Direction of Arrival Estimation Based on the Multistage Nested Wiener Filter | Zendy

Xiaodong He | Zendy; Bin Tang | Zendy

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Direction of Arrival Estimation Based on the Multistage Nested Wiener Filter

Author(s) -

Xiaodong He,

Bin Tang

Publication year - 2015

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2015/634637

Subject(s) - computer science , direction of arrival , signal (programming language) , beamforming , algorithm , wiener filter , interference (communication) , adaptive beamformer , filter (signal processing) , phase (matter) , antenna array , function (biology) , computation , antenna (radio) , telecommunications , physics , channel (broadcasting) , quantum mechanics , evolutionary biology , computer vision , biology , programming language

A novel direction of arrival (DOA) estimation technique based on data level and order recursive Multistage Nested Wiener Filters (MSNWF) which is used in adaptive beamforming for subarray signal is proposed in this paper. The two subarrays using the same array geometry are used to form a signal whose phase relative to the reference signal is a function of the DOA. The DOA is estimated by calculating the phase-shift between the reference signal and its phase-shifted version. The performance of this DOA estimation technique is significantly improved due to the application of order recursive MSNWF for the rejection of interference signals. The computation of the proposed method is simple, and the number of detectable signal sources could exceed the number of antenna elements.

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