessary orders and types of Volterra kernels for the current operating conditions. This eliminates the redundancy where higher order forms contain lower order forms, while preserving the fast convergence benefits of orthogonal polynomials for the essential kernel components.