High precision direction-of-arrival estimation for wideband signals in environment with interference based on complex-valued neural networks

Abstract

We propose a null steering scheme for wideband acoustic pulses and narrow band interference (NBI) using direction of arrival (DoA) estimation based on complex-valued spatio-temporal neural networks (CVSTNNs) and power inversion adaptive array (PIAA). For acoustic imaging, pulse spectrum should be wide to make the pulses less invasive. When a pulse has a wide frequency band, narrow band interference causes DoA errors in conventional CVSTNN. We use the weights of PIAA as the initial weights of CVSTNN to achieve higher precision in DoA estimation. Simulations demonstrate that the proposed method realizes accurate DoA estimation than the conventional CVSTNN method.