Spectral factorization for integer-interval sampled sequence and its applications in array processing

Authors:
Zhu Liang Yu;Meng Hwa Er;Wee Ser;Zhenghui Gu
Affiliations:
School of Automation Science and Engineering, South China University of Technology, China and Center for Signal Processing, Nanyang Technological University, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore;School of Automation Science and Engineering, South China University of Technology, China and Institute of Infocomm Research, Singapore
Venue:
Signal Processing
Year:
2008

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Abstract

Spectral factorization (SF) has been well developed for a uniformly sampled sequence (USS). Our recent study found important applications of SF for a non-uniformly sampled sequence (NUSS) in array processing, especially considering arbitrary arrays. Since SF for an arbitrarily sampled sequence is intractable, in this paper, we propose a new SF method for an integer-interval sampled sequence (IISS). Its applications in robust adaptive beamforming and array pattern synthesis for a non-uniform linear array (NULA) are studied. Simulation results show the outstanding performance of the proposed method.