Joint 2D Direction-of-Arrival and Range Estimation for Nonstationary Sources

Abstract EN

Passive localization of nonstationary sources in the spherical coordinates (azimuth, elevation, and range) is considered, and a parallel factor analysis based method is addressed for the near-field parameter estimation problem.

In this scheme, a parallel factor analysis model is firstly constructed by computing five time-frequency distribution matrices of the properly chosen observation data.

In addition, the uniqueness of the constructed model is proved, and both the two-dimensional (2D) direction-of-arrival (DOA) and range can be jointly obtained via trilinear alternating least squares regression (TALS).

The investigated algorithm is well suitable for near-field nonstationary source localization and does not require parameter-pairing or multidimensional search.

Several simulation examples confirm the effectiveness of the proposed algorithm.