Convergence behaviour of an adaptive feedforward linearizer

Feedforward linearization has advantages in bandwidth and generality over other linearization methods. However, it is based on the subtraction of nearly equal quantities, so its major parameters must adapt to changes in environmental or operating conditions. The paper is the first published analysis of adaptation behaviour in a linearized feedforward amplifier. It presents an analytical framework and several new results, including convergence time and coefficient jitter, a bias effect that leads to extreme accuracy requirements in one coefficient, and the effect of delay mismatch