Envelope Tracking PA Time Alignment Using Fast Convolution

The patent segments the time alignment computation into two distinct phases: a coarse time alignment stage using low-resolution sampling to establish initial delay estimates, and a fine time alignment stage using high-resolution sampling to refine the estimates. This segmentation allows the system to achieve high measurement precision in the fine alignment stage without requiring the entire system to process large data arrays continuously, thereby reducing the overall silicon resource requirements while maintaining accurate time alignment capability.

The patent applies preliminary action by performing coarse time alignment computations first using low-resolution sampling to obtain initial delay estimates. These preliminary estimates are then used to guide the subsequent fine time alignment stage, which processes only a limited number of high-resolution samples around the estimated delay positions. This preliminary action reduces the overall computation time by avoiding the need to process entire large data arrays at high resolution, while still achieving high measurement precision in the final time alignment result.

The patent segments the time alignment process into a coarse alignment phase that provides initial delay estimates and a fine alignment phase that refines these estimates. By structuring the computation this way, the system achieves high measurement precision through the fine alignment stage without requiring multiple iterative measurements across the entire signal duration. The segmentation allows the system to converge to accurate results more efficiently, improving productivity by reducing the total number of computational iterations needed compared to traditional iterative approaches that process full data arrays repeatedly.