Enhanced Array Aperture using Higher Order Statistics for DoA Estimation

TL;DR

This paper introduces a novel DoA estimation method leveraging fourth order statistics to significantly enhance array aperture and resolution, enabling more accurate and higher DoF with fewer sensors.

Contribution

The paper proposes a new approach based on fourth order statistics that extends array aperture and DoF, surpassing previous methods in resolution and accuracy.

Findings

Increases array aperture to O(16N^4) with N sensors.

Enhances resolution capacity and DoF compared to existing methods.

Simulation results validate improved estimation accuracy.

Abstract

Recently, the higher order statistics (HOS) and sparsity based array are most talked about techniques to estimate the Direction of Arrival (DoA). They not only provide enhanced Degree of Freedom (DoF) to handle underdetermined cases but also improve the estimation accuracy of the system. To achieve high accuracy and more number of DoF with limited number of sensors, here we have proposed a method based on the fourth order statistics. The aperture of virtual array becomes O(16N^4) using N physical sensors. Proposed method can be extended to the HOS which increases the DoF by many folds. Numeric simulation validates these claims that the proposed method increases the resolution capacity as well as maximize the DoF among all the earlier proposed method.