Array response interpolation and DOA estimation with array response decomposition
Artikel i vetenskaplig tidskrift, 2016

High-resolution direction-of-arrival (DOA) estimation requires an accurate array response model, which is usually achieved by measuring the response for given directions of the sources and employing interpolation. This paper considers the array response interpolation and DOA estimation by coherently combing parametric modeling and interpolation techniques. The proposed method is to decompose the array response as a product of a mutual coupling matrix, an ideal array response vector (dependent on the geometry of antenna array) and a DOA-dependent correction vector. Our idea is now that the correction vector will be a smoother function of DOA as compared to direct interpolation, since parts of the phase variation in one embedded element are due to the mutual coupling and the ideal array response. In numerical experiments of a real antenna array, the method is found to improve the performance of array response interpolation and DOA estimation significantly when the array response is updated by interpolation of the correction vector. In addition, we show how the DOA estimation performance can be predicted using a simple model of the interpolation error statistics.

Array response interpolation

Direction-of-arrival (DOA) estimation

Parametric modeling

Correction vector

Författare

Bin Yang

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

Tomas McKelvey

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

Mats Viberg

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

Ganghan Xu

Beihang University

Signal Processing

0165-1684 (ISSN)

Vol. 125 97-109

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Signalbehandling

DOI

10.1016/j.sigpro.2015.12.023

Mer information

Senast uppdaterat

2018-05-08