A Method for Adaptive Channel Estimation

We present a method for adaptive acoustic communication channel estimation. This method utilizes the data detection mean-squared error (MSE) to simultaneously estimate the channel and track the Doppler-induced delay drift and phase offset by employing a delay-locked loop (DLL) coupled with a phase-locked loop (PLL). Through simulations, we compare the proposed method with conventional approaches, specifically the least mean squares (LMS) and recursive least squares (RLS) algorithms, demonstrating excellent results in terms of channel estimation normalized MSE. Using experimental data, we evaluate the proposed method in mobile scenarios, showcasing the effective tracking operation of the Doppler-induced delay drifts.