DOA Estimation of Distributed Array with Single Snapshot

XIANG Hong; WANG Jun; WEI Shaoming; GAO Yue; MAO Shiyi

doi:10.11999/JEIT160093

Volume 38 Issue 11

Dec. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(11): 2767-2773

XIANG Hong, WANG Jun, WEI Shaoming, GAO Yue, MAO Shiyi. DOA Estimation of Distributed Array with Single Snapshot[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2767-2773. doi: 10.11999/JEIT160093

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XIANG Hong, WANG Jun, WEI Shaoming, GAO Yue, MAO Shiyi. DOA Estimation of Distributed Array with Single Snapshot[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2767-2773. doi: 10.11999/JEIT160093

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DOA Estimation of Distributed Array with Single Snapshot

doi: 10.11999/JEIT160093

1.
(School of Electronics and Information Engineering, Beihang University, Beijing 100191, China)
2.
(Space Star Technology Corporation, LTD, Beijing 100086, China)

Funds:

The National Natural Science Foundation of China (61471019, 61501011, 61501012), The Fundamental Research Funds for the Central Universities (YWF-15-GJSYS-0068), The Key Laboratory Foundation (9140C800101140C80331)

Received Date: 2016-01-19
Rev Recd Date: 2016-06-08
Publish Date: 2016-11-19

Abstract

Abstract

An algorithm of Directions Of Arrival (DOA) estimation based on the state-space method is proposed to deal with the problem of estimating DOA of multiple source signals from a single observation vector of distributed array. Hankle matrixes are firstly constructed by using the single snapshot of every subarray element. Then low accuracy and unambiguous DOA estimations are obtained by the single subarray, while high accuracy and ambiguous DOA estimations are obtained by the distributed array. Finally, high accuracy and unambiguous DOA estimations are obtained by using automatic pairing decorrelating. This algorithm has no relations with the correlation signals and can fully take advantage of the large aperture to acquire high DOA estimation. Computer simulation results confirm the effectiveness of the proposed algorithm.
- DOA estimation,
- Distributed array,
- Hankle matrix,
- Decorrelating

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References(30)

References

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