Joint frequency, 2-d DOA, and polarization estimation using parallel factor analysis

Jun Li Liang, Ding Liu, Jun Ying Zhang

科研成果: 期刊稿件文章同行评审

8 引用 (Scopus)

摘要

This paper proposes a new algorithm for joint frequency, two-dimensional (2-D) directions-of-arrival (DOA), and polarization estimation using parallel factor (PARAFAC) analysis model and cumulant. The proposed algorithm designs a new array configuration, and extends the PARAFAC analysis model from the common data-domain and subspace-domain to the cumulant one, and forms three-way arrays by using the three cumulant matrices obtained from the properly chosen dipole outputs, and analyzes the uniqueness of low-rank decomposition of the three-way arrays, and then jointly estimates the source parameters via the low-rank decomposition of the constructed PARAFAC model. In comparison with the conventional methods, the proposed method alleviates the aperture loss, and avoids pairing parameter. Finally, the simulation results are presented to validate the performance of the proposed method.

源语言英语
页(从-至)1891-1904
页数14
期刊Science in China, Series F: Information Sciences
52
10
DOI
出版状态已出版 - 2009
已对外发布

指纹

探究 'Joint frequency, 2-d DOA, and polarization estimation using parallel factor analysis' 的科研主题。它们共同构成独一无二的指纹。

引用此