Direction of arrival estimation by modified orthogonal propagator method with linear prediction in low SNR scenarios - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Signal Processing Année : 2019

Direction of arrival estimation by modified orthogonal propagator method with linear prediction in low SNR scenarios

Résumé

In propagator based methods for Direction of Arrival (DoA) finding, conventional approaches for eliminating the noise impact are based on signal enhancement or noise power estimation. In this paper, a new method is introduced from another point of view. When the noise is an additive spatially and temporally white Gaussian noise, theoretically, it only impacts the diagonal elements of the data covariance matrix. Firstly, the proposed method utilizes the principle of Linear Prediction (LP) to rebuild the denoised diagonal elements of the data covariance matrix. Then, the Orthogonal Propagator Method (OPM) is directly applied for DoA estimation. Compared with the conventional OPM-based methods, the proposed method is more robust to the noise, especially in low Signal to Noise Ratio (SNR) scenarios. Simulation examples are provided to demonstrate the performance of the proposed method.
Fichier principal
Vignette du fichier
Sun et al_2018_Direction of arrival estimation by modified orthogonal propagator method with.pdf (659.12 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01908223 , version 1 (09-11-2018)

Identifiants

Citer

Meng Sun, Yide Wang, Jingjing Pan. Direction of arrival estimation by modified orthogonal propagator method with linear prediction in low SNR scenarios. Signal Processing, 2019, 156, pp.41-45. ⟨10.1016/j.sigpro.2018.10.013⟩. ⟨hal-01908223⟩
157 Consultations
163 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More