Direction of arrival estimation using ESPRIT with sparse arrays

Abstract

In this paper we consider the problem of direction of arrival (DOA) estimation with a sparse linear array, characterized by several separated subarrays. The proposed ambiguity resolution algorithm based on the MUSIC algorithm or conventional beamformer improves previous disambiguation scheme. A new ESPRIT-based DOA estimator is obtained for linear subarray-based sparse array. Simulation results are included to show the performance of proposed estimator.