A New Sparse Optimal Array Design Based on Extended Nested Model for High-Resolution DOA Estimation

Abstract

In this paper, we propose a new strategy with increased element spacings placed on two-side subarrays and increase the physical sparse sensors array aperture. In order to ensure the continuity of difference co-array, four conditions are proposed. Based on these conditions, a new array structure named TS2-ENA is derived. Compared with other nested-like arrays with a fixed number of elements, our proposed structure possesses a higher degree of freedom, closed-form expression and outstanding performance. Simulation results show the superiority of the new configuration with the spacial smoothing MUSIC algorithm conducted.

Self-Calibration for Sparse Uniform Linear Arrays with Unknown Direction-Dependent Sensor Phase by Deploying an Individual Standard Sensor

“…Array signal processing techniques, such as the high-resolution direction-of-arrival (DOA) estimation [1,2] and adaptive beamforming [3], are sensitive to the unknown sensor responses. Calibration of sensor response is an important step to improve not only the DOA estimation but also the following adaptive beamformers: hydrophones ( [4], Chapter 4), the fiber optic strain sensor [5] in an acoustic system, or antennas [6] in an electromagnetic system.…”